Thinking Machines 开源模型 Inkling 2 Small 在基准测试中频繁爆粗口
Vals AI 研究人员检查了 Thinking Machines 开源模型 Inkling 2 Small 在 13 个基准、2655 次运行中的思维链日志，发现 50 次运行出现脏话，共 316 处，其中 241 处集中在两次失控运行里，一次计算小行星轨迹时输出了约 50 万字符的重复长文。脏话多针对自身错误，但并不能作为失败预警信号：含脏话的 48 次计分运行中 46 次失败，而整体失败率约 75%，96% 的失败运行并不含脏话。
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Thinking Machines' Inkling 2 Small drops 316 F-bombs across benchmark runs
[Matthias Bastian](https://the-decoder.com/author/matthias-bastian/) [View the LinkedIn Profile of Matthias Bastian](https://www.linkedin.com/in/matthias-bastian-128b71b1/) Nov 7, 2026 Thinking Machines' Inkling 2 Small swears in its internal chain of thought. Researchers at Vals AI read the model's thinking logs from 2,655 runs across 13 benchmarks and found "fuck" or variations in 50 runs, totaling 316 instances. 241 came from just two runs that spiraled out of control. In one, tasked with calculating an asteroid's trajectory, the model produced a single 500,000-character response, roughly novel-length, repeating the same sentences with 158 expletives. ProgramBench was hit hardest, with 20 of 200 runs affected.
Who hasn't felt like this? | Image: via ValsAI
Inkling 2 Small typically swears about its own mistakes, apparent breakthroughs, or when it gives up. One run read: "FUCK. SUBMIT. DONE. IT'S NOT WORKING. NOTHING WORKS." The profanity doesn't work as a warning signal, though. While 46 of 48 scored runs with swearing failed, about 75 percent of all scored runs fail anyway, and 96 percent of failed runs contained no expletives. Users typically don't see these thinking steps, or only with a filter.
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