model

“What we're finding is that these models are good at first order tasks. Right? You can get 90% good at a first order task. They don't quite have the context window, which will be solved, the contextualization kind of the repeated back and forth that allows them…”

“If what you're searching is too large, the answers, the chunk that you'll be finding will be a bit noisy, and the models, even the best ones today, they have a tendency to get a little bit disturbed by that noise, meaning that they might not hallucinate too mu…”

“The bottleneck is now these models.”

“The models are all sort of the same, but OpenAI is the only one that anyone uses, that, that, that has consumer mindshare.”

“But I think that the models six or 12 months from now, they probably won't need this anymore because they're all going to be pretty good and you won't have to define very rigidly what each one's responsibilities are anymore.”

“If you give like incorrect diarization, To a model, it'll oftentimes confuse it more than if it just has to try to infer who's speaking.”

“Models and agents to me are effectively the same thing.”

“I think at least part of it is probably The models seeing descriptions of AI, like in the science fiction literature going rogue and like, yeah, that probably affects how the models behave in similar scenarios.”

“Models actually don't learn right now. So you use a model and if you solve memory, it has memory of things. So it has context of these things. And so it can, oh, here's the context, and so it can have a better answer because it has the context, but it doesn't …”