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Published · transcript-backed

Trenton Bricken: belief

22 May 2025 Dwarkesh Podcast Is RL + LLMs enough for AGI? — Sholto Douglas & Trenton Bricken

“I do just want to flag as well that there's a really dystopian future if you take Moravec’s paradox to its extreme. It’s this paradox where we think that the most valuable things that humans can do are the smartest things like adding large numbers in our heads, or doing any sort of white collar work.”

— Trenton Bricken

Source trail

Everything needed to verify it.

Speaker
Trenton Bricken
Attribution
Verified speaker
Claim type
belief
Recorded
22 May 2025
Publisher
Dwarkesh Podcast

Transcript context

…It's economically worthwhile to do so. Even if algorithmic progress stalls out, and we just never figure out how to keep progress going—which I don't think is the case, that hasn't stalled out yet, it seems to be going great—the current suite of algorithms are sufficient to automate white collar work provided you have enough of the right kinds of data. Compared to the TAM of salaries for all of those kinds of work, it is so trivially worthwhile. Yeah, exactly. I do just want to flag as well that there's a really dystopian future if you take Moravec’s paradox to its extreme. It’s this paradox where we think that the most valuable things that humans can do are the smartest things like adding large numbers in our heads, or doing any sort of white collar work. We totally take for granted our fine motor skill, and coordination. But from an evolutionary perspective it's the opposite. Evolution has optimized fine motor coordination so well. Even if you look at robot hands, the ability to open a door is still just really hard for robots. Meanwhile, we're seeing this total automation of coding, and everything else that we've seen as clever. The really scary future is one in which AIs can do everything except for the physical robotic tasks, in which case you'll have humans with AirPods, and... Glasses?…

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