Home / Companies / Vals / Blog / Post Details
Content Deep Dive

Inkling 2 Small: An Inkling of Profanity

Blog post from Vals

Post Details
Company
Date Published
Author
Connor Frank
Word Count
983
Company Posts That Month
3
Language
English
Hacker News Points
-
Post removed?
No
Summary

An analysis of 2,655 runs of Thinking Machines’ Inkling 2 Small across 13 benchmarks found that the model used the word “fuck” in 50 runs, with 316 total occurrences heavily concentrated in two runaway runs that produced 241 instances. Profanity appeared primarily in long, difficult runs, with none occurring before 100 steps and most appearing in the latter half of attempts; ProgramBench had the highest number of affected runs among the public benchmarks. The model’s swearing commonly accompanied self-identified mistakes, perceived breakthroughs, frustration, or abandonment of unsuccessful tasks, and in some cases emerged in repetitive loops that generated extremely long responses until the context window filled. Although 46 of 48 graded runs containing profanity failed, the analysis concludes that swearing is not a useful predictor of failure because most failed runs did not swear and overall failure rates were already high. The study counted selected uncensored profanity variants in the model’s reasoning and messages while excluding tool outputs, programming-language terms, names, and censored spellings.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
AI Agents 1 2,096 365 132 -70%
Secrets Management 1 991 174 74 -68%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.