[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.
Introducing FrontierCode★ 78
Hacker News (AI keywords)5 days agoBenchmarkCognition launched FrontierCode, a coding benchmark focused on mergeability rather than only functional correctness. It evaluates correctness, tests, scope discipline, style, and repository-specific quality standards. Built with open-source maintainers and extensive quality control, it shows current frontier models still struggle: Claude Opus 4.8 scores 13.4% on the hardest Diamond subset, ahead of GPT-5.5 and Gemini 3.1 Pro.
Introducing Claude Opus 4.8★ 78
Hacker News (AI keywords)17 days agoReleaseAnthropic introduced Claude Opus 4.8 as an upgrade over Opus 4.7, emphasizing benchmark gains, sharper judgment, and more reliable agentic work. The launch also adds dynamic workflows in Claude Code, effort controls in claude.ai and Cowork, and Messages API support for system entries inside messages. Standard pricing remains unchanged, while fast mode is faster and substantially cheaper than before.