VQV Signal
According to a post on X by @AlisonGopnik, a new PNAS paper compares how children, adults and AI agents explore an open-ended, Minecraft-style environment. The post says intrinsic rewards such as entropy and empowerment shaped their spontaneous exploration. The source gives no results or numbers, so the specific findings for each group are not available from this post.
According to a post on X by @AlisonGopnik, a new PNAS paper compares how children, adults and AI agents explore an open-ended, Minecraft-style environment. The post says intrinsic rewards such as entropy and empowerment shaped their spontaneous exploration. The source gives no results or numbers, so the specific findings for each group are not available from this post.
AI-assisted summary based on the listed source.
Alison Gopnik announces a new PNAS paper in which children, adults and AI agents played in the same open-ended Minecraft-style environment. The post says intrinsic rewards such as entropy and empowerment shaped their spontaneous exploration. The returned text gives no results or numbers. Why it matters: Findings...
Researchers and builders working on AI agents that learn through exploration could be affected if the findings hold up. The post says they could inform how future AI agents are trained to learn. The full PNAS paper is the place to check the actual results, since this post does not provide them.
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VQV surfaced this signal because it is recent, relevant to AI Agents, connected to Scobleizer News Pulse (X).
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