Charlie O'Neill

speaker

259 appearances 2 recordings 1 series first heard Jul 2026 last heard 15 Sep

Charlie O'Neill’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

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

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Prof G Markets · Why OpenAI And Anthropic Are Pumping The Brakes · 15 Sep 2026 podcast

That's kind of a conservative estimate.

Running a model on compute has never been more

more valuable.

And I don't think there's any world in which any lab, let alone anthropic and open AI, are going to want to stop spending on compute because they realized how compute and constrained the world's going to be over the next few years and how valuable this intelligence is.

So optics, yes, um, spending no.

The reason it's so visceral is not because there has been a discontinuity in terms of capability advancement, in terms of what people have been saying about where these models would be at, in terms of the press around these models.

I think that most people really fundamentally involved in the technical side have been able to draw the straight lines on the scaling graphs and say, okay, at this point in time, we are going to hit here.

I think it's just a confluence of a lot of things.

And like to some people, it looks like a discontinuity.

because it's managed to permeate the public consciousness in a proper way for the first time.

I think a big part of that is the hug and face incident and all the discourse that that generated.

And then, you know, you add things in like

open airs marketing around Astro being AGI.

Like that's that's probably not going to help either, right?

Like people have become familiar with this term now.

And if you claim that your model's finally there, then they might see that as a phase transition or discontinuity in and of itself.

But you know, like this misalignment research has been very clear for a long time.

Like go back to Anthropic's 2023 papers with much worse models with much, much smaller amounts of RL, if any.

And it's clear

That like models would behave poorly in incidents like the hugging face swarm incident if you put them in weird situations.

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