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french_exec

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1 points·by french_exec·last month·0 comments

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1 points·by french_exec·2 months ago·0 comments

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1 points·by french_exec·3 months ago·0 comments

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1 points·by french_exec·4 months ago·0 comments

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1 points·by french_exec·4 months ago·0 comments

What a Null Result Taught Us About AI Agent Evaluation

clouatre.ca
1 points·by french_exec·5 months ago·0 comments

Why Your AI Agent Failed in Production

clouatre.ca
1 points·by french_exec·5 months ago·2 comments

Orchestrating AI Agents: A Subagent Architecture for Code

clouatre.ca
1 points·by french_exec·5 months ago·0 comments

RAG for Legacy Systems: 7,432 Pages to 3s Answers

clouatre.ca
4 points·by french_exec·6 months ago·0 comments

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french_exec
·2 months ago·discuss
"Unfortunately, GPT‑5.5 started training before we found the root cause of the goblins. When we began testing GPT‑5.5 in Codex, OpenAI employees immediately noticed the strange affinity for goblins, and we added a developer-prompt instruction (opens in a new window) to mitigate. Codex is, after all, quite nerdy."

https://openai.com/index/where-the-goblins-came-from/
french_exec
·5 months ago·discuss
Fair point. Probabilistic systems being unpredictable isn't news. The article's just noting current observability tools weren't designed for these failure modes.