Elan Barenholtz

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2,007 appearances 4 recordings 1 series first heard Feb 2025 last heard Jun 2025

Elan Barenholtz’s voice in public audio — every appearance, attributed to the second.

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It's it's uh it's it's c really, really radically different kinds of of spaces.
Um but
what I'm proposing, what I think uh the insight here is that ultimately uh there is a the possibility of of having a shared space that you can send, you can project both of these things to where microphone
uh the word is going to somehow make contact with this perceptual experience right now, this perceptual uh fact on uh but it's not and here's you know here's the the key point that you were getting at it's not that this word microphone picks out the exact same embedding that
uh in this latent space.
It's not that it's gonna make that thing light up.
Oh, what a it's the same thing.
No.
It's that when you ask a certain question about a microphone, is there a microphone on your desk?
My perceptual system is
generating some some uh well, first of all it's just generating the perceptual phenomena, but then it's also sharing in p information in this latent space, which my linguistic system can then go draw from.
And then
Given this particular prompt, was there a microphone on my desk?
I'm able to then successfully answer the question.
So it's dot it's not quite the same thing as saying that they are they are picking out the same uh information in latent space because my argument is that that that that's not really a meaningful concept.
Uh there isn't the same microphone in in linguistic terms doesn't pick out a perceptual uh kind of fact.
That's not possible.
These are radically different kinds of facts.
But what the latent space might allow us to do is not just to translate, which is what they did in this paper, but perhaps to pass information along in a meaningful way so that you're able to access it and do something successful, like answer the question: is there a microphone on this desk?
I think that might be what's happening to some extent even in the multimodal models.
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