Model Releases
Finally! the first eval ship from cog!!!!!!!!!! š¼š¼ To contextualize: @METR_Evals cap out at ~16 hours. Cog has private enterprise evals upā¦
Finally! the first eval ship from cog!!!!!!!!!! š¼š¼ To contextualize: @METR_Evals cap out at ~16 hours. Cog has private enterprise evals up to 100hrs, and is confident enough to put a financial guarant
Finally! the first eval ship from cog!!!!!!!!!! š¼š¼ To contextualize: @METR_Evals cap out at ~16 hours. Cog has private enterprise evals up to 100hrs, and is confident enough to put a financial guarantee on it 𤯠METR dataset: ML eng, GPU kernels, cybersecurity > "METR (2026) used a combination of GPT-4o and GPT-5 to estimate the human-equivalent times from compressed Claude Code transcripts. These transcripts were collected from 7 METR technical staff on 34 sessions labeled on human ground truth". rlogā of 0.83 Cog dataset: real life java/typescript/python/c# feature dev, bugfixes, migrations > "We collected a ground-truth dataset by asking Devin users to review recent representative sessions, and estimate how long each completed session would have taken without Devin. Our dataset consists of 258 sessions from 126 users across a diverse set of enterprise customers." rlogā of 0.74 on held out set this is pioneering real world evals work and part 1 of a broader frontier code evals drop that I'm really looking forward to writing up. huge kudos to @annarmitchell and @ryanbai1412 for leading the unglamorous last mile data collection!! AI should earn its keep. Introducing the AI Productivity Guarantee. If Devin delivers less engineering value than youāre paying for, Cognition will fund your usage until it does, up to $10 million. Itās time for the AI industry to stop maximizing tokens and start maximizing produā¦
Source: Swyx (X) | 2026-06-04