RE: LeoThread 2024-10-26 11:47

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Here is the daily technology #threadcast for 10/26/24. The goal is to make this a technology "reddit".

Drop all question, comments, and articles relating to #technology and the future. The goal is make it a technology center.



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FTC hits Lyft with $2.1M penalty for luring drivers with false earnings )claims

Lyft has agreed to a $2.1 million settlement proposed by the FTC over the car-hailing company's "deceptive earnings claims about how much money drivers

#lyft #ftc #technology #lawsuit

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As documented in the FTC’s complaint document, Lyft systematically inflated the incomes it advertised to drivers it was attempting to recruit in 2021 and 2022. For instance, in LA it suggested drivers would be offered up to $43 per hour. “Lyft failed to disclose that these amounts did not represent the income an average driver could expect to earn, but instead were based on the earnings of the top one-fifth of drivers,” and the difference was up to 30%.

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“Lyft claimed that Drivers in New Jersey could earn up to $34 per hour when Lyft’s own calculations put the median earnings at only $25 per hour. In the same month, Lyft claimed that Drivers in Boston could earn up to $42 per hour when median earnings were just $33 per hour,” the FTC wrote in the complaint.

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Not only that, but the advertised hourly rates were inclusive of customer-provided tips, while implying to any normal reader that it was a base rate. So the effective rate was likely $5 to $10 lower even than the unstated average.

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The fediverse is getting its own TikTok competitor called Loops

Similar to how Mastodon offers an open source, distributed version of X, the fediverse is getting its own TikTok competitor.

Similar to how Mastodon offers an open source, distributed version of X, the fediverse is getting its own TikTok competitor. This week, an app called Loops began accepting signups on its new platform for sharing short, looping videos. Still in the early stages, Loops is not yet open sourced, nor has it completed its integration with ActivityPub, the protocol that powers Mastodon, Pixelfed, PeerTube, and other federated apps.

#fediverse #tiktok #shorts #loops #technology #socialmedia

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However, both those efforts are in the works and when complete, will allow Loops to add another layer of social activity to the growing open social web known as the fediverse, which now has north of 11.6 million users and over 1 million monthly active users. (Mastodon accounts for roughly 65% of that activity.) Growth in this space has also encouraged other apps to adopt ActivityPub, like social magazine app Flipboard and Meta’s Threads. The latter is not yet fully integrated but already has more than 200 million monthly active users.

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Loops, meanwhile, was developed by Daniel Supernault, who also created the federated Instagram rival Pixelfed. In fact, Loops will run under the Pixelfed project, according to an FAQ on its website.

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In addition to the eventual benefit of being open source and distributed, Loops claims it will not sell or provide user data to third-party advertisers, use your content to train AI models, or gain the rights to any content uploaded on its service. Instead, users only grant Loops permission to use their content, but will retain full ownership of their contributions, the Loops website explains.

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Delta sues CrowdStrike after widespread IT outage that caused thousands of cancellations

Delta is seeking damages for its losses from the July IT incident, as well as litigation costs and punitive damages.

Delta Air Lines on Friday filed a lawsuit against CrowdStrike in Georgia, accusing the security software vendor of breach of contract and negligence after an outage in July that brought down millions of computers and prompted 7,000 flight cancelations.

#delta #lawsuit #crowdstrike #outage

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Other airlines recovered more quickly than Atlanta-based Delta, which said the incident reduced revenue by $380 million and brought $170 million in costs. The flawed software update affected computers running Microsoft's Windows operating system.

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Days after the outage, Delta hired David Boies of law firm Boies Schiller Flexner to seek damages from CrowdStrike and Microsoft. Delta asked for damages to cover its losses, along with litigation costs and punitive damages.

"CrowdStrike caused a global catastrophe because it cut corners, took shortcuts, and circumvented the very testing and certification processes it advertised, for its own benefit and profit," Delta said in its complaint. "If CrowdStrike had tested the Faulty Update on even one computer before deployment, the computer would have crashed."

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Missouri AG probing Google for allegedly 'manipulating search results' ahead of 2024 election

Google faces an investigation by the Missouri AG’s office for allegedly “manipulating search results” and exhibiting anti-conservative bias ahead of the election.

Google faces an investigation by the Missouri attorney general for allegedly “manipulating search results” and exhibiting anti-conservative bias ahead of the 2024 election.

#election #google #missouri #fraud

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Missouri Attorney General Andrew Bailey said he will issue subpoenas to “get to the bottom of what appears to be election interference by Google,” a spokesperson for the Republican told The Post on Friday.

Bailey will be seeking information about the black-box algorithm that powers Google search — which has come under fire from Donald Trump leading up to the election for yielding mostly negative articles about the Republican presidential candidate.

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“Evidence has come to light that Google is de-emphasizing conservative speech or content — such as putting conservative reporting on Page 11 rather than Page 1 — by manipulating search results,” the spokesperson said.

“Google is the largest search engine in America and has an obligation to consumers to utilize fair business practice,” the spokesperson added. “We will be subpoenaing information on Google’s algorithms and other systems to determine whether they are censoring conservative speech.”

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Bailey accused Google of “waging war on the democratic process” in an X post announcing the probe on Thursday.

“I am launching an investigation into Google — the biggest search engine in America — for censoring conservative speech during the most consequential election in our nation’s history,” Bailey wrote.

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What is Apple Intelligence, when is it coming and who will get it?

Apple Intelligence was designed to leverage things that generative AI already does well, like text and image generation, to improve upon existing features.

#apple #appleintelligence #ai #technology #generateiveai

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Apple Intelligence: A Pragmatic Approach to AI Integration

After months of anticipation, Apple has finally unveiled its strategic entry into the artificial intelligence arena with Apple Intelligence (AI), marking a characteristically methodical approach that focuses on practical integration rather than standalone features. Set for release in late October 2024, this new platform represents Apple's distinctive vision for AI implementation across its ecosystem.

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Core Features and Implementation

Apple Intelligence isn't positioned as a separate product but rather as a sophisticated enhancement to existing Apple services. The platform introduces several key features:

  • Writing Tools: An LLM-powered system integrated across Mail, Messages, Pages, and Notifications, offering capabilities like text summarization, proofreading, and context-aware message composition.
  • Image Generation: Including custom emoji creation (Genmojis) and a dedicated image Playground app for creating shareable visual content.
  • Enhanced Siri: A significant upgrade to Apple's virtual assistant, featuring deeper system integration and cross-app functionality, marked by a subtle glowing edge interface rather than the traditional icon.
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Hardware Requirements and Availability

The platform will be available exclusively on newer Apple devices with advanced processing capabilities:

  • iPhone 16 (all models)
  • iPhone 15 Pro and Pro Max (A17 Pro)
  • iPad Pro and Air (M1 and later)
  • Mac devices with M1 chips or newer
  • iPad mini with A17 or later
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Rollout Strategy and Localization

The initial release will come through iOS 18.1, iPadOS 18.1, and macOS Sequoia 15.1, with additional features arriving in version 18.2. The platform launched first in U.S. English, followed by support for other English variants (Australian, Canadian, New Zealand, South African, and UK). Further language support, including Chinese, French, German, and others, is planned for 2025, though regulatory challenges may affect availability in China and the EU.

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Technical Architecture and privacy

Apple has adopted a unique "small-model, bespoke approach" to AI implementation, focusing on task-specific datasets rather than general-purpose models. This strategy enables:

  • On-device processing for many tasks
  • Private cloud Compute for more complex operations
  • Seamless switching between local and cloud processing
  • Enhanced privacy protection through Apple Silicon-powered remote servers
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Third-Party Integration

A notable aspect of Apple Intelligence is its integration with OpenAI's ChatGPT, available in version 18.2. This partnership provides:

  • Supplementary knowledge base for Siri
  • Enhanced writing tools through the Compose feature
  • Free access to basic ChatGPT features, with premium features available for paid ChatGPT subscribers
  • Future plans to integrate additional AI services, with Google Gemini likely next in line
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Market Positioning

Apple's entry into the AI space reflects its traditional approach to new technologies: methodical, integrated, and focused on practical user benefits. By branding it as "AI for the rest of us," Apple positions its offering as a more accessible and practical implementation of artificial intelligence, emphasizing seamless integration over standalone features.

The platform represents a significant step forward in Apple's AI strategy, balancing innovation with practicality while maintaining its commitment to privacy and user experience. As the platform continues to evolve with future updates and partnerships, it may well define a new standard for consumer AI integration in everyday computing.

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Former OpenAI Staffer Says the Company Is Breaking Copyright Law and Destroying the Internet

Is OpenAI breaking U.S. copyright law? A former employee of the company says yes.

A former researcher at the OpenAI has come out against the company’s business model, writing, in a personal blog, that he believes the company is not complying with U.S. copyright law. That makes him one of a growing chorus of voices that sees the tech giant’s data-hoovering business as based on shaky (if not plainly illegitimate) legal ground.

#openai #copyright #internet #ai

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What is Apple Intelligence? Here’s everything the iPhone 16’s AI can do

Apple Intelligence is a new suite of AI features coming to iOS 18.1, iPadOS 18.1, and macOS Sequoia 15.1 on compatible devices—including the new iPhone 16 and iPhone 16 Pro. Here is everything you should know about Apple Intelligence, including the features it will bring to your iPhone, Mac, and iPad when it launches.

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Apple Intelligence is Apple’s unique branding for its suite of AI features debuting later this year, starting with iOS 18.1, iPadOS 18.1, and macOS Sequoia 15.1.

Those first AI releases won’t launch until October, and additional features will arrive later in the year and into 2025.

Craig Federighi summed up Apple Intelligence this way during the WWDC keynote:

Apple Intelligence is the personal intelligence system that puts powerful generative models right at the core of your iPhone, iPad, and Mac.

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There are five key pillars of Apple Intelligence that, in combination, distinguish it from other AI (artificial intelligence) tools that already exist.

  • Powerful: Capable of offering truly useful help
  • Intuitive: Easy to use and accessible
  • Integrated: Baked into the core of your devices
  • Personal: Understands your personal context
  • Private: Built from the ground up for privacy
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Apple believes no one else has an AI offering that can check all these boxes—a claim that certainly seems true.

The goal of Apple Intelligence? Tim Cook put it well in his introduction: “to make your most personal products even more useful and delightful.”

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Because of the advanced computing resources necessary to properly power these features, Apple Intelligence is limited to a select number of modern devices:

iPhone 16, 16 Plus, 16 Pro, 16 Pro Max, and iPhone 15 Pro and Pro Max
iPads with M1, M2, or M4 chip
Macs with M1, M2, or M3 chip
If you buy any of the new iPhone 16 models, you’ll be set for Apple Intelligence. But if not, the only iPhones that will support these new AI features are last year’s 15 Pro models.

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Former OpenAI Staffer Says the Company Is Breaking Copyright Law and Destroying the Internet

Is OpenAI breaking U.S. copyright law? A former employee of the company says yes.

A former researcher at the OpenAI has come out against the company’s business model, writing, in a personal blog, that he believes the company is not complying with U.S. copyright law. That makes him one of a growing chorus of voices that sees the tech giant’s data-hoovering business as based on shaky (if not plainly illegitimate) legal ground.

#openai #copyright #internet #technology #ai

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“If you believe what I believe, you have to just leave the company,” Suchir Balaji recently told the New York Times. Balaji, a 25-year-old UC Berkeley graduate who joined OpenAI in 2020 and went on to work on GPT-4, said he originally became interested in pursuing a career in the AI industry because he felt the technology could “be used to solve unsolvable problems, like curing diseases and stopping aging.” Balaji worked for OpenAI for four years before leaving the company this summer. Now, Balaji says he sees the technology being used for things he doesn’t agree with, and believes that AI companies are “destroying the commercial viability of the individuals, businesses and internet services that created the digital data used to train these A.I. systems,” the Times writes.

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This week, Balaji posted an essay on his personal website, in which he argued that OpenAI was breaking copyright law. In the essay, he attempted to show “how much copyrighted information” from an AI system’s training dataset ultimately “makes its way to the outputs of a model.“ Balaji’s conclusion from his analysis was that ChatGPT’s output does not meet the standard for “fair use,” the legal standard that allows the limited use of copyrighted material without the copyright holder’s permission.

“The only way out of all this is regulation,” Balaji later told the Times, in reference to the legal issues created by AI’s business model.

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Gizmodo reached out to OpenAI for comment. In a statement provided to the Times, the tech company offered the following rebuttal to Balaji’s criticism: “We build our A.I. models using publicly available data, in a manner protected by fair use and related principles, and supported by longstanding and widely accepted legal precedents. We view this principle as fair to creators, necessary for innovators, and critical for US competitiveness.”

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Rental car startup Kyte slashes staff and shrinks to two markets in bid for survival

Rental car startup Kyte, which bills itself as the "best alternative to Hertz," is pulling out of almost all of its major markets in the United States

Rental car startup Kyte, which bills itself as the “best alternative to Hertz,” is pulling out of almost all of its major markets in the United States and has cut its workforce roughly in half in a bid to survive after exploring a sale earlier this year.

#kyte #rentalcar #technology #business

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The company is shrinking its operations to focus only on San Francisco and New York City (including Jersey City) as it works to reach profitability in the next 18 months, CEO Nikolaus Volk told TechCrunch. Kyte has been exiting other major markets like Atlanta, Chicago, Boston, Washington, D.C., Philadelphia, and Seattle. It started telling customers in Los Angeles that it is suspending operations in that city after November 7, as Curbivore reported Thursday.

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'Yikes': While gaming, Musk inadvertently broadcasts 'scary' near-abort of Starship booster landing

Elon Musk occasionally posts clips of his video game plays to his social media platform X — but a recent clip includes background audio of a SpaceX

Elon Musk occasionally posts clips of his video game plays to his social media platform X — but a recent clip includes background audio of a SpaceX engineer telling Musk how the most recent Starship flight test was “one second away” from an abort. The clip, posted on Friday, was caught by Reuters’ Joey Roulette on X, but it’s not clear if the conversation between Musk and Starship engineers occurred that same day.

#spacex #elonmusk #starship #space

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“I want to be really upfront about scary shit that happened,” the unnamed engineer said, seemingly as Musk played Diablo IV. He went on to explain that a misconfigured component didn’t have the right “ramp up time for bringing up spin pressure” on the booster.

“We were one second away from that tripping and telling the rocket to abort and try to crash into the ground next to the tower,” the engineer says.

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“Wow,” Musk says in response. “Yikes.”

The same engineer went on to say that right before engine startup on the booster’s descent back to Earth, a cover on the skin of the booster ripped off, apparently in a place that had been spot welded. “We wouldn’t have predicted the exact right place, but this cover that ripped off was right on top of a bunch of the single point failure valves that must work during the landing burn. So thankfully, none of those or the harnessing got damaged, but we ripped this chine cover off over some really critical equipment right as landing burn was starting. We have a plan to address that.”

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Apple confirms 'exciting week of announcements' for Mac starting on Monday

While it’s not an event, Apple has officially confirmed that next week will be an “exciting week of announcements”

While it’s not an event, Apple has officially confirmed that next week will be an “exciting week of announcements” starting on Monday morning. The teaser was posted to social media by Apple’s marketing VP Greg Joswiak.

This announcements are expected to focus on the Mac and Apple’s transition to the M4 chip. Head below for the full details on what’s to come.

#mac #apple #company #technology

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There are no other details provided on what form next week’s announcements will take. We’d expect a series of press releases over the course of the week, perhaps with a few accompanying videos. We’ll have to wait and see for sure. Apple has also invited select creators to in-person hands-on events in Los Angeles next week.

Next week is expected to be focused entirely on the Mac, with updates to the iMac, MacBook Pro, and Mac mini on the horizon. All of these new Macs will be powered by the M4 chip, which first made its debut in the iPad Pro back in May.

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Nobody Can Rent Twister, the Last DVD Trapped in Redbox’s Dead Video Business

Hardware nerds just want to see Bill Paxton and Helen Hunt outrun a tornado. Why isn't that possible?

Though Redbox, the DVD vending machine company, is officially dead, the company’s disc-dispensing kiosks are still strewn all over America. The machines still work and there are still hundreds of DVDs inside of them. Lately, those machines have been getting sold off to various hardware enthusiasts who have, in turn, been reverse-engineering them to figure out how they work, and to dispense the movies trapped inside. Well, with one exception: Twister.

#twister #redbox #technology #bankruptcy #dvd

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404 Media reports that, for some weird reason, the army of amateur hardware enthusiasts who have been futzing with the company’s machines cannot figure out how to get the 1996 disaster flick out of them. To illuminate this bizarre conundrum, 404 cites a series of Reddit threads and Discord communities where the hardware pros have been posting about the issue. “Sorry, there was a problem with the purchased items in your cart. Please remove these items from your cart in order to continue,” an alert from the kiosk reads, whenever someone tries to rent Twister. This issue impacts “seemingly every Redbox kiosk and is not happening with any other movie,” the outlet writes.

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404 Media writes that the machine’s refusal to dispense Twister “appears to be either a licensing dispute or software bug.” The outlet further states that one of the prevailing theories is that “Redbox’s licensing agreement for Twister ran out ahead of the release of its sequel, Twisters, and there is a hard-coded date where checking out with Twister in your cart was disabled.” That said, 404 notes nobody has been able to confirm this.

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Redbox swept onto the video rental scene in the early aughts, not long before the industry’s mom-and-pop store paradigm would be disrupted by the advent of Netflix and video streaming. Originally an offshoot of McDonald’s, the company expanded aggressively in the years after its founding. At one point, Redbox surpassed Blockbuster as the largest video rental retailer in the country. Now, of course, that’s all over, thanks to the dominance of streaming.

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In 1996, Twister was one of the first DVDs ever released. In 2024, Twister is the last DVD trapped inside Redbox DVD rental kiosks.

In recent weeks, thousands of DVDs have been “liberated” from abandoned Redbox machines all over the U.S. after the bankruptcy of the rental kiosk’s parent company. But a bizarre and still unexplained software error is preventing anyone from renting Twister, meaning that single movie is stuck inside many of the machines. To be clear, this is not happening with any other DVD, only Twister.

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Even after the bankruptcy of Redbox’s parent company, many kiosks have remained online and more-or-less functional. But for reasons that remain unclear to everyone, including, so far, the community of tinkerers who have taken machines home to reverse engineer them, Redbox machines simply refuse to rent out Twister for what appears to be either a licensing dispute or software bug.

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Encrypted Chat App ‘Session’ Leaves Australia After Visit From Police

Session, a small but increasingly popular encrypted messaging app, is moving its operations outside of Australia after the country’s federal law enforcement agency visited an employee’s residence and asked them questions about the app and a particular user. Now Session will be maintained by an entity in Switzerland.

#encryption #chat #application #technology #australia

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The move signals the increasing pressure on maintainers of encrypted messaging apps, both when it comes to governments seeking more data on app users, as well as targeting messaging app companies themselves, like the arrest of Telegram’s CEO in August.

“Ultimately, we were given the choice between remaining in Australia or relocating to a more privacy-friendly jurisdiction, such as Switzerland. For the project to continue, it could not be centred in Australia,” Alex Linton, president of the newly formed Session Technology Foundation (STF) which will publish the Session app, told 404 Media in a statement. The app will still function in Australia, Linton added.

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YC startup Pharos lands a $5M seed led by Felicis to bring AI to hospital quality reporting

Medical and administrative staff are increasingly overwhelmed with piles of paperwork they have to fill out every day.

Medical and administrative staff are increasingly overwhelmed with piles of paperwork they have to fill out every day.

Dozens, if not hundreds, of startups, are seeing opportunities to make those bureaucratic processes less burdensome with the help of generative AI. These companies are building AI medical scribes, platforms for pre-authorizing health insurance payments, and products for automatically extracting medical coding from patients’ electronic medical records (EMRs.)

#startup #technology #pharos #funding #healthcare

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But Pharos, a company that was a part of Y Combinator’s summer 2024 cohort, is applying AI to tackle another somewhat under-the-radar administrative function for hospitals: quality reporting to external clinical registries.

Organizations like Centers for Medicare & Medicaid Services (CMS) and the American College of Surgeons aim to measure each healthcare centers’ record on delivering safe and effective care for patients. Although reporting to these registries is not always mandatory, it’s often in the best interest of hospitals. These external organizations play a crucial role in identifying quality issues (such as an increase in post-surgery infections), which can be addressed to improve patient care.

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Billionth of a billionth of a second: Quantum entanglement ‘birth time’ clocked

Researchers used powerful computer simulations to model how

Quantum entanglement is one of the most perplexing phenomena in physics. This bizarre concept proposes that two particles become linked, and any change to one causes an “instantaneous” change in the other, even if they are separated by vast distances.

Prima facie, this concept challenges the laws of classical physics, and until now, the exact process of how this entanglement arises has been shrouded in mystery.

#quantum ##entanglement #technology #physics

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“You could say that the particles have no individual properties, they only have common properties. From a mathematical point of view, they belong firmly together, even if they are in two completely different places,” explained Prof. Joachim Burgdörfer from the Institute of Theoretical Physics at TU Wien.

It is in this context that researchers at TU Wien in Vienna have made a big stride. Working with colleagues in China, they have achieved a breakthrough in understanding the phenomenon of quantum entanglement, in a world first.

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The researchers have peered into the ultra-fast world of attoseconds. An attosecond is an incredibly short period of time – a billionth of a billionth of a second. This is the timescale where quantum entanglement emerges.

“We are interested in finding out how this entanglement develops in the first place and which physical effects play a role on extremely short time scales,” said Prof. Iva Březinová, one of the authors of the current publication.

To study this, the team used powerful computer simulations to recreate the interactions between atoms and intense laser pulses. They focused on atoms hit by an intense laser pulse.

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What Is Entanglement and Why Is It Important?

Entanglement is at the heart of quantum physics and future quantum technologies. Like other aspects of quantum science, the phenomenon of entanglement reveals itself at very tiny, subatomic scales. When two particles, such as a pair of photons or electrons, become entangled, they remain connected even when separated by vast distances. In the same way that a ballet or tango emerges from individual dancers, entanglement arises from the connection between particles. It is what scientists call an emergent property.

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How do scientists explain quantum entanglement?
In the video below, Caltech faculty members take a stab at explaining entanglement. Featured: Rana Adhikari, professor of physics; Xie Chen, professor of theoretical physics; Manuel Endres, professor of physics and Rosenberg Scholar; and John Preskill, Richard P. Feynman Professor of Theoretical Physics, Allen V. C. Davis and Lenabelle Davis Leadership Chair, and director of the Institute for Quantum Information and Matter.

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Unbreakable Correlation
When researchers study entanglement, they often use a special kind of crystal to generate two entangled particles from one. The entangled particles are then sent off to different locations. For this example, let's say the researchers want to measure the direction the particles are spinning, which can be either up or down along a given axis. Before the particles are measured, each will be in a state of superposition, or both "spin up" and "spin down" at the same time.

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If the researcher measures the direction of one particle's spin and then repeats the measurement on its distant, entangled partner, that researcher will always find that the pair are correlated: if one particle's spin is up, the other's will be down (the spins may instead both be up or both be down, depending on how the experiment is designed, but there will always be a correlation). Returning to our dancer metaphor, this would be like observing one dancer and finding them in a pirouette, and then automatically knowing the other dancer must also be performing a pirouette. The beauty of entanglement is that just knowing the state of one particle automatically tells you something about its companion, even when they are far apart.

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Are particles really connected across space?
But are the particles really somehow tethered to each other across space, or is something else going on? Some scientists, including Albert Einstein in the 1930s, pointed out that the entangled particles might have always been spin up or spin down, but that this information was hidden from us until the measurements were made. Such "local hidden variable theories" argued against the mind-boggling aspect of entanglement, instead proposing that something more mundane, yet unseen, is going on.

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Thanks to theoretical work by John Stewart Bell in the 1960s, and experimental work done by Caltech alumnus John Clauser (BS '64) and others beginning in the 1970s, scientists have ruled out these local hidden-variable theories. A key to the researchers' success involved observing entangled particles from different angles. In the experiment mentioned above, this means that a researcher would measure their first particle as spin up, but then use a different viewing angle (or a different spin axis direction) to measure the second particle.

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Rather than the two particles matching up as before, the second particle would have gone back into a state of superposition and, once observed, could be either spin up or down. The choice of the viewing angle changed the outcome of the experiment, which means that there cannot be any hidden information buried inside a particle that determines its spin before it is observed. The dance of entanglement materializes not from any one particle but from the connections between them.

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In 1969, while still a graduate student at Columbia University, Clauser, along with Michael Horne, Abner Shimony, and Richard Holt, transformed Bell's 1964 mathematical theorem into a very specific experimental prediction via what is now called the Clauser–Horne–Shimony–Holt (CHSH) inequality (Their paper has been cited more than 8,500 times on Google Scholar.) In 1972, when he was a postdoctoral researcher at UC Berkeley and Lawrence Berkeley National Laboratory, Clauser and graduate student Stuart Freedman were the first to prove experimentally that two widely separated particles (about 10 feet apart) can be entangled.

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Clauser went on to perform three more experiments testing the foundations of quantum mechanics and entanglement, with each new experiment confirming and extending his results. The Freedman–Clauser experiment was the first test of the CHSH inequality. It has now been tested experimentally hundreds of times at laboratories around the world to confirm that quantum entanglement is real.

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Apple upgrades TestFlight with redesigned invites, testing criteria, and more

Alongside the Apple Intelligence-powered iOS 18 updates for consumers and developers,

Alongside the Apple Intelligence-powered iOS 18 updates for consumers and developers, Apple is rolling out a sizable refresh to its app testing platform for developers, TestFlight. Developers will have more control over who can join their beta and how an app’s new features are shared with testers. They’ll also be able to view metrics related to the beta’s success, in terms of how many people viewed the invite and opted in, and why others did not.

#apple #testflight #technology #applications

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The changes will make it easier for developers to target their betas and gain more feedback ahead of their app’s public debut on the App Store. Meanwhile, for beta testers, the redesigned invitations will offer more information about the app, helping them make a decision as to whether or not they want to join the test group.

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With the update,invitations now highlight new features or content coming to the app or game, which could encourage testers to try it out. In addition, Apple says the beta builds of apps and games that have been already approved for publication the App Store will be able to include screenshots and the app category along with their invite. This will make the beta testing experience feel more like downloading from the App Store. It could also challenge the alternative testing marketplaces that have popped up in recent years, like Airport, which includes app screenshots, and Departures, which organizes apps into categories.

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The ability to set criteria for TestFlight testing, meanwhile, helps developers narrow their test groups to specific audiences, like those using a particular device type or OS version. Given that TestFlight offers a max of 10,000 invitations, this could help save spots in a more popular beta from going to those who can’t yet use the app on their device or aren’t a part of the intended audience for the test. Developers can set a maximum number of testers in the group, to further control access.

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Is AI the key to converting everyday investors to crypto?

If someone were to Google “how to buy crypto,” they would be met with thousands of resources—from articles to YouTube videos—that break down the ins and outs and introduce potential holders to digital assets. Scrolling through these resources might eventually inspire those with an elementary knowledge of cryptocurrency to take their first steps into it.

#ai #technology #crypto #investors

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However, that straightforwardness screeches to a halt when it comes down to newcomers actually purchasing digital assets, discouraging them from fully engaging with the ecosystem.

For new adopters, practical barriers have hindered their crypto exploration. For instance, the notion of relying on a single password to secure all their assets can be daunting. An analysis by the Wall Street Journal revealed that 20 percent of
Bitcoin has been lost due to forgotten passwords, lost keys, and the complexities of wallet management, highlighting the risks these frameworks create.

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In contrast to the volatility associated with crypto, traditional investment options have been around for centuries, providing a more established framework for individuals to build their financial portfolios. Even professional financial advisors, for example, are accessible resources within finance, playing a crucial role in helping clients create strategies tailored to their financial goals.

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Inside the U.S. Government-Bought Tool That Can Track Phones at Abortion Clinics

Privacy advocates gained access to a powerful tool bought by U.S. law enforcement agencies that can track smartphone locations around the world. Abortion clinics, places of worship, and individual people can all be monitored without a warrant.

#abortion #surveillance #technology #tracking #applicaion #privacy

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On a computer screen a map shows the movements of smartphones around the globe. Zooming into an abortion clinic in the south of the United States, the online tool shows more than 700 red dots over the clinic itself, each representing a phone, and by extension, a person.

The tool, called Locate X and made by a company called Babel Street, then narrows down to the movements of a specific device which had visited the clinic. This phone started at a residence in Alabama in mid-June. It then went by a Lowe’s Home Improvement store, traveled along a highway, went past a gas station, visited a church, crossed over into Florida, and then stopped at the abortion clinic for approximately two hours. They had only been to the clinic once, according to the data.

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The device then headed back, and crossed back over into Alabama. The tool also showed their potential home, based on the high frequency at which the device stopped there. The tool clearly shows this home address on its map interface.

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Report: Google will report revenue of about $86.4 billion for the third quarter

Google parent Alphabet expects $86.4 billion in Q3 earnings, driven by strong AI momentum and growth in cloud services.

Google’s parent company, Alphabet, is set to share its third-quarter earnings next week, and analysts expect some impressive numbers. They predict that the company will report revenues of around $86.4 billion for the third quarter, according to analyst estimates compiled by FactSet. This follows a strong performance in the second quarter, where Google exceeded expectations thanks to its advances in artificial intelligence (AI).

#google #revenues #technology #alphabet #ai

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For the upcoming report, analysts estimate that Google’s revenues from the U.S. will be around $40.6 billion, while the rest of the world is expected to contribute about $45 billion. The earnings per share (EPS) is projected to be $1.84. In the previous quarter, Google brought in nearly $85 billion, surpassing Wall Street’s predictions by about $640 million.

This represented a 14% increase in revenue compared to the same period last year. Notably, Google Cloud crossed the $10 billion mark in quarterly revenue for the first time and also achieved over $1 billion in operating profit.

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Google CEO Sundar Pichai highlighted the company’s success in search and cloud services, emphasizing their ongoing work in AI. He stated, “We are innovating at every layer of the AI stack.” This innovation includes advancements in large language models (LLMs), which are AI systems designed to understand and generate human-like text.

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Recently, Google has been improving its AI models to mimic human reasoning. This means they can tackle complex problems by breaking them down into smaller, more manageable steps, much like how people think. This approach is known as “chain-of-thought prompting.” In July, Google also released a faster and more efficient AI model called 1.5 Flash for the free version of its Gemini chatbot.

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Across-the-board, the upcoming earnings report is highly anticipated, especially with the recent focus on AI advancements and the positive trends in revenue. Investors and analysts will be looking closely at how these developments impact Google’s financial performance.

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Scientists develop wearable robot that walks and fits itself on disabled people

The robot uses a frontal-docking method instead of a rear-sitting method, allowing people to wear the robot immediately without getting out of the wheelchair

Researchers at the Korea Advanced Institute of Science and Technology (KAIST) have introduced a wearable robot for paralyzed individuals.

This innovative robot can walk to the user, allowing them to put it on directly from their wheelchairs without needing assistance from others.

KAIST announced the new version of the wearable robot for paraplegic individuals, the WalkON Suit F1, on October 24.

#technology #robots #disability #healthcare

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This robot is designed to assist individuals with the American Spinal Injury Association (ASIA) Impairment Scale – A (complete paralysis) grade injuries, which represent the most severe level of paraplegia.

Its development purpose differs from other rehabilitation therapy and muscle strength assisting robots currently supplied nationally by Angel Robotics.

KAIST announced the WalkON Suit 1 in 2016 and introduced WalkON Suit 4 in 2020, increasing its walking speed to 3.2 km/h, which matches the normal walking speed of individuals without disabilities.

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This robot is designed to assist individuals with the American Spinal Injury Association (ASIA) Impairment Scale – A (complete paralysis) grade injuries, which represent the most severe level of paraplegia.

Its development purpose differs from other rehabilitation therapy and muscle strength assisting robots currently supplied nationally by Angel Robotics.

KAIST announced the WalkON Suit 1 in 2016 and introduced WalkON Suit 4 in 2020, increasing its walking speed to 3.2 km/h, which matches the normal walking speed of individuals without disabilities.

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Microsoft’s regulatory filing revealed that its CEO, Satya Nadella, received a $79.1 million compensation package for this year, increasing his salary package by 63% compared to 2023. According to Reuters, Nadella hit this milestone with the help of his stock awards when Microsoft’s market cap jumped to over $3 trillion due to its investment in AI technology.

Note that the $71 million figure is just based on Nadella’s stock awards, which were just $39 million last year. Aside from this amount, he also received a $5.2-million cash incentive, an over 50% reduction from the $10.7 million he was entitled to due to massive cybersecurity breaches involving the Redmond company.

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However, even though Microsoft is on a roll with its AI investment, other arms of the company haven’t been performing as well. This is especially true as its gaming studios have suffered massive layoffs. Three months after it finished its acquisition of Activision-Blizzard, Microsoft laid off 1,900 employees from its gaming divisions, including Activision-Blizzard, Xbox, and ZeniMax, which happened during a general downtrend in the gaming industry.

Just a few months later, in May, the company started another run of cuts with the shuttering of three game studios—Tango Gameworks, Alpha Dog Games, and Arkane Austin. More Microsoft employees were again shown the door in September when Xbox reduced its staff by an additional 650. This means that Microsoft’s gaming division has to downsize by at least 2,550 people (probably more) this year.

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Intel CEO is "frustrated" with CHIPS Act payout progress — Intel has received $0 from the $8.5 billion that the US government promised

“My simple message is, ‘Let’s get it finished,’” said Gelsinger in an interview with The New York Times.

Intel CEO Pat Gelsinger has been frustrated with the U.S. government’s slow progress in providing Intel with its promised CHIPS Act funding. The New York Times shared recent interviews with Gelsinger and U.S. Secretary of Commerce Gina Raimondo about the CHIPS and Science Act.

#intel #chips #semiconductors #government #technology

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The Biden-backed CHIPS Act represents $280 billion of funding for semiconductor manufacturing in the United States, giving the Commerce Dept. the ability to provide 10-figure grants and loans to companies like TSMC and Intel to supercharge a young U.S.-based chip industry. The Biden administration has promised Intel $8.5 billion in direct funding to build its new chipmaking fabs (plus $11 billion in loans and a 25% investment tax credit of up to $100 billion). Still, the company has not seen any of these funds so far.

Missing the funds is a problem for Intel, which is in turmoil due to $1.6 billion in losses in Q2 2024. Intel is cutting 15% of its workforce, representing 15,000 or more workers worldwide. Gelsinger has spent the past three months since the disastrous August earnings call restructuring his company and placating stockholders. He has become “frustrated” with the roadblocks the government has put in between Intel and its CHIPS Act funds.

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“My simple message is, ‘Let’s get it finished,’” said Gelsinger in an interview. “There’s been renegotiations on both sides.” The U.S. government put some objectives between CHIPS Act recipients and their money, with milestones including completing building projects, securing customers, etc. “Obviously, with elections, you know, nigh in front of us, hey, we want this done,” said Gelsinger, with the possibility of a new presidential regime lighting a fire of urgency.

This reticence to give out CHIPS Act funding right away apparently stemmed from fears from the government that Intel specifically would not meet its promises. “[There is fear that] Intel is going to take chips money, build an empty shell of a factory and then never actually open it, because they don’t have customers,” said former Commerce Department official Caitlin Legacki.

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OpenAI will reportedly unleash next-gen Orion AI model this December — Orion is expected to be 100X more potent than GPT-4

But not for a wide audience.

OpenAI is set to introduce Orion, its next-generation AI model, this December, reports The Verge, citing its sources with knowledge of the matter. However, initial access will be limited to key partner companies instead of a broad release through ChatGPT.com to the general public. The new model is expected to be a full-blown version rather than an enhanced or specialized version of an existing one.

#orion #openai #ai #chatgpt #technology

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Orion is viewed internally as a successor to GPT-4, though it is unclear whether its official name will be GPT-5 when released. An OpenAI executive has reportedly hinted that Orion could be up to 100 times more powerful than GPT-4, Open AI's flagship model. Unlike the recently released o1 model, designed for enhanced reasoning and aimed at applications like scientific problem-solving, data analysis, and structured knowledge tasks, Orion is geared toward broader AI capabilities for the general public.

For now, OpenAI plans to keep AI models with enhanced reasoning and AI models with broader capabilities separate, though eventually, they will merge as the company is working on artificial general intelligence (AGI). Yet, Orion's training involved synthetic data generated by o1, known internally as Strawberry.

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According to The Verge, engineers at Microsoft Azure, OpenAI's cloud service provider, are getting ready to launch Orion on the Azure platform, potentially starting in November.

Earlier this year, a source informed The Verge that in September, OpenAI researchers organized a happy hour event to celebrate the new model's completion of the training phase. Around the same time, Sam Altman, chief executive of OpenAI, posted an X message about winter constellation in the U.S. Midwest. Curiously, The Verge tried to ask the o1 AI model to decipher what Sam Altman's post means, and it came up with the answer that it hides the word 'Orion.' Yet, when yours truly asked to do the same, it responded that the message hides the phrase 'It Begins.' Nonetheless, all AI models responded that the post could hint at a big announcement.

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The Browser Company is building another browser, and it’s not called Arc.

The Arc browser isn’t dead — it’s just finished.

Stop me if this sounds familiar: The Browser Company is building a browser that it thinks can make your internet life a little more organized, a little more useful, and maybe even a little more delightful. It has new ideas about tabs, and what your browser can do on your behalf.

#browser #browser #technology

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I’ve heard this story before! But the browser that Browser Company CEO Josh Miller wants to talk about when he calls me on Thursday isn’t Arc, the product he and his team have been working on for the last five years. It’s not Arc 2.0, either, even though Miller has been talking publicly about Arc 2.0 for a while now. It’s an entirely new browser. And for Miller and The Browser Company, it’s a chance to get back to building the future of browsers they set out to create in the first place.

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A strange thing has happened over the last couple of years, Miller says. Arc has grown fast — users quadrupled this year alone — but it has also become clear that Arc is never going to be a truly mainstream product. It’s too complicated, too different, too hard to get into. “It’s just too much novelty and change,” Miller says, “to get to the number of people we really want to get to.” User interviews and data have convinced the company that this is a power-user tool, and always will be.

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Siri’s big ChatGPT upgrade reaches the iPhone with iOS 18.2

Just watch out for hallucinations.

Apple Intelligence’s official launch is less than a week away, but it’s the next wave of AI updates that will start to make Siri a lot more useful.

#chatgpt #iphone #appleintelligence #technology #siri

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The forthcoming iOS 18.2 update — now available as a developer beta — starts to make your phone a lot smarter with the addition of Visual Intelligence and the ability to pass Siri requests along to ChatGPT. On phones that support Apple Intelligence, Siri won’t just be a “let me Google that for you” machine; now it’s a “let me ChatGPT that for you” machine, with all that entails: good, bad, and everything in between.

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By default, Siri will ask for confirmation every time it wants to pass on a request to ChatGPT. This makes a lot of sense, and I thought I’d prefer that behavior. But after an afternoon using it, I realized I just wanted to get to the ChatGPT answer faster and turned it off. Siri still handles basic questions on its own and doesn’t pass things like “When is the US election?” to ChatGPT, thankfully. And it will still just Google something for you when that’s the best way to get to your answer.

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But more complex stuff goes to ChatGPT, which means Siri can handle a lot more stuff than I’m used to throwing at it. Ask it “What are some cocktails I can make with whiskey and lemon juice?” and you’ll get a short list of options with descriptions. Old Siri will basically just show you a Google search snippet.

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Tesla Fremont Factory celebrates 1 million Model Y production at GA4

Just days after announcing that it had produced its 7 millionth vehicle, Tesla announced that the Fremont Factory has produced its 1 millionth Model Y from GA4. This is an incredible achievement, considering that the Fremont Factory is a facility that is not built specifically to produce Teslas.

The Fremont Factory is Tesla’s first production facility. As per the Q3 2024 Update Letter, the factory currently has an installed annual vehicle capacity of over 550,000 Model 3 and Model Y and 100,000 Model S and Model X. This is lower than facilities like Giga Shanghai, which can produce over 950,000 Model 3 and Model Y, but it is already very impressive.

#tesla #fremont #modely #ev #technology

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The Fremont Factory, after all, started its life as a traditional automotive plant. Unlike later facilities like Gigafactory Texas, which was built specifically to produce the Model Y and the Cybertruck, the Fremont Factory required a lot of strategy and creativity before it was able to produce the Model 3 and Model Y at scale. These included the use of sprung structures to house an additional general assembly line for the Model 3, a move that caught the attention of Tesla shorts.

This was highlighted by the company in its celebratory post on social media platform X. As noted by Tesla on its official X account, the first Model 3 from the Fremont Factory’s GA4 line was completed on June 8, 2018. Since then, GA4 has grown into an impressive vehicle production line that was able to produce the facility’s 1 millionth Model Y on Friday, October 25, 2024. That’s not so bad at all for a facility that was mocked by critics as a simple “tent.”

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Tesla Semi has “ridiculous” demand, and it’s about to make roads cleaner

During the third quarter earnings call, CEO Elon Musk commented that the demand for the Tesla Semi is “ridiculous.” This was because the Class 8 all-electric truck’s operating costs are so low that it would be silly for businesses not to use it.

“Fundamentally, if you’ve got a (Tesla) Semi, the fully considered cost per mile per ton of transport is better than a diesel truck. Any company that doesn’t adopt an electric Semi will lose. It’s not a subjective thing,” Musk said during the Q3 2024 earnings call.

#tesla #semi #earnings #demand #trucking

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This point was recently highlighted by Tesla Vice President of Vehicle Engineering Lars Moravy in a comment on social media platform X. In response to a post from Tesla’s official account, which noted that more EVs on the road means quieter cities and highways, Moravy noted that the lockdowns a few years ago showed that clean air in cities and highways is achievable.

Moravy also provided an update on the Tesla Semi, stating that the vehicle is coming en masse shortly. “Tesla Semi is coming in mass shortly and we made it so compelling, anyone who does not use it will be left behind! Tesla’s goal – make products people love – or in this case, heavy goods transportation companies,” Moravy wrote in his post.

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Actually they will make the environment dirtier. The heavier EVs cause the tires to break down faster adding microplastics exponentially faster than the lighter combustion engines. MPs are now know to be mostly created by tires.

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Tesla Megafactory in Shanghai on track to start shipments in Q1 2025

Tesla Megafactory Shanghai is on track to start shipments by Q1 2025.

Last month, local media outlet IT Home reported that Tesla’s Megafactory in Shanghai was already 60% complete, passing the halfway point. Tesla China officially started construction on the Shanghai Megafactory on May 23, 2024. Based on recent reports, Tesla China’s Megafactory will be completed less than a year after the start of production—proving the company’s remarkable speed again.

#megafactory #megapack #shanghai #china #tesla

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Tesla’s Megafactory complex spans about 49.4 acres. It is situated in the Lingang area, close to Giga Shanghai. Tesla estimates that the Megafactory in Shanghai will have an annual capacity of 10,000 Megapack batteries, or about 40 GWh of energy storage.

In its recent earnings call, Tesla estimated that its Shanghai Megafactory will begin with a 20 GWh run rate. Tesla’s Energy business will likely see a significant boost once the Megafactory in China starts shipments.

In its Q3 2024 Update Letter, Tesla reported a record gross margin of 30.5% in the third quarter from its Energy division. The company shared that its Megafactory in Lathrop produces 200 Megapacks per week.

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Feds Say You Don’t Have a Right to Check Out Retro Video Games Like Library Books

The U.S. Copyright Office denied an exemption from the DMCA to allow gaming historians to access out-of-print games they can’t legally get anywhere else.

Most of the world’s video games from close to 50 years of history are effectively, legally dead. A Video Games History Foundation study found you can’t buy nearly 90% of games from before 2010. Preservationists have been looking for ways to allow people to legally access gaming history, but the U.S. Copyright Office dealt them a heavy blow Friday. Feds declared that you or any researcher has no right to access old games under the Digital Millennium Copyright Act, or DMCA.

#copyright #videogames #dmca #technology

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Groups like the VGHF and the Software Preservation Network have been putting their weight behind an exemption to the DMCA surrounding video game access. The law says that you can’t remotely access old, defunct games that are still under copyright without a license, even though they’re not available for purchase. Current rules in the DMCA restrict libraries and repositories of old games to one person at a time, in person.

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The foundation’s proposed exemption would have allowed more than one person at a time to access the content stored in museums, archives, and libraries. This would allow players to access a piece of video game history like they would if they checked out an ebook from a library. The VGHF and SPN argued that if the museum has several copies of a game in its possession, then it should be able to allow as many people to access the game as there are copies available.

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Boeing Reports $6 Billion in Quarterly Losses Amid Struggles, Strike

Boeing CEO Kelly Ortberg laid out a turnaround plan Wednesday, calling for a "fundamental culture change" at the struggling planemaker as its quarterly losses surged to $6 billion due to a crippling strike.

Boeing CEO Kelly Ortberg laid out a turnaround plan Wednesday, calling for a "fundamental culture change" at the struggling planemaker as its quarterly losses surged to $6 billion due to a crippling strike.

#boeing #earnings #airplane

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The company has now racked up losses of nearly $8 billion for the current year, as a halt in production of its 737 MAX, 777 and 767 planes following the strike and an ailing defense and space division hammer its business.

Boeing shares slipped 1% in premarket trading.

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In a letter, Ortberg stressed the need for improving performance in its defense business and its 737 MAX and 777 programs while broadly stabilizing Boeing, which is "at a crossroads" after lapses in its performance disappointed customers and eroded trust.

"This is a big ship that will take some time to turn, but when it does, it has the capacity to be great again," Ortberg told the planemaker's employees in a message containing prepared remarks for his first earnings call as CEO.

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Baldur's Gate 3 publishing chief calls out Ubisoft's 'broken strategy': If gamers need to get used to not owning games, 'developers must get used to not having jobs'

Prince of Persia: The Lost Throne was a critical hit but didn't sell very well, and Michael Douse thinks that's entirely Ubisoft's fault.

Larian director of publishing Michael Douse, never one to be shy about speaking his mind, has spoken his mind about Ubisoft's decision to disband the Prince of Persia: The Lost Crown development team, saying it's the result of a "broken strategy" that prioritizes subscriptions over sales.

#baldur #gaming #ubisoft #technology

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Prince of Persia: The Lost Crown is quite good. PC Gamer's Mollie Taylor felt it was dragged down by a very slow start, calling it "a slow burn to a fault" in an overall positive review, and it holds an enviable 86 aggregate score on Metacritic. Despite that, Ubisoft recently confirmed that the development team has been scattered to the four winds to work on "other projects that will benefit from their expertise."

This, Douse feels, is at least partially the outcome of Ubisoft's focus on subscriptions over conventional game sales—the whole "feeling comfortable with not owning your game" thing espoused by Ubisoft director of subscriptions Philippe Tremblay earlier this year—and the decision to stop releasing games on Steam, which is far and away the biggest digital storefront for PC gaming.

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"The last notable game on their platform was arguably Far Cry 6 in 2021," Douse posted on X (via GamesRadar). "The Crew, Mirage and Avatar came in 2023 and didn’t perform, so you can assume subscriptions were at a lull when PoP released by 2024. Which means people wouldn’t be launching their store all too much.

"If it had released on Steam not only would it have been a market success, but there would likely be a sequel because the team are so strong. It’s such a broken strategy. The hardest thing is to make a 85+ game—it is much, much easier to release one. It just shouldn’t be done as it was."

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Intel's former CEO pushed for the chip maker to buy Nvidia for $20 billion in 2005—the GPU company is now worth $3.5 trillion

I don't think this so-called "Nvidia" will turn out to be much, anyway. Best left alone, I reckon.

As some hockey player once said, "you miss 100% of the shots you don't take". Or in Intel's case, you miss out on buying a company that's currently sitting second on the list of most valuable companies in the world, back when it was worth relatively little.

#intel #nvidia #technology #gpu

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That's according to a report from the New York Times, detailing how Paul Otellini, Intel's chief executive from 2005 to 2013, presented the board with an idea to buy a little computer graphics company called Nvidia. This wasn't long after he'd taken the position, and the board apparently put up a significant amount of resistance, as (at a $20 billion value at the time), it would easily have been Intel's most expensive acquisition to date.

As a result, Otellini backed away from defending the purchase. One attendee at the meeting reportedly described it as "a fateful moment", and I should think so, too. Given that Nvidia has since positioned itself at the forefront of the AI boom, and currently has a market cap estimated to be around $3.5 trillion dollars, it does strike as one of those misses you'd kick yourself for.

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Of course, hindsight is a wonderful thing, and other such platitudes. Still, it seems like even back in 2005, some Intel executives could already see some of the future that Nvidia might be involved in. According to its sources, the New York Times reports that some Intel execs believed that the underlying design of its graphics chips might be important for future data centers, which today would count as a massive understatement.

Given some of the reveals here about Intel's corporate culture (and how it might have contributed to the almighty financial and strategic mess it currently finds itself in), it's perhaps no surprise that Intel was slow on the draw with this sort of future planning. Intel executives reportedly described the company as "the largest single-cell organism on the planet", a reference to the insular and single-minded corporate culture at the time.

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OpenAI plans Orion AI model release for December

Altman has teased that Orion is coming.

OpenAI plans to launch Orion, its next frontier model, by December, The Verge has learned.

Unlike the release of OpenAI’s last two models, GPT-4o and o1, Orion won’t initially be released widely through ChatGPT. Instead, OpenAI is planning to grant access first to companies it works closely with in order for them to build their own products and features, according to a source familiar with the plan.

#openai #orion #ai #technology

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Another source tells The Verge that engineers inside Microsoft — OpenAI’s main partner for deploying AI models — are preparing to host Orion on Azure as early as November. While Orion is seen inside OpenAI as the successor to GPT-4, it’s unclear if the company will call it GPT-5 externally. As always, the release plan is subject to change and could slip. Microsoft declined to comment for this story, and OpenAI initially declined.

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Nvidia’s Sana: An AI Model That Instantly Creates 4K Images on Garden-Variety PCs

Nvidia's latest model promises to bring 4K image creation to everyday computers—and you’ll generate those images in a few seconds.

The AI art scene is getting hotter. Sana, a new AI model introduced by Nvidia, runs high-quality 4K image generation on consumer-grade hardware, thanks to a clever mix of techniques that differ a bit from the way traditional image generators work.

#nvidia #sana #ai #technology #model

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Sana's speed comes from what Nvidia calls a “deep compression autoencoder” that squeezes image data down to 1/32nd of its original size—while keeping all the details intact. The model pairs this with the Gemma 2 LLM to understand prompts, creating a system that punches well above its weight class on modest hardware.

If the final product is as good as the public demo, Sana promises to be a brand new image generator built to run on less demanding systems, which will be a huge advantage for Nvidia as it tries to reach even more users.

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“Sana-0.6B is very competitive with modern giant diffusion model (e.g. Flux-12B), being 20 times smaller and 100+ times faster in measured throughput,” the team at Nvidia wrote on Sana’s research paper, “Moreover, Sana-0.6B can be deployed on a 16GB laptop GPU, taking less than 1 second to generate a 1024×1024 resolution image.”

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Yes, you read that right: Sana is a 0.6 Billion parameter model that competes against models 20 times its size, while generating images 4 times larger, in a fraction of the time. If that sounds too good to be true, you can try it yourself on a special interface set up by the MIT.

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Raspberry Pi Bumper for Raspberry Pi 5 review: Silicone protection for your silicon

We did not test if it bounces, nor should you.

Raspberry Pi has been releasing a slew of products in 2024. We’ve had the Raspberry Pi Pico 2, the Raspberry Pi 5 2GB, a new AI Camera, as well as two AI boards (the Raspberry Pi AI Kit and the Raspberry Pi AI HAT+). That's in addition to new Raspberry Pi branded A2 micro SD cards and SSDs. But a $3 Raspberry Pi Bumper for the Raspberry Pi 5 was something of a curveball.

#raspberrypi #technology #compute

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This one-piece flexible silicone rubber bumper is exactly that. Not a case, more of a means to keep your Pi 5 stuck to the desk, and not shorting out on that errant screw you left sitting out.

But does it work? Does it interfere with the Raspberry Pi 5’s cooling? Is it any good? Let's find out in what could possibly be my shortest ever review.

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Mazda’s new EREV promises 800-mile range, charges 30%-80% in 15 minutes

With the EZ-6, Mazda aims to meet the demand for innovative and sustainable vehicles in the Chinese market.

The electric vehicle (EV) market is buzzing with new developments. Almost every day, new technologies are emerging in this field. Now, a leading automaker Mazda is making a bold entry into the EV market with its EZ-6.

This technologically advanced sedan is touted to provide an impressive all-electric range of up to 600 km (373 miles) on the CLTC cycle. Through this, Mazda aims to tackle the range issue, one of the biggest hurdles hampering the widespread adoption of EVs.

#mazda #ev #range #charging #technology

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The EZ-6’s impressive range can be attributed to its 68.8 kWh battery and a powerful 190 kW (254 hp) electric motor. Besides, for those seeking even greater range, Mazda also offers an extended-range electric vehicle (EREV) version.

This innovative system combines a 93-hp gasoline engine with a 160 kW electric motor, achieving a total range of up to 1,301 km (808 miles). Moreover, as per CarNewsChina, the EV will get charged 30% to 80% in just 15 minutes.

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Beyond its impressive range, the EZ-6 is packed with cutting-edge technology and luxurious features. The EZ-6 features a 14.6-inch infotainment screen, a digital instrument cluster, and an expansive 50-inch augmented reality heads-up display (AR-HUD). A Qualcomm Snapdragon 8155 chipset powers the cabin, handling climate control, seat adjustments, and entertainment functions.

Other highlights include 13 ambient scene modes, a 64-color lighting system, a 14-speaker Sony audio system, reclining front seats, a fixed panoramic sunroof, and four-zone voice activation.

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Central Bank of Brazil Highlights Tokenization Potential Before IMF and World Bank

The Central Bank of Brazil propped up tokenization and “open finance” as key elements of the future’s financial system. In a panel presentation before the IMF and the World Bank, the bank’s president stated that the intersection between these had been underestimated.

In a recent panel presentation held in Washington, the Central Bank of Brazil delved into the possibilities of tokenization and its benefits to the financial system when integrated with other elements.

#tokenization #centtralbank #brazil #government

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Central Bank’s President Roberto Campos Neto, who participated in the panel before the International Monetary Fund (IMF) and the World Bank, stressed that the possibilities of the intersection of tokenization and elements like “open finance” had been underestimated, propping up the potential of these solutions.

Open finance involves “sharing data, products, and services between regulated entities” with user permission. These procedures are focused on encouraging innovation and promoting competition to facilitate the implementation of new business models.

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Manchester United asked Man City to give their players a lift to Ballon d’Or ceremony – but latest cost-cutting plan backfires

Manchester United cheekily asked crosstown rivals Man City if they could give their players a lift to the upcoming Ballon d’Or ceremony.

In the latest cost-cutting efforts from Sir Jim Ratcliffe and his INEOS team, United wanted to save the expense of hiring their own private jet for the glitzy do in Paris on Monday night.

#manu #epl #sports #football

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City have eight stars nominated for the prestigious Golden Ball gong, which crowns the best player in European football, and have chartered a plane to fly their team out to France following their Premier League clash against Southampton this weekend.

Man United have two players nominated, and talkSPORT understands a report by the Daily Mail - which claims the Red Devils asked City if they had room on their plane to seat their players - is true.

However, United’s request was met with a ‘no’ from City chiefs and the Old Trafford outfit have since had to arrange their own travel.

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United sources told talkSPORT the club were keen to avoid chartering a private jet for only two players due to the impact on the environment.

They also insisted it’s normal for clubs in the north-west of England to share private jets when necessary, including when players return from international duty.

We were also told all parts of the club are seeking to save costs wherever possible to make the club more efficient and maximise funds for investment in football.

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China’s first outer space travel announced at $210,000 for 12-minute flight

Deep Blue Aerospace’s space tourism tickets, launched Thursday on Taobao, sold out in 20 minutes, with more to be released next month.

A Jiangsu-based tech startup, Deep Blue Aerospace, has revealed plans to send its first passengers on a 12-minute suborbital space journey, providing at least five minutes of weightlessness before returning to Earth.

According to Chinese media, the company launched ticket sales at 6 p.m. on Thursday and sold out within 20 minutes during a live-stream event on e-commerce giant Taobao. The company also plans to release additional tickets next month.

#space #china #deepblueaerospace #spacetourism #technology

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The 2027 trip will take passengers on a suborbital flight, reaching outer space without entering Earth’s orbit, according to a company statement posted on social media Wednesday.

The company, acknowledging the “complexity and risks” of rocket technology, announced plans to carry out dozens of tests over the next two years to guarantee safety and reliability before launching commercial space tourism in 2027.

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During the live stream, Deep Blue Aerospace chairman Huo Liang mentioned that “ticket prices at several hundred thousand yuan may soon become a reality” as orbit-capable, reusable rocket technology continues to advance.

While many view the trip as a luxury experience, some commenters pointed out that it is more affordable compared to international options, with Deep Blue Aerospace’s tickets starting at $210,000.

Furthermore, some Chinese social media users also suggested that Chinese companies may play a role in reducing costs in the space tourism sector, potentially making space travel more accessible to a broader audience.

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Space tourism, once confined to the realm of science fiction, has emerged as a burgeoning industry that promises to revolutionize human space exploration and create new opportunities for commercial space ventures. As private companies push the boundaries of what's possible, space tourism is rapidly transitioning from an exclusive domain of government agencies to a potentially accessible experience for affluent adventurers.

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The Evolution of Space Tourism

The concept of space tourism isn't entirely new. In 2001, American businessman Dennis Tito made history by becoming the first private citizen to fund his own trip to space, paying a reported $20 million to visit the International Space Station (ISS). However, the modern era of space tourism truly began to take shape in the early 2000s with the emergence of private space companies founded by ambitious entrepreneurs.

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Key Players in the Space Tourism Industry

SpaceX

Founded by Elon Musk in 2002, SpaceX has revolutionized space travel through its reusable rocket technology. While primarily focused on satellite launches and NASA contracts, SpaceX has made significant strides in human spaceflight with its Crew Dragon spacecraft. The company's ambitious plans include lunar tourism and eventually, trips to Mars.

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Blue Origin

Jeff Bezos's space venture has developed the New Shepard vehicle for suborbital tourist flights. The company focuses on providing brief experiences of weightlessness and views of Earth from space. Blue Origin's approach emphasizes safety and reusability, with a capsule design that includes an escape system for emergencies.

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Virgin Galactic

Richard Branson's company takes a different approach, using a spaceplane launched from a carrier aircraft. This method provides a more airplane-like experience for customers and allows for a gentler return to Earth. Virgin Galactic has already begun taking reservations for future flights, with tickets initially priced at $250,000.

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The Space Tourism Experience

Suborbital Flights

The most accessible form of space tourism currently available is the suborbital flight. These journeys typically last a few minutes and reach altitudes of around 50-100 kilometers, allowing passengers to experience:

  • Several minutes of weightlessness
  • Views of the Earth's curvature
  • The darkness of space
  • The thin blue line of Earth's atmosphere
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Orbital Tourism

More ambitious and expensive, orbital tourism involves:

  • Longer duration stays in space (several days to weeks)
  • Complete orbits around Earth
  • Potential visits to space stations
  • More extensive training requirements
  • Significantly higher costs (tens of millions of dollars)
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Training and Preparation

Space tourists must undergo significant preparation before their journey. This typically includes:

Physical Requirements

  • Medical screenings
  • Cardiovascular fitness assessments
  • balance and spatial orientation tests
  • stress tests
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Training Components

  • Weightlessness familiarization (zero-G flights)
  • Emergency procedures
  • Space suit operations
  • Basic spacecraft systems understanding
  • Communication protocols

Economic Impact and Market Potential

The space tourism industry is projected to grow significantly in the coming decades. According to various market research reports, the global space tourism market could reach:

  • $1.7 billion by 2027
  • Over $3 billion by 2030
  • Potentially $8 billion by 2040
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  1. Technology Advancement
  • Spacecraft development
  • Safety systems
  • Life support technologies
  • Materials science

Environmental Considerations

The environmental impact of space tourism has become a significant point of discussion:

Concerns

  • Carbon emissions from launches
  • Upper atmosphere pollution
  • Space debris
  • Noise pollution near launch sites

Mitigation Efforts

  • Development of cleaner propulsion systems
  • Reusable spacecraft technology
  • Environmental impact assessments
  • Sustainable launch facility practices
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Regulatory Framework

As the industry grows, regulatory frameworks are evolving to ensure safety and sustainable development:

Current Regulations

  • FAA oversight of launches in the United States
  • International space law compliance
  • Safety standards for human spaceflight
  • Insurance requirements

Emerging Issues

  • Liability considerations
  • Environmental regulations
  • International coordination
  • Space traffic management
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Future Prospects

The future of space tourism holds exciting possibilities:

Near-Term Developments

  • Increased flight frequency
  • Lower costs through competition
  • Improved safety systems
  • Enhanced passenger experiences

Long-Term Possibilities

  • Lunar tourism
  • Space hotels
  • Mars expeditions
  • Private space stations
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Societal Impact

Space tourism has broader implications for society:

Educational Benefits

  • Increased interest in STEM fields
  • Public engagement with space science
  • Educational opportunities
  • Research possibilities

Cultural Impact

  • Changed perspective on Earth (Overview Effect)
  • International cooperation
  • Scientific advancement
  • Innovation spillover to other industries
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Challenges and Obstacles

Despite progress, significant challenges remain:

Technical Challenges

  • Safety concerns
  • Vehicle reliability
  • Life support systems
  • Emergency procedures

Economic Challenges

Human Factors

  • Physical requirements
  • Psychological preparation
  • Health risks
  • Training demands
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Conclusion

Space tourism represents a transformative development in human space exploration. While currently limited to wealthy individuals, the industry shows promise for broader accessibility in the future. As technology advances and costs decrease, space tourism could become an increasingly important part of both the space industry and the global tourism sector.

The success of space tourism will depend on several factors:

  • Continued technological advancement
  • Safety record establishment
  • Regulatory framework development
  • Market demand sustainability
  • Environmental impact management
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As private companies continue to innovate and compete, the dream of space travel is becoming a reality for more people. While challenges remain, the trajectory of the industry suggests that space tourism will play an increasingly important role in humanity's relationship with space exploration.

The transformative power of viewing Earth from space, known as the Overview Effect, could have lasting implications for how we view our planet and our place in the universe. As more people experience this perspective, it could lead to increased environmental awareness and a greater sense of global unity.

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As we look to the future, space tourism stands as a testament to human ingenuity and ambition, promising not just new experiences for wealthy adventurers, but potentially opening up new frontiers for human civilization. The coming decades will be crucial in determining whether this nascent industry can fulfill its promising potential and truly make space accessible to a broader segment of humanity.

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What kind of information would really help the LeoAi you spoke of the last time.

Also if you get the time please analyze my threadcast to see if I'm feeding the information well. Thank you sir.

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Anything fed is in helpful. However, context is something to always think about.

So when we place an article, is there something else we can add under it? I use both search engines to sometimes find other others and chatbots to ask questions and paste the answers in.

A combination of human and synthetic data is helpful. Also, answering the synthetic also adds to it.

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Quantum secret of hydrogen bonds in liquid water revealed for the first time

Decoding the H-bond network in water molecules has never been so easy, thanks to this new spectroscopy method.

The hydrogen bonds that form water molecules are responsible for the many properties that make water a unique liquid. However, even today scientists don’t fully understand the science behind these bonds.

This is because these H-bonds have a very short lifetime as they constantly form and break due to the motion of water molecules.

#quantum #science #hydrogren #water #newsonleo

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For instance, the typical lifetime of a hydrogen bond in liquid water is one millionth of a millionth of a second. This dynamic behavior makes it difficult to capture and study their interactions accurately.

However, researchers at the Swiss Federal Institute of Technology Lausanne (EPFL) claim to have developed a new method that can allow scientists to study the electronic and nuclear quantum effects of liquid water’s hydrogen bonds in depth.

This new method called correlated vibrational spectroscopy (CVS), can finally reveal what factors make the hydrogen-bond networks in water such a strong and mysterious force.

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Not all water molecules are involved in hydrogen-bond network interactions. CVS first identifies and separates the interacting and no-interacting molecules. This is done by shooting ultra-fast laser pulses on water molecules.

These quick bursts of light create tiny movements in the water’s atoms, which then emit visible light. The pattern of this light reveals how the molecules are arranged, and the color of the light shows how the atoms inside and between the molecules are moving.

“Current spectroscopy methods measure the scattering of laser light caused by the vibrations of all molecules in a system, so you have to guess or assume that what you are seeing is due to the molecular interaction you’re interested in,” Sylvie Roke, one of the study authors and a professor at EPFL, said.

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i bought 10 dollars Worth of hive just to do more and help the Leoai. 10 dollars is good money in my country but anyways as longs as it helps the system. But I feel my 10 dollars RC will still not be enough. I would build up over time then I can do way more

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I delegated RCs to your account. That way you should be able to do more. If you run low again, let me know.

Good job on adding some $HIVE to your account.

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AI is helping brands avoid controversial influencer partnerships

Brands often work with influencers to promote products. This can boost brand awareness and improve public perception. However, influencer partnerships can be risky. Influencers may act unpredictably and seek controversy to gain attention, which can hurt the brand's image.

#InfluencerMarketing #AI #BrandSafety

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To manage these risks, brands must research influencers carefully. This process has traditionally taken a lot of time. AI tools, like Lightricks' SafeCollab, now help brands vet influencers more efficiently. SafeCollab automates the research process, making it easier for marketers.

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SafeCollab uses AI to analyze influencers’ social media content. It checks for alignment with brand values and assesses risks. The tool can review years of posts across various platforms quickly, which saves marketers from spending hours searching manually.

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An example of influencer risk is Brooke Schofield, a lifestyle influencer. After collaborating with Boys Lie, old racist posts of hers resurfaced, leading the brand to end their partnership. If Boys Lie had used SafeCollab, they might have found these posts earlier and avoided the backlash.

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Due diligence is critical for brands. Even influencers who seem harmless might have problematic content in their past. The SafeCollab tool helps brands identify such risks and avoid potential scandals before they happen.

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SafeCollab also offers real-time monitoring. It alerts brands about any new problematic content from influencers. This ongoing oversight is essential since influencers regularly post new material that might not align with a brand's values.

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Lightricks is known for its various AI tools, not just SafeCollab. They develop apps for video and image editing that save time for users. Their technology highlights how AI can improve many aspects of marketing and content creation.

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AI is transforming how brands approach influencer partnerships. Tools like SafeCollab help automate the vetting process, ensuring that brands work with influencers who reflect their values. This reduces risks and enhances brand safety in a fast-paced social media environment

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Intern allegedly sabotages ByteDance AI project, leading to dismissal

ByteDance, the company behind TikTok, faced a security breach involving an intern. This intern allegedly sabotaged AI model training, causing concerns about the company’s security protocols. The incident highlights risks in tech companies when interns handle critical responsibilities.

#ByteDance #AI #Cybersecurity #InternshipEthics

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ByteDance clarified that while the intern disrupted AI efforts, no commercial projects were harmed. Rumors about extensive damage, including losses of over 8,000 GPU cards, were dismissed as exaggerated. This shows the importance of clear communication in crisis situations.

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The intern involved was a doctoral student in the commercialization tech team, not in the AI Lab. Frustrated with resource allocation, the intern exploited a vulnerability in Hugging Face, affecting model training but leaving major projects unharmed.

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Despite initial struggles to identify the problem, the ByteDance team minimized damage as the attack only impacted internal models. This incident raises serious concerns about intern management and the potential risks of giving interns significant responsibilities in tech environments.

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This breach poses risks to AI commercialization, leading to potential delays in product launches and loss of client trust. For ByteDance, whose AI capabilities are vital to its operations, such incidents can be especially damaging to its market position.

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The situation emphasizes the need for ethical AI development and responsible business practices. Companies must ensure that security measures are in place and that interns receive proper training. Transparency and accountability are essential to maintain trust in AI technologies.

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The ByteDance incident shows the importance of robust security protocols in tech companies. As AI technology continues to grow, managing interns effectively and ensuring responsible AI practices will be crucial for success and reputation.

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Boeing reportedly considers selling off its space business

Starliner and other projects for NASA could be on Boeing’s chopping block.

Kelly Ortberg, who took over as Boeing CEO in August, is weighing the sale of the company’s space division as part of an attempt to turn things around, according to a report from The Wall Street Journal. The plans, which are reportedly at an early stage, could involve Boeing offloading the Starliner spacecraft and its projects supporting the International Space Station.

#starliner #boeing #space #newsonleo

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Boeing is facing a series of predicaments, including a fraud charge over 737 Max plane crashes and Starliner issues that left two astronauts at the ISS for months. Just this week, a Boeing-made satellite for Intelsat stopped working and fell apart suddenly after suffering an “anomaly.”

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“We’re better off doing less and doing it better than doing more and not doing it well,” Ortberg said during an earnings call this week. “Clearly, our core of commercial airplanes and defense systems are going to stay with the Boeing Company for the long run. But there’s probably some things on the fringe there that we can be more efficient with or that distract us from our main goal here.”

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Conception and Development (2007-2012)

In 2007, NASA announced its plans to develop a new commercial crew vehicle (CCV) to carry astronauts to and from the International space Station (ISS). The agency issued a Request for proposal (RFP) to several companies, including Boeing, SpaceX, and Sierra Nevada corporation.

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Boeing's proposal, known as the CST-100 Starliner, was selected as the winner of the CCV program in 2008. The CST-100 was designed to be a reusable spacecraft that could carry four crew members to the ISS and back.

The development of the CST-100 was a complex and challenging endeavor. Boeing assembled a team of engineers and technicians to work on the project, which included the design and testing of the spacecraft's systems, including its propulsion, life support, and communication systems.

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CST-100 Starliner Design and Testing (2012-2015)

In 2012, Boeing completed the design and testing of the CST-100 Starliner's ground system, including the launch pad and the recovery system. The company also completed the testing of the spacecraft's systems, including its propulsion, life support, and communication systems.

The CST-100 Starliner features a crew compartment, a service module, and a launch abort system. The crew compartment is designed to carry four crew members, while the service module provides power, propulsion, and communication systems for the spacecraft. The launch abort system is designed to quickly evacuate the crew in case of an emergency.

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Uncrewed Test Flights (2019-2020)

On December 21, 2019, Boeing launched an uncrewed test flight of the CST-100 Starliner, known as Orbital Flight Test-1 (OFT-1). The spacecraft reached orbit but experienced a series of technical issues, including a launch abort system malfunction, a computer error, and a failure to achieve the desired orbit.

The OFT-1 mission was intended to test the spacecraft's systems in space, but it was aborted after just 17 minutes due to a computer error. The spacecraft's computer had experienced a glitch, which caused the launch abort system to malfunction.

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Crewed Test Flight (2020)

On August 30, 2020, Boeing launched an uncrewed test flight of the CST-100 Starliner, known as OFT-2. The spacecraft successfully reached orbit and completed the mission.

However, the OFT-2 mission was also plagued by technical issues. The spacecraft experienced a series of computer errors, which caused it to veer off course and fail to achieve the desired orbit.

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First Crewed Flight (2022)

On November 15, 2022, Boeing launched a crewed test flight of the CST-100 Starliner, known as CFT-1 (Crew Flight Test-1). The spacecraft carried a crew of four NASA astronauts to the ISS and successfully completed the mission.

The CFT-1 mission was a major milestone for the Boeing Starliner program. It marked the first time that the spacecraft had carried a crew to the ISS, and it demonstrated the spacecraft's ability to safely transport astronauts to and from the station.

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Certification and Commercial Operations (2023)

In 2023, NASA certified the Boeing Starliner as a safe and reliable CCV. The certification marked a major milestone for the program, as it paves the way for commercial operations.

Boeing is nOW preparing for commercial operations, with the first commercial crewed mission to the ISS expected to launch in 2023. The company has also announced plans to offer the Starliner to private customers, including companies that operate the ISS.

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Challenges and Controversies

The Boeing Starliner program has faced several challenges and controversies, including technical issues, cost overruns, and delays. In 2019, Boeing announced that the Starliner would not be ready for its first crewed flight until 2022, citing the need for additional testing and certification.

The program has also faced criticism for its high cost, with estimates suggesting that the program could cost up to $10 billion. In addition, the program has faced criticism for its reliance on a single supplier, Boeing, and for its lack of transparency and communication with NASA and other stakeholders.

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Technical Issues

The Boeing Starliner program has experienced several technical issues, including:

  • Launch abort system malfunction: The launch abort system malfunctioned during the OFT-1 mission, causing the spacecraft to abort its ascent.
  • Computer error: The spacecraft's computer experienced a glitch during the OFT-1 mission, causing it to veer off course and fail to achieve the desired orbit.
  • Power issue: The spacecraft experienced a power issue during the OFT-2 mission, causing it to lose power and fail to reach orbit.
  • Communication issue: The spacecraft experienced a communication issue during the OFT-2 mission, causing it to lose contact with NASA's Mission Control.
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Cost Overruns

The Boeing Starliner program has faced significant cost overruns, with estimates suggesting that the program could cost up to $10 billion. The cost overruns have been attributed to a number of factors, including:

  • Delays: The program has experienced significant delays, including a 17-month delay between the OFT-1 and OFT-2 missions.
  • Technical issues: The program has experienced several technical issues, including the launch abort system malfunction and the computer error.
  • Changes in scope: The program has undergone changes in scope, including the addition of new features and capabilities.
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Transparency and Communication

The Boeing Starliner program has faced criticism for its lack of transparency and communication with NASA and other stakeholders. The company has been accused of being secretive about the program's progress and of not providing adequate information to stakeholders.

In response to these criticisms, Boeing has announced plans to increase transparency and communication within the program. The company has also announced plans to establish a new office to oversee the program's communication and stakeholder engagement efforts.

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Overall, the Boeing Starliner program has been a complex and challenging endeavor. The program has faced significant technical issues, cost overruns, and controversies, but it has also made significant progress in recent years. The program's success will be crucial to the development of commercial crew vehicles and the future of human spaceflight.

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China accuses US of ‘disinformation’ hacking attempt report

Perpetrators are said to have tapped into Verizon’s network in bid to access devices used by the Republican nominee and his running mate.

China’s embassy in Washington said the US has spread “disinformation” after reports on alleged Chinese attempts to hack the mobile phones of the Republican Party’s presidential candidate and his running mate.

#china #hacking #election #trump #vance

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“In recent years,The US has compiled and spread all kinds of disinformation about the so-called Chinese hacking threats. Such allegations are full of malicious speculations against China, which China firmly opposes,” the embassy spokesperson told the Post in an email.

“The presidential elections are the United States’ domestic affairs. China has no intention and will not interfere in the US election. We hope that the US side will not make accusations against China in the election,” the spokesperson added.

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The US government is investigating suspected efforts by Chinese hackers to tap data from phones used by Republican presidential candidate Donald Trump and his running mate J.D. Vance, as well as the campaign of their challenger, Vice-President Kamala Harris, American media reported on Friday.

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The reports, citing people familiar with the matter, came out around the same time as the FBI and the Cybersecurity and Infrastructure Security Agency (CISA) said they are investigating “unauthorised access to commercial telecommunications infrastructure by actors affiliated with the People’s Republic of China”.

“After the FBI identified specific malicious activity targeting the sector, the FBI and the Cybersecurity and Infrastructure Security Agency (CISA) immediately notified affected companies, rendered technical assistance, and rapidly shared information to assist other potential victims,” the federal agencies said in a joint statement.

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Bay Area tech company announces $28M profit, slashes staff by 21%

Eight vice presidents and a slew of directors are included in the cuts.

Upwork, a Bay Area tech company that helps freelancers find and be paid for jobs, is laying off a whopping 21% of its own workers.

#upwork #technology #newsonleo #jobs

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The company, worth about $1.7 billion, announced the cuts Wednesday in a news release and a Securities and Exchange Commission filing. The exact scope of the layoff is unclear, but based on Upwork’s reported 800 employees at the end of 2023, the 21% cut will likely hit at least 160 workers.

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Upwork also filed a WARN notice with California on Wednesday, as is generally required by the Worker Adjustment and Retraining Notification Act in the event of mass layoffs. The document listed 67 layoffs at the company’s Palo Alto office, including eight vice presidents and a slew of directors and managers, and said the separations are planned for Dec. 23. Upwork lists the Palo Alto office as its headquarters on some documents and says it’s San Francisco-headquartered elsewhere — the company was reported to have moved its base from Santa Clara to San Francisco in 2021.

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The layoffs, Upwork CEO Hayden Brown wrote in a now-published message to staff, are meant to “flatten and streamline” the company’s organization, “realign teams” toward top priorities, and “empower teams to take more risks and simplify processes.” She wrote that the company is making progress on using automation across the business, and she’s hoping for more.

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“For a company with a mission centered around creating economic opportunity, reducing our workforce is a painful step to take, and I know it is hardest for those who will not be a part of our next chapter,” Brown wrote. “For those of you who will be leaving Upwork today, I want to thank you for the energy, commitment and LUV you have shown for our customers, your teams and your work here.”

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Upwork, which bills itself as “the world’s work marketplace,” also on Wednesday released preliminary financial results for the July through September quarter. Per the news release, the company pulled in $194 million in revenue, which well surpasses the company’s pre-quarter guidance, and turned a $28 million profit. The release noted that Upwork expects to save $60 million a year from the announced cost cuts.

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In lieu of providing comment on the layoffs, Upwork spokesperson Elisabeth Hutchinson referred SFGATE to the company’s news release and Brown’s message. The company shed staff in 2023, too, laying off 137 people in a 15% cut to its full-time workforce.

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From Wikipedia:

Upwork Global Inc., formerly Elance-oDesk, is an American freelancing platform headquartered in Santa Clara and San Francisco, California.[2] The company was formed in 2013 as Elance-oDesk after the merger of Elance Inc. and oDesk Corp. The merged company was subsequently rebranded as Upwork in 2015.[3]

In March 2022, Upwork was named on Time's list of TIME100 Most Influential Companies of 2022

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Elance was founded in 1998 by MIT graduate Beerud Sheth and Wall Street veteran Srini Anumolu in a two-bedroom apartment in Jersey City.[citation needed] In December 1999, the company's 22 employees relocated to Sunnyvale, in California's Silicon Valley. Elance's first product was the Elance Small Business Marketplace.[5]

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oDesk was founded in 2003 by two friends, Odysseas Tsatalos and Stratis Karamanlakis, who wanted to work together even though one of them was in the U.S. and the other was in Greece.[6][7] Originally created as a staffing firm, oDesk eventually became an online marketplace that allowed registered users to find, hire, and collaborate with remote workers.[8]

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Elance and oDesk announced their merger on December 18, 2013 to create Elance-oDesk.[9] In 2015, the new company was rebranded as Upwork, which coincided with an upgrade of the oDesk platform under the same name. The newly named Upwork also planned to phase out the Elance platform within a couple of years.[10]

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The company was listed on the Inc. 5000 list from 2009 to 2014 and filed for an initial public offering on October 3, 2018.[11][12]

On March 7, 2022, Upwork started suspending operations for freelancers and clients in Russia and Belarus as a sanction following Russia's invasion of Ukraine in February 2022.[13]

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NVIDIA Computer Finds Largest Known Prime, Blows Past Record by 16 Million Digits

A GIMPS survey has discovered a prime number with over 41 million digits, surpassing the previous record-holder by more than 16 million digits.

#nvidia #primenumber #technology #compute

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Move aside 282,589,933-1, there’s a new prime juggernaut in town. That’s right: A researcher and former NVIDIA employee has found 2136,279,841-1, the largest known prime number, which clears the former record-holder by over 16 million digits.

Prime numbers are positive integers that have no positive integer divisors besides 1 and itself, according to Wolfram MathWorld. Or more simply, they’re numbers that can’t be evenly divided by anything other than 1 and the number itself. Some examples: 2, 3, 5, 7, 11, and towards the other end of the positive integer scale, 2136,279,841-1.

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The newly discovered number is shorthanded as M136279841, making it slightly easier for us to mention in conversation. It’s calculated by multiplying two together 136,279,841 times, then subtracting one. The figure is only the 52nd known Mersenne prime, a special class of prime numbers studied by the monk Marin Mersenne in the early 1600s.

Luke Durant is a researcher and former NVIDIA employee who contributes to the Great Internet Mersenne Prime Search, or GIMPS. In fact, he’s “GIMPS’ most prolific contributor,” according to a press release. GIMPS discovered its first Mersenne prime (the 35th in total) in 1996. The survey has discovered the last 18 Mersenne primes, and volunteers can search for the primes themselves using a free program.

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Annoyed Redditors tanking Google Search results illustrates perils of AI scrapers

“Spreading misinformation suddenly becomes a noble goal,” Redditor says.

A trend on Reddit that sees Londoners giving false restaurant recommendations in order to keep their favorites clear of tourists and social media influencers highlights the inherent flaws of Google Search’s reliance on Reddit and Google's AI Overview.

#ai #technology #reddit #fakenews #scraping #socialmedia

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In May, Google launched AI Overviews in the US, an experimental feature that populates the top of Google Search results with a summarized answer based on an AI model built into Google’s web rankings. When Google first debuted AI Overview, it quickly became apparent that the feature needed work with accuracy and its ability to properly summarize information from online sources. AI Overviews are “built to only show information that is backed up by top web results," Liz Reid, VP and head of Google Search, wrote in a May blog post. But as my colleague Benj Edwards pointed out at the time, that setup could contribute to inaccurate, misleading, or even dangerous results: “The design is based on the false assumption that Google's page-ranking algorithm favors accurate results and not SEO-gamed garbage."

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As Edwards alluded to, many have complained about Google Search results' quality declining in recent years, as SEO spam and, more recently, AI slop float to the top of searches. As a result, people often turn to the Reddit hack to make Google results more helpful. By adding "site:reddit.com” to search results, users can hone their search to more easily find answers from real people. Google seems to understand the value of Reddit and signed an AI training deal with the company that’s reportedly worth $60 million per year.

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But disgruntled foodies in London are reminding us of the inherent dangers of relying on the scraping of user-generated content to provide what’s supposed to be factual, helpful information.

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Influencer Spamming: A New Form of Online Manipulation

Influencer spamming is a tactic used by individuals or groups to manipulate online search results by flooding the Internet with low-quality, biased, or false content. This type of content is often designed to promote a particular product, service, or idea, and can take many forms, including social media posts, comments, reviews, and even entire websites.

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In the case of the Angus Steakhouse controversy, influencers were using social media platforms to spread false information about the restaurant, with the goal of driving up its popularity and increasing its visibility in search results. This type of manipulation can have serious consequences, including undermining the credibility of search results, influencing consumer behavior, and even affecting the way AI models learn and make decisions.

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The Dangers of Depending on User-Generated Content

User-generated content (UGC) is a key component of online platforms, providing a wealth of information and opinions from real people. However, UGC can also be a double-edged sword, as it can be prone to bias, inaccuracies, and manipulation.

When AI models are trained on UGC, they learn to recognize patterns and relationships in this type of content. However, if this content is biased or inaccurate, the AI model may learn to recognize these patterns as "normal" or "valuable," leading to flawed or incorrect conclusions.

For example, if a large number of people on social media post positive reviews of a particular restaurant, an AI model may learn to associate this type of content with high-quality information. However, if these reviews are fake or biased, the AI model may learn to recognize this type of content as "genuine" or " trustworthy," leading to flawed search results.

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The Consequences of Influencer Spamming

The consequences of influencer spamming can be far-reaching, affecting not only search results but also online content, consumer behavior, and even the way AI models learn and make decisions.

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Some potential consequences of influencer spamming include:

  • Undermining the credibility of search results: When influencers flood search results with low-quality content, it can undermine the credibility of search results as a whole. This can lead to a decline in trust in online information and a loss of faith in the ability of search engines to provide accurate results.
  • Influencing consumer behavior: Influencer spamming can also influence consumer behavior, as people may be more likely to tRY a product or service that is promoted by influencers, even if the information is inaccurate or biased.
  • Affecting AI model performance: Influencer spamming can also affect the performance of AI models, as they learn to recognize patterns in this type of content. This can lead to flawed or incorrect conclusions, particularly in areas such as content moderation and search results.
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What Can Be Done to Address Influencer Spamming?

To address the issue of influencer spamming, several steps can be taken, including:

  • Improving content moderation: Social media platforms and online communities can improve content moderation by implementing more effective algorithms and human moderation techniques.
  • Promoting high-quality content: Online platforms can promote high-quality content by highlighting reputable sources and providing more nuanced information about the sources of information.
  • Educating users: Users can be educated about the potential for influencer spamming and the importance of verifying information before making decisions.
  • Improving AI model performance: AI models can be improved by using more effective algorithms and techniques for detecting and mitigating the effects of influencer spamming.
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The Future of Online Content and AI

The issue of influencer spamming highlights the need for greater transparency and accountability in online content and AI models. As AI models become increasingly sophisticated, it's essential that we take steps to ensure that they are trained on high-quality, accurate data, and that they are designed to recognize and mitigate the effects of influencer spamming.

Ultimately, the future of online content and AI will depend on our ability to create systems that are transparent, accountable, and free from manipulation. By promoting high-quality content, improving content moderation, and educating users, we can create a more trustworthy and reliable online ecosystem.

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Key Areas of Focus

  • Generative AI: Google is heavily invested in generative AI, which involves creating new content like text, images, or code. This technology is being used to enhance search results, generate creative content, and improve user experiences across various Google products.
  • Responsible AI: Google prioritizes developing AI responsibly and ethically. They have established guidelines and frameworks to ensure that AI systems are fair, unbiased, and transparent.
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  • AI for Social Good: Google utilizes AI to address global challenges like climate change, healthcare, and education. They collaborate with researchers and organizations to develop innovative solutions using AI.
  • AI in Products: AI is integrated into many of Google's products, including Search, Assistant, Photos, Translate, and more. These integrations improve the functionality and user experience of these products.
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How AI is Used

  • AI Overviews: Google uses AI to generate concise and informative summaries of complex topics, helping users quickly grasp information from multiple sources.
  • Personalized Search: AI helps tailor search results to individual users' preferences and interests, delivering more relevant and helpful information.
  • Image and video Analysis: AI powers features like image search, object recognition, and video analysis, enabling users to find and organize visual content more effectively.
  • Natural language Processing: AI enables Google to understand and process human language, leading to more natural and intuitive interactions with devices and applications.
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AI Overviews: About last week

Here’s what happened with AI Overviews, the feedback we've received, and the steps we’ve taken.

A couple of weeks ago at Google I/O, we announced that we’d be bringing AI Overviews to everyone in the U.S.

User feedback shows that with AI Overviews, people have higher satisfaction with their search results, and they’re asking longer, more complex questions that they know Google can now help with. They use AI Overviews as a jumping off point to visit web content, and we see that the clicks to webpages are higher quality — people are more likely to stay on that page, because we’ve done a better job of finding the right info and helpful webpages for them.

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In the last week, people on social media have shared some odd and erroneous overviews (along with a very large number of faked screenshots). We know that people trust Google Search to provide accurate information, and they’ve never been shy about pointing out oddities or errors when they come across them — in our rankings or in other Search features. We hold ourselves to a high standard, as do our users, so we expect and appreciate the feedback, and take it seriously.

Given the attention AI Overviews received, we wanted to explain what happened and the steps we’ve taken.

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How AI Overviews work
For many years we’ve built features in Search that make it easier for people to find the information they’re looking for as quickly as possible. AI Overviews are designed to take that a step further, helping with more complex questions that might have previously taken multiple searches or follow-ups, while prominently including links to learn more.

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AI Overviews work very differently than chatbots and other LLM products that people may have tried out. They’re not simply generating an output based on training data. While AI Overviews are powered by a customized language model, the model is integrated with our core web ranking systems and designed to carry out traditional “search” tasks, like identifying relevant, high-quality results from our index. That’s why AI Overviews don’t just provide text output, but include relevant links so people can explore further. Because accuracy is paramount in Search, AI Overviews are built to only show information that is backed up by top web results.

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This means that AI Overviews generally don't “hallucinate” or make things up in the ways that other LLM products might. When AI Overviews get it wrong, it’s usually for other reasons: misinterpreting queries, misinterpreting a nuance of language on the web, or not having a lot of great information available. (These are challenges that occur with other Search features too.)

This approach is highly effective. Overall, our tests show that our accuracy rate for AI Overviews is on par with another popular feature in Search — featured snippets — which also uses AI systems to identify and show key info with links to web content.

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About those odd results
In addition to designing AI Overviews to optimize for accuracy, we tested the feature extensively before launch. This included robust red-teaming efforts, evaluations with samples of typical user queries and tests on a proportion of search traffic to see how it performed. But there’s nothing quite like having millions of people using the feature with many novel searches. We’ve also seen nonsensical new searches, seemingly aimed at producing erroneous results.

Separately, there have been a large number of faked screenshots shared widely. Some of these faked results have been obvious and silly. Others have implied that we returned dangerous results for topics like leaving dogs in cars, smoking while pregnant, and depression. Those AI Overviews never appeared. So we’d encourage anyone encountering these screenshots to do a search themselves to check.

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But some odd, inaccurate or unhelpful AI Overviews certainly did show up. And while these were generally for queries that people don’t commonly do, it highlighted some specific areas that we needed to improve.

One area we identified was our ability to interpret nonsensical queries and satirical content. Let’s take a look at an example: “How many rocks should I eat?” Prior to these screenshots going viral, practically no one asked Google that question. You can see that yourself on Google Trends.

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There isn't much web content that seriously contemplates that question, either. This is what is often called a “data void” or “information gap,” where there’s a limited amount of high quality content about a topic. However, in this case, there is satirical content on this topic … that also happened to be republished on a geological software provider’s website. So when someone put that question into Search, an AI Overview appeared that faithfully linked to one of the only websites that tackled the question.

In other examples, we saw AI Overviews that featured sarcastic or troll-y content from discussion forums. Forums are often a great source of authentic, first-hand information, but in some cases can lead to less-than-helpful advice, like using glue to get cheese to stick to pizza.

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In a small number of cases, we have seen AI Overviews misinterpret language on webpages and present inaccurate information. We worked quickly to address these issues, either through improvements to our algorithms or through established processes to remove responses that don't comply with our policies.

Improvements we've made
As is always the case when we make improvements to Search, we don’t simply “fix” queries one by one, but we work on updates that can help broad sets of queries, including new ones that we haven’t seen yet.

From looking at examples from the past couple of weeks, we were able to determine patterns where we didn’t get it right, and we made more than a dozen technical improvements to our systems. Here’s a sample of what we’ve done so far:

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This one is just sad... I can understand why they're doing it, but is it worth it to spread misinformation?

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Yeah. As I was posting that I was thinking that is why we need blockchain.

Verifiable data that is posted. We can track the accounts that are doing things and what is being posted.

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We built better detection mechanisms for nonsensical queries that shouldn’t show an AI Overview, and limited the inclusion of satire and humor content.
We updated our systems to limit the use of user-generated content in responses that could offer misleading advice.
We added triggering restrictions for queries where AI Overviews were not proving to be as helpful.

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For topics like news and health, we already have strong guardrails in place. For example, we aim to not show AI Overviews for hard news topics, where freshness and factuality are important. In the case of health, we launched additional triggering refinements to enhance our quality protections.
In addition to these improvements, we’ve been vigilant in monitoring feedback and external reports, and taking action on the small number of AI Overviews that violate content policies. This means overviews that contain information that’s potentially harmful, obscene, or otherwise violative. We found a content policy violation on less than one in every 7 million unique queries on which AI Overviews appeared.

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At the scale of the web, with billions of queries coming in every day, there are bound to be some oddities and errors. We’ve learned a lot over the past 25 years about how to build and maintain a high-quality search experience, including how to learn from these errors to make Search better for everyone. We’ll keep improving when and how we show AI Overviews and strengthening our protections, including for edge cases, and we’re very grateful for the ongoing feedback.

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Freenet used a web-of-trust system to establish the reputation of postings left by others. Systems like this can reduce review stuffing, but are computationally expensive.

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How we used AI to build our newest Open Buildings dataset

Google’s Open Buildings 2.5D Temporal Dataset is helping to fill a major gap in data for population and density in the developing world.

The team — centered in Ghana but spread across Tel Aviv, Zurich and beyond — has explored ways to make the project even more useful ever since. “We operate in a constant hackathon mode: trying new ideas, looking at challenges and limitations and thinking, ‘OK, how can we solve this?’” says Google Research program manager Abdoulaye Diack. “One thing we hadn’t been able to capture with the original dataset was how an area evolves over time — the data was static. And it was information partners were seeking.”

#data #ai #technology #dataset

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Commercial satellite image providers tend to prioritize capturing imagery based on demand and profit, leaving large swaths of the Global South — about 40% of the globe — without any regular and high-resolution coverage, and some remote villages and informal settlements without any coverage at all. More readily available and frequently updated open-source imagery — like that taken by the European Space Agency’s Sentinel-2 satellite, which has a global revisit time of every five days — was long considered too low-resolution to work for the task of building detection.

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Hopeful that this low resolution might be less of a hurdle than they thought, the team decided to try it.

First, they put a single low-res frame of an area captured by Sentinel-2 into their model and asked it to produce polygons of the buildings on the ground. “That was a very difficult task, but there was potential,” Abdoulaye says. “So we asked the model to produce just the building masks — or raster data made up of binary pixels linked to specific coordinates — from the image. It did a decent job and we thought: This is doable.”

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About a year later, and after much painstaking iteration on the model, the team released the Open Buildings 2.5D Temporal Dataset last month. Covering 2016 to 2023, it offers an annual snapshot of building presence and counts across much of the Global South, as well as building heights, showing how development, catastrophe and other factors impact cities. Users simply select a region, toggle between years, and watch the world expand and contract in patterns of colorful shapes.

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“About 2.5 billion more people could move to cities by 2050, most of them in the Global South — this could be a real step change for governments and organizations working through that growth,” says Google Research product manager Olivia Graham. “If a city is planning where to put essential services like healthcare and education, or where to develop infrastructure like water and energy supplies, this dataset shows the areas that are actively growing.”

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Are Boeing’s problems beyond fixable?

A new CEO promises a culture change as the aerospace titan is struggling hard.

As Boeing’s latest chief executive, Kelly Ortberg’s job was never going to be easy. On Wednesday, it got harder still.

That morning, Ortberg had faced investors for the first time, telling them that ending a debilitating strike by Boeing’s largest union was the first step to stabilizing the plane maker’s business.

#boeing #company #aircraft #space

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But as the day wore on, it became clear that nearly two-thirds of the union members who voted on the company’s latest contract offer had rejected it. The six-week strike goes on, costing Boeing an estimated $50 million a day, pushing back the day it can resume production of most aircraft and further stressing its supply chain.

The company that virtually created modern commercial aviation has spent the better part of five years in chaos, stemming from fatal crashes, a worldwide grounding, a guilty plea to a criminal charge, a pandemic that halted global air travel, a piece breaking off a plane in mid-flight and now a strike. Boeing’s finances look increasingly fragile and its reputation has been battered.

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Bank of America analyst Ron Epstein says Boeing is a titan in a crisis largely of its own making, comparing it to the Hydra of Greek mythology: “For every problem that’s come to a head, then [been] severed, more problems sprout up.”

Resolving Boeing’s crisis is critical to the future of commercial air travel, as most commercial passenger aircraft are made by it or its European rival Airbus, which has little capacity for new customers until the 2030s.

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Technological Advances Make Things Better... Or Do They?

On a long enough timeline, the survival rate for everyone drops to zero

It certainly seems that technological advances make our lives better. Instead of writing a letter, stamping it, and mailing it (which was vastly more personal), we now send emails. Rather than driving to a local retailer or manufacturer, we order it online. Of course, we mustn’t dismiss the rise of social media, which connects us to everyone and everything more than ever.

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Economists and experts have long argued that technological advances drive U.S. economic growth and productivity. As innovations emerge, they play a crucial role in shaping the economy, improving efficiency, and enhancing productivity across various sectors. From artificial intelligence to automation, the benefits of technological progress are widespread and profound.

For example, automation and artificial intelligence have streamlined manufacturing processes, reducing the need for manual labor and minimizing human error. This efficiency boost leads to faster production times and reduced costs, lowering prices while improving profit margins. Higher productivity levels contribute to overall economic growth, as businesses can produce more goods and services with the same resources.

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Another significant benefit is the creation of new industries and job opportunities. As technology evolves, it creates demand for new skills and expertise, leading to the development of entirely new sectors. For example, the rise of the technology industry gave birth to jobs in software, data analysis, and cybersecurity, among others. These high-paying jobs contribute to economic growth by increasing consumer spending and driving innovation.

Ray Kurzweil’s 1999 book, “The Age of Spiritual Machines,” introduced the concept of “The Law of Accelerating Returns.“ Ray predicted that the rate of technological advances is exponential rather than linear. That means that technology builds on itself in a positive feedback loop, allowing each generation to advance at an increasing rate.

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Kurzweil’s predictions related to this theory have proven remarkably accurate. He predicted technologies such as the internet and the growth in mobile computing power years before they emerged. Out of 147 predictions he made in the 1990s about the future up to 2009, 115 (78%) were correct.

However, were economists’ predictions about the benefit of technology as accurate as Kurzweil’s?

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The Dark Side Of Technological Advancement
While technological advances seem to produce an enormous benefit, a dark side gets hidden from public discourse.

One primary concern is job displacement. Automation and artificial intelligence, while improving efficiency, often replace jobs traditionally performed by humans. This displacement mainly affects low-skilled workers in industries like manufacturing and retail, leading to unemployment and underemployment. As machines take over routine tasks, the workforce faces the challenge of reskilling to meet the demands of a more technologically advanced economy. That transition period can lead to economic slowdowns and increased inequality, as not all workers have the means or opportunity to adapt quickly.

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The chart below shows the trend of employment versus actual employment. Since 1947, employment has grown with the economy, as expected. However, employment changed in the late 90s as employment fell below the previous growth trend, coinciding with the Internet adoption. The need for employees eroded as the internet fostered technological advances in everything from manufacturing automation to online sales, social media, advertising, and business management. Today, the deviation in employment from the long-term growth trend is the largest in history outside of the pandemic-driven economic shutdown.

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Another issue is the increasing concentration of wealth and market power in the hands of a few technology giants. Companies like Amazon, Google, and Apple dominate their respective markets, creating barriers to entry for smaller firms. As shown, as technological advances increased, there has been a clear shift in corporate earnings and concentration. Again, starting in the late 90s, increased technological advances reduced the number of employees required to produce goods and services. At the same time, the market became increasingly concentrated in a smaller group of companies.

Monopolistic behavior stifles competition, reduces innovation, and limits consumer choice. Furthermore, corporate profitability soared by reducing labor, which is the most costly expense for any business.

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The vast wealth accumulation by these companies contributes to economic inequality. That inequality can hamper overall economic growth by reducing the average consumer’s purchasing power. Since 1990, wealth inequality has soared, with those in the top 10% owning a vast majority of economic wealth. The bottom 50%, which comprises a significant portion of employee labor in the manufacturing and services industries, have barely benefitted.

Lastly, the rapid pace of technological change can lead to productivity paradoxes, where the expected gains in productivity from new technologies do not materialize as anticipated. That happens due to the significant time and investment required to integrate new technologies effectively into existing business processes. Additionally, cybersecurity threats, data privacy concerns, and technology-driven stress can undermine productivity and lead to economic inefficiencies.

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But there is even a darker side that no one is talking about.

While social media and the internet have revolutionized the way we connect and communicate, they have also contributed to several severe societal issues, including increased loneliness, social and political division, and a troubling rise in teenage suicides. Understanding these negative impacts is crucial for addressing the challenges of the digital age.

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One significant consequence of social media is the rise in loneliness. Despite the promise of connecting people, social media often leads to superficial interactions, which lack the depth and intimacy of face-to-face communication. As users compare their lives to the seemingly perfect lives of others online, feelings of inadequacy and isolation can increase. That can be particularly damaging for teenagers, as they are at a critical stage of developing their self-identity and sense of belonging. The constant need for validation through likes and comments can lead to feelings of loneliness and anxiety.

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Social media also contributes to social and political division. The algorithms that power these platforms often promote content aligning with users’ beliefs, creating echo chambers reinforcing biases. This polarization can deepen societal divisions, making constructive dialogue and mutual understanding more difficult. The spread of misinformation and fake news further exacerbates these divisions, exposing people to misleading content that can shape their perceptions and opinions. With a growing inability to logically and rationally discuss our differences, passing laws and policies that benefit everyone has become impossible.

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Lastly, and most unfortunately, the impact of social media on teenage mental health is alarming. Studies have shown a link between heavy social media use and increased rates of depression, anxiety, and suicidal thoughts among teenagers. The pressure to fit in, the prevalence of cyberbullying, and the exposure to unrealistic standards of beauty and success can create a toxic environment that negatively affects teens’ mental well-being. Tragically, this can lead to an increase in teenage suicides (as shown by the CDC) as vulnerable individuals struggle to cope with the pressures of the digital world.

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In conclusion, while technology is a powerful driver of economic growth, it also presents challenges that can negatively impact productivity, equality, mental health, and societal cohesion. Addressing these issues ensures that technological advancements promote sustainable and inclusive economic growth.

After all, that was the promise of technology, to begin with.

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Amazon Scrapping 'Just Walk Out' Technology At Fresh Stores

The decision will only impact Amazon Fresh locations...

Amazon is ditching its “Just Walk Out” technology that allows customers to shop and leave stores without having to visit a typical physical checkout, company officials have confirmed.

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An Amazon Fresh grocery store in Irvine, Calif., on Feb. 26, 2021. (John Fredricks/The Epoch Times)
Instead, the Seattle-based company will replace the technology with smart carts, also known as “dash carts,” through which customers can skip the checkout line.

That technology, effectively a scanner integrated into a shopping cart, also provides additional benefits, such as allowing consumers to scan their items as they shop and see their spending in real time via an onscreen receipt.

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An Amazon spokesperson confirmed the change in a statement to USA TODAY, noting the decision will only impact Amazon Fresh locations—the company’s online and physical grocery stores—and not Amazon Go convenience stores.

The company said it is also keeping Just Walk Out technology in place at a small number of Fresh stores in the United Kingdom.

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In addition, the decision will not impact the more than 130 third-party retailers that Amazon partners with across the United States, the United Kingdom, Australia, and Canada for its Just Walk Out technology across locations including cafes, airports, stadiums, entertainment venues, conference centers, schools, and more, the spokesperson said.

The decision was made following customer feedback, the company official noted.

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How ‘Just Walk Out’ Technology Works
“We’ve invested a lot of time redesigning a number of our Amazon Fresh stores over the last year, offering a better overall shopping experience with more value, convenience, and selection, and so far we’ve seen positive results, with higher customer shopping satisfaction scores and increased purchasing,” Jessica Martin, Amazon spokesperson, told the publication.

“We’ve also heard from customers that while they enjoyed the benefit of skipping the checkout line with Just Walk Out, they also wanted the ability to easily find nearby products and deals, view their receipt as they shop, and know how much money they saved while shopping throughout the store,” she said.

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According to its official website, Amazon’s “Just Walk Out” technology— first rolled out in 2016—allows consumers to “enter a store, grab what they want, and get going” by scanning their card or hovering their palm over an Amazon One device when they enter the store.

They are then able to leave without having to visit a formal checkout, thanks to cameras, sensors, and deep-learning artificial intelligence (AI) that track consumers visiting the stores.

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The technology is used not only in Amazon’s own physical stores but also in third-party retail, travel, and stadium environments, the website states.

However, the technology hasn’t always proven to be reliable, with some customers complaining that it often took hours to receive their receipts after leaving the stores, according to reports.

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Customers shop at the United Kingdom's first Amazon Fresh supermarket in London, on March 4, 2021. (Henry Nicholls/Reuters)
Technology Behind Amazon Dash
Lawsuits were also filed over the technology that accused Amazon of failing to notify all customers who entered its Amazon Go stores that cameras were collecting and storing their biometric data.

Amazon currently operates more than 40 Fresh grocery stores across the United States, the majority of which are in California, Illinois, Virginia, and Washington state.

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Approximately 27 of those stores have Just Walk Out technology and will transition to Amazon Dash Cart, according to the company. The remaining stores already use Amazon Dash Cart, the retailer said.

According to its official website, Amazon Dash Cart— first unveiled in 2020—is a smart cart that can be accessed by customers using a QR code on their Amazon app.

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The technology uses a combination of computer vision algorithms and sensor fusion technology to scan items placed in and removed from the carts and shows real-time receipts of all items in the cart via an attached screen. After purchasing their items, customers can simply exit the store through the Amazon Dash Cart lane and their payment is processed using the credit card associated with their Amazon account.

Consumers will still be able to pay at a traditional checkout with a cashier or use the self-checkout machines, Amazon noted.

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EU And China Continue Talks On EV Tariffs Alternative

On a long enough timeline, the survival rate for everyone drops to zero

The European Union and China agreed on Friday to continue discussions on a possible alternative to the EU import tariffs on China-made electric vehicles, a week before the levies are set to come into force, the European Commission said.

#ev #tariffs #technology #europe #newsonleo

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The European Commission’s Executive Vice-President and Commissioner for Trade, Valdis Dombrovskis, initiated a video call today with Chinese Minister of Commerce, Wang Wentao, to discuss the EU investigation on imports of battery electric vehicles (BEVs) from China and ongoing negotiations about price undertakings.

Early this month, the European Commission received enough support from the EU member states to impose hefty tariffs of up to 45% on imports of electric vehicles from China due to unfair subsidizing.

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The EU and China have been negotiating a potential alternative solution to the tariffs, but if they do not reach an agreement, the import duties will come into force at the end of this month.

Talks with China on an alternative to the EU tariffs will continue even after the high import duties are imposed next week, the Commission has said.

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After the EU-China call on Friday, the Commission said “The principals took stock of the progress made during eight technical negotiating rounds, as well as significant remaining gaps.”

Both parties “reaffirmed their political commitment to finding a mutually agreeable solution, which would need to be effective in addressing the level playing field in the EU market and WTO-compatible,” the Commission said, adding that “The principals agreed that further technical negotiations would take place shortly.”

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The provisional EU tariffs, in force since July, have led to a reaction in China, which is proceeding with anti-dumping investigations of EU imports, targeting brandy and pork imports from the bloc, likely aimed at Spain, France, the Netherlands, and Denmark.

Several EU member states, including Germany, and Germany’s giant automakers have expressed concern that the tariffs could lead to a wider trade spat and retaliatory tariffs from China.

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Chinese EV Battery Maker SVOLT Shuttering Operations In Europe Due To Trade War, Poor Demand

Chinese EV battery maker SVOLT is shuttering operations in Europe on the heels of a yearslong regulatory conflict between European lawmakers and EV manufacturing based in China.

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As we have reported over the last year, EU authorities have been doing everything in their power to stifle EV production based in China, fearing that the lower cost models coming from the east are warping the European market and putting domestic producers at a disadvantage.

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Now, the consequences are starting to rear their heads. Chinese EV battery maker SVOLT energy plans to shut its European operations by January 2025, in a move that clearly points to China’s retreat from the market - and declining EV sales in Europe, according to Nikkei.

SVOLT, linked to Great Wall Motor, will close its German subsidiaries and lay off staff, according to a source.

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Poor EV sales and financial pressures have driven Chinese battery maker SVOLT to shut aLL of its European operations, including its Frankfurt office, according to the same report.

The Nikkei report says that all SVOLT Europe employees will be laid off, though some were recently offered positions at the company’s China headquarters. The exact number of affected staff remains unknown, and SVOLT has not commented on the matter.

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In 2020, SVOLT announced plans to invest €2 billion in two battery plants in Germany’s Saarland, creating up to 2,000 jobs. However, it halted plans for a plant in Lauchhammer due to losing a key customer and concerns over tariffs and subsidies.

A lawsuit and local protests have also delayed a planned factory in Ueberherrn until 2027. SVOLT's Heusweiler plant, intended to produce battery packs, was set to open in July, but reports suggest the company has NOW ceased all production in Germany.

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Meanwhile, just like in the U.S., the EV market in Europe is cooling. New car sales in the EU dropped 18% in August, with Germany down 28%, according to the European automobile Manufacturers' Association. EV market share fell 44%, with Chinese brand BYD selling only 218 cars in Germany, or 0.1% of the country's EV sales.

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SVOLT, spun off from Great Wall Motor in 2018, counts Geely Auto, XPeng, and Great Wall among its clients but has struggled financially, reporting a cumulative loss of 4.4 billion yuan ($618 million) from 2019 to 2022.

The company aimed to raise $2.1 billion through a Shanghai IPO in 2022 but abandoned the plan a y

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AI sector study: Record growth masks serious challenges

AI in the UK is booming, boasting over 3,170 companies contributing £10.6 billion in revenue and employing 50,000+ people. But growth alone isn’t everything, there are cracks in the foundation.

#UKAI #ArtificialIntelligence

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Regional AI Hubs:

While London, the South East, and Scotland host the biggest AI players, smaller hubs show a broader potential for AI adoption across various UK regions. This geographic spread could reduce dependency on a single tech corridor, like the U.S. has with Silicon Valley.

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Massive Investment Growth:

Since 2016, private investors poured £18.8 billion into the sector. Investment is key for innovation, but dependency on massive capital can make smaller players vulnerable to market volatility.

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The Government's Role:

The UK government committed £1.3 billion to AI growth, showing strong support. The goal: create a National AI Strategy to foster tech autonomy and global competitiveness.

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Big Cloud Providers’ Influence:

Companies like AWS offer £500k in cloud credits, locking startups into their ecosystems. This "vendor lock-in" means firms become dependent on one provider, limiting competition and innovation.

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Infrastructure Lags Behind:

Data center facilities and high-powered GPUs are lacking in the UK, especially compared to tech giants like the U.S. This gap could limit AI’s scalability domestically, making the UK reliant on external resources.

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Skills Shortage Concerns:

Two-fifths of UK businesses report difficulty finding skilled workers. Emerging roles like prompt engineers aren’t mainstream yet, indicating a need for widespread upskilling and retraining.

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Small Businesses Falling Behind:

Around 31% of UK SMEs haven’t adopted cloud computing, and 47% don’t use any AI tools. For AI to truly impact the economy, smaller businesses need more accessible tech and training.

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Safety and Ethics at the Core:

The recent AI Safety Summit stressed the need for ethical and transparent AI. With tech evolving fast, ethical guidelines help maintain public trust—especially with privacy concerns on the rise.

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Data Sovereignty a Priority:

With the expansion of AI use, the UK must prioritize where and how data is stored. Ensuring privacy and local control over data could differentiate UK AI from other global markets.

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Cybersecurity is Key:

As AI handles sensitive data, robust cybersecurity measures are vital. The UK is at risk of cyber attacks, so securing AI infrastructure must remain a top priority

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AI in Public Services:

AI applications in government sectors, like predictive pension algorithms and call center AI, show how AI can increase efficiency. But adoption in these areas is still limited due to tech complexity and privacy issues.

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Balancing Innovation and Regulation:

The upcoming AI Action Plan aims to balance innovation with necessary regulation. Without safeguards, rapid growth could introduce ethical, privacy, and safety risks.

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Bottlenecks to Watch:

From infrastructure to skills gaps, bottlenecks are slowing the potential of UK’s AI growth. Prioritizing solutions in these areas will be crucial for the sector to thrive long-term.

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The £550 Billion Economic Boost:

AI has the potential to add £550 billion to UK GDP by 2035, but delaying action on these challenges could mean losing up to £150 billion. Timely investment is key.

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Vendor Lock-in Could Stunt Growth:

If dependency on big providers like AWS continues, we could see less diversity and innovation among AI firms. This also risks creating monopolistic tendencies in UK tech.

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Data Center Demand:

The government’s £1.5 billion investment in computing power, including plans for three supercomputers by 2025, may address some infrastructure issues, but execution will be critical.

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The Role of SMEs in AI Growth:

For AI to truly reach its potential, SMEs need better access to funding, technology, and training. Programs specifically targeting SMEs could unlock a lot of latent innovation.

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Skills Development Investments:

With a £2.5 billion investment from Microsoft in AI skills, the industry is gearing up to meet the demand for new roles. However, there is a pressing need for partnerships between industry and education sectors.

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AI in Public Trust:

AI tools must be transparent, fair, and ethical to gain public trust. The "Bletchley Declaration on AI Safety" highlights the need for AI systems that the public can rely on.

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Sector-Wide Commitment Needed:

If the UK wants to be a global AI leader, both the private and public sectors must collaborate closely, addressing challenges from policy to technical expertise.

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Growth with a Purpose:

To ensure long-term growth, the UK must set standards for responsible AI use, encouraging innovation without compromising ethics or privacy.

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Astronaut hospitalized after returning from 235-day space mission

NASA says the astronaut is in “stable condition under observation as a precautionary measure.”

NASA said Friday one its astronauts is in a hospital in Florida for medical observation after a "normal" predawn splashdown in the Gulf of Mexico inside a SpaceX capsule.

#astronaut #technology #florida #space

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The mission's other three crew members were cleared to return to their home base at Johnson Space Center in Houston after their own medical evaluations, NASA said.

The hospitalized astronaut "is in stable condition and under observation as a precautionary measure," a NASA spokesperson said in a statement. The agency did not identify the astronaut or provide any more details about their condition, citing medical privacy protections.

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Strapped into their seats onside SpaceX's Crew Dragon Endeavour spacecraft, the four-person crew splashed down just south of Pensacola, Florida, at 3:29 am EDT (07:29 UTC) Friday, wrapping up a 235-day mission in low-Earth orbit.

NASA extended their stay at the International Space Station earlier this year to accommodate schedule changes caused by the troubled test flight of Boeing's Starliner spacecraft, then to wait for better weather conditions in SpaceX's recovery zones near Florida.

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40 years later, The Terminator still shapes our view of AI

The film has an outsize influence on the existential danger of AI.

Countries, including the US, specify the need for human operators to “exercise appropriate levels of human judgment over the use of force” when operating autonomous weapon systems. In some instances, operators can visually verify targets before authorizing strikes and can “wave off” attacks if situations change.

#theterminator #ai #technology #hollywood #movies

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The Rise of Autonomous Weapon Systems

Autonomous weapon systems are designed to operate without human intervention, using AI and machine learning algorithms to make decisions about targeting and engagement. These systems can be used for a variety of tasks, including reconnaissance, surveillance, and combat.

There are several types of AWS, including:

  1. Unmanned Aerial Vehicles (UAVs): Also known as drones, these are aerial platforms that can be equipped with sensors, cameras, and weapons.
  2. Unmanned Ground Vehicles (UGVs): These are ground-based platforms that can be used for reconnaissance, surveillance, and combat.
  3. Unmanned Underwater Vehicles (UUVs): These are submersible platforms that can be used for reconnaissance, surveillance, and combat in aquatic environments.
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The Need for Human Judgment

While AWS can provide significant benefits in terms of accuracy and efficiency, they also raise concerns about the use of force and the potential for unintended consequences.

There are several reasons why human judgment is essential in the use of AWS:

  1. Verification of Targets: AWS may not always be able to accurately verify the identity of a target, particularly in complex or dynamic environments. Human judgment is necessary to ensure that the target is indeed the intended target.
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  1. Contextual Understanding: AWS may not have the same level of contextual understanding as humans, which can lead to misinterpretation of situations. Human judgment is necessary to take into account the broader context of the situation and make more informed decisions.
  2. Ethical Considerations: The use of AWS raises ethical concerns about the potential for harm to civilians and non-combatants. Human judgment is necessary to ensure that the use of AWS is consistent with international humanitarian law and human rights principles.
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The Challenges of Human-AWS Collaboration

As AWS become more advanced, there is a growing need for human-AWS collaboration, where humans and machines work together to make decisions about targeting and engagement. However, this collaboration raises several challenges, including:

  1. Trusting Machines: Humans may struggle to trust the decisions made by AWS, particularly if they are not transparent about their decision-making processes.
  2. Communication Breakdowns: There is a risk of communication breakdowns between humans and machines, particularly in complex or dynamic environments.
  3. Over-reliance on Technology: Humans may become too reliant on AWS, leading to a lack of critical thinking and decision-making skills.
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The Ukraine War and the Need for Human Control

The Ukraine war has highlighted the need for human control over machine systems, particularly in the context of AWS. The use of "loitering munitions" and other autonomous systems has raised concerns about the quality of control exerted by human operators.

The use of AWS in the Ukraine war has demonstrated the potential benefits of these systems, but also the need for human judgment and control. The conflict has highlighted the importance of ensuring that human operators are able to make decisions about targeting and engagement, and that AWS are used in a way that respects human life and dignity.

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The International Community's Response

The international community is beginning to respond to the challenges posed by AWS, with several countries and organizations developing guidelines and regulations for the development and deployment of these systems.

The Humanitarian Law Review has published a series of articles and reports on the use of AWS in conflict zones, highlighting the need for human judgment and control in the use of force.

The United Nations has also begun to address the issue of AWS, with several conferences and meetings held to discuss the development and deployment of these systems.

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The Future of Autonomous Weapon Systems

The future of AWS is uncertain, but it is clear that human judgment and control will be essential in their use. As AWS become more advanced, there is a growing need for human-AWS collaboration, where humans and machines work together to make decisions about targeting and engagement.

The development and deployment of AWS will require significant investment in research and development, as well as the establishment of clear guidelines and regulations for their use. Ultimately, the future of AWS will depend on our ability to balance the benefits of these systems with the need for human judgment and control in the use of force.

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Key Considerations

  1. Human judgment and control: Human operators must be able to make decisions about targeting and engagement, and ensure that AWS are used in a way that respects human life and dignity.
  2. Transparency and explainability: AWS must be transparent about their decision-making processes, and provide explanations for their actions.
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  1. Human-AWS collaboration: Humans and machines must work together to make decisions about targeting and engagement, and ensure that these systems are used in a way that is consistent with international humanitarian law and human rights principles.
  2. Investment in research and development: Significant investment is required in research and development to advance the capabilities of AWS, while also ensuring that they are used in a way that respects human life and dignity.
  3. Establishment of guidelines and regulations: Clear guidelines and regulations must be established for the development and deployment of AWS, to ensure that these systems are used in a way that is consistent with international humanitarian law and human rights principles.
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Early Years (1870s-1910s)

Hollywood's history began in the 1870s, when the area was a small farming community in Southern California. In 1887, Harvey Henderson Wilcox, a wealthy businessman, bought a 160-acre ranch in the area, which he named "Hollywood." The name "Hollywood" was derived from a combination of the names of two neighbors, Harvey and Chalmers.

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In the early 1900s, the area began to attract filmmakers, who were drawn by the region's mild climate, scenic landscapes, and accessibility to major cities. In 1911, the Nestor film company, a division of Universal Studios, built the first film studio in Hollywood. The studio was established by David Horsley, who had been a pioneer in the development of film technology.

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The Rise of Hollywood (1920s-1940s)

During the 1920s, Hollywood experienced a rapid growth in popularity, thanks in part to the introduction of sound in films. The first "talkie" film, "The Jazz singer," was released in 1927, and it marked the beginning of the end of the silent film era.

The 1930s saw the rise of the major film studios, including MGM, Paramount, and Warner Bros. These studios produced some of the most iconic films of the era, including "Gone with the Wind" and "Casablanca."

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Key Figures

  • Harvey Henderson Wilcox: The founder of Hollywood, who bought a 160-acre ranch in the area in 1887.
  • David Horsley: A pioneer in the development of film technology, who established the first film studio in Hollywood in 1911.
  • D.W. Griffith: A pioneering filmmaker who helped establish Hollywood as a major center for the film industry. Griffith was known for his innovative use of camera techniques and his ability to tell complex stories on screen.
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  • Cecil B. DeMille: A director who helped establish the "star system" in Hollywood, and who produced some of the most iconic films of the era. DeMille was known for his epic historical dramas and his ability to create large-scale productions.
  • Stanley Kubrick: A director who helped establish Hollywood as a major center for artistic film, and who produced some of the most iconic films of the era. Kubrick was known for his innovative use of camera techniques and his ability to tell complex stories on screen.
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Key Films

  • "The Birth of a Nation" (1915): A pioneering film that helped establish Hollywood as a major center for the film industry. The film was directed by D.W. Griffith and told the story of the American Civil War and the rise of the Ku Klux Klan.
  • "The Jazz Singer" (1927): The first "talkie" film, which marked the beginning of the end of the silent film era. The film was directed by Alan Crosland and starred Al Jolson as a young man who dreams of becoming a jazz singer.
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  • "Gone with the Wind" (1939): A epic historical romance that became one of the most iconic films of aLL time. The film was directed by Victor Fleming and starred Vivien Leigh and Clark Gable.
  • "Casablanca" (1942): A classic romantic drama that became one of the most iconic films of all time. The film was directed by Michael Curtiz and starred Humphrey Bogart and Ingrid Bergman.
  • "Singin' in the Rain" (1952): A classic musical comedy that helped establish the "star system" in Hollywood. The film was directed by Stanley Donen and Gene Kelly and starred Gene Kelly, Debbie Reynolds, and Donald O'Connor.
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  • "Jaws" (1975): A classic thriller that helped establish Steven Spielberg as a master of the genre. The film was directed by Steven Spielberg and starred Roy Scheider, Robert Shaw, and Richard Dreyfuss.
  • "Star Wars" (1977): A classic science fiction film that helped establish George Lucas as a master of the genre. The film was directed by George Lucas and starred Mark Hamill, Harrison Ford, and Carrie Fisher.
  • "E.T. the Extra-Terrestrial" (1982): A classic science fiction film that helped establish Steven Spielberg as a master of the genre. The film was directed by Steven Spielberg and starred Henry Thomas and Drew Barrymore.
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The Decline of Hollywood (1970s-1980s)

The 1970s and 1980s saw a decline in the influence and power of Hollywood. The rise of international film production, particularly from Europe and Asia, led to a decline in the dominance of American studios.

The 1970s also saw a significant shift in the types of films being produced, with the rise of the "blockbuster" film and the decline of the traditional studio system.

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The Modern Era (1990s-Present)

In the 1990s, Hollywood experienced a significant resurgence, thanks in part to the rise of independent film and the success of films like "Pulp Fiction" and "Toy Story."

The 2000s saw the rise of the "franchise film," with films like "Harry Potter" and "The Lord of the Rings" becoming huge box office successes.

Today, Hollywood is a global industry, with films produced in a wide range of languages and cultures. The industry continues to evolve, with the rise of streaming services and the increasing importance of international production.

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Key Dates

  • 1887: Harvey Henderson Wilcox buys a 160-acre ranch in the area, which he names "Hollywood."
  • 1911: The Nestor Film Company builds the first film studio in Hollywood.
  • 1927: The first "talkie" film, "The Jazz Singer," is released.
  • 1939: "Gone with the Wind" is released, becoming one of the most iconic films of all time.
  • 1942: "Casablanca" is released, becoming one of the most iconic films of all time.
  • 1952: "Singin' in the Rain" is released, helping to establish the "star system" in Hollywood.
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  • 1960: "Psycho" is released, helping to establish Alfred Hitchcock as a master of the genre.
  • 1968: "2001: A Space Odyssey" is released, helping to establish Stanley Kubrick as a master of the genre.
  • 1975: "Jaws" is released, helping to establish Steven Spielberg as a master of the genre.
  • 1977: "Star Wars" is released, helping to establish George Lucas as a master of the genre.
  • 1982: "E.T. the Extra-Terrestrial" is released, helping to establish Steven Spielberg as a master of the genre.
  • 1990s: The rise of independent film and the success of films like "Pulp Fiction" and "Toy Story" help to establish Hollywood as a major center for the film industry.
  • 2000s: The rise of the "franchise film" and the success of films like "Harry Potter" and "The Lord of the Rings" help to establish Hollywood as a major center for the film industry.
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Key Figures

  • Harvey Henderson Wilcox: The founder of Hollywood, who bought a 160-acre ranch in the area in 1887.
  • David Horsley: A pioneer in the development of film technology, who established the first film studio in Hollywood in 1911.
  • D.W. Griffith: A pioneering filmmaker who helped establish Hollywood as a major center for the film industry.
  • Cecil B. DeMille: A director who helped establish the "star system" in Hollywood, and who produced some of the most iconic films of the era.
  • Stanley Kubrick: A director who helped establish Hollywood as a major center for artistic film, and who produced some of the most iconic films of the era.
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  • Steven Spielberg: A director who helped establish Hollywood as a major center for blockbuster films, and who produced some of the most iconic films of the era.
  • George Lucas: A director and producer who helped establish Hollywood as a major center for science fiction and fantasy films, and who produced some of the most iconic films of the era.
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Key Films

  • "The Birth of a Nation" (1915): A pioneering film that helped establish Hollywood as a major center for the film industry.
  • "The Jazz Singer" (1927): The first "talkie" film, which marked the beginning of the end of the silent film era.
  • "Gone with the Wind" (1939): A epic historical romance that became one of the most iconic films of all time.
  • "Casablanca" (1942): A classic romantic drama that became one of the most iconic films of all time.
  • "Singin' in the Rain" (1952): A classic musical comedy that helped establish the "star system" in Hollywood.
  • "Psycho" (1960): A classic horror film that helped establish Alfred Hitchcock as a master of the genre.
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  • "2001: A Space Odyssey" (1968): A classic science fiction film that helped establish Stanley Kubrick as a master of the genre.
  • "Jaws" (1975): A classic thriller that helped establish Steven Spielberg as a master of the genre.
  • "Star Wars" (1977): A classic science fiction film that helped establish George Lucas as a master of the genre.
  • "E.T. the Extra-Terrestrial" (1982): A classic science fiction film that helped establish Steven Spielberg as a master of the genre.
  • "Pulp Fiction" (1994): A classic crime film that helped establish Quentin Tarantino as a master of the genre.
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  • "Toy Story" (1995): A classic animated film that helped establish Pixar as a major player in the animation industry.
  • "Harry Potter" (2001): A classic fantasy film that helped establish the "franchise film" genre.
  • "The Lord of the Rings" (2001): A classic fantasy film that helped establish the "franchise film" genre.
  • "Avatar" (2009): A classic science fiction film that helped establish James Cameron as a master of the genre.
  • "The Avengers" (2012): A classic superhero film that helped establish the Marvel Cinematic Universe as a major player in the film industry.
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How ARK Is Thinking About Humanoid Robotics

As Elon Musk said during Tesla’s first-quarter earnings call, “If you've got a sentient humanoid robot that is able to navigate reality and do tasks at request, there is no meaningful limit to the size of the economy.”1 Musk was sharing a vision that we believe is turbocharging the robotics industry, creating new robotics companies and increasing venture investments focused on its promise.

#arkinvest #humanoid #robots #future #technology

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Introduction
As Elon Musk said during Tesla’s first-quarter earnings call, “If you've got a sentient humanoid robot that is able to navigate reality and do tasks at request, there is no meaningful limit to the size of the economy.” Musk was sharing a vision that we believe is turbocharging the robotics industry, creating new robotics companies and increasing venture investments focused on its promise.

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While Musk is envisioning humanoid robots that exceed human capability, even before that moment in time, if humanoid robots are able to operate at scale, they could generate ~$24 trillion in revenues, split roughly equally between household and manufacturing robotics, according to ARK’s research, as shown below.

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In this article, we focus on the robotics opportunity in US manufacturing. According to our research, the US manufacturing sector employs nearly 12 million people, who work ~23 billion hours per year, for ~$785 billion in pay, to produce output worth ~$2.4 trillion, as shown below. In the unlikely event that it were to substitute robots for all human workers and put them to work for 16 hours per day, the manufacturing sector would need only ~5.9 million robots—half the number of human workers employed today—to deliver the same level of manufacturing output, as shown below.

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US Manufacturing

humans
Theoretical Humanoid Robots
Hours Per week
40
80
weeks Per Year
50
50
Annual Hours
2,000
4,000
Total Manufacturing Employees
11,710,424
~5,900,000
Total Hours
23 million
23 million
Annual Payroll
$785 billion
$390 billion*
Annualized Manufacturing Value
$2.4 trillion
$2.4 trillion

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*This figure assumes a ~50% take rate for the provider of the humanoid robot ($785 * 50% = $392.5). Source: ARK Investment Management LLC, 2024, based on data from the Bureau of economic Analysis, U.S. Department of commerce 2024 and United States Census Bureau 2023.2 For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security.

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In a more likely scenario, humanoid robots will debut at higher price points and be much less capable than their human counterparts. According to our research, humanoid robots will become more economically viable than human employees at tipping points in their net present value (NPV) that balance the cost of humanoid robots against the productivity gains they will enable, as shown below. At a cost of $16,000, for example, a humanoid robot would have to deliver little more than a 5% gain in productivity relative to its human counterpart to become economically viable. For context, Musk has suggested that, “Complexity per unit mass is much higher with humanoid robots, but still I think it ends up costing less than half of a car.”3

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As we put the tipping point model into real-world context, two variables in manufacturing are important to consider: company size and “labor share”—the share of revenue going to compensate labor.

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Company Size
Unlike in small firms—where employees are likely to “wear more than one hat”—large manufacturing firms are organized by specialized and automated tasks. As a result, over time their productivity has been more than twice as high as the smallest firms.4 Specialization and automation give large firms the wherewithal to scale significantly and, in turn, lower labor costs as a share of revenue. Consequently, and somewhat counter-intuitively, large companies typically pay higher wages than small firms, because automating specific tasks typically boosts the productivity in large firms more than in small firms, as illustrated in the two charts below.

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Because generalized automation solutions—those for multiple tasks—have not evolved as quickly as automation solutions for specific tasks, small firms typically have a disproportionate number of automatable-but-not-yet-automated tasks that would benefit from generalizable solutions like humanoid robots.

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Labor Share
Compensation as a share of revenue varies dramatically by subindustries in the manufacturing sector. In 2021, it ranged from 3% in tobacco manufacturing and 6% in grain and oilseed milling to 37% in machine shops (including turned products, and screws, nuts, and bolts) to ~40% in apparel knitting mills, as shown below.

Thanks to their more specialized employment positions, large manufacturers typically benefit more than small companies from single task automation solutions and enjoy lower labor costs relative to revenues, as shown below. With less job specialization, small manufacturers are burdened with higher labor costs and, therefore, are likely to benefit disproportionately from more generalizable humanoid robotic solutions.

According to our research, 40% of US manufacturing employees work in small firms. In the illustration below, small firms employ fewer than 500 people.

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Potential Tailwinds For Humanoid Robotics
In the aftermath of COVID-related supply chain shocks, onshoring and labor shortages could provide meaningful tailwinds for humanoid robots, lowering managements’ sensitivity to their price and, thereby, accelerating the transformation of manufacturing. As a result, our research suggests that the market value of generalizable robots could scale into the tens of trillions of dollars.

The biggest question now is, how quickly will AI software enable humanlike performance across the subsectors of manufacturing, and beyond?

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Money is a technology

Yes, more than a couple actually. Money has been created and multiplied according to many different designs in different societies. Medieval coin was a sovereign debt in the sense that public officials issued it and agreed to accept it back, but coin carried a collateral – its silver or gold content. People could expand the money supply by buying more coin in return for bullion at the mint. In early America by contrast, colonial legislatures lacking silver or gold issued sovereign IOUs made of paper directly into circulation, while agreeing to take them back later in taxes. People could expand the money supply there by borrowing against their farms from public land banks. Both of those systems worked – but they distributed access, political power, and wealth in contrasting ways, generated really distinct approaches to exchange, and created different paths for growth.

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The modern method of making money departs from both of the earlier examples. Central banks acting for the government today issue cash in small units against longer-term public debt and other assets. In turn, commercial banks offer credit in the sovereign units to borrowers who can make a promise of productivity (i.e.., a promise they will repay the bank later). In other words, our system pairs public and private money creation. On the one hand, that can expand access to credit. After all, just compare: while medieval mints required that people have silver before they could get money, modern commercial banks take a promise that a person will be productive and give them credit they can use to make that productivity real. On the other hand, commercial banks now gain profits for money creation that used to go to the public and they sort through borrowers to choose those who are most profitable to them, not necessarily those who will contribute to social welfare.

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The point is that the designs we use to make and multiply money matter enormously. They profoundly shape exchange. But many of the features in our modern design have been inherited or improvised, happened accidentally or without adequate scrutiny. Money’s institutional life, in other words, has been radically under-analyzed. We need to think creatively about monetary design as a dimension of governance and an avenue towards democracy.

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Microsoft fires employees who organized vigil for Palestinians killed in Gaza

Microsoft has fired two employees who organized an unauthorized vigil at the company’s headquarters for Palestinians killed in Gaza during Israel’s yearlong war with Hamas.

#microsoft #hamas #palestine

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The two employees told The Associated Press they were fired by phone call late Thursday, several hours after a lunchtime event they organized at Microsoft’s campus in Redmond, Washington.

Both workers were members of a coalition of employees called “No Azure for Apartheid” that has opposed Microsoft’s sale of its cloud-computing technology to the Israeli government. But they contended that Thursday’s event was similar to other Microsoft-sanctioned employee giving campaigns for people in need.

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“We have so many community members within Microsoft who have lost family, lost friends or loved ones,” said Abdo Mohamed, a researcher and data scientist. “But Microsoft really failed to have the space for us where we can come together and share our grief and honor the memories of people who can no longer speak for themselves.”

Microsoft said Friday it has “ended the employment of some individuals in accordance with internal policy” but declined to provide details.

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Popular Hentai Piracy Site Claims Publisher Gave Permission to Post Nudes

The legal battle between the website nHentai and publisher PCR Distributor took a weird turn this week.

The early stages of a hentai piracy lawsuit got interesting this month when court documents revealed that the aggrieved publisher had sent emails admitting that piracy is impossible to stop. In a series of communications from the publisher to the piracy site, the publisher also attempted to buy banner ads on the site and provided a list of specific pages where it wanted the ads to appear.

#ai #technology #piracy #hentai #copyright #lawsuit

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TorrentFreak has been following the strange tale of nHentai and PCR Distributing. nHentai is a popular website that provides free scans of hentai from big publishers. It got 80 million visitors in June. PCR Distributing is a company that published a lot of the filth that ends up on nHentai.

Over the summer, PCR started to pursue legal action against nHentai. It began with a DMCA and has escalated to a full blown lawsuit. In court documents filed on October 14, PCR asked the court for early discovery in the case. The people running nHentai are still anonymous and listed as “John Doe.” PCR wants Cloudflare and other services to cough up their identity.

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nHentai’s lawyers pushed back on PCR, claiming in its own documents that PCR was asking them to turn over too much and that it didn’t want to reveal any user data. In a surprise twist, the documents also revealed several emails allegedly between PCR employees and nHentai where, according to nHentai, the publisher gave the site tacit permission to post its content.

A 2020 email allegedly from a PCR employee to nHentai gave an eloquent argument about the limitations of copyright claims in the digital world. “I want to stress this is not a takedown request or a DCMA,” the email said. “I’ve spent enough time sailing the high seas myself to know that they’re pointless and nobody listens to them anyway.”

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A New Approach to Analyzing Operational Efficiency of Bitcoin Mining Companies

Discover how Bitcoin mining companies are navigating operational efficiency amid global layoff trends by examining their G&A expenses relative to revenue.

In recent times, major tech companies such as Tesla, Google, Microsoft, and Amazon have all been undergoing significant layoffs. This trend is not confined to Silicon Valley; it spans various industries globally. Even X (formerly Twitter) saw around 80% of its employees depart after Elon Musk’s acquisition. Despite massive cuts, these platforms continue to function without any noticeable disruptions, raising questions about operational efficiency and cost management.

#newsonleo #bitcoinmining #crypto #technology

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This trend led me to think: while Bitcoin mining companies are expanding their operations, upgrading fleets, or diversifying revenue streams to address smaller mining margins, how are they managing their non-essential business costs? Specifically, analyzing their General and Administrative (G&A) expenses relative to their revenue can provide valuable insights into their operational efficiency and cost management strategies.

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Vitalik Buterin outlines ways to reduce Ethereum's bloat in 'Purge' upgrade roadmap

Reducing the need for every node to permanently store all history in addition to unneeded protocol features could mitigate Ethereum's bloat, Buterin said.

  • Reducing the need for every node to permanently store all history in addition to unneeded protocol features could mitigate Ethereum’s bloat, Buterin said.
  • Titled “The Purge,” the possible roadmap is Buterin’s fifth installment in a series contemplating Ethereum’s future.

#ethereum #buterin #crypto #network #purge

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Ethereum co-founder Vitalik Buterin outlined a possible roadmap tackling the Layer 1's complexity and "bloat" over time.

Buterin wrote in an Oct. 26 post that a protocol's bloat primarily occurs through its increased features and historical data. Running an Etheruem node currently requires about 1.1 terabytes of disk space for the execution client, which connects to the Ethereum network and holds the database of its data, and hundreds more gigabytes of storage for the consensus client, which implements Etheruem's proof-of-stake consensus mechanism.

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He said reducing the need for every node to permanently store all history in addition to unneeded protocol features could achieve this goal of reduced bloat, titled "The Purge," while still preserving blockchain permanence.

"If, by making node running more affordable, we can get to a network with 100,000 nodes, where each node stores a random 10% of the history, then each piece of data would get replicated 10,000 times — exactly the same replication factor as a 10,000-node network where each node stores everything," Buterin wrote.

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Building an SEO growth model

A top-down SEO growth model helps secure internal support by projecting future traffic, conversions, and revenue generated through SEO efforts. Start by estimating incremental traffic from direct competitors (high-intent) and indirect competitors (lower-intent), applying relevance discounts to ensure accuracy. Convert projected traffic into conversions, using historical rates for high- and low-intent traffic, and finally, calculate revenue by applying customer lifetime value (LTV). This model provides a clear, data-driven roadmap, highlighting the tangible impact of SEO investment for key stakeholders.

#technology #seo #internet

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