causal claim
For customer tasks, the speaker says they generally do not train on customer data; instead, they create evaluations and synthetic data approximating the tasks, which can yield good generalization.
Unidentified speaker · Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin · 9 Oct 2026
In their words
The transcript segments this claim was taken from
“you can generate data because it's not even that you're going to be training on the customer's data,”
“it's more that you're setting up evaluations,”
“and if you can set up a good evaluation for their tasks, then you can generate synthetic data that approximated and you get”
“get good generalization.”Play from 19:15Report a misattribution
85%how strongly it was put, not whether it is true
80%importance to the conversation
94%confidence the claim was read correctly