Arb
@ArbResearch
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JL Austin stay winning
For this to work at all, you will need some interesting transforms of the training dataView quoted post on X
We recently helped Yoshua Bengio and his LawZero colleagues write up their mathematical argument for Scientist AI. Our role was to be an internal red-team.
The core notion is "consequence-invariance": training that never selects predictors for what their outputs would cause
The core notion is "consequence-invariance": training that never selects predictors for what their outputs would cause
