Real-World Bottlenecks of Recursive Self-Improvement
FinanceYF5 · x · 2026-07-13
Major real-world bottlenecks include ambiguous evaluation criteria, long-term memory losing crucial details, and the difficulty of learning from failure cases.
Optimization often converges to a few solutions, making reward hacking hard to prevent. Furthermore, coding agents frequently focus only on immediate tasks, neglecting the long-term health of the codebase.
Related event: Lilian Weng's Deep Dive into Recursive Self-Improvement via Harness(9 posts)→
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