Another more speculative idea for addressing sample efficiency is 'dreaming'—where AIs build a good simulation of reality to rehearse new skills, try alternative strategies, and reinforce what works, allowing AIs to experience orders of magnitude more simulated samples in the same wall-clock time.
forecastpending
Evidence Quote
“If the AI can build a good simulation of reality against which to rehearse new skills, or try alternative strategies and reinforce what actually works, then AIs could experience orders of magnitude more simulated samples in the same wall-clock time.”
Created: 8/12/2026, 6:40:37 PM
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