prediction claim
The speaker raises the possibility of training a model to behave like an RLM implicitly within its forward pass.
Alex Zhang · Academia is for Ambition — Alex Zhang, MIT · 2 Oct 2026
In their words
The transcript segments this claim was taken from
“what are the components of an RLM that are actually necessary?”
“And can I actually just directly train a model to do this? Can I train a model to act as an RLM implicitly in its forward pass?”39:09Report a misattribution
0.35how strongly it was put, not whether it is true
0.72importance to the conversation
0.98confidence the claim was read correctly