Meta, Facebook and Mark Zuckerberg
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AI, Meta and Data center
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The researchers argue that CoT monitoring can help researchers detect when models begin to exploit flaws in their training, manipulate data, or fall victim to malicious user manipulation. Any issues that are found can then either be “blocked, or replaced with safer actions, or reviewed in more depth.”
Meta will begin removing monetization privileges and stop recommending content from accounts that repeatedly post unoriginal content, many times aided by AI
As tech giants like Microsoft, IBM, and Google shed thousands of workers, experts weigh in on the motivations behind these layoffs.
Some of these AR glasses, folks... I'm telling you, they make Meta's billions of dollars of annual R&D seem like bad spending.
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Members of the lab, including the new chief A.I. officer, Alexandr Wang, have talked about abandoning Meta’s most powerful open source A.I. model in favor of developing a closed one.
Scale AI said it’s cutting 14% of its staff weeks after Meta invested $14.3 billion in the startup and hired a number of top staffers.
For Silicon Valley giants, getting ahead in the artificial intelligence race requires more than building the biggest, most capable models; they’re also competing to get third-party developers to build new applications based on their technology.
Mark Zuckerberg created a $1.8 trln empire by developing Facebook and acquiring Instagram. He also squandered money on the metaverse and struggled to integrate WhatsApp. Blending the two growth strategies portends a machine-learning mess,