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Machine Learning Street Talk · Saturday, September 26, 2026

Debate on AI Self-Improvement: Outcome vs. Method and Goodhart's Law

The discussion touches upon the debate of whether AI self-improvement should be judged solely by outcome or also by the elegance of the method. The concept of Goodhart's Law, where a measure becomes a target and ceases to be a good measure, is raised in the context of AI development.

The tape

2 quotes
“We are a bit torn on the experiment results. Like, to what extent we want to stick to more first principles, uh, clean solutions we generate versus the solution that actually works better in practice.”
Jengyau Jang
“And also, what about this small matter of Goodhart's Law, which is that when a measure becomes a target, it ceases to be a good measure.”
Jengyau Jang
Heard on Machine Learning Street Talk — “When AI Research Starts Moving Faster Than Human Research - Zhengyao Jiang”, published Saturday, September 26, 2026. Heardvine summarizes and quotes with attribution and timestamps, and links to the original everywhere.
Transcribed via Gemini audio transcription · $0.05
Debate on AI Self-Improvement: Outcome vs. Method and Goodhart's Law — Heardvine