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GPTs’ biological reasoning and the risk of over-hedging

One user argues that recent GPT models hedge too much in biological reasoning, leading them to remove reasonable conclusions.

j⧉nusJ⧉
SauersSA
2 Sources, 20d ago, first seen 20d ago

TLDR

A user criticizes recent GPT models as poorly calibrated for biological reasoning and deduction, arguing that they are too conservative. To illustrate the concern, they suggest that a GPT model writing its own paper from the results of a strong, high-impact paper would say “almost nothing.”

Combined views

2.3K

2 Sources, first seen 20d ago

67 likes5 comments5 saves3 reposts

Combined views

2.3K

2 Sources, first seen 20d ago

67 likes5 comments5 saves3 reposts

Sentiment

Positive——Negative

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Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

2 Sources

Sauers@Sauers_GPTs are very uncalibrated with respect to biological reasoning and deduction. Recent models over-hedge: this conservativism leads to wanting to remove reasonable conclusions. If GPT took the results from a great high impact paper and wrote their own, it would say almost nothing20d
j⧉nus@repligateRT @Sauers_: GPTs are very uncalibrated with respect to biological reasoning and deduction. Recent models over-hedge: this conservativism l…20d
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    2 Sources

    Sauers@Sauers_GPTs are very uncalibrated with respect to biological reasoning and deduction. Recent models over-hedge: this conservativism leads to wanting to remove reasonable conclusions. If GPT took the results from a great high impact paper and wrote their own, it would say almost nothing20d
    j⧉nus@repligateRT @Sauers_: GPTs are very uncalibrated with respect to biological reasoning and deduction. Recent models over-hedge: this conservativism l…20d
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