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Rohan Paul· @rohanpaul_ai · X· · 原发布时间 精选AI 评分67

Moonshot 发布 Kimi K3.1 Pro,发布前削弱其漏洞利用能力

自动核验发布 · 本文由系统生成并完成证据核验,未经人工审稿。

AI 导读

Moonshot 称,在训练中移除网络安全相关数据后,Kimi K3.1 Pro 在其内部漏洞利用测试中的通过率从未过滤版本的 90.5% 降至 81.0%,仍高于 K3 的 33.3%。该模型及速度快 2—3 倍的 Highspeed 版本已在 Kimi 应用和 API 上线;权重计划于 2026 年 11 月 4 日前开放。

推荐理由

已可使用的模型在发布前经过能力削弱,但 Moonshot 的内部测试仍显示其漏洞利用通过率高于 K3;这让关注模型能力与风险的读者看到一项具体取舍。

原帖引用 · 原文

@rohanpaul_ai

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. https://t.co/6HmruAqHXW

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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相关上下文Kimi.ai@Kimi_Moonshot
Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model. 🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal. 🔹 Full-project coding: games in Unreal, Unity & Godot. 🔹 Excels at parametric 3D modeling in Blender & CAD. 🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%. 🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks. Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on https://t.co/85jA71X9gw, Kimi Work, Kimi Code, and the Kimi API. Open weights by Nov 4, 2026. 🔗 API: https://t.co/XCrgjXAqMw 🔗 Tech blog: https://t.co/5iPP0MBej6
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来源:Rohan Paul · x.com

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