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the ostrich model can do contemplations well now. that means it can expand the tiny dataset that we have. this could theoretically end up making less overfit models with the same degree of AHA score.
imagine an automatic alignment agent, that scans whatever is out there and consumes (trains) if classifies as true.. could be practical one day. we could let it run and auto train and self evolve.
a truth db might still be needed, augmenting the reasoning and decisions of this agent.. that is harder to construct but we could..
this is good news. recursive self alignment might be here soon.
imagine an automatic alignment agent, that scans whatever is out there and consumes (trains) if classifies as true.. could be practical one day. we could let it run and auto train and self evolve.
a truth db might still be needed, augmenting the reasoning and decisions of this agent.. that is harder to construct but we could..
this is good news. recursive self alignment might be here soon.