[AINews] Open Models, Model Labs vs Agent Labs, and the Untrainable★ 72
Latent Space4 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)9 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.
探討開源模型生態系的複利效應：中國「開源優先」與高參與度 AI 生態的啟示★ 75
Interconnects (Nathan L.)34 days agoOpinionThis article delves into how the open-source AI model ecosystem achieves exponential growth through "compounding effects," using China's highly engaged…