Deep Research

“We love to test, like, super niche random things, like, things where there's, like, No Wikipedia page already about this topic or something like that, right? Because that's where you'll see the most lift from a feature like this.”

“There are things that, you know exactly what you're looking for and their search is still probably, you know, a very, you know, probably one of the best places to go. I think where deep research really shines is that, like, Multiple facets to your question, an…”

“This is one of the first times, you know, something takes about five, six minutes trying to perform your research, so there's a few challenges that brings, like, you want to make sure you're spending that time in the computer doing what the user wants, so ther…”

“And that is very clearly a domain where you don't have an easily verifiable metric for success. It's very like, what is the best research report that you could generate? And yet these models are doing extremely well at this domain. So I think that's like an ex…”

“One specific example that takes people a little bit by surprise is, like, there are a huge number of people doing, like, B to B software bake-offs in chat to VT. You know, if you're at a big company and your boss is like, Hey, we need to buy something to solve…”

“I think the deep research blog post kind of hints that they do a bunch of small scale RL and then poof, the system works. Which I think is much more of what's happening is people train on a bunch of small things and they do some prompting and they see that whe…”

“And with the Claude codes and the codec CLIs and the deep researchers, researchers, you starting to see some evidence that the products are going to be a much more central part of how these frontier labs operate.”

“You know, I think if you look at like deep research, the original one and GPT-Five thinking on like high reasoning today, I think you'll see that like eventually the models all sort of converge in their capabilities.”

“I mean, I think if you look at our published evals, they're, they look, like, basically on par if it's not better, so, like, I mean, that's personally what I do.”