4 sources healthy · latest episode 9 Nov 2026
descriptive claim

The speaker says they evaluate the meta-learning system by testing the discovered inner-loop agent on held-out benchmarks unseen by the outer loop, each with public and private splits.

Zhengyao Jiang · When AI Research Starts Moving Faster Than Human Research - Zhengyao Jiang · 26 Sep 2026

In their words

The transcript segments this claim was taken from

“but in order to evaluate the whole”
“Meta learning system.”
“We need to test it on a hold out set of benchmarks so that the out those benchmarks are tasks that even auto loop never sees and for all of those benchmarks they are still private and a public split so we tested the discovered inner loop agent on those hold out tasks that's the protocol”
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