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The article is actually a great illustration of how far ahead of machine learning humans remain in their ability to collaborate and make intuitive connections (the AI contribution was minimal). Which LLM is going to say, hey this pattern looks like the birds out my window, or the problem I worked on years ago and never got anywhere, or I must send a competing LLM a preprint of my paper?

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> Which LLM is going to say, hey this pattern looks like the birds out my window, or the problem I worked on years ago and never got anywhere, or I must send a competing LLM a preprint of my paper?

They might never say that, but the model has a good chance of containing that association because learning is compression. If two things have the same patterns, they will likely be tied to the same networks in the model, because that's just how good compression works.

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