Microsoft and Nvidia have teamed up to invest in Anthropic, marking one of the biggest alliances in the AI industry this year.

As part of the deal, Anthropic will spend $30 billion on Microsoft’s Azure cloud, tightening the competition around frontier AI models.

Nvidia is expected to invest up to $10 billion, while Microsoft will put in up to $5 billion. Both companies are joining Anthropic’s next funding round, a move analysts say is designed to reduce their dependence on OpenAI.

Satya Nadella said Microsoft will continue working with OpenAI, but the company does not want to rely on a single frontier model provider.

The partnership also deepens Nvidia’s position in the AI ecosystem. The chipmaker will work with Anthropic on next-generation hardware, including efforts tied to its Grace Blackwell and Vera Rubin platforms.

Anthropic has committed up to 1 gigawatt of compute using Nvidia systems. Industry executives estimate this setup could cost more than $20 billion.

Anthropic is now one of the fastest-growing AI companies, valued at around $183 billion and powered by strong enterprise demand.

The company expects its revenue run rate to climb to nearly $26 billion next year, supported by more than 300,000 business customers.

Follow us (@artificialintelligenceee) for everything latest from the AI world.

Source: CNBC

Polish has unexpectedly emerged as a powerhouse language for artificial intelligence. A new benchmark developed by researchers at the University of Maryland, Microsoft, and UMass Amherst shows that when AI models are pushed into long-context tasks, Polish outperforms 25 other languages, including English and Chinese. The test, called ONERULER, evaluated how well major systems from OpenAI, Google, Meta, Qwen, and DeepSeek could retrieve and synthesize information across documents stretching up to 128,000 tokens.⁠
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The results flip long-held assumptions about linguistic dominance in machine learning. English and Chinese may saturate global training data, but abundant data does not guarantee deeper comprehension. Under heavy context loads, models handled Polish with an average accuracy of 88 percent, placing English sixth and Chinese near the bottom. Slavic and Romance languages consistently scored well, hinting that inflected grammar, Latin or Cyrillic scripts, and more regular syntactic patterns may help models track meaning across long passages.⁠
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That advantage becomes even clearer in demanding “needle-in-a-haystack” tasks, where systems must surface a single buried detail from a book-length text. Polish not only held its lead but widened it, suggesting that the structure of a language can shape how effectively a model encodes relationships within sprawling inputs. Meanwhile, low-resource languages such as Swahili and Sesotho struggled, and Chinese models showed particular difficulty, revealing how tokenization and writing systems influence model behavior.⁠
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The findings arrive at a moment when Poland is investing heavily in national AI efforts, including its own large language model, PLLuM. The study underscores a broader lesson for the field: multilingual diversity is not just a cultural goal, it is a technical one, and languages with smaller global footprints may hold surprising advantages for the next generation of AI.⁠
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Source: 10.48550/arXiv.2503.01996

Sony has announced that PlayStation 4 support will begin winding down in Spring 2026, officially signaling the start of the console’s sunset phase. After more than a decade on the market, the PS4 is finally being phased out as Sony redirects its engineering efforts, online services, and developer resources toward the expanding PS5 ecosystem.

The PS4 stands as one of the best-selling and most influential consoles of all time, home to iconic games and an enormous global community. But like every generation, its servers, updates, and long-term support inevitably begin to fade.

Players will still be able to enjoy the system, but online features, updates, and select services will be gradually retired.

A true legend in gaming history — thanks for all the unforgettable memories.

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#history #ps4 #sad #trending #news #sony #photography

Swipe They say you can’t control the weather — but for Berndnaut Smilde, that’s precisely the point of his life’s work

The Dutch artist is renowned for his “Nimbus” series, in which he forms pristine, fluffy clouds inside unexpected indoor settings — from churches and castles to dungeons — by carefully manipulating temperature, humidity, and lighting. Using a blend of smoke and water vapor, he crafts these fleeting sculptures, each one lasting only a few seconds before it disappears.

What endures is a single photograph: the perfect image of each cloud in its chosen space, captured through the meticulous efforts of Smilde and his team.

(: @berndnaut)

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#history #cloud #photography #architecture #didyouknow #beautiful #storytelling #viral

Researchers at the University of Pennsylvania have sparked controversy after revealing an AI system capable of predicting personality traits, and even potential financial success, simply by analyzing people’s faces.

Flagged by The Economist, the study used headshots of 96,000 MBA graduates from LinkedIn to train an algorithm that extracted five key personality traits: openness, conscientiousness, extraversion, agreeableness, and neuroticism. The team claimed the AI could link these traits to career outcomes, with extraversion emerging as the strongest predictor of higher pay.

Critics say the findings raise serious ethical and privacy concerns, warning that such technology could lead to discrimination if used in hiring, finance, or law enforcement. Yet similar systems are already in use – AI now verifies driver’s licenses in some U.S. states and assists U.K. police in facial recognition efforts, despite notable error rates.

The researchers themselves caution that widespread adoption might push individuals to alter their appearance or digital images. Whether corporations will weaponize this data-driven judgment remains uncertain, but in a world obsessed with metrics, many fear it’s only a matter of time.

Follow us @FutureTech for more!

The future of space takes flight at Disrupt 2025!

Swipe through the Space Stage lineup, powered by @theaerospacecorporation

From @bridgitmendler’s efforts building satellite connectivity networks and Robinhood co-founder Baiju Bhatt launching Aetherflux to @trueanomaly_'s space defense tech and @vastspacestation's namesake.

Plus, this week only, you can save up to $624 on your tickets if you buy before Oct. 17. Check the link in our bio asap!

Over the past 20 years, China has reforested an area roughly equivalent to the size of Japan—about 400,000 square kilometers. This massive effort includes large-scale tree planting, desert control projects like the Three-North Shelterbelt, and ecological restoration of degraded land. As a result, China’s forest coverage has surpassed 25% of its land area.

These efforts have helped combat desertification, improve carbon capture, and support biodiversity—making China the leading contributor to global greening. However, challenges remain, such as low tree survival rates, water usage concerns, and limited biodiversity in some monoculture plantations. Despite these, the scale and impact of China’s reforestation are globally significant!

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#history #wildlife #nature #photooftheday #asia #didyouknow #news

Kraken has successfully secured a $500 million funding round, valuing the platform at $15 billion and reinforcing its status among top-tier exchanges.

The raise underscores investor confidence in Kraken’s growth trajectory and its strategy amid a competitive marketplace.

With this influx of capital, Kraken may accelerate product launches, global expansion, and infrastructure scaling efforts.

Download the Movement Market app in my bio and start launching your own memecoins

Wealth is not built overnight. It comes from small consistent actions that compound over time . Each good habit like creating a budget, paying credit cards in full, or setting up automatic savings may feel small on its own, but together they create a strong foundation for financial freedom. Building wealth is less about massive leaps and more about daily steps in the right direction.

The beauty of these steps is that they are accessible to almost everyone . You do not need to be a millionaire to start. Actions like negotiating bills, meal planning, or using cashback cards can free up money that you can redirect into assets. Over time, these choices accumulate and have a major impact on your financial stability and growth.

As you continue adding steps, you will notice your wealth building journey accelerating . Opening an investing account, buying assets, or taking advantage of high yield savings accounts can grow your money further. Eventually, these small efforts snowball into big results like being debt free, having an emergency fund, and investing consistently for the future. The earlier you start, the more powerful compounding becomes.

If you want to see how I apply these steps in real time, comment “Stocks” below and I will send you a link to my portfolio .

Which of these small steps do you already practice and which ones do you still need to work on?

Follow me @MasteringWealth for more practical strategies on personal finance, investing, and long term wealth building .

Disclaimer: This content is for educational purposes only and should not be taken as financial advice. Always do your own research or consult with a licensed professional before making financial decisions.

Zuck took the L here

The former head of Meta’s augmented reality glasses efforts announced on Monday she is joining OpenAI to lead robotics and consumer hardware, according to a post on LinkedIn. OpenAI confirmed to TechCrunch that Caitlin Kalinowski will be joining the startup.

Kalinowski is a hardware executive who began leading Meta’s AR glasses team in March 2022. She oversaw the creation of Orion, the impressive augmented reality prototype that Meta recently showed off at its annual Connect conference.

Kalinowski also led the hardware team behind Meta’s virtual reality goggles for roughly nine years. Before that, she worked at Apple, designing the hardware for MacBooks.

Read more on Kalinowski at the link in the bio

Article by Maxwell Zeff

Image Credits: NurPhoto / Contributor / Getty Images

#TechCrunch #technews #artificialintelligence #OpenAI #ChatGPT #SamAltman