5 min read
I Was Wrong About Self-Improving Models: Here's What I Actually Found
A follow-up to my retracted post on self-improving models. The fidelity metric improved 18% but actual performance dropped 11%. Here's what went wrong, what I learned about Goodhart's Law, and why reproducibility filtering might be the answer.
self-improvement
machine-learning
goodharts-law
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