prediction claim
The speaker believes that many kinds of harnesses beyond RLMs remain to be discovered and may provide similar generalization benefits.
Alex Zhang · Academia is for Ambition — Alex Zhang, MIT · 2 Oct 2026
In their words
The transcript segments this claim was taken from
“what the role of the harness is because harnesses can actually greatly increase the generalization capability of your model and the amount of data that it's given and this is not exclusive to RLMs I think there is a wide class of harnesses that are yet to be discovered that actually can yield similar properties and to extend this argument a little bit further I think what you can also extrapolate from this is like if I look at an RLM”Play from 38:42Report a misattribution
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