Could 10k agents discover learning methods beyond backprop, or just tweak existing ones?
SeunghyunSEO7 · x · 2026-09-11
The author poses an open question: would 10,000 agents eventually figure out a fundamentally better way to learn function approximators beyond error backpropagation and iterative numerical optimization — or would they merely incrementally tweak existing architectures and algorithms? No conclusions, but a thought-provoking framing of whether automated AI research can produce paradigm-level breakthroughs.
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