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by pixl97
3 days ago
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>. But when it breaks a rule, we correct it, it keeps breaking, and this whole thing actually raises the probability of more violations. In Pre-LLM days the 'nearest unblocked neighborhood' problem, where patching out one issue just immediately runs into another issue, or a different path back to the same issue. Since the models can learn new long time behaviors it's difficult to change the behavior without changing the context quite a bit. |
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