Alessio Fanelli

speaker
139 appearances 2 recordings 1 series first heard Dec 2025 last heard 19 Feb

Alessio Fanelli’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months
1 · Feb OctJan 26AprJulnow

Recordings per month over the last 12 months — 2 in all, peaking in Feb 2026 with 1.

Appearances

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And it feels like the people at the labs are getting more and more pulled uh in the uh PhD programs are getting pulled earlier and earlier into these labs. matched
So I'm curious if you think there's like matched
an issue right now with like how much money is at stake and how much pressure it puts on like the more academia open research space, or if you feel like that's not really a a concern. matched
Yeah. matched
I think this ties into the whole world model. matched
Like one of the my favorite papers that I saw this year was about inductive bias to probe for world model. matched
So it was a Harvard paper where they fed a lot of like orbital uh patterns into an LLM and then they asked the LLM to predict the orbit of a planet around the sun. matched
And the model it generated looked good, but then if you asked it to draw the force vectors, it would be all wacky, you know, it wouldn't matched
actually follow it. matched
So how do you think about what's embedded into the data that you get? matched
And we can talk about maybe soganizing for 3D world models. matched
Like what are like the dimensions of information? matched
There's the visual, but like how much of like the underlying hidden forces, so to speak, you need to extract out of this data and like what are some of the challenges matched
Right. matched
Because even in Marble, you know, I was trying it and it generates this beautiful scenery and there's like arches in them. matched
But does the model actually understand how, you know, the arch is actually, you know, drawing on the center kind of like stone and like, you know, the actual physical structure of it? matched
And the other question is like, does it matter? matched
that it does understand it as long as they always render something that would fit the physical model that we imagine. matched
need two different models to do the visual one and the architectural? matched
generation, you think eventually like there's not anything fundamental about the approach that you've taken on the model building. matched
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