labs

“I think if we lived in a world of twenty-twenty-three when it was one model to rule them all, it wouldn't even matter if you had permission, because the labs would just take a hundred percent of your gross margin over time. But now, because you've got many opt…”

“This is a place where the application layer really shines because labs, of course, are both incentivized and structurally only able to provide their own in-house models. You as an application sort of aggregator can provide the best of breed.”

“At VALS, one very early decision we made was the decision to never sell training data to labs. It's often a place that we're pushed. When we start working with a new lab to actually source and sell for them a bunch of training data.”