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 Sept 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”Play from 57:55Report a misattribution
45%how strongly it was put, not whether it is true
80%importance to the conversation
90%confidence the claim was read correctly