News from the AI & ML world
DeeperML - #superintelligence
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Ali Azhar@AIwire
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AIwire
Meta has announced the creation of Meta Superintelligence Labs (MSL), a new division focused on long-horizon goals and foundational AI development. This strategic move consolidates Meta's core AI efforts, bringing together the Fundamental Artificial Intelligence Research (FAIR) group, the LLaMA model team, and key infrastructure units into a single entity. The lab aims to pursue the next generation of AI systems with greater focus and resources, signaling Meta's ambition to be a leader in artificial general intelligence (AGI). Alexandr Wang, former CEO of Scale AI, has been appointed as Meta's first Chief AI Officer and will co-lead MSL's research and product direction alongside Nat Friedman, former GitHub CEO. Meta is making substantial investments in compute infrastructure, including a large-scale facility equipped with over 1.3 million Nvidia GPUs, underscoring its commitment to advancing AI capabilities.
The formation of MSL represents a significant shift in Meta's AI strategy, moving from developing AI tools for short-term product features to concentrating on foundational advancements and scientific leadership. This reorganization suggests that Meta views superintelligence not as a distant aspiration, but as a near-term opportunity. Meta has been actively recruiting top AI talent, including key figures from competitors like Apple, highlighting a competitive landscape for AI expertise. The company's investment in infrastructure and its aggressive hiring strategy indicate a strong determination to lead in the rapidly evolving AI field. In parallel with its AI research focus, Meta is also involved in initiatives to foster AI talent and its application for public good. The company is backing a £1 million 'Open Source AI Fellowship' in collaboration with the UK Government and the Alan Turing Institute. This program aims to embed AI experts within UK government departments to develop advanced tools for public services, utilizing open-source models such as Meta's Llama. This initiative demonstrates Meta's commitment to supporting the development of AI for societal benefit, alongside its ambitious internal research objectives. Recommended read:
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Chris McKay@Maginative
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Meta is making a significant move in the artificial intelligence race, investing $14.3 billion for a 49% stake in data-labeling startup Scale AI. This deal is more than just a financial investment; it brings Scale AI's CEO, 28-year-old Alexandr Wang, into Meta to lead a new "superintelligence" lab. The move highlights Meta's ambition to develop AI that surpasses human capabilities across multiple domains and is a calculated gamble to regain momentum in the competitive AI landscape. Meta is aiming for an AI reset and hopes that Scale's Wang is the right partner.
This acquisition reflects Meta's strategic shift towards building partnerships and leveraging external talent. Scale AI isn't a well-known name to the general public, but it's a vital component in the AI industry, providing the labeled training data that powers many AI systems, including those used by OpenAI, Microsoft, Google, and even the U.S. Department of Defense. Meta has agreed to dramatically increase its spending with Scale, but one person said Scale expects some other companies like Google and OpenAI will stop using Scale's services for fear of Meta using information about their usage to gain a competitive advantage. The "superintelligence" lab is part of a larger reorganization of Meta's AI divisions, aimed at sharpening the company's focus after facing internal challenges and criticism over its AI product releases. Meta, under CEO Mark Zuckerberg, has been heavily investing in AI infrastructure and product development since the rise of ChatGPT, launching its own large language model family, Llama. Zuckerberg has been personally recruiting top researchers to boost its AI efforts. The new lab will focus on developing a theoretical form of AI that surpasses human cognitive capabilities, a long-term and highly speculative goal that Meta is now seriously pursuing. Recommended read:
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@Latest news
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Meta has made a significant move in the artificial intelligence race by acquiring a 49% stake in data-labeling startup Scale AI for a staggering $14.3 billion. This investment values Scale AI at over $29 billion and brings Scale AI's founder and CEO, Alexandr Wang, on board to lead a new "superintelligence" lab within Meta. The move underscores Meta's determination to accelerate its AI development and compete more effectively with industry leaders like OpenAI and Google.
This strategic acquisition signifies a shift in Meta's approach to AI development, where Zuckerberg has been personally recruiting top researchers from other companies. Scale AI, while not widely known to the public, plays a crucial role in the AI ecosystem by providing the labeled training data that powers large language models. They have a global workforce of over 200,000 contractors to label various forms of data. By bringing Wang and a portion of his team in-house, Meta aims to gain a competitive edge in building AI models that surpass human capabilities. Wang, who founded Scale AI in 2016 after dropping out of MIT, has grown the company into a major player in the AI industry. Scale AI works with business, governments and labs to exploit the benefits of artificial intelligence, and has a client list that includes OpenAI, Microsoft, Meta, Google, and the U.S. Department of Defense. As Wang departs for Meta, Jason Droege, former Uber Eats founder and current Chief Strategy Officer will step in as interim CEO to ensure that Scale AI continues to operate independently despite Meta's significant stake. Recommended read:
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@Latest news
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Meta CEO Mark Zuckerberg is spearheading a new initiative to develop artificial general intelligence (AGI), recruiting top AI researchers to form an elite team. This push aims to create AI systems capable of performing any intellectual task that a human can, positioning Meta to compete directly with tech giants like Google and OpenAI. Zuckerberg's involvement includes personal recruitment efforts, indicating the high priority Meta is placing on this project. This signals a significant shift for Meta, aiming to lead in the rapidly evolving AI landscape.
Disappointment with the performance of Meta's LLaMA 4 model compared to competitors like OpenAI's GPT-4 and Google's Gemini spurred Zuckerberg's increased focus on AGI. Internally, LLaMA 4 was considered inadequate in real-world user experience, lacking coherence and usability. Furthermore, Meta's metaverse investments have not yielded the anticipated results, leading the company to redirect its focus and resources toward AI, aiming to recapture relevance and mindshare in the tech industry. With tens of billions already invested in infrastructure and foundational models, Meta is now fully committed to achieving AGI. To further bolster its AI ambitions, Meta is investing heavily in AI start-up Scale AI. Meta has invested €12 billion and acquired a 49% stake in Scale AI. The investment has caused Google to end its $200 million partnership with Scale AI. Zuckerberg has also offered large salaries to poach AI talent. This move is part of Meta's broader strategy to build superintelligence and challenge the dominance of other AI leaders. Meta's aggressive pursuit of AI talent and strategic investments highlight its determination to become a frontrunner in the race to build AGI. Recommended read:
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