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#96: How Words Get Their Meaning (feat. Gary Lupyan)

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Is It Possible to Derive Meaning From Distributional Information?

I think it's pretty clear that causality and causal reasoning is is central to how we reason. It depends on whether what we care about more is using these models right as models of human intelligence or if we care just about their application kind of, you know, doing things like in this open AI chat botRight. So can we call your position lightly held a distributional semantics plus that like you know distributional semantics gives you a lot? Right. And there's like a like you can go very far down that road and if you have a few extra editions and those editions are incredibly important but they're not necessarily the bulk of everything,. Then that kind of ties language in and there's

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