Mike Knoop

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927 appearances 4 recordings 1 series first heard Mar 2025 last heard 18 Nov

Mike Knoop’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Nov 2025 with 1.

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TBPN · Gemini 3 Launch, Big Tech Backs Anthropic, OpenAI Adds Fidji Simo | Jonathan Neman, Mike Knoop, Ashlee Vance, Jeremy Epling, Keone Hon, Stephen Balaban · 18 Nov 2025 podcast

Um, and so we're starting to see like actual material progress on that complexity scaling.

And then I think the big surprise to me personally is that Gemini 3, though, is still roughly along the Pareto frontier of V1.

it's a little better, but like it's still we're we're still kind of roughly within the same mass shape.

And um, you know, there's dozens of tasks where like, you know, the system still makes relatively I think, you know, obvious mistakes that humans don't make or recognize very quickly.

And you know, I sort of previously expected like if we had an AI system that was solving half of V two, that V one would be fully solved.

And like that's not the case.

So uh there there's a lot of surprise here.

Uh I was thinking about this earlier to sort of invite sort of uh investigation from the community because I think there's still a lot to learn in terms of, you know, how how why why exactly do we see such, you know, a jagged intelligence emerging right now?

we verified a Gemini result either this year.

We we did two and a half earlier as well.

So yeah, I I don't think that's going on.

So it's not like it

Yeah, I mean I've got my sort of hypotheses.

You know, I think my my my personal one is that like AI reasoning systems just don't demonstrate

Even fluid intelligence.

Um, you know, the sort of like the ability for these reasoning systems to do adaptive reasoning, which ARC is a sort of test of adaptation capability, it's sort of limited to domains where the underlying foundational model has pretty good training coverage over the types of data and it has a verifiable feedback signal.

Um and I and I think that's sort of true for ARC.

You know, if I if I zoom out even further, maybe, you know, to kind of

could put put this kind of uh result in context of where we're at is, you know, just like an industry right now.

I think

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