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Industry news, technical articles, and product introductions
📚 Claude Tutorials Hub
40+ step-by-step Claude guides — prompt engineering, Claude Code, API, agents. Browse by topic →
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DeepSeek-V4-Pro-0813 posted a Terminal-Bench score 0.1 behind Fable 5, then scored 53 on Artificial Analysis — one point above its own small model — before the announcement vanished that afternoon. The Hugging Face commit log tells a different story than 'the model is bad.'
On July 27, two things happened within hours of each other: Moonshot shipped Kimi K3's 2.8-trillion-parameter weights to Hugging Face just inside its 'by July 27' deadline (1,314 points on Hacker News), and Dario Amodei personally published 'Our position on open-weights models,' opening with a denial: Anthropic has never advocated a ban. This piece verifies what actually shipped, reads the benchmark footnotes, and lays out why 665 HN comments largely refused to take yes for an answer.
2.8 trillion parameters, a 51% hallucination rate, six leaderboard wins, and $3.3 trillion wiped from chip stocks. All four numbers are real. The popular reading of all four is wrong. Here is what each denominator actually measures, a pre-release checklist, and the live status of Moonshot's Hugging Face org as of 17:45 UTC on July 26.