LLM Generalization: Harnesses Can Alleviate Generalization Pressure
a1zhang · x · 2026-07-23
The author elaborates on their perspective regarding LLM scaling laws. While extreme scaling arguments suggest models will eventually grok everything internally, the author argues that a harness can significantly alleviate this generalization pressure. The simplest approach is ensuring the LM sees the exact same tokens during testing as it did during training.
Related event: LLM Generalization Debate: Intrinsic Model or Harness Contribution?(11 posts)→
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