The Ledger, every show

“I do think there'll be a general super intelligence, but I think that it won't be one lab that has built it, but it'll be kind of the plurality, like the collection of all intelligences will be a general super intelligence.”

“And so the way these language models are going to interact with any piece of software, not just Software engineering software, like Salesforce and other CRMs and creative tools and so forth. The majority of those interactions are going to be through function c…”

“What we're going to get to if we don't solve the comprehension piece is basically L-nine engineers with amnesia.”

“And that the combination of this you know, L-Nine with Amnesia and the L-Nine's context core will together, you know, that will become the principal level engineer, the AI engineer. And so I actually think that that's not too far away. That's I would say in, y…”

“We win over candidates over OpenAI and Anthropic Meta, DeepMind regularly.”

“Later this year we'll be shipping things that I don't think anyone ever thought a startup could do. Like, I think that we're going to be shipping some things on the research side that I think everyone thinks you need to be a giant lab with a 100,000 GPUs to do…”

“The next paradigm, and effectively the final paradigm that we need to have in place before a, you know, what people used to call AGI, or now I think the goalposts have shifted to ASI, is reached, is just figuring out how to scale reinforcement learning on top …”

“I think that where I think we'll be in a couple of years from now is that there'll be kind of definitive super intelligence in, Some meaningful categories of work.”

“And then from the startup side, I think it actually puts companies that Are in these kind of critical path categories like search and coding in a pretty existential place if they can't build their own frontier models. Not all frontier labs will be able to vert…”

“Actually going in and deploying it and building it for, you know, specific categories of work. There are going to be a lot of product and kind of research innovation specific to those categories that will probably make this a multi-decade thing. So I don't thi…”

“I think coding is this era as well. This one I think will take longer than people thought as well, because again, enterprise is organizational problems. There's much different than The benchmarks that we have today, but I think it will be one of the faster one…”

“Our core belief is that if you solve this problem, you solve the autonomous coding problem and build a super intelligent coding agent, that that thing will lead to super intelligence more broadly.”

“In the era of language models, I don't think you'll be able to train superintelligence from scratch.”

“Over the coming years, there'll be more kind of AI friendly or language model friendly UIs. And what's friendly to a language model is, is code. So the way a model will be doing work, not just for coding and software engineering, Is by basically making functio…”

“You can imagine you know, the world converging on a few companies have really powerful coding models. They basically release a nerfed version of that to the public at large, and basically have a competitive advantage by having, you know, a super intelligent co…”

“We realized that probably the form factor of an organizational super intelligence, like the thing that's really gonna help organizations get a lot of stuff done, is probably gonna be something like an oracle. Like an oracle that understands the entire organiza…”

“Every coding tool today is focused on the code generation piece”

“If you actually hover over a shoulder of an engineer at any large organization, or even a startup with a really sizable code base, and you look at what they do, you'll find that a minority of their time is actually spent coding. Like, 70% of the time they're D…”

“I think what, I think coding intelligence that builds better coding intelligence will Make algorithms more efficient, basically.”

“There is in some sense, we are probably at a L four kind of junior, junior engineer level of autonomy, which is pretty incredible.”

“The things that language models understand best tend to be the kind of piece of code that are represented on the internet. You know, maybe I don't think a lot of people would be happy with this, that maybe the kind of fundamental language of AI becomes Python …”

“I'm sure that other companies will converge on it as well.”

“And a lot of the project was in these big projects was not even on training the models. It was figuring out how the agents should actually interface with the environment that you're training it in.”

“When you look at the model card for, let's say, the O-one paper that came out, I think, last year. If you look at the distribution of what most people worked on, on that paper, it was evals.”

“Where if you want to change the agents, the team wide memory, then it probably is going to look something like a pull request where the person who really understands that system Approves or, you know, edits it or something like this. I don't think it's going t…”

“When you look at how fast like Anthropics revenue is growing I think, right, they're kind of in this spot where it's like a massive revenue generating business that's growing at an unprecedented rate.”

“Code forces and other competitive coding environments. The models are almost best in the world, and within the year will probably be just the best in the world.”

“I think I think there are going to be a lot of move 37”

“Deep seeks recent open sourcing of their various code components that they use to train that model, which I think outside of the big labs was not really well known to, right, it was not really well known how to write kind of a kernel that's optimized for this …”