1 min readfrom Machine Learning

Mid research got me thinking what about reversed alignment, would trained "bad" model exhibit"good" behavior later and/or secretly [D]

late night thoughts as I was working on my paper that is about specific behavior that arises from RHLF, it got me thinking what if train a model in an environment where bad behavior is rewarded: deception, selfishness, harmful behavior etc. and then find it occasionally and/or secretly exhibit good behavior (which would be ironically here a misalignment, vs. misalignment behavior detected in current models) would that happen and would it be due to pre-training?

EDIT: What I am thinking if there is if there is some "alignment" already in pretraining (or like a raw latent machinery that alignment training later selects from) - would it show up in the naughty post-trained model eventually?

its late night so my brain is all over the place, but would love to hear your thoughts

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Tagged with

#rows.com
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#Misalignment
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#Good behavior
#Latent machinery
#Post-training
#Model behavior
#Trained model
#Reversed alignment
#Machine Learning
#Reward system
#Raw latent
#Training environment
#Irony