STORY · FORSKNING_
RLVR may be ill-suited for science because verification loops span decades
A discussion in Dwarkesh Podcast points out that reinforcement learning from verification (RLVR) may have fundamental problems when applied to science. The issue is that it takes decades or centuries to verify whether a theory is correct, and even established theories often make worse predictions than earlier theories.
WHY IT MATTERS
This challenges a popular idea that AI can be trained to make scientific breakthroughs. If AI systems need immediate feedback to learn, and scientific validation is extremely slow, RLVR cannot work as hoped for accelerating fundamental research.
SOURCES
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