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Rohan Paul· @rohanpaul_ai · X·· 3 小时前精选AI 评分72
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Moonshot AI 发布 Kimi K3.1 Pro,并在训练中主动移除网络攻击相关数据,内部 xdev-bench-hard 的 pass@3 从 90.5% 降至 81.0%。该成绩仍高于 K3 的 33.3%,低于 DeepSeek V4.1-Flash 的 85.7% 和第三方评测的 GPT-5.6 Sol 的 100%;模型已上线 Kimi 应用与 API,完整权重计划 11 月 4 日前开放。

推荐理由

原文给出 Moonshot 在训练中移除网络攻击数据的做法与前后对比数据,可借此了解模型发布中的能力控制权衡。

正文

Moonshot deliberately weakened Kimi K3.1 Pro’s hacking ability before the open release.

the uncut version solved 90.5% of in-house exploit tasks, while the released model solved 81%, still well above K3’s 33.3% and behind DeepSeek V4.1-Flash at 85.7% by Moonshot’s count.

引用Rohan Paul@rohanpaul_ai
Moonshot AI’s first update, the new Kimi K3.1 Pro > Kimi K3.1 Pro scores 65.7% on Terminal-Bench 4.0, 0.7 points behind Claude Opus 5.5 and 7.5 ahead of GPT-6 Astra, at a lower average cost per task than either rival’s top runs. > Moonshot saw exploit skill climb as post-training scaled, so it removed cyber-related data from mid-training and RL; on its internal xdev-bench-hard, pass@3 fell from 90.5% to 81.0%. > The filtered model still solves 81.0% of those exploitation tasks against K3’s 33.3%, which Moonshot reads as general coding gains carrying into cyber work, while a third-party run of GPT-5.6 Sol solved 100%. > On Moonshot’s internal hallucination stress test with tools, false claims fell from 23.4% for K3 to 8.3%, still above GPT-6 Astra’s 5.5% but well below Claude Opus 5.5’s 15.0%. > The biggest jump is on Moonshot’s simulated business-operation test, where scores rose from 8.9 to 37, and K3.1 Pro also tops OfficeQA Pro v2 at 64.4 against Opus 5.5’s 62.2. > Gains are uneven: K3.1 Pro scores 38.1 on Terminal-Bench Science against GPT-6 Astra’s 68.1 and Opus 5.5’s 63.3, while leading Agents’ Last Exam at 43.2 and Humanity’s Last Exam with tools at 70.0. > K3.1 Pro and a Highspeed variant running 2-3x faster are live in Kimi’s apps and API, with full weights due by November 4 for independent reruns.
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来源:Rohan Paul · x.com