prediction claim
The speaker thinks that iterating on adversarial examples may make them progressively harder to find, but is uncertain, noting that the model has roughly a trillion parameters.
Andrej Karpathy · Andrej Karpathy — AGI is still a decade away · 17 Oct 2025
In their words
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“can do this but every time you do this you get a new llm and it still has adversarial examples there's infinity adversarial examples and i think probably if you iterate this a few times it will probably be harder and harder to find adversarial examples but i'm not 100% sure because this thing has a trillion parameters or whatnot um”Play from 48:31Report a misattribution
55%how strongly it was put, not whether it is true
70%importance to the conversation
94%confidence the claim was read correctly