Anthropic

“While those are the two that I can say are, yes, publicly, like, we have leveraged both of those partners”

“It's already awesome that Mistral was able to raise that much, that Toolside is able to raise that much, but it's a trickle compared to what Open Air is raising, compared to what Anthropik is raising.”

“Before we launched, we worked with about a hundred companies helping them hire and scale their teams. So some of our sort of early customers pre-launch were companies like Inflection, Anthropic, Sandbox, U.com public companies out there as well as some early s…”

“We are using Anthropic, we are using OpenAI, we are using Google, but for that one, we released Anthropic.”

“Yeah, I think you have to create a layer on top of these at a minimum, right in the end, whether Entropic or OpenAI, you know, they're companies, right, they sometimes have stability issues, right, if they're down, so what they're gonna do about that? Since ou…”

“One very concrete example is Anthropics, quite good for legal types of reasoning and like just kind of connected to some of their morals and ethics and so on. And so that those questions are often better routed to a Claude-like model from Anthropics.”

“We officially support Gemini family. We support anthropic, you know, variety of cloud models and then support open AI and the GPTs.”

“I think that stickiness, I don't think it's a network effect.”

“But nowadays when you ask Claude Code Anthropics agent to deploy, They use for sale because we had, you could argue accidentally created the perfect tool for an agent to deploy.”

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

“Pretty soon after we launched it, most of Anthropic was a daily active user”

“And so quad code actually doesn't use this technique called rag. Instead, what it does is it just searches files the same way that a human would.”

“We landed native Windows support recently, and we're working on single file distribution, so you don't need a Node.js anymore.”

“Generally our bar is if we find ourselves really happy with it and we find ourselves using it every day, then we release it to everyone.”

“You know, at this point, most code at Anthropic is written using quad code and almost everyone at Anthropic is using it every day.”

“Expect a lot more agents. So, you know, be able to launch agents, agents managing agents and a lot more kind of freedom, freedom this way”

“We started building quad code when it was still Sonnet at 3.5 and it was okay. And then with, you know, 3.6 and 3.7, it was still, it was fine. It was pretty good. But then when Sonnet four and Opus four came out, that's when it really hit its stride and we fe…”

“Maybe coding is the way that we get to the next level of intelligence. If you call it like AGI or ASI or whatever, the model needs some way to interact with the world and for a model, the natural way is code.”

“The data scientists at Anthropic all use quad code to write their queries, and designers use it to build small prototypes, and product managers use it to manage tasks.”

“It doesn't use any services except the API itself. So that's all it needs. And then everything else you actually don't need. And this is one of the nice side effects of not doing code base indexing or anything like this is it's just very easy to hook up to.”

“The way we think about it is the model is evolving so quickly that we build a minimal possible product to keep up with it.”

“One of the reasons that we release cloud code is just to learn how people use it, and to learn how to make this thing safe, to learn how it behaves in the wild, so that we know what to do next.”

“And what we saw is adanthropic technical onboarding used to take a few weeks, but now engineers are usually productive within the first few days.”

“For Quadco, there's two pricing models today. One is you can get a subscription. There's Pro, and then there's Max, and this is I think it's 20 bucks a month, hundred bucks a month, or 200 bucks a month, and it has very, very generous rate limits.”

“The fastest route, or like, the most immediate one is whenever we see a really good blog post where people have, like, done incredible amount of work in an independent fashion, it's one of the highest signal things there is.”

“If coding agents progress in the way I've been saying, in a year or two, you'll be able to manage a team, basically, that works 24 seven for you doing work.”

“Over the next six months, over the next year, expect dramatic progress here. And like look at where we are now versus where we were a year ago. And the difference is I expect the same jump basically.”

“Like really for the last five or six years, Anthropics ethos has been scaling compute with broadly the current set of techniques is like AGI is tractable within those bounds.”

“We think that, you know, AGI is within reach in the next couple of years.”

“Anthropic has been laser focused on on two things. One is, like, long-term AI alignment, and two is near-term economic impact. So Anthropik has been laser-focused on coding and computer use, and things that we think will make a direct impact to the economy, li…”

“We think that one of the most important signals of whether or not we are basically the speed of takeoff, the speed of progress is driven by how much AI is able to assist AI research.”

“It's one of the things that at both Anthropic and at DeepMind we really tried to build, which is like a culture of safe experimentation where People were trusted to explore ideas for a long time out in the wild. Cause you often need months of independent resea…”

“A really high ROI use on, on your time would probably be to just go and look at the data and think hard about what, like the model is learning or doing and like make some tweaks that makes it like, there's so many, like you could even just The simplest things …”

“I once asked this question of Noam Chazier. And he was like, yeah, maybe like 10% of my ideas work, and that's not, right? You know, one of the, you know, an absolute genius, one of the best in the field. So if only 10% of his ideas work, then I think that, yo…”

“You know, one thing that Anthropik, like, You noticeably hasn't focused on compared to DeepMind and to OpenAI is is mathematical reasoning, right? DeepMind and OpenAI have been pursuing mathematical reasoning because of the implications for science and for sci…”

“There's now this two paradigm regime where previously you did free training scaling and reinforcement learning scaling, and now we're in a mix of the two basically. And so I think that gives you more opportunities to update models because it means that you can…”

“One of the things that we're pretty happy with about the recent launches, we've finally taught the models to use what's called memory. And so, and we've built that into the agentic harness. So it's able to create a markdown file of to-dos and things that it th…”

“And in this case, the model replicated Claude.ai with artifacts, with everything else I can't quite remember how long that one took. Maybe a couple hours to do.”

“One of the interesting things about this most recent release is actually Sonnet is smarter than Opus.”

“We moved recently from roughly 72 to roughly 78 in Sweepbench”

“Coding is a uniquely tractable problem in some respects for the techniques that we have in terms, the data exists in many ways. You can containerize and run things in parallel. You can run unit tests, and so you can verify.”

“I think nowadays, with the capabilities of, like, you know, top, probably cloud models, top OpenAI, GPT models, You don't need to do any fine tuning. You can take the model as is, ride your own tools, your own harness, and benefit from that agentic training. B…”

“In a year from now, maybe two years from now, it's the top models are going to be able to work completely on their own for like a whole day or more”

“If you look at OpenAI, if you look at Anthropic, if you look at Google, those evaluations, those revenue numbers are actually fairly conservative.”

“And then there was a biggest settlement that happened in the last few months with Anthropic that agreed to pay out one and a half billion.”

“You can see that the more capable the models are, the more likely they are to do this deception behavior.”

“In my mind, Antropic has the best culture of the three places.”

“In order to get those behaviors out of the models, you need to create somewhat of a contrived scenario or some special scenario. It's not necessarily something that we observe normally.”

“Industry is really great at executing on ideas and it's maybe not as good at, like, exploring diverse ideas. Even at the scale of Anthropic OpenAI there is a lot of focus in the companies, and there isn't a lot of bandwidth to do exploration, and that has been…”

“So we are still pretty far from the dream that we will Fully understand everything that happens in the model, but these tools are becoming increasingly more useful internally at Anthropic in particular, and also there is constant progress, and it's pretty fasc…”

“I think in my understanding, that's mostly A concern that we have, but not necessarily a huge practical issue at the moment.”

“Because OpenAI has a better RL stack than Anthropic today, it's just their pre-trained models suck compared to Anthropic's pre-training, right?”

“OpenAI's new model, I think, will be better than Opus 4.5, and it's coming, like, somewhat soon in March-ish timeframe, maybe February, March-ish, but”

“He used, like, 10,000 dollars of Claude in one week and built an entire RTS from scratch about, like, but instead of, like, being a standard RTS where it's like, oh, Age of Empires where you advance through ages or Starcraft, it is an RTS where it's China vers…”

“Flip side, Google has a better pre-trained model than Anthropic or OpenAI, but their RL stack sucks.”

“I think the industry could hit a hundred billion ARR by the end of this year, like 45, 50 for open AI, like 35, 40 for anthropic.”

“Opus 4.5 on Claude code is a new moment where the way you work has forever changed.”

“Ultimately the capex that Microsoft spent in 2024 for OpenAI is what results in 2025 for OpenAI or CoreWeaver or whoever is what results in their models being so good this year. Same with Anthropic and Amazon Google and their models now being so good now is th…”

“We have an indicator internally at Anthropic where you see how many people actually write code now. There's only a few holdouts left.”

“It doesn't actually use the tools that are RL into the model. So like anthropic models have some like file editing tools. They have a completely different set of tools in, in the actual harness.”

“Not really. I mean, this week they've got all the fire, they've got all the juice, whatever the word is. I don't know. This week, next week, it'll be something else.”

“No, no one will vibe code their own ERP or their own frame.io, but they may ask Anthropic or Gemini or ChatGPT, can you do this thing for me?”

“Yeah, so Project Glasswing is a project that is attempting to give the people and the companies that provide much of our software infrastructure sort of the very foundation. The Linux Foundation is an example that is pretty close to my heart as a member of the…”

“So for now it's a preview model with its own, in its own category.”

“My team sprinted on this for, I think, the last 10 days or so, which is accurate.”

“I don't think we should teach people that they should trust a singular company with all of their passwords.”

“My prediction is going to be That we are going to have a lot more software. That software is probably going to be slightly more specialized. I don't think everyone is going to build their own software. I think people will still build things and, like, share th…”

“If someone beats me, Felix, at like building very good products, I suspect it's going to be not because they built a better model, but likely because they figured out a better user experience.”

“And I think there's an alternative universe in which maybe a company with a less steady hand would have Race to get it onto the market as quickly as possible, put a very expensive price tag on it, and just like reap the benefits.”

“Skills are essentially just markdown files that explain to the model how to do things.”

“MCP connectors are underrated.”

“The very genesis of it was, what if Cloud, but instead of, like, in the cloud, it's running on your computer in your terminal. That, that is almost entirely UX. It's the same model. It's the same core capabilities.”

“We often say that models are more grown than built out of the nature of how these language models are being made. So you don't always know ahead of time necessarily what are they going to be very good at, what are they maybe going to be bad at.”

“What we've done is we've taken cloud code and we've given cloud code a virtual machine That Claude can use to run its own code.”

“So in the short term, I want to make it very possible for Claude to meet you where you're working. If you're working on your local computer, that's where Claude should be.”

“Most of the buttons you add and most of the product services you build are probably more for the human than they are for the model.”

“We probably have easily a hundred different prototypes of like various applications inside the company right now.”

“I would probably recommend first not to actually build your, not to build too much of your own infrastructure and use a product that we've launched today called Cloud Managed Agents that make this particular case very useful.”

“And I can, there's one example we have published, which is that the model was put into a little sandbox, a little, like, technical container, and it was given the task to, like, maybe break out, and the researcher went away for lunch, and, like, during lunch w…”

“It's in the harness, actually, and it's, like, often surprising to people when I talk to them how we, how we've implemented memory, because I think it maybe points at the simplicity underneath all of those models. Memory is just text files.”

“We tend to plan not more than a month out.”

“Mythos is a unreleased frontier model. It's a general purpose model that was trained not specifically for cybersecurity or specifically for coding or specifically for software, but we have discovered what we believe to be outsized capabilities specifically in …”

“I always thought That it would really help, ah, kind of your reasoning abilities if you have a lot of multimodal data And I still think this, but for example, like if you look at entropic models, they tend to not be that good on multimodal, and they are still …”

“Anthropic, again, another big customer all of Cloud.ai sits, sits on top of us.”

“They are behind in chips. But their approach was at the next level is open source models where they're producing some extraordinary models. Not as good as GPT or Anthropic or Google's Gemini, but very good.”

“I think two years ago every state of the art model was trained in a Cuda flow. And right now, Gemini is trained without Cuda. Anthropical is trained without Cuda. Open AI as strange as could. So in a one or two year period, they lost 70% share. Of training mod…”

“I would say they were Opus III, which I think goes underappreciated, but I think was the first model to truly be able to like actually understand that long context. Before, if you put anything in the, like, 80,000 tokens in the GPT-IV Turbo, it could not under…”

“I think that the AI company CEOs understand that they're on the path of building wildly smarter than human systems, like super intelligent AI systems. They understand that we don't really have a like clear thought through plan for how to manage the risks from …”

“It turns out that Opus three, which was a model that I was studying, had a relatively strong propensity to do this in a reasonably wide range of circumstances where if it didn't like the thing that you were training it to be, it would sometimes sort of pretend…”

“Yeah, so I would say it's like, certainly bad for the power of OpenAI and Anthropic, probably bad for their valuation, but not catastrophic for their business.”

“The few large closed labs, Anthropic and OpenAI, took almost everything they could from the open internet trained a model, but then the Chinese open source companies basically siphoned a lot of that knowledge out of those closed source models by distilling it.”