Recursive's Tim Shi maps recursive self-improvement: from learning data to discovering architectures
agihouse_org · x · 2026-11-12
Recursive SI co-founder Tim Shi laid out the layers of recursive self-improvement: learning from data → RL → learning the reward itself → discovering new architectures.
His core argument: every layer can be written as code, and AI has become very good at writing code — meaning each step of self-improvement can itself be automated.
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