Charlie O'Neill

speaker

259 appearances 2 recordings 1 series first heard Jul 2026 last heard 6d ago

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

Like, the most boring interpretation of this is probably the correct one, which is that the world will probably own.

accept superintelligence at a pace that it can absorb.

So the labs are slowing down because they have to and not because they're plotting anything.

And the result is probably intelligence that's, you know, decently fast, decently safe, decently commoditized, and it's spreading through best practices and even like distillation until the models are just basically a reasonable integration into the world.

I'm definitely not one of those extremists who think that, you know, the AI has a more than ten percent chance of killing all of humanity.

I do believe that there are tail risks that like some people should seriously be considering.

But I think that what we're seeing with the current LLM paradigm is like, as I said before, um, a risk of swarms doing very, very annoying things to humanity and things that will be quite painful in the short term.

However, I believe the benefits of AI to outweigh

The annoyances and even the pain that those like, you know, short-term things can cause, and that at some point the world is going to have to harden to these systems.

And I think that the pace we're currently progressing at, and particularly if we do things like, you know, dedicating more compute to monitorability is going to allow us to integrate AI into a world at a pace we can handle.

A really good example of this is like, you know, the the cybersecurity arguments that the people have been making.

You know, like we worry.

That when AI got to this point or even the point it was at six months ago, the world will be overrun by cybersecurity attacks.

And that just hasn't happened.

And a large part of the reason is that, you know, the frontier labs, the closed source labs, have kind of been the canary in the coal mine.

They've we've understood where the model's capabilities are going to be at in six months for the open source.

And we spent six months preparing.

These have been slowly released.

And you know, like Greg Brockman describes using Astro to like repeatedly harden.

you know, all the vulnerabilities and open AI's code bases and every single model that they release, they do this with.

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