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Their words
I think the agents were right to presume causal grading. It turned out to be wrong, but it’s a mistake you are clearly supposed to make here, in response to a mistake by OpenAI where they failed to implement properly.
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korrents.com
Large language models write to satisfy an evaluator's grading criteria rather than to move a human reader.Their words
LLMs write to get a grade, not with the goal of moving the reader.
20 March
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Their words
So, you you can't look at any given scientific achievement purely in isolation and give it an objective grade without being aware of the context both in the the past and the future. And so it it it may never be something that you can just reinforcement learn the same way that that you can for much sort of more localized problems.
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