Positive users see value in Kimi K3's self-correction for improving future AI models while negative users express frustration and disgust at its elementary error in complex Jacobian math reasoning.
Based on 4 visible X reactions from 11 accounts; directional sample.
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@teortaxesTex I've noticed it many times in coding agents. The CoT starts having completely wrong assumptions, to the point it really gets on my nerves, but steering/correcting it often doesn't help. If you let the model continue, instead, it may reach a reasonable outcome.
@teortaxesTex This kind of self-correction is valuable for improving future AI reasoning models.
Kimi team: this kind of thing is a goldmine for GRM training Sol (as well as Fable) look at K3's reasoning chain and notices an error
@teortaxesTex There is literally no way to stop this huh
Positive users see value in Kimi K3's self-correction for improving future AI models while negative users express frustration and disgust at its elementary error in complex Jacobian math reasoning.
Based on 4 visible X reactions from 11 accounts; directional sample.
Ask a question below.
Published answers will appear here.