Eiso Kant

speaker
1,158 appearances 1 recordings 1 series first heard Jul 2026 last heard 23 Jul

Eiso Kant’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

Appearances

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But I think this is what we're going to come back down to.
Like, probably works.
It's just, is it compute efficient enough?
Is it going... Like, I think so many of these things ultimately will work.
It's just like, you know, what's the nice thing about text?
And I referenced earlier Peng Ming and Nikolai, my two co-heads of Applied Research, who are just incredible.
Like, we wouldn't have gotten here without them and the entire team.
And Nikolai and I have been debating, you know, for years about, like...
Should reasoning be in latent space?
Should reasoning be in tokens?
But one thing that I think him and I really agree on, and all three of us, is that language is incredible because it's such an incredibly dense way to encode knowledge and information and intelligence.
If you think about what went into a physics paper that then is 20 or 30 pages, the amount of intelligence and thought and whatnot to then generate that information
Like in that 20-page document, like those little amount of bits, there's so much encoded.
And other modalities like video and images are amazing, but they don't have the same density of like knowledge or reasoning or whatever, like the things that we're trying to push for that are encoded in that modality.
They're there in many cases.
You can watch an incredible lecture for, you know, 50 minutes on YouTube.
But if you treat that as video in data versus text data, right, the bits to like signal to noise ratio, the compute efficiency of the modality is a lot, you know, a lot less.
And so we kind of have this view is like with language, you can go really far.
But also when you have limited compute, limited, you know, people, and they're very much linked to two.
I think we can push language.
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