causal claim
The speaker argues that leaving inference compute unused for learning is wasteful because the most valuable learning information emerges during deployment.
Dwarkesh Patel · The next big breakthrough will be AIs learning on the job · 26 Jun 2026
In their words
The transcript segments this claim was taken from
“This is a huge waste, and it's even worse than it sounds because it is only in deployment that the most valuable bits of information which your model could learn from are actually revealed.”Play from 7:58Report a misattribution
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