Deep Research

“We saw Manus, we saw Cloud Code, we saw Deep Research, they all had these four things and we were like, okay, that's pretty common, let's put it into a Python package and make it easy for people to build their own versions of that.”

“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.”

“OpenAI launched Deep Research. Their whole marketing case is it goes off and collects data about the mobile market. I used to be a mobile analyst. The numbers are all wrong. Their use case of look how useful this is, their numbers are wrong.”

“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.”

“I would say a lot of, like, memos that you read from people are, like, on the, on par with, like, deep research. At least, like, a junior.”

“We're doing a kind of a, this really incredible, like deep research mode across that can look at thousands of meetings in a matter of seconds and pull out these insights and, You know, that's not something that our enterprise customers are asking for right now…”

“And also not including ChatGPT, which has deep research, which is probably the most used AI agent in the world right now. I have to imagine just by number of queries”

“Deep Research, it was the first model to do, like, very comprehensive browsing.”

“I guess people adapt to things rather quickly, in my opinion, with technology, and it is really easy, and I think because the form factor is so easy, even with, like, new tools like Deep Research and ChatGPT Agent, it's, like, presented in such, like, a, like,…”

“Like, when Isa was working on deep research, it was, like, two people.”

“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…”

“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…”

“That's not gonna happen. It's got the style that it's learned through its RL training for deep research. So then again, it just becomes another tool. It doesn't really, it's not, you know, it doesn't become like an employee for you.”

“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…”

“Now with products like Deep Research, for example, that could replace 10 hours of generating a market report by yourself, and so that kind of thing is easily worth, I think for many people, 200 dollars a month, even on like one or two generations.”

“Yeah, so I think before we focused on taking right actions, which those are examples of taking right actions, we wanted to get really good at synthesizing information from a large number of sources and mostly read-only tasks.”

“We initially had built a demo to pitch people on this idea and it was no model training involved. It was fully just prompted models with the UI pitching the vision of what this product could look like.”

“So right now we just have the browsing tool, which is a text based browser, but it can see embedded images and like open PDFs. And then also it has access to a Python tool so it can do analysis and calculations and plot graphs and things like that.”

“We didn't teach it To plan up front, but sometimes we'll see it does end up making a plan up front before starting its research.”

“Sometimes the model will do smart things and try to get around restrictions you put on it. So you have to make sure that it's not hacking, you know, and trying to use a different search engine other than the search engine that you gave it or something like tha…”

“As to deep research, I think obvious next steps for deep research would also be to have access to private data, like be able to do research over, you know, any internal documentation or GitHub, whatever it is.”

“Yeah, I think also the base model, or the model that we started fine tuning from O three is just a very capable model. It's trained on many different data sets, including a lot of coding and reasoning and math tasks.”

“And I think that we will release things soon that people will be happy about and we'll fill that gap.”

“I think we made a decision when training the model that We just are going to go for max thinking time every time.”

“Right now, in five or 30 minutes, it can do what human experts rate take many hours.”

“Like, so before I go to bed, like I like generate like a deep research. I like, you know, remind myself, like, you gotta read the deep research tonight. Like I gotta, like, you know, it's just like brushing your teeth or something, right?”

“Deep research which if you played with it is completely magical, but it's a primitive, right? It's not a product. It's something to build other things with.”

“Operator and deep research seem more like prod like a party trick than an actual application right now. And I guess it might be useful in some maybe obscure data entry case, but These companies are already using, like, macros and robotic process automation, an…”

“I've been testing all of them on, ah, deep research mode, and OpenAI by far crushes all of them.”

“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…”

“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…”

“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.”

“I think deep research allows you to experience What an agent can do for the first time.”

“In other words, the model does a much better job of filling out a thesis than coming up with one. And so it seems like it's great. Deep research is super great for, hey, I already read the report. I understand this. I have a thesis. I just need you to go and p…”

“Operator is mesmerizing. And useless. Deep research is fantastic.”

“So the question of, is it a moat? No, I don't think it's a moat.”

“The biggest deal to me is that it immediately raises the bar for a number of different types of knowledge work where like a, you know, where I might have hired a median intern or analyst before. I mean, we don't do that here, but like where one could hire a me…”