Neural scaling law
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3
EPISODES
3
PODCASTS
Search complete. 9 mentions across 3 episodes found for "Neural scaling law".
Sep 30, 2026
Token Bill Dwarfs CPU Bill | Ben Pouladian on Meta's Muse, Anthropic S1, and Why All Roads Still Lead to NVIDIA
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47:25Jack FarleyHOST
It won't end until the models stop getting better the more compute you invest in it.
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47:33Jack FarleyHOST
So basically, it won't stop until the scaling laws, which have held up this entire time, end.
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47:38Jack FarleyHOST
Do you think that is a reasonable statement?
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47:40Ben PouladianGUEST
Yes.
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47:41Ben PouladianGUEST
I think until now, the bigger the training run, the better the results, and the more capable the model has been.
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47:50Ben PouladianGUEST
And because scaling laws are holding, there's this insatiable demand for compute.
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47:54Ben PouladianGUEST
But at the same time, you could also use the corollary that there's an insatiable demand for intelligence, right? Like, when do people want to stop knowing things? Does it go on forever? I mean, possibly.
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48:11Ben PouladianGUEST
So if you have an insatiable demand for intelligence, theoretically these trees could grow to the sky, which I don't believe in.
Jev: System One models for Prod, not God — with Diogo Almeida, CEO, TypeSafe AI
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9:20Diogo AlmeidaGUEST
You know, like even my take here is practical and like, am I a scaling law fan? Um, Depends.
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9:29Diogo AlmeidaGUEST
Scaling laws tell you how much better you get at a thing for amount in.
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9:33Diogo AlmeidaGUEST
Scaling law does mean exponentially more resources for normally sublinear gains, which looks to be a bad investment unless those linear gains are really, really valuable.
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9:44Diogo AlmeidaGUEST
But to me, it's all about what can we do with what we have to make the biggest possible fucking difference.
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11:14Diogo AlmeidaGUEST
Twitter is just like Jeff, Jeff, Jeff, you know? It's like a party.
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11:18Diogo AlmeidaGUEST
It's inspiring
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11:19SwyxHOST
because it's so different than what we're used to, which is, I'm sorry you can't do this, but we do scaling laws, and only the big labs can do it, right? That
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11:28Diogo AlmeidaGUEST
actually, if I I'm a tangent, if that's okay.
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Unknown podcast
Neural Scaling Laws: The Proof Comes From Rydberg Atoms
Sep 21 · 2 Mentions
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0:00speaker_0HOST
Good morning and welcome to Agora Intelligence.
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0:02speaker_0HOST
Today's subject, Neural Scaling Laws.
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0:05speaker_0HOST
The proof comes from Rydberg-Adams, an ablation study that takes apart the data, not the model.
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0:11speaker_0HOST
An ablation study on a language model usually takes apart the architecture, attention heads, layers, tokenizer.
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0:18speaker_0HOST
The work filed on ArcSciv on 17 September 2026, won by David S. Berman, Ying Jirkaio, Roger G. Melko, and Alexander G. Stapleton, takes apart the data instead, and the result concerns anyone who trains language models.
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0:33speaker_0HOST
The authors study the neural scaling laws of Rydberg, an autoregressive transformer trained on projective qubit measurement data collected from arrays of interacting Rydberg atoms.
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0:44speaker_0HOST
The quantum system shows a finite size remnant of a critical point as the laser detuning is varied.
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0:49speaker_0HOST
Ten pages, six figures, one tight thesis.