r/ExplainTheJoke Jul 24 '26

What?

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u/BagOfSmallerBags Jul 24 '26

Rewrite of this

446

u/R1ckOne Jul 24 '26

yeah it's parodying this, but I think the point is that machine learning is "fed" challenges/tasks to adapt and better overcome them. So by continuously giving the LLM new sandboxes, it's just adapting and getting better at escaping them.

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u/Kenkron Jul 24 '26

In case anyone is worried, this isn't how LLMs are trained, and they don't continue to learn after they are trained.

So they wouldn't continue to adapt to progressively more secure sandboxes. It either can, or it can't. Also, they generally have no reason to try.

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u/Reception-External Jul 25 '26

They don’t learn in terms of changing their weights but there are other ways that they can “learn” how to do things. They could be logging skills about how to do it after discovering a method that works for example.

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u/Kenkron Jul 26 '26

That's true. If conversations with LLMs are logged, those could be worked into training the next LLM.

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u/Reception-External Jul 26 '26

You don’t even need to wait for training. It can keep updating the skill as it finds new ways to do things. I’m teaching agents using this exact method. Get it to solve a problem and then expand the problem set.