Rohan Paul· @rohanpaul_ai · X·· 2 小时前精选AI 评分78
AI 导读
Moonshot 在开源发布 Kimi K3.1 Pro 前,从训练中移除了网络相关数据,使内部 xdev-bench-hard 的 pass@3 从 90.5% 降至 81.0%。该模型在 Terminal-Bench 4.0 上得分 65.7%,落后 Claude Opus 5.5 0.7 分、领先 GPT-6 Astra 7.5 分,平均单任务成本低于两者。K3.1 Pro 与速度提升 2-3 倍的 Highspeed 版本已在 Kimi 应用和 API 上线,完整权重预计 11 月 4 日开放。
推荐理由
材料给出 Moonshot 在开源前主动削减网络攻击能力的训练细节与内部基准对比,可观察安全取舍如何影响能力分布。
正文 · 原文
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.
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.在 X 查看被引用的帖子
来源:Rohan Paul · x.com