“Meta Announces Massive Investment in AI Infrastructure with New Data Centers”

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Meta’s Massive AI Investment Plans

Meta CEO Mark Zuckerberg announced plans to invest “hundreds of billions of dollars” into artificial intelligence compute infrastructure. The company will build several massive AI data centers, with the first AI supercluster coming online soon. This represents one of the largest AI infrastructure investments announced by a tech company.

Read more from CNBC | Read more from Yahoo Finance


Defense Department Partners with Leading AI Companies

The Chief Digital and Artificial Intelligence Office (CDAO) announced partnerships with four major AI companies—Anthropic, Google, OpenAI, and xAI—granting them up to $200 million for AI work addressing critical national security challenges. This marks a significant collaboration between the government and private AI labs.

Read more from AI.mil | Read more from NBC News


Meta Forms New Superintelligence Lab

Meta has formed a new superintelligence lab that is discussing major changes to the company’s AI strategy. The lab represents a significant shift in Meta’s approach to developing advanced artificial intelligence capabilities, though specific details about the strategic changes remain under discussion.

Read more from The New York Times


Cognition AI Acquires Windsurf After Google Investment

AI startup Cognition announced it’s acquiring Windsurf, including the coding company’s intellectual property and user base. This deal comes just days after Google made a $2.4 billion investment in Windsurf, highlighting the intense competition and rapid consolidation in the AI sector as companies race to acquire technological talent and AI tools.

Read more from The New York Times | Read more from CNBC


Meta’s AI Strategy Shift Toward Closed Development

Meta, which built its AI reputation on openness, may be shifting toward a more closed development approach. Sources indicate that Meta completed training on a model called “Behemoth” but delayed its release due to underwhelming internal performance, suggesting the company is becoming more selective about releasing AI models publicly.

Read more from TechCrunch


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