descriptive claim
The speaker says a classification algorithm cannot be properly trained using only positive samples and no negative samples.
Ekin Dogus Cubuk · 🔬 Synthesis Superintelligence: from Semiconductors to Superconductors — Periodic Labs’ Liam Fedus and Ekin Dogus Cubuk · 8 Oct 2026
In their words
The transcript segments this claim was taken from
“Yeah. And also in general, like when you're training a machine learning algorithm, especially like at a very basic level, if it's a classification.”
“algorithm if you don't have negative samples you can't really train if everything is positive”56:02Report a misattribution
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