Dwarkesh Patel

Although I think it's worth emphasizing how much progress in AI it constitutes already to have models that are capable of applying some technique that nobody had written down is applicable to this particular problem.

Okay.

So speaking of 2026 AI, you made a prediction in 2023 that I think by 2026, what was it?

It would be like a colleague in mathematics or?

Which is looking pretty good in retrospect.

Yeah, I'm pretty pleased.

So, you know, let's even continue the streak.

You personally are 2x more productive as a result of AI.

What year would you say that?

You made this distinction between artificial cleverness and artificial intelligence.

And I would like to better understand those concepts.

What is an example of...

intelligence that is not just cleverness.

Interesting.

You were saying if Gemini 3 or Cloud 4.5, whatever, solves a problem, it is not the case that its own understanding of math has progressed.

Or even if it works on a problem without solving it, it's not that its own understanding of math has progressed.

So Terence talks about the importance of decomposing particularly gnarly problems into a series of easier chunks, even if this doesn't result in the full solution.

Approaching problems in this way helps you build up the intuitions and practice the techniques that you'll need to keep making progress.

But models today tend to struggle with these kinds of problem-solving techniques.

That's where Labelbox comes in.