RSI is Like NAS: Still Bounded by Search Space
kamalgupta09 · x · 2026-07-15
The author compares the research atmosphere around Recursive Self-Improvement (RSI) to NAS (Neural Architecture Search) around 2018: both are constrained by a "pre-defined search space."
He argues that NAS couldn't escape the convolutional network paradigm back then; similarly, while RSI can write new code, alter algorithms, and read papers, it remains limited by:
- External scaffolding
- Human-defined validation loops
The conclusion is that current RSI progress is real, but whether it can truly break through these artificial boundaries and achieve "escape velocity" remains unclear.
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