frontier models

“I don't think, I don't know, is it 60, 70% of those use cases actually require frontier models? I think you can, again, freeze the model, and it's the ingenuity, the last mile that, that's actually what's going to create a magical product.”

“A lot of these like very large frontier models are large because they're good at everything. And so I think a lot of the opportunity for these like specific verticals will be, okay, I probably don't need a trillion parameters if I just need the system to be go…”

“So I, my guess is that within 12 to 18 months, 80% of our workloads will be going toward models that are 99, 99% cheaper, but 20% of it will still go to these frontier models where you need to be, you know, IQ maxing or whatever you want to call it.”

“The open source models are about three to three to six months behind the frontier models, right? But they're 99% cheaper for inference.”

“There's a growing portion of tasks in the economy and within these enterprises where you just don't need a frontier model, and oftentimes you don't even need anything close to a frontier model.”

“Jesse's explanation, I think, is the correct one, which is that open source is good for production grade, like production scale workflows. Yet we're so early in this AI journey that there's not that many production grade workflows. And so if you are trying to …”