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Animats ◴[] No.41890003[source]
This is an important result.

The actual paper [1] says that functional MRI (which is measuring which parts of the brain are active by sensing blood flow) indicates that different brain hardware is used for non-language and language functions. This has been suspected for years, but now there's an experimental result.

What this tells us for AI is that we need something else besides LLMs. It's not clear what that something else is. But, as the paper mentions, the low-end mammals and the corvids lack language but have some substantial problem-solving capability. That's seen down at squirrel and crow size, where the brains are tiny. So if someone figures out to do this, it will probably take less hardware than an LLM.

This is the next big piece we need for AI. No idea how to do this, but it's the right question to work on.

[1] https://www.nature.com/articles/s41586-024-07522-w.epdf?shar...

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1. og_kalu ◴[] No.41896476[source]
You are getting derailed because of the name we've chosen to call these models but only the first few and last few layers of LLMs deal with tokens. The rest deal with abstract representations and models learnt during training. Language goes in and Language comes out but Language is not the in-between for either LLMs or Humans.