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视频称 DeepSeek V4.1 Flash 开源权重让 AI 放缓提案失效

视频用多项 agentic 基准和价格对比,称 DeepSeek V4.1 Flash 以 MIT 许可开源并逼近 GPT-5.6 Sol,使 Dario 的放缓提案失去意义。

Ricardo
@Ric_RTP2026.09.16收录原推发布于 2026.09.13
Ricardo @Ric_RTP原推发布于 2026.09.13
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China is making Dario Amodei's AI slowdown proposal worthless. The thing doing it is a 510 GB file that anyone can download for free. Two days before that essay went out, DeepSeek shipped a model called V4.1 Flash. The weights went straight onto Hugging Face under an MIT license, which allows commercial use, modification and redistribution with no royalties owed to anybody. On its own model card, V4.1 Flash beats OpenAI's GPT-5.6 Sol and Anthropic's Claude Opus 5 on four of the five hardest agentic benchmarks: - DeepSWE v1.1: 74.2 against Sol's 73.0 - AutomationBench: 54.8 against 45.8 - Agent's Last Exam: 31.8 against 26.7 - CyberGym: 88.1 against 84.5 CyberGym is the cybersecurity one. So the exact capability Amodei is asking the industry to pace is now a PUBLIC DOWNLOAD LINK. Now look at the price... OpenAI listed GPT-6 Astra on September 3 at $10 per million input tokens and $50 per million output. DeepSeek listed V4.1 Flash seven days later at 15 cents and 60 cents off-peak. Cached input runs at a third of a cent. And the reasoning benchmarks tell the same story over a longer window. Scoring 87.5% on ARC-AGI-1 cost roughly $4,560 per task in December 2024. 20 months later the same score cost about 30 cents. DeepSeek's earlier Flash build scores higher than that, 89.0%, for 2 cents. On OpenDesign's arena on September 9, DeepSeek landed 1.5 points behind OpenAI's newest model at $0.023 per task against $1.61. 1.5 points. At 70 times the price. That's the American "lead“, measured this month. And that number is what breaks the entire proposal. The essay caps the permitted slowdown at the size of the lead, because slowing by more than that lets Chinese projects pull ahead. So the slowdown Anthropic, OpenAI, Google and xAI are allowed to take is 1.5 points wide. V4.1 Flash carries 552 billion parameters but switches on only 8 billion of them for each word it reads, which is why it runs for almost nothing. It trained on 45 trillion tokens. It's sitting on Hugging Face right now. A file on a hard drive signs nothing. Nobody can UNDOWNLOAD it. And the distillation crackdown in Dario‘s plan also does nothing here either, because nothing was distilled. DeepSeek published the weights outright. There's no theft to prosecute and no copy to trace. They gave it away on purpose. DeepSeek's Pro model already hit 80.6% on SWE-bench Verified back in April, at roughly a thirty-fourth of the price of the American flagships. This has been happening all year. The frontier still wins the hardest work. On Terminal-Bench 4.0, OpenAI reports 57.9 for its newest model against the 31.2 DeepSeek reports for this one. Those four benchmark wins come from DeepSeek's own card, and nobody has replicated all of them under one shared protocol. If you look at it that way, the American labs still hold the dangerous end of the curve, and pacing that end is worth doing. But a speed limit only binds companies that can be sued in an American court. Everyone else just downloads. What exactly is Dario Amodei's slowdown protecting you from?

这条是引用着另一条写的:x.com/ric_rtp/status/2099084145565544953

x.com/ric_rtp/status/2099116806933713333采集于 2026.09.16 19:34