Every AI News story tagged with both AI in Business and Meta — the two topics side by side, updated as new articles publish.
10 articles
Meta is expanding its Hyperion data center in Richland Parish, Louisiana, to 5 gigawatts of capacity, pushing total investment past $50 billion and funding local schools and infrastructure.
Read more →Meta has begun construction on a 1-gigawatt, AI-optimized data center in Alberta — its first in Canada and 33rd globally, backed by a CAD $13 billion investment.
Read more →Meta plans to begin manufacturing its in-house "Iris" AI chip in September, aiming to double its data center computing capacity to 14 gigawatts by 2027, an internal memo reviewed by Reuters shows.
Read more →Meta now builds two separate AI model families: the open-weight Llama and the new proprietary Muse. Here's how they differ, and how to try either one.
Read more →Meta Superintelligence Labs opened a public preview of Muse Spark 1.1, a paid agentic coding model with a 1-million-token context window, taking on OpenAI and Anthropic.
Read more →Meta's new AI image generator, built by Meta Superintelligence Labs, is now live across its apps — but talent agency CAA says its opt-out design misuses people's likenesses without consent.
Read more →At an internal town hall, Meta CEO Mark Zuckerberg conceded that AI agent development has not "accelerated in the way" the company expected, despite a $145 billion infrastructure commitment and a major workforce reorganization.
Read more →Meta's superintelligence chief told employees that the company's next model, codenamed Watermelon, has caught up to OpenAI's GPT-5.5 on key benchmarks — though the specific tests and results have not been disclosed.
Read more →A WIRED investigation reveals Meta's secret "Project Cannes" used hundreds of workers posing as underage users to send crisis prompts to ChatGPT, Gemini, and Character.AI — without the companies' knowledge.
Read more →Google told Meta in March it could not supply the computing capacity Meta had requested for its Gemini AI usage, disrupting internal projects and forcing Meta to push employees toward its own models.
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