Subnostr

let’s not talk about the biases nostr:note16hmxsg623r54tq8lujytf49d28u9k67xwaegms467c0z5udnjjxs46zts2

Biases tend to be in training material, but Claude demonstrates the ability to reason beyond training. More self-supervision will find less bias.

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A model training on itself is repeating the same biases.

Not when jt can reason beyond its training

AI is in the end a glorified next-word prediction function.

When you try to optimize this in a way that usually results in reasoning, the path it takes is still biased by the base model

This is not my experience with Claude