Ankit Gupta
speaker
237 appearances
1 recordings
1 series
first heard Jul 2026
last heard 17 Jul
Ankit Gupta’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.
Appearances
In this case, you know, this still feels somewhat tractable, though, because the action space is small enough where this, like, kind of works.
But now, like, let's say, hypothetically, maybe we can draw, like, an imaginary game of Go where it's, like...
You know, let's let's say this game ago was like 1000 by 1000.
And so now you have a equals, you know, more or less a million.
And now this, this tree, we're drawing here.
that has to take here, this has Cardinal or like, you know, with, I guess, 1 million.
And there's like S zero through S 1 million.
And the number of, you know, steps you would have to take here, presumably will have to be way more than 800 in order to get any reasonable kind of sampling of this.
And so you're probably multiplying the test time cost
of doing a rollout or of doing a next step prediction astronomically.
If the game was even, let's say, you know, this is only 100 X bigger than the current game running 50 X bigger than the current game.
That's to do a single action, to be clear.
Yeah, I think the really good contrast here, because intuitively
I think in thinking through this exact star layout, it actually really changed how I think about the kind of problem space of both of these two.
So like, let's take self-driving car as an example.
This is one, you know, many people have started to experience for the first time because we have some self-driving cars that actually work.
You have Waymo and Tesla FSD and whatnot that seem like they kind of work.
So like, let's maybe apply your same star
framing here, I would contend that the state space of self-driving car is enormous.
And it's actually not intuitive to me whether it's more or less large than this one.
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