Turing

“Turing, which is growing crazy and about touching hundred million dollars ARR from eight in two years.”

“That said, I think providing data to the soda labs, Is a very hard business. It's a great business and scale proved to be very successful. Turing has been very successful. There are a couple of other players, but it is not one for the faint of heart.”

“And I think all the labs are scaling this up, and we are constrained by algorithmic research, compute, and data, and companies like Turing Advance the data pillar, NVIDIA advances the compute pillar, and of course the labs advance the algorithmic research pill…”

“Turing does this, where we are automatically crawling open source GitHub repos at massive scale We are also acquiring code assets from startups and other companies, and we are running those repos and figuring out pull requests where the test cases don't pass f…”

“I mean, I have a system at Turing that helps me run Turing, and this is a system that I built on top of one of the frontier models, and I didn't have to fine tune it. Like, all I had to do was intelligent management of context, memory, access to the right tool…”

“We would not build our own model. We don't want to compete with our customers, but we are building around the models so that enterprises can unlock the fullest value.”

“For example, I have a project at Turing that I run. I have a few agents running around to help me run Turing. The way I improve that code base is to also have an agent suggest to me, how should I improve the code base and to do it? So it's in a self-improvemen…”

“Most data companies don't see deployment, and most deployment companies don't see data. So Turing is the one company that works with the Frontier AI Labs and Fortune 500 enterprises, and we are a trusted bridge between research and deployment.”

“The bottoms up pincer is every human can now write software. My EA wrote software because I have a crazy schedule. Like I work a lot. I travel a lot. Like I'm always on. So it creates a lot of work. So my EA wrote Software to manage her EA team, and that softw…”

“OpenAI came to us when they were training GPT-III and they wanted to teach GPT-III to code. So we collaborated with them on teaching the models to code and to do tool use, function calling”

“The models are capable of so much more, but humans are still not extracting the fullest value from these models, especially in enterprise. In enterprise, I think first mile at last mile is still a problem.”

“You're seeing what the coding models today are capable of building end-to-end systems, like coding for days. Sometimes a week.”

“And very often we do find that the right kind of agentic products built on top of existing models is the right high ROI decision for most enterprises.”

“The, this method is the one, I think, which has a lot of legs in the, particularly the more you can operate in this particular paradigm of prompt and then these rule or rubric based verifier tuples. The, that is a very nice way for sort of creating synthetic d…”

“One prediction on way on which I, I'm just, I turned out to be wrong was I would have expected this kind of productivity gains to come all the way on the stack along the stack. Like I would have expected that, for example, the number of let's say good venture …”

“This whole thing started when yeah, when we started helping OpenAI you know, A little over about four years ago, like, since from early 20, 20 to long before chat GPT launched and the that is how we got started in this particular area.”