causal claim
JEV may help RLMs, swarms, and similar systems address the latency and compute-allocation bottleneck caused by making many language-model calls.
Alex Zhang · Academia is for Ambition — Alex Zhang, MIT · 2 Oct 2026
In their words
The transcript segments this claim was taken from
“that open up with works like this and that's like really exciting jev in particular when i saw it i was like this is actually really useful for rlms like i think it's it's it makes sense because the biggest bottleneck in rlms or swarms or systems like these is they're slow when you do multiple language model calls all the time you're not distributing your compute correctly because like maybe there's something trivial that you just want a simple model to do but you can't do it because your language model is just”
“this bulky thing,”Play from 22:49Report a misattribution
80%how strongly it was put, not whether it is true
80%importance to the conversation
87%confidence the claim was read correctly