The potential scope of AI training with verifiable rewards beyond math and coding
One post challenges the idea that AI’s uneven strengths depend on how verifiable a field is, pointing instead to “information asymmetry” as the more general ingredient.
TLDR
A user questions whether reinforcement learning with verifiable rewards (RLVR) is limited to fields resembling math or software engineering. They propose “information asymmetry”—differences in who knows what—as the general ingredient, arguing that it can almost always be manufactured.
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