@Mnilax: Google and Stanford engineers just dropped a 39-page PDF on what actually makes an AI agent self-improve. input → outpu…
Summary
A 39-page paper from Google and Stanford engineers analyzes the key factors that enable AI agents to self-improve through feedback loops, noting that only 9% of agents actually run a real loop.
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Cached at: 06/25/26, 11:18 AM
Google and Stanford engineers just dropped a 39-page PDF on what actually makes an AI agent self-improve.
input → output → feedback → update → repeat
the number it opens with: only 9% of agents run a real loop.
the other 91% is a human typing the next prompt by hand.
their case: a loop isn’t a vibe, it’s three hidden choices
- starting artifact
- credit horizon
- experience batching
i spent weeks getting these three right.
now my loop runs while i sleep and rewrites its own skill file so it never asks me twice.
the paper says why 91% of loops quietly die. the article is the one that didn’t.
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