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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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visarga ◴[] No.41896512[source]
> No idea how to do this

We need to add the 5 senses, of which we have now image, audio and video understanding in LLMs. And for agentic behavior they need environments and social exposure.

replies(1): >>41898473 #
1. NemoNobody ◴[] No.41898473[source]
This is actually exactly what is needed. We think the dataset is the primary limitation to an LLMs capability but in reality we are only developing one part of their "intelligence" - a functional and massive model isn't the end of their training - its kinda just the beginning.