News from the AI & ML world
DeeperML
Ali Azhar@AIwire
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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.
ImgSrc: www.aiwire.net
References :
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.
ImgSrc: www.aiwire.net
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References :
- AIwire: The Superintelligence Lab That Could Define Meta’s Future