Justin Johnson
speaker
345 appearances
1 recordings
1 series
first heard Nov 2025
last heard 25 Nov
Justin Johnson’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 Nov 2025 with 1.
Appearances
Um, but but like basically the the paper you mentioned is sort of, you know, that problem that it learns to fit the specific patterns of orbits, but then it doesn't actually generalize in the way that you'd like.
It doesn't have a sort of causal model of gravity.
Yeah, I mean it depends on the use case.
Like if the use case is I want to generate sort of a backdrop for for virtual film or production or something like that, all you need is something that looks plausible.
And in that case, probably it doesn't matter.
But if you're gonna use this to like, you know, if you're an architect and you're gonna use this to design a building that you're then gonna go build in the real world, then yeah, it does matter that you model the forces correctly because you don't want the thing to break once you actually actually build it.
Yeah, I mean there there's this trick with understanding, right?
Like these models are a very different kind of intelligence than human intelligence.
Um, and human intelligence is interesting because, you know, you know, I I think that I understand things because I can introspect my own thought process to some extent.
And then I believe that my thought process probably works similar to other people's, so that when I observe someone else's behavior, then I infer that their internal mental state is probably similar to my own internal mental state that I've observed.
And therefore I know that I understand things.
So there I assume that you understand something.
But these models are sort of like this alien form of intelligence where they can do really interesting things, they can exhibit really interesting behavior.
But whatever kind of internal the equivalent of internal cognition or internal self reflection that they have, if it exists at all, is totally different from what we do.
It
But what that means is that when when we observe seemingly interesting or intelligent behavior out of these systems, we can't necessarily infer other things about them because they're their model of the world and the way they think is so different from us.
Yeah, I would like it to be one model.
But I think like the big problem in deep learning in some sense is how do you get emergent capabilities beyond your training data?
Are you gonna get something that understands the forces while it wasn't trained to predict the forces, but it's gonna learn them implicitly internally?
Um and I think a lot of what we've seen in other large models is that a lot of this emergent behavior does happen at scale.
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