prediction claim
The speaker suggests that continuous learning might eventually let one model keep learning and expanding, eliminating the need to train separate new models.
Beren Millidge · AI researchers debate how close we are to recursive self-improvement · 11 Sep 2026
In their words
The transcript segments this claim was taken from
“mean not necessarily i mean like maybe eventually if you have continuous learning you never train any model you just like just have a model and it keeps learning and like expanding right”57:55Report a misattribution
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0.80importance to the conversation
0.90confidence the claim was read correctly