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Nathan Lambert称，基准测试不足是智能爆炸式 RSI 的瓶颈
发生了什么
我认为，缺乏足够好的基准测试是一个瓶颈。至少对于被描述为智能爆炸式增长的那类 RSI 来说是如此。@METR_Evals 表示，该机构正在发布一份报告，总结一项风险评估：AI 本身是否正在加速 AI 的发展；这项评估基于自 8 月以来利用 Anthropic 内部信息开展的工作。Lambert 表示，现有基准测试可以大幅降低模型成本。https://twitter.com/METR_Evals/status/2118412183860351084
接下来读什么
查看这件事的完整进展Nathan Lambert Says Poor Benchmarks Bottleneck Intelligence-Explosion RSIimo a lack of good enough benchmarks is a bottleneck. At least for the type of RSI describe as an intelligence explosion. You can use existing benchmarks to make models way cheaper, though. https://twitter.com/METR_Evals/status/2118412183860351084
Since August, a team within METR has worked with internal Anthropic information to assess whether AI itself is accelerating AI development. We are now publishing a report summarizing the results of this risk assessment.在 X 查看被引用的帖子
这件事到目前为止
Nathan Lambert said that a lack of sufficiently good benchmarks is a bottleneck to the kind of recursive self-improvement (RSI) he associates with an intelligence explosion. He also said existing benchmarks can make models much cheaper. METR_Evals said it is publishing a risk assessment, based on work with internal Anthropic information since August, examining whether AI is accelerating AI development.
每天一封，跟上 AI 的重要变化
模型发布、价格变化、算力进展，附原始来源。免费，确认后开始发送，随时一键退订。 看一份往期日报 · 2026-11-05