My LLM drift tracker flagged four regressions this week. All four were wrong.
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I run a public board that probes 16 LLMs on a frozen 35-task suite, once a day, and keeps every score. When a model drops against its previous run, it opens a GitHub issue by itself and writes me a draft post. Between 21 and 24 July it did that four times: 23 Jul Gemini 3.5 Flash -11.4 pts 24 Jul Gemini 3.1 Pro -2.9 pts 21 Jul Grok 4.3 -5.7 pts 22 Jul Llama 3.3 70B -2.9 pts Four regressions in four days, across three labs. That's a post that writes itself, and it would have been fast, legible,…
1Key Takeaways
- I run a public board that probes 16 LLMs on a frozen 35-task suite, once a day, and keeps every score.
- When a model drops against its previous run, it opens a GitHub issue by itself and writes me a draft post.
- Between 21 and 24 July it did that four times: 23 Jul Gemini 3.5 Flash -11.4 pts 24 Jul Gemini 3.1 Pro -2.9 pts 21 Jul Grok 4.3 -5.7 pts 22 Jul Llama 3.3 70B -2.9 pts Four regressions in four days, across three labs.
- That's a post that writes itself, and it would have been fast, legible,….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that i run a public board that probes 16 LLMs on a frozen 35-task suite, once a day, and keeps every score.
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