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This is not a new idea at all, many many have had it, no one really can claim it
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Wikipedia has humor:

> The same observation had previously also been made by many others.

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Don’t worry, Twitter bros already coined it.
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Genetic algorithms have existed since the 60s / 70s, e.g. computers learning to play a game. LLMs aren’t particularly guide at it.

I think hyperparameter tuning may actually be a kind of genetic algorithm.

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Hyperparameter tuning could be done by genetic algorithm. I think it’s a bit of a category error to say that it is a genetic algorithm though.

Hyperparam tuning is usually done by Bayesian Optimization though.

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Yeah that’s correct, it could use it, but there are better alternatives for this particular problem.
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You know this doesn’t work most of the time…
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