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Telorand ,

However, training these AI models needs a LOT of data, so much that some of it has to be synthetic – not real data from real people, but data that reproduces existing patterns. Most synthetic datasets are themselves generated by Machine Learning AI.

Maybe having a blind man teach another blind man how to see based on how he imagines seeing works is a recipe for disaster…

FaceDeer ,
@FaceDeer@fedia.io avatar

Turns out analogies are not the actual thing they're analogizing, though. Synthetic data - when properly created and curated - has proven to be very useful and effective in training AI.

Telorand ,

Except when it’s not, or else this article would have no point.

ETA: also, it seems like a terrible idea to train science models on data you essentially invented. The reason science works is because it follows the extant evidence, not the other way around.

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