Kevin Wang

speaker

180 appearances 1 recordings 1 series first heard Jan 2026 last heard 2 Jan

Kevin Wang’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 Jan 2026 with 1.

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Latent Space: The AI Engineer Podcast · [NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton · 2 Jan 2026 podcast

Maybe.

I mean that that would be a very interesting research structure too.

But actually, yeah, even on that point, like one of the things I was thinking about is that the way that our RL objective works is in some set it's not exactly next word prediction, but it's kind of like next state prediction.

Right.

You imagine you're at some current state and you're at some a current action.

And we want to predict whether or not this future state, this this certain state is a future state along the same trajectory or a different trajectory.

And so in some sense we are actually doing some sort of like

Uh you know like in the end of the year.

Or like in language, you you do a cross-s re loss to classify the next token, right?

And here we're just doing binary classification of like whether or not some next state is some.

Yeah, yeah, yeah.

And so I do see that there are some like sort of parallels here that perhaps we should dig into deeper and see like what is the core to of what enables deep learning to scale.

And then how can we like leverage that?

How could how we can distill those like insights and then apply those

across like all different fields, whether it's language or reinforcement learning.

They still have that.

I think actually this is like a point.

Like if you go out to our website, like this is one of the future directions that we list at the very bottom.

Oh like okay.

Yeah.

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