The Data Efficiency Gap Between Humans and AI: No System Has Both Targets
dyamins · x · 2026-11-05
Khai Loong Aw's article asks what it would take for AI to learn as efficiently as a child, and how close today's LLMs, world models, and robots are. It frames human learning as two complementary data-efficiency targets: pretraining efficiency (acquiring broadly useful knowledge from limited data) and zero-shot flexibility. The conclusion: no AI system today achieves both.
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