!summarize #sny #omarminaya #nymets #generalmanager

The future of AI and cryptocurrency represents a convergence of two transformative technologies that have the potential to reshape global finance and digital interactions. AI’s ability to process vast amounts of data, detect patterns, and optimize decision-making complements the decentralized and transparent nature of blockchain technology

Together, they can create sophisticated ecosystems where AI agents facilitate secure, autonomous transactions, manage digital assets, and enhance blockchain scalability. For example, AI can optimize the efficiency of blockchain networks by predicting transaction congestion and dynamically adjusting fees, fostering smoother operations and reducing costs.In the coming years, AI is likely to play a critical role in addressing some of the biggest challenges faced by the cryptocurrency industry. Enhanced fraud detection and security mechanisms powered by AI could significantly mitigate risks such as hacking and manipulation.

But Ellison has found the fountain of youth both personally and professionally. After being divorced several times, Ellison was reported this month to be involved with a 33-year-old woman. And at a meeting with analysts in Las Vegas in September, Ellison was as engaged as ever, mentioning offhand that the night before, he and his son were having dinner with his good friend Musk, who's advising President-elect Donald Trump (then the Republican nominee) while running Tesla and his other ventures.

His big financial boon has come from Oracle, which has maneuvered its way into the artificial intelligence craze with its cloud infrastructure technology and has made its databases more accessible.

Collaboration between developers, policymakers, and academic researchers will be essential to establish ethical guidelines and safeguard measures for AI applications in the crypto space. Initiatives such as Stanford’s partnerships with blockchain firms reflect the importance of interdisciplinary efforts in shaping a responsible and secure integration.Looking ahead, the synergy between AI and cryptocurrency could redefine not only financial systems but also broader aspects of economic and digital life. AI-powered decentralized autonomous organizations could emerge as self-governing entities that dynamically adapt to market conditions, optimizing operations without human intervention.

Furthermore, AI-enhanced smart contracts could enable complex agreements that react to real-time data inputs, expanding the use cases of blockchain technology. As these innovations evolve, the interplay between AI and crypto will likely pave the way for a more efficient, secure, and inclusive digital economy.

!summarize #beaniebabies #pyramidscheme #collectables

ChatGPT creator OpenAI said in June that it will use Oracle's cloud infrastructure. Earlier this month, Oracle said it had also picked up business from Meta.

Startups, which often opt for market leader Amazon Web Services when picking a cloud, have been engaging Oracle as well. Last year, video generation startup Genmo set up a system to train an AI model with Nvidia graphics processing units (GPUs) in Oracle's cloud, CEO Paras Jain said. Genmo now relies on the Oracle cloud to produce videos based on the prompts that users type in on its website.

Moreover, AI-driven analytics will enable more robust regulatory compliance, helping organizations adhere to evolving global standards. These capabilities are particularly crucial as the adoption of cryptocurrencies grows and demands for both security and trust in decentralized systems increase.However, the fusion of AI and crypto also introduces complexities that will shape their future. Issues such as ethical considerations, algorithmic biases, and the risk of centralization in AI-controlled systems must be addressed to ensure that these technologies fulfill their potential without compromising foundational principles like decentralization and transparency.

"Oracle produced a different product than what you can get elsewhere with GPU computing," Jain said. The company offers "bare metal" computers that can sometimes yield better performance than architectures that employ server virtualization, he said.

In its latest earnings report earlier this month, Oracle came up short of analysts' estimates and issued a forecast that was also weaker than Wall Street was expecting. The stock had its worst day of 2024, falling almost 7% and eating into the year's gains.

Still, Ellison was bullish for the future.

"Oracle Cloud Infrastructure trains several of the world's most important generative AI models because we are faster and less expensive than other clouds," Ellison said in the earnings release.

For the current fiscal year, which ends in May, Oracle is expected to record revenue growth of about 10%, which would mark its second-strongest year of expansion since 2011.

Despite these challenges, the integration of AI agents into digital asset systems is not without potential solutions. Robust encryption, multi-factor authentication, and the use of decentralized infrastructures can enhance the security of AI-managed systems. Furthermore, partnerships between academia, industry, and regulatory bodies—such as Stanford University’s collaboration with blockchain innovators—are essential for developing frameworks that combine innovation with security.

As AI systems mature and their limitations are better understood, the potential for secure, reliable AI agents in the digital asset space will likely increase, but their adoption will depend on continuous advancements in security and ethical safeguards.

Jain said that when Genmo has challenges, he communicates with Oracle sales executives and engineers through a Slack channel. The collaboration has resulted in better reliability and performance, he said. He said Oracle worked with Genmo to ensure that developers could launch the startup's Mochi open-source video generator on Oracle's cloud hardware with a single click.

"Oracle was also more price-competitive than these large hyperscalers," Jain said.

!summarize #bootesvoid #science

'That's going to be so easy'
Three months before its December earnings report, at the analyst event in Las Vegas, Oracle had given a rosy outlook for the next three years. Executive Vice President Doug Kehring declared that the company would produce more than $66 billion in revenue in the 2026 fiscal year, and over $104 billion in fiscal 2029. The numbers suggested acceleration, with a compound annual growth rate of over 16%, compared with 9% in the latest quarter.

After Kehring and CEO Safra Catz spoke, it was Ellison's turn. The company's chairman, technology chief and top shareholder strutted onto the stage in a black sweater and jeans, waved to the analysts, licked his lips and sat down. For the next 74 minutes, he answered questions from seven analysts.

!summarize #evs #Technology

"Did — did he say $104 billion?" Ellison said, referring to Kehring's projection. Some in the crowd giggled. "That's going to be so easy. It is kind of crazy."

Oracle's revenue in fiscal 2023 was just shy of $50 billion.

The new target impressed Eric Lynch, managing director of Scharf Investments, which held $167 million in Oracle shares at the end of September.

Oracle is still far behind in cloud infrastructure. In 2023, Amazon controlled 39% share of market, followed by Microsoft at 23% and Google at 8.2%, according to industry researcher Gartner. That left Oracle with 1.4%.

But in database software, Oracle remains a stalwart. Gartner estimated that the company had 17% market share in database management systems in 2023.

Ellison's challenge is to find opportunities for expansion.

While AI systems are designed to learn and adapt, their security is only as robust as the algorithms, training data, and safeguards embedded within their design.One significant concern is the vulnerability of AI agents to exploitation. These vulnerabilities often stem from inadequate safeguards, lack of ethical frameworks, or flaws in the underlying programming. Addressing these weaknesses requires rigorous testing, secure development practices, and constant updates to counteract emerging threats.

Another challenge lies in the opacity of many AI systems, particularly those employing machine learning algorithms that operate as “black boxes.” This lack of transparency makes it difficult to predict or understand how AI agents might behave in specific scenarios, creating a potential risk in high-stakes environments such as digital asset management. Transparency and explainability are critical for building trust in AI agents, allowing users and developers to identify and address potential vulnerabilities before they can be exploited.

Are AI Agents Ready For Prime Time When it Comes to Digital Assets
The security of AI agents in managing digital assets is a topic of growing importance as these technologies become more integrated into cryptocurrency ecosystems. AI agents are increasingly tasked with executing transactions, managing wallets, and optimizing trading strategies, offering significant advantages such as real-time data analysis and automation. However, their effectiveness hinges on their ability to safeguard digital assets against manipulation, fraud, and other threats.

Last year, he visited Microsoft headquarters in Redmond Washington, for the first time to announce a partnership that would enable organizations to use Oracle's database through Microsoft's Azure cloud. Microsoft even installed Oracle hardware in its data centers.

In June, Oracle rolled out a similar announcement with Google. Then, in September, Oracle finally partnered with Amazon, introducing its database on AWS.

Despite these challenges, the exploration of AI in digital asset ecosystems is progressing rapidly, with growing interest from academia, industry leaders, and blockchain developers. Initiatives like Stanford’s research partnership with AI16z are pivotal in understanding and mitigating risks while unlocking the full potential of autonomous agents in cryptocurrency systems. As these technologies mature, they could reshape the landscape of digital finance, providing innovative solutions to longstanding issues such as inefficiencies, security gaps, and accessibility barriers, while simultaneously redefining the roles of humans and machines in economic systems.

However, the integration of AI as digital agents also presents significant risks and challenges. Recent incidents where AI bots were manipulated into mismanaging digital assets, such as an instance where a user tricked an AI agent into transferring $50,000 in cryptocurrency, underscore vulnerabilities in these systems. These cases reveal the critical need for robust safeguards, ethical guidelines, and fail-safes to prevent misuse or exploitation of autonomous agents. The risk of AI misjudgment or manipulation introduces a layer of complexity that could undermine trust in these systems if not adequately addressed.

One of the key advantages of AI in this space is its ability to process vast amounts of data in real-time, enabling more informed decision-making and improving transaction execution speed. The partnership between Stanford researchers and the team behind AI16z, a blockchain-powered AI bot, highlights the potential of combining AI and decentralized technologies to create intelligent, self-governing agents capable of enhancing the functionality of blockchain networks. These systems could provide a decentralized infrastructure for asset management and trading, reducing reliance on traditional intermediaries and lowering transaction costs for users.

Oracle and Amazon had exchanged barbs for years. AWS introduced a database called Aurora in 2014, and Amazon worked hard to move itself off Oracle. Following a CNBC report on the effort, Ellison expressed doubt about Amazon's ability to reach its goal. But the project succeeded.

In 2019, Amazon published a blog post titled, "Migration Complete – Amazon's Consumer Business Just Turned off its Final Oracle Database."

How are AI Agents Impacting Digital Assets?
The intersection of artificial intelligence (AI) and digital assets is emerging as a transformative domain, with AI agents increasingly being explored as facilitators and managers of digital currency systems. This overlap is fueled by initiatives like the partnership between Eliza Labs and Stanford University’s Future Digital Currency Initiative (FDCI), which investigates how autonomous AI agents can impact the functionality, security, and scalability of digital asset ecosystems. These AI agents are envisioned to perform tasks such as executing transactions, managing wallets, and optimizing investment strategies, with potential to streamline operations while introducing new efficiencies.

Ellison looked back on the history between the two companies at the analyst meeting in September.

"I got kind of got cute commenting about Amazon uses Oracle, doesn't use AWS, blah, blah," he said. "And that hurt some people's feelings. I probably shouldn't have said it."

He said a friend at a major New York bank had asked him to make sure the Oracle database works on AWS.

"I said, 'Great. It makes sense to me,'" Ellison said.

The multi-cloud strategy should deliver gains in database market share, said analyst Siti Panigrahi of Mizuho, which has the equivalent of a buy rating on Oracle shares. Cloud deals related to AI will also help Oracle deliver on its promise for faster revenue growth, he said.

!summarize #nba

"Oracle right now has an end-to-end stack for enterprises to build their AI strategy," said Panigrahi, who worked on applications at Oracle in the 2000s.

So far, Oracle has been mainly cutting high-value AI deals with the likes of OpenAI and Musk's X.ai. Of Oracle's $97 billion in remaining performance obligations, or revenue that hasn't yet been recognized, 40% or 50% of it is tied to renting out GPUs, Panigrahi said.

Are AI Agents the Future of Digital Assets?
The convergence of artificial intelligence (AI) and digital assets is transforming cryptocurrency systems, with AI agents being explored for tasks like transaction execution and wallet management to enhance efficiency and scalability. Partnerships like that of Eliza Labs and Stanford University’s Future Digital Currency Initiative are advancing this intersection, while projects such as AI16z highlight the potential for decentralized, self-governing AI agents to optimize blockchain networks. However, vulnerabilities, as demonstrated by incidents of AI manipulation, expose critical risks requiring robust safeguards to maintain trust in these systems. Despite challenges, the rapid development in this field holds promise for reshaping digital finance by addressing inefficiencies and introducing innovative solutions.

Panigrahi predicts that a wider swath of enterprises will begin adopting AI, which will be a boon to Oracle given its hundreds of thousands of big customers.

There's also promise in Oracle Health, the segment that came out of the company's $28.2 billion acquisition of electronic health record software vendor Cerner in 2022.

Yoshiki Hayashi, Marc Benioff and Larry Ellison attend the Transformative Medicine of USC: Rebels with a Cause Gala in Santa Monica, California, on Oct. 24, 2019.

Unlike rival Epic, Oracle Health lost U.S. market share in 2023, according to estimates from KLAS Research. But Ellison's connection to Musk, who is set to co-lead Trump's Department of Government Efficiency, might benefit Oracle Health "if there is a bigger push towards modernizing existing healthcare systems," analysts at Evercore said in a note last week. They recommend buying the stock.

For now, Oracle is busy using AI to rewrite Cerner's entire code base, Ellison said at the analyst event.

"This is another pillar for growth," he said. "I think you haven't quite seen it yet."

Hours earlier, Ellison had put in a call to Marc Benioff, the co-founder and CEO of Salesforce. Benioff knows Ellison as well as anyone, having worked for him for 13 years before starting the cloud software company that's now a big competitor.

"It was awesome," Benioff said in a wide-ranging interview the next day, regarding his chat with Ellison.

Benioff spoke about his former boss's latest run of fortune.

"Larry really deeply wants this," Benioff said. "This is very important to him, that he is building a great company, what he believes is one of the most important companies in the world, and also, wealth is very important to him."

AppLovin entered the year with a market cap of about $13 billion and was best known for investing in a collection of mobile gaming studios that had produced titles like "Woody Block Puzzle," "Clockmaker" and "Bingo Story."

As it exits the year, AppLovin's valuation has soared past $110 billion, making it worth more than Starbucks, Intel and Airbnb. At Tuesday's close, AppLovin shares are up 758% this year, far surpassing all other tech companies.

While AppLovin went public in 2021, riding a Covid-era wave of excitement in online games, the business is now centered around online ads and booming profits from advancements in AI.

Last year, AppLovin released the updated 2.0 version of its ad search engine called AXON, which helps put more targeted ads on the gaming apps the company owns and is also used by studios that license the technology. Software platform revenue in the third quarter increased 66% to $835 million, outpacing total growth of 39%.

Net income in the quarter soared 300%, lifting the company's profit margin to 36.3% from 12.6% in the course of a year.

!summarize #space

AppLovin CEO Adam Foroughi, whose net worth has swelled past $10 billion, is even more excited about what's coming. On the company's earnings call in November, Foroughi raved about a test e-commerce project that allows businesses to offer targeted ads in games.

"In all my years, It's the best product I've ever seen released by us, fastest growing, but it's still in pilot," he said.

After climbing 346% in 2023, it was hard to imagine MicroStrategy's stock finding another gear. But it did.

The company's share price has jumped 467% this year on the back of a bitcoin-buying strategy that's made founder Michael Saylor a crypto cult hero.

In mid-2020, the company announced a plan to start buying bitcoin. Up to that point, MicroStrategy had been a middling business intelligence software vendor, but since then, its purchased over 444,000 bitcoins, using its ever-increasing share price as a way to sell stock, raise debt and buy more coin.

Drums part of combined installation equipment
Kiverov stressed that the spent fuel drum cools spent fuel assemblies unloaded from the reactor in a non-reactive environment.

“The drums are part of the combined installation equipment, which means that with their installation at the MBIR nuclear research reactor it is possible to pour concrete onto the area of the central hall flooring of approximately 100 square meters, and start to install the equipment at a height of +11.900 meters,” added Kiverov.

Additionally, the MBIR core basket was de mothballed and turned over at the reactor unit. A holding frame with a basket is currently installed at a height of +13.200 meters in the central hall, and the welding of a core containment device, known as a core catcher, is currently underway, according to a press release by the company.

The work on the company’s construction site is progressing as planned in line with the schedule for this large-scale project.

It's now the world's fourth-largest holder of bitcoin, behind only creator Satoshi Nakamoto, BlackRock's iShares Bitcoin Trust and crypto exchange Binance, with a stockpile valued at close to $44 billion. MicroStrategy's market cap has swelled from about $1.1 billion when it was just a software company to $80 billion today.

While the rally was long underway prior to November, Trump's election victory last month added fuel. The stock is up 57% since then while bitcoin has gained about 44%. Trump once called bitcoin a "scam," but he was the industry's preferred choice in this election and was backed heavily by some of the leading players, including Coinbase.

Rosatom has maintained that the construction of the MBIR reactor at the site of RIAR JSC is a significant long-term project for the development of the experimental base of Russia’s nuclear industry. The project is expected to ensure Russia’s leadership in the development of innovative reactor technologies for the next 50 years. The project is part of the comprehensive program “Development of Equipment, Technologies, and Scientific Research in the Nuclear Energy Use in Russia.”

Russia’s new reactor is expected to replace the existing BOR-60 research facility and provide the nuclear industry with state-of-the-art research infrastructure for the next half century. Its innovative features will enhance exploration of the technologies of two-component nuclear energy, as well as of closed nuclear fuel cycle, while also accelerating and justifying the development of safe fourth-generation nuclear power plants, as per the release.

"With the red sweep, Bitcoin is surging up with tailwinds, and the rest of the digital assets will also begin to surge," Saylor told CNBC soon after the election. He said bitcoin remains the "safe trade" in the crypto space, but as a "digital assets framework" is put into place for the broader crypto market, "there'll be a surge in the entire digital assets industry."

“The introduction of cutting-edge technologies and hi-tech equipment allows Rosatom and its affiliates to expand into new market sectors, boosting the competitiveness of the nuclear industry and the Russian industry as a whole,” added the company in the release.

Palantir had a lot of big runs in 2024 on its way to a 380% gain in its stock price. One of its best stretches came last month, when the software company boosted its revenue outlook a day ahead of the presidential election.

The company, which sells data analytics tools to defense agencies, bumped up its target for 2024, with fourth-quarter guidance that blew away analysts' estimates. Palantir also topped results for the third quarter, leading CEO Alex Karp to declare in the earnings release, "We absolutely eviscerated this quarter, driven by unrelenting AI demand that won't slow down."

Technological and user experience challenges
One of the primary obstacles to realizing the metaverse vision is technological advancement. Immersive VR requires extensive graphic rendering, which remains beyond the reach of the mass market. Additionally, high costs and physically unpleasant effects—such as nausea and eye strain—make prolonged use of VR devices uncomfortable for many users. These factors hinder the seamless integration of multiple platforms, preventing users from fluidly moving between different virtual environments.

While numerous businesses strive to establish a presence in the metaverse, many may fail as consumers encounter fragmented and inconsistent experiences that do not resonate with their expectations. The challenge lies in creating a cohesive and user-friendly metaverse that can accommodate diverse applications and user needs.

The stock jumped 23% on the earnings report and then another 8.6% the next day after Trump's win. Palantir co-founder and board member Peter Thiel was a big Trump booster in the 2016 campaign and helped organize a meeting with tech execs at Trump Tower soon after that election. Karp was one of the attendees.

Karp, however, openly backed Vice President Kamala Harris, the Democratic nominee, in the 2024 campaign. He told The New York Times in a story published in August that Thiel's earlier support of Trump and the backlash that followed made it "actually harder to get things done."

Applications in key sectors: Education, healthcare, and retail
Despite its challenges, the metaverse holds significant potential across various sectors:

Education: Immersive VR experiences can revolutionize learning by simulating visits to ancient sites or facilitating complex scientific explorations. This interactive approach makes learning more intuitive and engaging, particularly for children. Platforms like EngageVR have already begun experimenting with virtual classrooms, demonstrating the transformative potential of the metaverse in education.

Healthcare: Augmented and virtual reality applications in healthcare are groundbreaking. VR can train surgeons, offer virtual consultations, and provide therapeutic care for patients with PTSD. Recent studies have shown that VR environments can help manage pain in hospital settings. Additionally, virtual headsets are being used to treat anxiety, indicating a promising future for VR-based medical treatments. However, limitations such as mobility constraints and high costs remain significant barriers.

Still, Wall Street has rallied behind Palantir following the election on optimism that more military spending will flow to the company.

Karp's comments in the earnings report ahead of the election suggest the company would be fine either way.

"The growth of our business is accelerating, and our financial performance is exceeding expectations as we meet an unwavering demand for the most advanced artificial intelligence technologies from our U.S. government and commercial customers," Karp said in a letter to shareholders.

Analysts expect revenue growth in 2025 of about 24% to $3.5 billion, according to LSEG.

Retail and E-Commerce: The metaverse is poised to redefine retail and e-commerce by offering immersive shopping experiences. Imagine browsing and purchasing products while wearing a headset, seeing items in a virtual environment before buying them. Companies like Nike are developing platforms that allow customers to design avatars and shop seamlessly within a virtual space, akin to playing a video game. Virtual stores promise a more personalized and engaging shopping experience compared to traditional e-commerce platforms.

Robinhood shares more than tripled in value this year, despite a 17% drop on Oct. 31, following disappointing earnings.

Investors looked past those numbers a few days later, driving the stock up 20% after Trump's election win, as all things tied to crypto rallied. One of Robinhood's biggest growth engines is crypto, which retail investors can easily purchase on the app, alongside their stocks.

Revenue from crypto transactions jumped 165% in the third quarter from a year earlier to $61 million, accounting for 10% of total net revenue.

Cultural and ethical implications of a digital reality
As we inch closer to living in digital spaces, questions about identity, community, and ethics become increasingly relevant. In a world where digital interactions could mirror or surpass real-life connections, what does forming communities in a virtual space mean? How do we ensure these spaces remain inclusive and accessible to all?

Identity: Avatars allow users to experiment with different aspects of self-expression, which can be empowering. However, this raises concerns about authenticity and privacy. Misrepresentation and anonymity can encourage negative behaviors, such as cyberbullying or exploitation, that are harder to address in a virtual world.

Community: Virtual communities offer new forms of interaction and connection, but they also pose challenges in maintaining genuine and meaningful relationships. Ensuring that these communities are supportive and respectful environments is crucial for their sustainability.

In addition to bitcoin, Robinhood users can easily buy about 20 other cryptocurrencies, ranging from popular digital assets like ethereum to alt-coins such as dogecoin, Shiba Inu and Bonk. At the company's investor day in November, Robinhood CEO Vlad Tenev said that crypto is more than just an investment but also a "disruptive technology that will change the underlying infrastructure beneath payments, loans and a wide variety of tradable assets."

For the fourth quarter, analysts are expecting Robinhood to report revenue growth of over 70% to $805.7 million, according to LSEG, which would be the fastest rate of growth for any quarter since 2021, the year the company went public.

Robinhood's rally this year has exceeded that of Coinbase, which has jumped 61%. But with a market cap of $70 billion, Coinbase is still twice as valuable.

Ethics: From a philosophical standpoint, the metaverse forces us to question what is “real.” If people spend more time interacting in digital spaces than in physical ones, will they begin to value their digital lives more than their real-world experiences? Moreover, as companies gain control over these virtual spaces, they could significantly influence how people behave and interact, raising concerns about corporate dominance and surveillance.

Nvidia's astounding run has continued.

Following last year's 239% gain, powered by excitement around generative AI, Nvidia soared another 183% this year, adding a whopping $2.2 trillion in market cap.

Twice this year Nvidia grabbed the title of world's most valuable publicly traded company. Apple has jumped back ahead and is approaching $4 trillion, with Nvidia at $3.4 trillion and Microsoft at $3.3 trillion.

Nvidia remains the biggest beneficiary of the AI boom, as the largest cloud vendors and internet companies snap up all the graphics processing units they can find. Annual revenue has increased by at least 94% in each of the past six quarters, with growth exceeding 200% three times in that stretch.

Platforms pioneering AI in customer service
Several platforms incorporate AI to enhance customer experience in digital environments, which is crucial as we move toward a metaverse-driven future. Companies like Zendesk and Salesforce are implementing AI chatbots to handle basic customer queries, allowing human agents to focus on complex issues. Similarly, AT&T’s “Ask AT&T” platform provides an internal AI assistant to optimize customer service workflows, which could be adapted for the metaverse to offer real-time assistance in digital spaces.

Other platforms, such as HubSpot and Intercom, provide hybrid customer service models where AI handles simple inquiries and escalates complex cases to human representatives. These hybrid systems could play an essential role in ensuring that users receive the benefits of both efficiency and empathy in virtual environments. In the metaverse, where immediate responses are expected, this balance between AI and human support will be even more critical to user satisfaction.

The future outlook and remaining challenges
While significant investments and experimentation are propelling the metaverse forward, its future remains uncertain amidst numerous challenges. To achieve mainstream adoption, more cost-effective VR and AR devices are essential, alongside ensuring interoperability across different digital ecosystems. Additionally, addressing data privacy, security, and digital wellness concerns is crucial for building user trust.

Regulators and enterprises must collaborate to create safe and inclusive digital spaces. If technological, ethical, and societal hurdles are overcome, the metaverse has the potential to play a pivotal role in our online lives without overshadowing our physical reality.

The journey toward a fully realized metaverse is ongoing, filled with both opportunities and obstacles that will shape its evolution in the years to come.

CEO Jensen Huang said in the company's latest earnings report that the next-generation AI chip called Blackwell is in "full production." Finance chief Colette Kress said the company is on track for "several billion dollars" of Blackwell revenue in its fourth quarter.

"Every customer is racing to be the first to market," Kress said. "Blackwell is now in the hands of all of our major partners, and they are working to bring up their data centers."

While growth is expected to remain robust for a company of Nvidia's size, the inevitable slowdown is coming. Analysts are projecting year-over-year deceleration over the next several quarters with growth dipping into the mid-40s by the second half of next year.

Nvidia counts on an outsized amount of revenue from a handful of tech giants, so any economic swings present significant risk to investors.

That helps explain why Nvidia likes to tell Wall Street about the extensive roster of companies that are building new AI services and "are racing to accelerate development of these applications with the potential for billions of agents to be deployed in the coming years," Kress said on the earnings call.

DEI, a set of business practices aimed at diversifying the workforce, has been criticized by conservatives as a means to implement reverse discrimination that disadvantages whites and de-emphasizes merit.

Some of the biggest players in corporate America enthusiastically embraced DEI following the May 2020 police-involved death of George Floyd in Minneapolis.

But public pressure campaigns by right-leaning influencers such as Robby Starbuck have spurred firms to roll back DEI policies.

Walmart, Ford Motor Company, Molson Coors, Jack Daniel’s parent company Brown-Forman, Boeing and Harley Davidson were among some of the major brands that have cut back on DEI initiatives in recent months.

Wikipedia, the free, online collaborative encyclopedia that boasts a whopping 4 billion visits to its website per month, has long maintained that it is politically neutral. But studies have found that it is plagued by a left-leaning bias.

Earlier this year, Wikipedia removed reference to Vice President Kamala Harris as a “border czar” in one of its entries after President Joe Biden bowed out of the race and endorsed her to run against Trump.

Harris and her supporters denied that she was a “border czar” despite the fact that Biden assigned her the task of overseeing the administration’s migrant policies during his presidency.

In June, a report by the libertarian Manhattan Institute found that Wikipedia has a “mild to moderate tendency…to associate public figures ideologically aligned right-of-center with more negative sentiment than public figures ideologically aligned left-of-center.”

Mega hydropower project in Tibet
China plans to build this mega hydropower project over the Yarlung Tsangpo River across the Tibetan plateau. The sacred river is home to the deepest canyon on the planet, with a vertical difference of 25,154 feet (7,667 meters). The Chinese government intends to use this to its advantage and generate nearly 300 billion kilowatt hours (kWh) of hydropower from the project, sufficient to meet the energy needs of 300 million people every year.

The river’s lower reaches have a vertical drop of 6,561 feet (2,000 m) over 31 miles (50 km). This alone has the potential to generate 70 million kilowatts of power, authorities have previously said about the project site.

To harness this energy, though, will require China to drill 2.5 -12.5 mile (4-20 km) long tunnels in the Namcha Barwa mountain that will divert half the river’s flow at about 2,000 cubic meters per second.

Wikipedia articles about right-leaning public figures also tend to have more “prevailing associations of negative emotions” such as anger and disgust — in contrast with entries about left-leaning public figures that are more likely to include “positive emotions” such as joy, according to the author’s study.

In May 2012, the American Economic Review published a study which examined 28,000 articles about US politics on Wikipedia. According to the researchers, “Wikipedia’s political entries lean Democrat on average.”

Larry Sanger, who played a role in the launch of Wikipedia alongside Jimmy Wales in 2001, has said that “nobody should trust Wikipedia” because its army of left-leaning volunteers cut out any news that doesn’t fit their political agenda.

Risks and opportunities
While risks are inherent in large-scale projects, this mega power project will be situated at a boundary of a tectonic plate, making it prone to earthquakes if they occur in the future. The geology is also unlike that of the plains making it a complicated project to execute.

The builders of the project plan to use data from extensive geological explorations and technological advances to ensure that construction is backed by science and is of the highest quality, a South China Morning Post report said.

The project will also be an opportunity to develop more wind and solar energy projects in the vicinity and add to China’s clean energy output. Additionally, ecological protection is also be prioritized, the SCMP report added.

A likely construction start date or details of the exact site of the project have not been disclosed yet.

In 2021, Sanger told the news site Unherd.com that he agreed with the claim that “teams of Democratic-leaning volunteers” remove content that isn’t to their liking — including the revelations in the Hunter Biden laptop scandal that was first exposed by The Post.

“Can you trust it to always give you the truth? Well, it depends on what you think the truth is,” Sanger said.

Wales and Sanger have been at odds over the site’s founding. Sanger claimed that he co-founded the online encyclopedia alongside Wales.

Wales, for his part, has said that Sanger was a subordinate employee and not a co-founder.

!summarize

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While the S&P 500 index has gained 27% in 2024, Oracle shares have shot up 63%, lifting Ellison's net worth to over $217 billion, according to Forbes, behind only Tesla CEO Elon Musk and Amazon founder Jeff Bezos among the world's richest people.

At 80, Ellison is a senior citizen in the tech industry, where his fellow billionaire founders are generally decades younger. Meta CEO Mark Zuckerberg, whose net worth has also ballooned past $200 billion, is half his age.

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The other standout theme that's driven this year's outperformers is crypto. Starting with the launch of spot bitcoin exchange-traded funds in January, cryptocurrencies had a big 2024, punctuated by Donald Trump's election victory, which was funded heavily by the crypto industry. A number of stocks tied to crypto got a big boost.

With four trading days left in the year, here are the five best-performing U.S. tech stocks of 2024 among companies valued at $5 billion or more.

Fresh fuel drum is designed to preheat fuel assemblies
The company has revealed that two intermediate heat exchangers, each weighing 38 tons and measuring 29-ft (9 meters) in height and 8-ft (2.5 meters) in diameter, were installed in accordance with the design specifications.

The equipment was secured on support rings with a maximum deviation of 1 millimeter per meter from the horizontal. Additionally, drums for fresh and spent fuel, weighing 16 tons each, were positioned in their designated locations, according to Rosatom.

Sergey Kiverov, Deputy Director for Facilities under Construction at Research Institute of Nuclear Reactors (RIAR), stated that the fresh fuel drum is designed to preheat fuel assemblies in an inert gas atmosphere prior to loading them into a reactor core.

The initial hype and investments by tech giants
Tech companies, especially Meta, have pledged billions of dollars to build the metaverse. Their goal is to create a virtual construct where augmented and virtual systems seamlessly integrate. Mark Zuckerberg envisions the metaverse as the next evolution in social technology, aiming to revolutionize digital social interactions in unprecedented ways.

Major multinational corporations like Apple, Google, and Microsoft are also heavily investing in augmented and virtual reality (AR/VR). Apple’s Vision Pro, for instance, aims to deliver immersive and spatial computing experiences of superior quality. Despite the excitement and substantial investments, these companies face significant technical and social hurdles, preventing the metaverse from fully functioning as envisioned.

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No. Markets are separate from development.

The Tesla mogul, and key adviser to President-elect Donald Trump, was responding to a post by the right-leaning commentator “Libs of TikTok,” who shared a pie chart that showed 29% of Wikipedia’s $177 million budget for 2023-24 was targeted for “equity” and “safety & inclusion.“

The Wikimedia Foundation site said that it set a goal of spending $51.7 million in its budget: 17.6% ($31.2 million) on equity, and 11.6% ($20.5 million) on safety and inclusion. Infrastructure got the bulk of the $177 million with 48.7% ($86.1 million), followed by 22.2% ($39.2 million) on effectiveness.

“Supporting equity represents the second largest part of our programmatic work, with grants and Movement support representing the majority of the budget within the equity goal,” according to the nonprofit.

With its eye on the 2060 deadline to achieve net zero emissions, China has been working diligently to reduce its dependence on fossil fuels. Interesting Engineering has previously reported on the multiple wind and solar energy projects that have started in recent months while also highlighting the push for nuclear power plants to generate carbon-free energy.

China’s ambitions in hydroelectric energy were evident as early as 2008 when the Three Gorges Dam, the world’s biggest dam, was completed. Power generation began in 2012 and currently supplies clean energy to over five million households every month.

However, China’s next project is so ambitious that its power generation capacity upon completion will be thrice that of the Three Gorges Dam plant.

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1. Quantum-Resistant Cryptography: Quantum-resistant cryptography can be used to secure AI model data and ensure that it remains confidential and protected from unauthorized access.
2. Autonomous AI: Autonomous AI systems can be designed to operate independently, making decisions based on predefined rules and objectives. This can be achieved through the use of decentralized AI platforms and blockchain-based decision-making protocols.

Tokenized AI

Tokenized AI refers to the use of blockchain-based tokens to represent AI-generated assets, such as digital art, music, or text. This can create new revenue streams for creators and provide a decentralized way to monetize AI-generated content.

1. Non-Fungible Tokens (NFTs): NFTs can be used to represent unique AI-generated assets, such as digital art or music. NFTs can be traded on blockchain-based marketplaces, providing a decentralized way to monetize AI-generated content.

1. AI-Generated Content: AI-generated content, such as text, images, or music, can be tokenized and sold on blockchain-based marketplaces. This can provide a new revenue stream for creators and enable the creation of decentralized, community-driven content ecosystems.
2. Decentralized Marketplaces: Decentralized marketplaces can be created on blockchain networks, enabling creators to sell their AI-generated content directly to buyers. This can provide a more equitable distribution of revenue and reduce the need for intermediaries.

AI-driven Smart Contracts

AI-driven smart contracts refer to the use of AI algorithms to optimize and automate the execution of smart contracts on blockchain networks. This can lead to more efficient and secure transactions, as well as improved decision-making.

1. Predictive Analytics: Predictive analytics can be used to optimize smart contract execution, predicting the likelihood of successful transactions and identifying potential risks and opportunities.
2. Machine Learning: Machine learning algorithms can be used to improve smart contract execution, enabling the creation of more sophisticated and adaptive decision-making protocols.
3. Autonomous Execution: Autonomous execution protocols can be created to automate smart contract execution, reducing the need for intermediaries and improving the overall efficiency of blockchain transactions.

Edge AI

Edge AI refers to the use of blockchain technology to deploy AI models on edge devices, enabling real-time decision-making and reducing latency.

1. Decentralized Edge Computing: Decentralized edge computing can be used to deploy AI models on edge devices, enabling real-time decision-making and reducing latency.
2. IoT Integration: IoT devices can be integrated with blockchain networks to enable the deployment of AI models on edge devices, improving the overall efficiency of IoT applications.
3. Security: Blockchain-based security protocols can be used to secure AI model data on edge devices, ensuring that sensitive information remains confidential and protected.

AI-powered Identity Verification

AI-powered identity verification refers to the use of AI algorithms to verify identities on blockchain networks. This can provide more accurate and secure verification processes, reducing the risk of identity theft and cybercrime.

1. Biometric Authentication: Biometric authentication protocols can be used to verify identities on blockchain networks, providing a more secure and accurate way to authenticate individuals.
2. Machine Learning: Machine learning algorithms can be used to improve identity verification, enabling the creation of more sophisticated and adaptive verification protocols.
3. Decentralized Identity Management: Decentralized identity management systems can be created to manage identity verification, enabling individuals to control their own identity data and reducing the risk of identity theft.

Decentralized Data Storage

Decentralized data storage refers to the use of blockchain technology to store and share data on decentralized networks. This can provide a secure and transparent way to store and share data, reducing the risk of data breaches and cybercrime.

1. InterPlanetary File System (IPFS): IPFS can be used to store and share data on decentralized networks, providing a secure and transparent way to store and share data.
2. Decentralized Storage Protocols: Decentralized storage protocols can be used to store and share data on blockchain networks, enabling the creation of decentralized data storage solutions.
3. Data Encryption: Data encryption protocols can be used to protect data stored on decentralized networks, ensuring that sensitive information remains confidential and protected.

Predictive Maintenance

Predictive maintenance refers to the use of AI algorithms to predict and prevent equipment failures on blockchain networks. This can improve overall efficiency, reduce downtime, and improve overall performance.

1. Machine Learning: Machine learning algorithms can be used to predict equipment failures, enabling the creation of more sophisticated and adaptive predictive maintenance protocols.
2. Real-time Monitoring: Real-time monitoring protocols can be used to monitor equipment performance, enabling the creation of more accurate and efficient predictive maintenance protocols.
3. Decentralized Maintenance Scheduling: Decentralized maintenance scheduling protocols can be created to schedule maintenance, enabling the creation of more efficient and effective predictive maintenance solutions.

AI-driven Content Moderation

AI-driven content moderation refers to the use of AI algorithms to moderate content on blockchain networks. This can provide more effective and transparent content moderation, reducing the risk of misinformation and cybercrime.

1. Natural Language Processing (NLP): NLP can be used to moderate content, enabling the creation of more sophisticated and adaptive moderation protocols.
2. Machine Learning: Machine learning algorithms can be used to improve content moderation, enabling the creation of more accurate and efficient moderation protocols.
3. Decentralized Moderation Protocols: Decentralized moderation protocols can be created to moderate content, enabling the creation of more transparent and effective content moderation solutions.

Autonomous AI

Autonomous AI refers to the use of AI algorithms to make decisions independently, without human intervention. This can improve overall efficiency, reduce downtime, and improve overall performance.

1. Machine Learning: Machine learning algorithms can be used to create autonomous AI systems, enabling the creation of more sophisticated and adaptive decision-making protocols.
2. Autonomous Decision-Making: Autonomous decision-making protocols can be created to enable autonomous AI systems to make decisions independently, without human intervention.
3. Decentralized Autonomous Organizations (DAOs): DAOs can be created to enable decentralized, autonomous decision-making, enabling the creation of more transparent and effective autonomous AI systems.

AI-generated Governance

AI-generated governance refers to the use of AI algorithms to create governance protocols for decentralized networks. This can provide more transparent and decentralized decision-making processes, enabling the creation of more effective governance solutions.

1. Machine Learning: Machine learning algorithms can be used to create governance protocols, enabling the creation of more sophisticated and adaptive governance solutions.
2. Autonomous Governance: Autonomous governance protocols can be created to enable decentralized, autonomous decision-making, enabling the creation of more transparent and effective governance solutions.
3. Decentralized Governance Protocols: Decentralized governance protocols can be created to manage governance, enabling the creation of more transparent and effective governance solutions.

Examples and Use Cases

1. SingularityNET: SingularityNET is a decentralized AI marketplace that enables the creation, deployment, and management of AI models on a blockchain-based platform.
2. Aion: Aion is a blockchain-based AI platform that enables the creation, deployment, and management of AI models.
3. Hedera Hashgraph: Hedera Hashgraph is a blockchain platform that enables the deployment of AI models and provides a secure and decentralized way to store and share AI-generated data.
4. Decentralized Finance (DeFi): DeFi is a blockchain-based platform that enables the creation of decentralized, community-driven finance ecosystems.
5. Non-Fungible Tokens (NFTs): NFTs are blockchain-based tokens that represent unique digital assets, such as digital art, music, or text.
6. AI-generated Content: AI-generated content can be tokenized and sold on blockchain-based marketplaces, providing a decentralized way to monetize AI-generated content.

Challenges and Limitations

1. Regulatory Frameworks: The regulatory landscape for AI and blockchain is still evolving and may create uncertainty and challenges for developers and users.
2. Scalability: Blockchain networks can be slow and limited in their scalability, which can hinder the widespread adoption of AI and blockchain applications.
3. Interoperability: The lack of standardization and interoperability between different blockchain networks and AI platforms can create challenges for seamless integration and deployment.

1. Security: Blockchain-based security protocols can be vulnerable to attacks and exploits, which can compromise the security and integrity of AI-generated data.
2. Transparency: The lack of transparency in AI decision-making processes can make it difficult to understand and trust AI-generated decisions.

Overall, the future of AI and blockchain holds significant promise, but it also requires careful consideration of the challenges and limitations associated with these emerging technologies.

Display and Design

• 📊 The iPad Mini 7 and 6 have an 8.3-inch liquid Retina display with a 1488 x 2266 resolution, while the iPad Mini 5 has a 7.9-inch Retina display with a 1536 x 2048 resolution.
• 📈 All three iPad Minis have a 500-nit brightness and 60Hz refresh rate, making them suitable for watching videos and browsing the web.
• 📊 The iPad Mini 5 has a home button with Touch ID, while the iPad Mini 6 and 7 have Touch ID on the power button.

Performance and Battery Life

• 📈 The iPad Mini 5 has 3GB of RAM, the iPad Mini 6 has 4GB, and the iPad Mini 7 has 8GB, with the A12 Bionic, A15 Bionic, and A7 Pro chips, respectively.
• 📊 The iPad Mini 6 lasted 7.5 hours, the iPad Mini 7 lasted 6 hours, and the iPad Mini 5 lasted 5.5 hours in a battery drain test.
• 📊 The iPad Mini 5 still receives software updates, including the latest iPad OS 18, despite being an older model.

Cameras and Speakers

• 📸 The iPad Mini 5 has an 8-megapixel rear camera and a 7-megapixel front camera, while the iPad Mini 6 and 7 have 12-megapixel rear and front cameras.
• 📊 The iPad Mini 6 and 7 can record 4K video, while the iPad Mini 5 is limited to 1080p.
• 📢 The iPad Mini 5 has two speakers on one side, while the iPad Mini 6 and 7 have one speaker on each side, with the latter having a better-balanced sound.

Connectivity and Accessories

• 📈 The iPad Mini 6 and 7 have USB-C, making it easier to connect external drives and dongles, while the iPad Mini 5 has a Lightning port.
• 📊 All three iPad Minis support AirPlay, AirDrop, and video out, and are compatible with various Apple Pencils, including the first-gen, second-gen, and Apple Pencil Pro.

Initial Thoughts on the ThinkPad T440p

• 📊 The ThinkPad T440p has an i5 4210m CPU, 8 GB of DDR3 RAM, and a 60 GB Kingston SSD.
• 📝 The author notes that there are two versions of the T440p, one with a GPU and one without, and their model does not have a GPU.
• 💻 The author installed Arch Linux on the laptop, which improved performance, and added more RAM and a 256 GB SSD.

Upgrading the CPU

• 📈 The author upgraded the CPU to an i7 4910mq, which has four cores, eight threads, and a 47-watt TDP.
• 📊 The new CPU has a base clock speed of 2.9 GHz and a turbo boost speed of 3.9 GHz.
• 💡 The author mentions that the i7 4980hq CPU is also an option, which has a higher clock speed and better graphics.

Customizability and Modular Design

• 🧩 The ThinkPad T440p has a highly modular design, allowing for easy upgrades and customization.
• 📈 The author can upgrade the RAM, storage, and CPU, as well as add a fingerprint reader and replace the screen.
• 🛠️ The laptop's custom BIOS options, such as Coreboot and Libreboot, also appeal to the author.

Gaming Performance

• 🎮 The author tests the laptop's gaming performance with CS 1.6, CS: Source, and Slime Rancher.
• 📊 The laptop achieves high frame rates, with CS 1.6 running at 100 FPS and CS: Source running at 202 FPS.
• 🤔 The author notes that the laptop's performance is impressive, especially considering its age and price.

Conclusion

• 📝 The author is satisfied with the ThinkPad T440p's performance and customizability.
• 📊 The laptop's ability to run games smoothly and handle daily tasks with ease makes it a great value for its price.
• 👍 The author recommends the ThinkPad T440p to those looking for a budget-friendly and customizable laptop.

Introduction and Specifications

• 📊 The Raspberry Pi 500 comes with a 2.4 GHz quad-core Arm CPU, 8 gigs of RAM, dual-band Wi-Fi, Bluetooth 5.0, and a 32 GB card.
• 🛍️ It is available as a base unit for $90 or as a kit that includes additional accessories for $120.
• 📈 The CPU and GPU can be overclocked for a performance boost, with the CPU going up to 2.9 GHz and the GPU up to 900 MHz.

Performance and Overclocking

• 🚀 Overclocking can be done by editing the boot firmware config.txt file, allowing for a nice performance boost over the stock clocks.
• 📊 The Pi 500 can handle a 10-minute CPU stress test and 1080p video playback with a maximum temperature of 63°C, eliminating concerns about thermal throttling.
• 💻 The giant heat plate inside the Pi 500 helps in heat extraction from the CPU.

Real-World Usage

• 🌐 Web browsing and 1080p video playback are smooth experiences, even at stock clocks, making the Pi 500 suitable for general use.
• 📄 Document editing and spreadsheet creation can be done using the LibreOffice suite, which is free, open-source, and feature-rich.
• 📸 Photo editing is also possible with an open-source image editor that offers tools similar to Photoshop, although with some limitations on the AI side.

Gaming and Emulation

• 🎮 Emulators like PPSSPP work well on the Pi 500, allowing for the playback of games from various consoles, including the PSP.
• 🚀 The Steam Link application enables game streaming from a PC or laptop to the Pi 500, offering a great gaming experience, especially with a decent router.

Conclusion

• 👍 The Raspberry Pi 500 is a capable and affordable desktop PC option for those who primarily use their computer for web browsing, document editing, photo editing, and some light gaming or emulation.
• 🛍️ For new users, the $120 kit is recommended, as it includes everything needed to get started, except for a display.

History and Development of Color E-Ink

• 📆 The first color e-ink technology was introduced almost a decade ago with Ian Triton 1 and 2.
• 📈 Cido 3 has improved significantly over Cido 1 and 2, with 150 PPI for color resolution and a 25% increase in frontlight display brightness.
• 📊 The frontlight display has undergone revision, making it about 25% brighter and improving color appearance.

Companies Adopting Color E-Ink Technology

• 📚 Companies like Pocketbook, Amazon, Rakuten, Cobo, and Remarkable have adopted color e-ink technology.
• 📈 Kobo and Amazon have successfully implemented color e-ink technology in their devices, such as the Kobo Libra Color and Kindle Colorsoft.
• 📊 These companies have achieved excellent color saturation due to their significant engineering power and financial resources.

Companies Adopting Color E-Ink Technology

• 📚 Companies like Pocketbook, Amazon, Rakuten, Cobo, and Remarkable have adopted color e-ink technology.
• 📈 Kobo and Amazon have successfully implemented color e-ink technology in their devices, such as the Kobo Libra Color and Kindle Colorsoft.
• 📊 These companies have achieved excellent color saturation due to their significant engineering power and financial resources.

Types of Color E-Paper Technology

• 📝 Cido 3 can display 4,096 colors and has a 25% increase in frontlight display brightness.
• 📈 Gallery 3 can display 50,000 different colors, but only one company, Remarkable, has adopted this technology.
• 📊 Gallery 3 looks visually the best, but Kido 3 is the industry standard.

Benefits and Drawbacks of Color E-Readers

• 📚 Color e-readers offer enhanced visual appeal, vibrant graphics, and a richer reading experience.
• 📊 However, they have resolution limitations, are more expensive than black and white e-readers, and may have a washed-out background.
• 📈 The background of color e-readers may not look as gray as black and white e-readers, and the text may not be as sharp.

Future of E-Readers

• 📆 Cido 4 is currently in development and is expected to be released or announced in 2025.
• 📊 The new technology is expected to increase PPI from 150 to 200 or more and improve performance by 25-30%.
• 📈 The future of e-readers is uncertain, with some companies investing heavily in research and development, while others are still undecided about adopting color e-ink technology.

Use Cases of C Language

• 🤖 Most election vote counting machines use C language due to its low-level nature and direct access to hardware components.
• 🤖 Although robot companies often develop their own programming languages, many robot-specific languages follow similar syntax as C language.
• 🏥 C language is used in medical use cases, such as Blackberry's QX operating system for microkernels, which is built using C and C++.
• 🖥️ Major operating systems like Linux, Windows, and Mac OS are written in C, with around 1.8 billion computers using them worldwide.
• 🚀 NASA uses C language for space technology, including the Mars Curiosity Rovers flight software, which was launched with a $2.52 billion budget.
• 🚗 C language is used in automotive systems, including anti-lock braking systems and engine control units.
• 🛫️ The F22 Raptor's flight control software is also written in C.
• 🚢 An maritime chart plotter and navigation software, openCPN, is developed using C language.

Conclusion

• 👋 The C language has a wide range of applications, from road to water to air and space, but it cannot control humans, who are only controlled by their own free will.

https://www.hindustantimes.com/htcity/wellness/smart-rings-the-future-of-wearable-technology-101735110819999-amp.html

CoPilot+ AI Features

• 🤖 The CoPilot+ AI features are powered by an onboard neural processing unit and include a local AI chatbot, Co-Creator, Windows Studio Effects, live captions, and recall AI.
• 📝 The Co-Creator feature generates live AI images based on drawings, but can be finicky and sometimes doesn't understand what's being drawn.
• 📞 The live captions feature translates 44 languages into English in real-time, with a 1-2 second delay, and works well with YouTube videos and live video calls.
• 🚫 The recall AI feature was not testable due to controversy and potential privacy concerns, but has an option to toggle off and delete collected data.

Performance and Battery Life

• 📈 The Surface Pro 11 with the X Elite processor scored 13,097 on the Geekbench 6 multicore test, outperforming the MacBook Air M3 by 13%.
• 📊 However, the MacBook Air M3 performed better on single-core tests, which are more important for average users.
• 🕒 The Surface Pro 11's battery life is around 12-14 hours, plenty for mixed day usage, but may not last as long as the MacBook Air M3.

Design and Display

• 📺 The 13-inch 120Hz OLED display with HDR and Dolby Vision IQ is incredibly good, with ultra-deep blacks, detail, and brightness.
• 📸 The 10-megapixel rear camera is available but not particularly special, and the limited ports (only two USBC ports) may require a dock for a full desktop setup.
• ⌨️ The flex keyboard is backlit and decent to type on, with a surprisingly responsive touchpad, making it a great option for a 2-in-1 detachable keyboard.

Final Thoughts

• 🤔 The CoPilot+ AI features are a letdown and more marketing than substance, but the Surface Pro 11 is still an incredible portable computer with great battery life and performance.
• 📈 If you're always on the road, the Surface Pro 11 might be a better choice than the MacBook Air, but for now, the reviewer will stick with his MacBook Air due to app compatibility issues.

First Impressions

• 📦 The Surface Pro 11 comes in a sapphire blue color with a glossy OLED display, which looks great and feels sturdy in hand.
• 🖌️ The new flex keyboard is a key part of the Surface Pro 11, with a slot to house the Surface slim pen, and it works well as both a laptop and tablet.
• 📊 The device is super versatile and portable, even more so than the MacBook Air, making it a great option for those on-the-go.

LLaMA 3.3 Capabilities

• 🤖 LLaMA 3.3 is outperforming proprietary models like Gemini's large language model, Anthropics Claw 3.5, and Open AI GPT 4 Omni in smaller categories.
• 💸 LLaMA 3.3 is 25 times cheaper than GPT 4 Omni, with a cost of $0.10 for 1 million input tokens compared to GPT 4 Omni's $22.50.
• 📊 LLaMA 3.3 charges a 40-cent rate for 1 million output tokens, whereas GPT 4 Omni charges $10.

LLaMA Coder Framework

• 📈 LLaMA Coder is an open-source framework that utilizes LLaMA 3.3 to generate web apps and full-stack applications with a single prompt.
• 📦 LLaMA Coder offers features like installing packages and autonomous command execution, making it a great alternative to other apps.
• 🌐 The framework can be accessed online through the Together AI API or installed locally.

Using LLaMA Coder

• 💻 To install LLaMA Coder locally, users need to have G, Python, and VS Code installed, and then clone the repository and configure the APIs.
• 📝 Users can generate web apps and full-stack applications using LLaMA Coder, with the option to enable Shaden packages for frontend design.
• 📊 LLaMA Coder can generate code for various applications, including a simple frontend website and a mobile-friendly expense tracker web app.

Example Use Case

• 📊 The video demonstrates generating a mobile-friendly expense tracker web app using LLaMA Coder, showcasing its capabilities and ease of use.
• 📈 The app includes features like a homepage, dashboard, and settings page, with a clean and modern UI.

Model Features and Performance

• 📊 The model has a context length of 128k, which is a significant improvement over previous models.
• 🚀 The Llama 3.3 model is claimed to have 405b quality in a smaller model, making it a notable release.
• 📈 The model's performance is impressive, with the ability to handle complex questions and tasks with ease.
• 🤔 The model's ability to understand and respond to nuanced questions, such as the ethics question, is a significant improvement over previous models.

Testing and Evaluation

• 📝 The model was tested with various questions, including a flippy block extreme question, an ethics question, and a precision static counting question.
• 📊 The model performed well on these questions, demonstrating its ability to handle complex tasks and think critically.
• 🤔 The model's performance on the ethics question was particularly impressive, as it was able to provide a well-reasoned and thoughtful response.

Creativity and Problem-Solving

• 🎨 The model was asked to create a recipe using specific ingredients, and it was able to come up with a creative and delicious-sounding dish.
• 🏋️‍♂️ The model was also asked to create a workout plan for a client with specific goals and constraints, and it was able to provide a reasonable and safe plan.
• 🤔 The model's ability to think creatively and come up with innovative solutions is a significant improvement over previous models.

Conclusion and Future Developments

• 🚀 The Llama 3.3 model is a significant improvement over previous models, with its ability to handle complex questions and tasks with ease.
• 🤔 The model's performance on various questions and tasks demonstrates its potential for real-world applications.
• 📈 Future developments, such as the potential release of a Llama 3.3 Vision model, are exciting and may further improve the model's capabilities.

Sponsor and Introduction

• 📣 The video is sponsored by Ninj Chat, an all-in-one AI platform offering access to multiple models and tools.
• 🤔 Cerebrus Coder was previously mentioned in a Valt video as a simple inner app, now developed into a proper, fully-free project.

Cerebrus Coder Features

• 🚀 Cerebrus Coder is super fast due to its use of Llama 3.3 via Cerebras, an AI inference platform with open-source models and a free API.
• 💻 It can generate apps in seconds, with examples including a to-do app and a game of life, showcasing its speed and capability.
• 📈 Although it can only generate HTML, CSS, and JS one-page code, it's valuable for simple apps or components and allows version sharing.

Using Cerebrus Coder with Your Own API Keys

• 🔒 To avoid rate limits, you can fork Cerebrus Coder and use it with your own API keys from Cerebras, which are free and have generous rate limits.
• 📝 To do this, click the Fork button on Valt, add your API key to your profile environment variables, and then access your forked version of Cerebrus Coder.
• 📁 You can also use it locally by copying the code and running it, providing flexibility in usage.

Limitations and Future Possibilities

• 🤔 While it can't render React code directly, it can generate code that you can then render yourself or use with other tools like Klein or AER.
• 🚀 The Llama 3.3 model's capabilities make Cerebrus Coder one of the most amazing coders, with potential for further development and application.

Coding Tests

• 📝 The model is asked to create Python code to upload a wave file and convert it to MP3, which it accomplishes successfully.
• 🖥️ The model is then asked to write code for a calculator with all buttons and functionalities, and it produces a fully functional calculator.
• 🎮 The model is challenged to create the classic snake game in Python, and it generates a working game that tracks the score and handles everything smoothly.
• 📱 The model is asked to write HTML code for a chat bubble, but it fails to produce a functional and visually appealing result.

Logic and Reasoning Tests

• ⚖️ The model is asked to find the minimum number of weigh-ins needed to find the heavier ball among eight identical looking balls, and it provides the correct answer.
• 📏 The model is then asked to measure exactly 4L using a 5L jug and a 3L jug without any additional tools, and it provides the correct reasoning.
• 🔄 The model is given a spatial reasoning question about a coin in a jar, and it correctly determines the coin's final location.

Sequence and Math Tests

• 📝 The model is given a sequence of letters and asked to identify the next one, but it provides an incorrect answer.
• 🛍️ The model is asked to calculate the cost of seven t-shirts with a buy two get one free offer, and it provides the correct calculation.
• 🏨 The model is then asked to calculate the final cost of a hotel stay with a room rate, tax, and cleaning fee, and it provides the correct calculation.
• 🛠️ The model is given a math question about a cubic block of wood floating in oil and water, but it fails to calculate the mass and density correctly.

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Episode 57 of the AI Talk Podcast: Key Developments in Artificial Intelligence

Welcome to the 57th episode of the AI Talk Podcast, your weekly news source for the latest in Artificial Intelligence. This week, we have an array of exciting updates, particularly focusing on major advancements from tech giants such as Google and OpenAI.

Google’s Gemini 2.0 and Innovations in AI

The episode opens with an in-depth discussion of Google's latest AI model, Gemini 2.0, which appears to be a significant leap in their offerings. After a prolonged period of development with Gemini 1.5, the new model is set to take the stage, showcasing competitive features that align with those of rival companies.

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Google has introduced real-time streaming capabilities, allowing users to share their screens with Google’s AI while querying it about the displayed content. That’s not all; they’ve also unveiled Vi 2, a video AI comparable, if not superior, to existing technologies in terms of user ratings.

OpenAI’s Latest Features

The transcript delves into the recent developments from OpenAI as well. Following their 12-day launch series, OpenAI has announced the rollout of ChatGPT on Apple devices, highlighting a new advanced voice mode that integrates video functionalities. ChatGPT is not only capable of processing visual inputs but also allows users to interact with it in real-time, a functionality described as one of the most exciting news of the week.

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Additionally, OpenAI has made improvements to its search capabilities—previously very advanced—which are now even more accessible, including for free users. The long-awaited real-time voice search feature is also introduced, greatly enhancing user interaction.

Developer Updates and New Tools

For developers, OpenAI has liberated the One API, allowing for enhanced application building and new tuning methods for real-time API interactions. Google also unveiled “Whisky,” a new image creation tool aimed at reducing the complexity of prompt crafting by allowing users to combine different images creatively.

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The episode further covers Microsoft’s introduction of their Phi 4 language model, which is smaller yet more powerful, emphasizing efficiency and performance without the need for vast parameters, making AI accessible to more users.

Image and Video Innovations

The podcast continues to explore Google’s efforts in video and image generation, with Labs 2.0 providing robust functionality where users can create videos based on photographs. This tool facilitates creative storytelling and content creation in innovative ways.

The hosts discuss the increasing competitiveness in the video AI sphere, noting advances in models like CULK and the Cling video generator from China, which, though unique in their offerings, fall short of Google’s ambitious goals.

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Ethical Challenges and Industry Dynamics

As the conversation evolves, ethical considerations regarding the usage of AI models are revisited. Elon Musk and Mark Zuckerberg’s efforts to prevent OpenAI from transitioning to a for-profit model are highlighted, signaling an ongoing debate over transparency and intentions within AI development.

Summation and Community Invitation

As the episode draws to a close, the speaker invites listeners to join his rapidly growing AI community, emphasizing the educational resources available and the potential for networking in the AI space.

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The discussion encapsulates the dynamic pace of advancements in AI technology, encouraging listeners to engage deeply and stay educated in the rapidly shifting landscape. Tune in for more updates and share this episode with those eager to learn about AI developments!

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Episódio 56 - Papo de Iá: Inovações em Inteligência Artificial

Sejam bem-vindos ao 56º Episódio do podcast Papo de Iá, com Danilo Gato, que traz novidades semanais sobre Inteligência Artificial (IA). Nesta edição, o foco será nos "12 Dias de Lançamentos da OpenAI", que promete revolução em diversos setores. Acompanhe as principais novidades deste evento.

Os 12 Dias de Lançamentos da OpenAI

A OpenAI anunciou uma série de 12 lançamentos em um período de duas semanas. Até agora, quatro desses lançamentos já ocorreram, e eles incluem:

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• OW One e a assinatura do ChatGPT Pro: Uma versão aprimorada do OW One foi lançada, sendo mais inteligente do que a versão anterior, já disponível para o público. O ChatGPT Pro, que oferece mais recursos, tem um custo de US$ 200 por mês, oferecendo acesso ilimitado e sem limitações.

• Reinforcement Fine Tuning: Este sistema permite que os usuários façam ajustes contínuos ao modelo através de supervisão humana. A ideia é proporcionar uma interação mais dinâmica e eficaz ao treinamento do modelo.

• Sora: A tão esperada ferramenta de criação de vídeos, que promete transformar a indústria cinematográfica, já que permite a geração de vídeos a partir de comandos de texto. O retorno de profissionais como Tyler Perry e Ashton Kutcher destaca seu impacto em Hollywood.

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• Canvas da OpenAI: Um novo recurso que facilita a interação com o ChatGPT, permitindo o desenvolvimento colaborativo de texto, com edições diretas e melhorias contínuas.

CoPilot e Lançamentos da Google DeepMind

Além da OpenAI, a integração do CoPilot com navegadores significa que os usuários agora podem ter assistência visual em tempo real enquanto navegam. Isso facilita a tomada de decisões na hora de buscar informações online.

Em contrapartida, a Google DeepMind trouxe inovações significativas em previsão do tempo, prometendo uma acurácia superior e processamentos mais rápidos em comparação com modelos tradicionais.

Impactos da IA na Indústria Musical

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Um dos tópicos mais alarmantes discutidos foi como a inteligência artificial pode causar prejuízos bilionários para músicos até 2028. Músicos de estúdio e compositores enfrentam o risco de serem substituídos por softwares que podem compor músicas de maneira eficiente e rápida. A criação de músicas se tornará uma commodity, tornando essencial para os músicos começarem a construir suas audiências e se destacarem por meio da criatividade e conexão com o público.

Golpes com IA e Precauções Necessárias

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Recentemente, uma mulher foi acusada de estorquir dinheiro de mais de 300 homens na Espanha utilizando IA para simular uma influenciadora sexy. Esses eventos destacam a crescente ameaça de fraudes online usando inteligência artificial, reforçando a necessidade de cautela ao interagir virtualmente.

A Comunidade Personag do Futuro

Danilo convida os ouvintes a conhecer a comunidade Personag do Futuro, onde são oferecidas aulas, conteúdos e interações diretas com o público sobre ferramentas de IA, incluindo a recém-lançada Sora. O acesso mensal é de R$ 79,90 e promete ser uma oportunidade valiosa para quem deseja aprofundar seus conhecimentos em IA.

Conclusão

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O episódio 56 do Papo de Iá é uma análise fascinante sobre o impacto crescente da inteligência artificial em várias indústrias, desde a criação de conteúdo até os perigos de fraudes online. Acompanhar essas inovações parece ser fundamental para quem deseja se adaptar a um futuro em transformação. Fique atento para os próximos lançamentos e dicas úteis.

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OpenAI Launches Sora: A Game-Changer in Video Creation

Today marked the highly anticipated launch of OpenAI’s new tool, Sora, which is poised to revolutionize the video creation landscape. Many believe that Sora could significantly disrupt traditional Hollywood production methods, and anticipation has been building around its capabilities. This article will delve into the functionalities of Sora, access conditions, and what it means for creators and professionals in the field of artificial intelligence and video production.

Introduction to Sora

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Sora debuted during OpenAI's series of live releases showcasing new features and tools. The third day of these live demonstrations brought significant attention as the capabilities of Sora were unveiled. This video creation tool promises to enable users to generate high-quality videos easily and offers a range of features designed to inspire creators by providing a user-friendly interface and innovative editing capabilities.

Access and Subscription Plans

OpenAI has announced that Sora will be available globally, though access may be limited in certain countries with complex regulations, such as parts of Europe and the UK. The tool is part of OpenAI's ongoing commitment to making advanced technologies accessible.

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For those interested in delving deeper into Sora’s offerings, the online education platform "Profissionais do Futuro" will be hosting a dedicated class for users, highlighting how to maximize the application’s capabilities. The community membership costs R 79.90 per month and provides access to over 100 lessons across various topics, including image and video creation, data analysis, and AI-driven content generation.

User Interface and Features

Upon logging into Sora, users are presented with an accessible interface showcasing various video timelines created by the community. Sora features a streamlined process for video creation, emphasizing inspiration and collaboration among users.

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During the live demonstration, various examples of video generation were displayed. The tool allows creators to set prompts that guide the AI in producing visually engaging content based on user ideas, with the flexibility to edit on the fly.

One standout feature is the timeline editing capability, allowing users to specify various points in their video where changes should occur. If the initial output doesn’t meet expectations, Sora provides options to refine and recreate parts of the video effortlessly.

Subscription Details

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Sora offers multiple subscription tiers, including a Plus plan that allows users to create 50 videos with 1000 credits, capped at 720p resolution for five seconds. A more premium Pro plan is also available, which unlocks additional functionalities, including access to the new “Owan” model and enhanced video generation capabilities. Pricing for the Pro plan is set at R 200 per month, offering greater speed, better quality, and multiple simultaneous video generations.

Practical Demonstration

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The presenter demonstrated the Sora interface by creating a sample video. A whimsical scene was crafted featuring a cat made of fragmented glass and a mouse made of small rocks. However, due to initial restrictions on certain prompts, the tool's sensitivity to potentially harmful imagery was observed, releasing a crucial lesson for users on how to navigate the content guidelines effectively.

Overcoming these hurdles allowed the creator to ultimately generate a light-hearted scene of a cat parachuting over a coastal city. The generation process provided impressive results, showcased through a seamless blend of creative storytelling and artificial intelligence.

Conclusion

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The launch of Sora marks a significant milestone in video creation innovation, providing both amateur and professional creators a powerful tool to bring their visions to life. As Sora continues to evolve, the opportunities for creators in various fields are expected to expand, bridging gaps that once relied heavily on traditional methods.

With ongoing updates and future live sessions planned, many are eager to see what additional features will be rolled out, particularly as OpenAI continues its commitment to pushing the boundaries of what is possible in artificial intelligence. Stay tuned for more insights and reviews as the community adapts to this groundbreaking tool.

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Welcome to Episode 52 of Papo de IA

This week on Episode 52 of the Papo de IA podcast, host Danilo Gato brings you exciting developments from the world of Artificial Intelligence (AI) directly from Belém do Pará. The episode covers a range of significant topics, demonstrating how rapidly AI is evolving and impacting various sectors, including the arts, technology, and personal branding.

OpenAI Acquires Chat.com

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A major highlight of this week's news is OpenAI's acquisition of the domain chat.com for millions of dollars. This acquisition aims to enhance the visibility of their AI product, potentially indicating a shift in branding for ChatGPT. Speculation arises regarding possible rebranding that could lead to a more generalized use of the term "chat," similar to how "xerox" is commonly used for photocopying.

AI in Art: A New Frontier

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The episode also discusses the groundbreaking sale of the first painting produced by an AI robot, fetching over 1 million dollars. This painting, portraying the late Alan Turing, symbolizes a new era in the art world where AI's capabilities are being recognized and valued. The painting, titled "AI God," illustrates the capability of AI to create art in a way that mimics human creativity, raising questions about the future of artistic expression.

AI Influencers: The Perfect Body Concept

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Danilo shares insights on AI-created influencers, specifically a model named Aitana, who has gained substantial popularity and profitability, partnering with major sports brands. These influencers are carefully crafted using AI, integrating real-world imagery and settings to appear lifelike while also engaging in brand promotion. Aitana has become emblematic of the new wave where brands leverage AI personalities to cultivate a connection with consumers.

Advanced AI Technologies: Movements and Expressions

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A recent Chinese AI developed by ByteDance has demonstrated the ability to capture and replicate facial movements in high realism. This advancement signifies a leap in the realm of visual media, allowing for more dynamic content creation, potentially changing how social media influencers engage with their audiences.

The AI General Intelligence (AGI) Breakthrough

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A particularly dramatic declaration from Sam Altman, CEO of OpenAI, suggests that Artificial General Intelligence (AGI) could be achieved by 2025. This transformative technology would empower machines to think and learn like humans, magnifying the potential for innovation and problem-solving. Discussion revolves around the implications of having machines with limitless learning capabilities, which could fundamentally reshape society and human development.

AI in Music: The Beatles and Grammy Recognition

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In a remarkable intersection of technology and music, a new song from The Beatles, enhanced via AI, has received a Grammy nomination. This song's revival demonstrates how AI can restore and enhance old recordings, breathing new life into past artistry and opening avenues for new music compositions generated by artificial intelligence.

Enhanced Document Analyses with AI

The podcast highlights Claude, another AI tool that now allows users to extract information from PDFs containing images, thus improving functionality beyond text-only documents. This ensures that users can access information more seamlessly, catering to diverse needs in academic and professional sectors.

Ethical Considerations: Autonomous Weapons

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In a bleak yet significant development, discussions arise regarding the creation of autonomous weapons systems capable of independently identifying and targeting enemies without human oversight. This raises serious ethical concerns about machine decision-making in life-and-death situations, stirring debates around military strategies and controls over advanced weaponry.

AI-Powered News Interactions

The Washington Post has launched a new AI feature titled "Ask the Post AI," which allows users to interact with a knowledge base of news articles in a conversational format. This tool signifies a novel approach to news consumption, potentially changing audience interactions with media outlets.

Vatican's Embrace of AI Technology