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rf15

So we build an LLM...

that grabs new tokens based on stochastics...

train it on all the programming teaching material and projects available on the internet...

and then analyse the output...

...for the distribution of content of the source material?

what?

You learn nothing.

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Because of weightings around other things you aren't going to get a 1:1 50% of input code used node so it uses node 50% of the time. There's enough randomness and other stolen content to (in theory) bias it towards weird outputs/choices

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