prediction claim
The speaker expects training on small, verifiable AI R&D tasks structurally similar to the target problem to transfer fairly well, though not exceptionally well; the exact degree of transfer remains uncertain.
Ryan Greenblatt · Ryan Greenblatt – What happens once AI can automate AI research? · 11 Aug 2026
In their words
The transcript segments this claim was taken from
“And so I think that in a lot of ways AI and D will have properties,”
“you know, quite similar to math where basically you can do small,”
“you can like train on chunks of AI and D that are”
“pretty similar in structure to the to the problem you actually cared about in a very verifiable way and then that will transfer and then there's an open question of exactly how well it will transfer but i think that the transfer currently for math looks pretty good and my expectation is that the transfer for r&d will look pretty good but not amazing”Play from 9:08Report a misattribution
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