[AINews] Open Models, Model Labs vs Agent Labs, and the Untrainable★ 72
Latent Space3 days agoCommentaryThis AINews issue uses Sarah Guo’s essay as a lens for current AI industry debates: where open models matter, how agent labs differ from model labs, and what cannot be trained away. It also recaps discourse around Anthropic Fable/Mythos, Fable 5’s capabilities, Google’s DiffusionGemma, and maturing agent infrastructure. The central takeaway is that durable value may lie in integration, customer translation, maintenance, and intent rather than model scores alone.
Meta Keeps Delaying the Release of Its New AI Model to Developers
Hacker News (AI keywords)8 days agoReleaseThe WSJ reports that Meta has repeatedly delayed the developer release of a new AI model after previously signaling it would arrive “soon.” Public summaries say the delay has stretched for nearly two months, with no scheduled API launch date at the time of reporting. The story matters less as a benchmark claim and more as a signal about Meta’s AI execution, developer ecosystem strategy, and monetization timeline.
Inside Meta's attempts to play catch-up with AI
Ars Technica AI11 days agoBusinessArs Technica examines Meta’s efforts to catch up in the AI race. The available summary emphasizes lingering doubts about whether Meta can narrow the gap with its rivals. The piece appears focused on business strategy and competitive positioning rather than a specific product launch, model release, or technical paper.