Krishnan: Agentic products on existing models offer highest enterprise AI ROI
“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.”
Krishnan: Turing began helping OpenAI train models in early 2022
“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.”
Krishnan: Prediction of a 10x AI-driven startup surge was wrong
“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 …”
Krishnan: Human-designed prompt and auto-verifier tuples maximize synthetic training data ROI
“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…”
Siddharth: Turing bridges frontier AI lab data and enterprise deployment
“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.”
OpenAI partnered with Turing to teach GPT-3 coding and tool use
“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”
Siddharth: Frontier AI models can autonomously build software systems for weeks
“You're seeing what the coding models today are capable of building end-to-end systems, like coding for days. Sometimes a week.”
Turing crawls GitHub and buys startup code for AI training datasets
“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…”
Siddharth: AI scaling is constrained by compute, data, and algorithmic research
“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…”
Siddharth uses self-improving AI agents to help run Turing
“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…”
Siddharth's EA built custom task-management software instead of buying SaaS
“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…”
Siddharth built Turing's internal OS on a frontier model without fine-tuning
“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…”
Siddharth: Enterprises fail to extract full AI value due to last-mile issues
“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.”
Turing avoids building proprietary foundation models to prevent competing with customers
“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.”
Turing works with seven of the eight frontier AI labs
“We work with seven out of the eight frontier labs.”
Siddharth: Data-driven feedback loops will be the key moat in AI
“I think one moat will be data-driven feedback loops.”
Siddharth: Frontier AI Training Demands Complex Reasoning and STEM Data
“The race to HGI is on, and the data needs of these models have shifted. These models need incredibly complex data for training them to get better at coding, advanced reasoning, STEM, etc.”
O'Shea: Turing Reaches $300M+ Revenue and $2.2B Valuation Profitably
“Three hundred million plus in revenue and profitable. Two hundred and twenty-five million in funding at a last valuation of 2.2 billion. A network of four million engineers and customers that include OpenAI, NVIDIA, Anthropoc, Google, Microsoft, Meta, Salesfor…”
Siddharth: Turing works with seven of the eight frontier AI labs
“We work with seven out of the eight Frontier Labs. We work with OpenAI, Anthropic, Meta, Google, Microsoft, Nvidia, Amazon, anybody that's building a Frontier Foundation model, we are probably working with them already.”
Siddharth: Turing Built Thousands of RL Gyms for Agent Training
“We built thousands of these reinforcement learning gyms to train agents.”
Siddharth: Turing's Agentic Coding Data Stumps All Current AI Models
“We are creating data for coding now, for agentic coding, that would stump all of today's models and agents built on top of those models.”
Siddharth: Agentic AI will replace services firms like McKinsey, BCG, and Accenture
“So I think like Turing will probably replace companies like McKinsey, Bain, BCG, and every services company like Accenture, TCS, Wipro, Infosys, like all of these companies doing vanilla services that's going to be automated with these agentic systems.”
Garg: Selling training data to frontier AI labs is extremely difficult
“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.”
Turing grew from $8M to nearly $100M ARR in two years
“Turing, which is growing crazy and about touching hundred million dollars ARR from eight in two years.”