Anthropic, every mention
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every year anyone Shawn Wang 179Alessio Fanelli 71Nathan Lambert 20Mike Krieger 13Lance Martin 13David Hershey 13Karina Nguyen 12Deedy Das 12Dylan Patel 11David Soria Parra 11
Verbatim, from the transcripts: the passages where Anthropic comes up
🔬They Thought the Model Was Broken — Matt McPartlon & Neil Patil, Chai Discovery
- ▶ 1:02:00 unnamed speaker Anthropic is single holding back science. 2 times in the scene
- ▶ 1:20:41 Neil Patil That'd be kind of like saying, hey, like all the enterprises that work with Anthropic, like you're not letting like Anthropic train on their data, so like you can't like build models that are good at enterprise workflows, right? 2 times in the scene
OpenAI’s Vision for the AI Super App — Akshay Nathan, OpenAI
- ▶ 54:14 unnamed speaker I'll say my, I know Anthropic offers this in Cloud Code.
The AI Frontier: from open weights to open research — Eiso Kant, Poolside AI
- ▶ 6:09 Eiso Kant Today, very obvious three years ago was not an opinion held or direction held at either OpenAI or Google or Anthropic or others.
- ▶ 53:06 unnamed speaker You know, we knew closed models, open AI and tropic were huge, but open models we had were like Mistral seven be a 30 be a 70 be not.
- ▶ 1:18:57 unnamed speaker Which I'll say, you know, you can see somewhat works looking at Anthropic. 3 times in the scene
- ▶ 1:25:39 Eiso Kant I mean, Anthropic struggled, you know, to raise their five hundred million dollar round. 3 times in the scene
- ▶ 1:38:21 unnamed speaker So, you know, should open AI anthropic open source models?
Podcast Crossover: AIE, AGI, frontier lab strategy with @matthew_berman and @swyxtv
- ▶ 5:20 Shawn Wang Yeah, people are very quick to complain about Anthropic. 10 times in the scene
- ▶ 19:26 Shawn Wang I mean, look, Anthopix is working on, ah, better inference.
- ▶ 21:51 Matthew Berman And then you, you know, you have Anthropic moving in different directions. 2 times in the scene
- ▶ 26:36 Shawn Wang yeah, Agent Labs get discounts from every model provider, and that's also very interesting when people compare public pricing of, like, a discounted cloud code from Anthopic versus what Anthopic does with Model Labs, with Agent Labs, and I…
The Future of AI Infra: from Kubernetes to Agent Sandboxes — Akshat Bubna, Modal CTO
- ▶ 45:33 Akshat Bubna Yeah, I mean, we're, um, very excited to partner with Anthropic and some of the other foundation labs, who we're also working with.
🔬 "The Most Innovative Diffusion Research Is Happening in Drug Discovery, Not Image Generation"
- ▶ 1:43:12 Brandon Anderson Is Anthropic actually throttling science because of GPU purchases?
The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin
- ▶ 1:02:28 Matei Zaharia And if you've seen the stuff on advisor models, uh, from Harvey, um, and Anthopic.
AI Security After Codex and Claude Code — Zico Kolter & Matt Fredrikson, Gray Swan
- ▶ 7:51 Matt Fredrikson The concern that the people we were working with at Anthropic had was how robust is, is this model to indirect prompt injection, right? 2 times in the scene
Why AI Labs With Unlimited GPUs Still Fail — Anjney Midha, AMP
- ▶ 14:14 Anjney Midha Um, like Periodic, you know, we put a few hundred million dollars into Anthropic from our fund earlier this year.
- ▶ 26:35 Anjney Midha Like, one of the reasons Anthropic has had extraordinary sort of velocity is because they picked the transform architecture and said, this is simple, let's double down on it, right?
- ▶ 34:54 Anjney Midha Because when I, if I've been, like, involved with a lab from day one, and I was lucky enough to work with Anthropic, and then I'm on the board of Mistral, and Black Forest Labs get started, I think at this point I'm on six or seven…
- ▶ 46:31 Anjney Midha yeah, yeah, Anthropic, they're just training models right now, but this one continued. 6 times in the scene
When AI Agents Run Businesses — Lukas Petersson and Axel Backlund of Andon Labs
- ▶ 2:17 Axel Backlund Yeah, so we did work, uh, with, like, Anthropic was one of our early customers in doing evals, so we did, like, dangerous capability evals, uh, nothing we published openly, but then we started thinking about doing some kind of public… 3 times in the scene
- ▶ 5:06 unnamed speaker Interested in, in the future of AI, interested in developing evals, but how the hell do you just like walk into Anthropics doors and like work with them, right? 5 times in the scene
- ▶ 18:02 unnamed speaker Especially humans who work at Anthartic. 2 times in the scene
- ▶ 42:48 unnamed speaker By the way, this makes the topic look so good. 2 times in the scene
- ▶ 56:13 unnamed speaker They're like, oh, this is a test or like dev mode on, or like I work, I work at Anthropic.
- ▶ 1:16:14 unnamed speaker And you're already working with, you know, Enthopic, DeepMind, OpenAI, XAI.
Scaling Past Informal AI - Carina Hong, Axiom Math
- ▶ 3:25 Carina Hong What is, what was Anthropic kind of like secretly working on back then? 3 times in the scene
- ▶ 5:14 RJ Haneke So do we know that, you know, Anthropic and OpenAI and everyone, they're not doing formal verification and using that for their rollouts and whatever?
Inside xAI: Building Grok Imagine in 3 Months, Videogen vs World Models, and Video Agents— Ethan He
- ▶ 1:28:24 unnamed speaker Anthropic, very, very good at coding.
Devin’s 80% Moment: Background Agents, 7x PRs, & End of Hand-Held Coding — Walden Yan & Cole Murray
- ▶ 15:11 unnamed speaker Uh, and then also recently, Enthropic did, like, manage agents, which is, this is their thing.
- ▶ 42:01 unnamed speaker Troll Anthropik. 3 times in the scene
- ▶ 59:32 unnamed speaker Uh, I, I don't know if this will get anywhere, but I wanted to maybe talk a little bit about the Cloud Code, um, uh, leak, because usually if I have an Enthopic person on, uh, I can't talk about the Cloud Code leak.
- ▶ 1:07:41 unnamed speaker I mean, uh, Anthropic has not officially adopted it.
⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind
- ▶ 19:55 Shawn Wang Anthropic has this sort of concept of superposition where you can store information in the smaller weights because it compounds with the other weights as well.
AI Agents Need Computers: 74% MoM Growth, 850K/Day Runs, & New Agent Cloud — Ivan Burazin, Daytona
- ▶ 44:57 Ivan Burazin To your point, like OpenClaw wasn't huge for us, but like having the agent SDK, uh, from Anthropic, so, or Claude, Claude code was very interesting.
- ▶ 1:03:38 Ivan Burazin And now you're using anthropic or, you know, or open AI or whatever through me, the, the SAS model.
The Agent-Native Cloud: 3M Users, 100K Signups/Wk, Data Centers, & Death PRs — Jake Cooper, Railway
- ▶ 1:26:17 Jake Cooper It's gonna be very, very interesting to watch, uh, you know, I, I think Anthropic is like an amazing company and like super, super stellar, and they're moving into a variety of different zones, right?
⚡️ Competing with ChatGPT and Sierra, building a $10M ARR company — Yasser Elsaid, Founder, Chatbase
- ▶ 13:04 Yasser Elsaid So we have a lot of customers using Anthropik and Gemini specifically. 5 times in the scene
- ▶ 16:58 Yasser Elsaid And then it goes back to open AI, Anthropic and Google. 2 times in the scene
AI-Native Engineering: 100% adoption, 5x search throughput, unlimited tokens — Mikhail Parakhin
- ▶ 1:05:53 Mikhail Parakhin But of course, Liquid AI is not at the scale of, uh, you know, Anthropic or Google or OpenAI in terms of compute.
⚡️ How to turn Documents into Knowledge: Graphs in Modern AI — Emil Eifrem, CEO Neo4J
- ▶ 20:55 Shawn Wang You can't fine tune an endopic model.
Notion’s Sarah Sachs & Simon Last on Custom Agents, Evals, and the Future of Work
- ▶ 3:39 Simon Last Yeah, we did partnerships at both Anthropoc and OpenAI at different times, uh, to try to, at the time, the, I mean, when we first tried, there wasn't even a constant of, like, tools yet.
- ▶ 26:34 Sarah Sachs And that's actually been a effort that we took in partnership with Anthropic and OpenAI in the past maybe two or three months, because we actually hit a point where our evals were saturated, and we weren't able to really give insightful…
- ▶ 55:32 Sarah Sachs Actually, believe it or not, um, Anthropic couldn't take it.
⚡️ The best engineers don't write the most code. They delete the most code. — Stay Sassy
- ▶ 35:41 Stay Sassy PM And I think that a lot of the power of AI for that sort of decision making characteristic of leadership is about the fact that the AI, well, at least right now, it depends on how many anthropic blog posts you read, but at least right now,…
Marc Andreessen introspects on Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different"
- ▶ 20:14 Marc Andreessen It was like a new venture, but like the money that's being deployed now at scale is Microsoft and, you know, and Amazon and Google and Facebook and NVIDIA and, you know, these, these, these, and now, you know, by the way, OpenAI and…
- ▶ 52:43 Alessio Fanelli It's like, oh, I built all the software using the open AI model and I'll switch to the anthropic model, but the anthropic model doesn't understand the thing.
Dreamer: the Agent OS for Everyone — David Singleton
- ▶ 43:47 David Singleton Um, for instance, we had LLM driven code review, uh, before the thing that got published from Anthropic this week, you know, we, we've been doing this stuff on our own bat.
Anthropic’s Felix Rieseberg on AI Coworkers, Local-First Agents, and the Future of Knowledge Work
- ▶ 6:02 Felix Rieseberg I think at Anthropic, we've been thinking about ways to move people who are comfortable with using cloud to answer questions and bring more of the power of like this thing to now like execute tasks for you, right? 3 times in the scene
- ▶ 13:05 Felix Rieseberg And in terms of architecture and UX and everything else that we've been working on Anthropic, it often is quite useful for you to like anthropomorphize, um, cloud aggressively and just be like, this is a person.
- ▶ 24:51 Felix Rieseberg And one thing that I, as an engineer quite enjoy is that like working in Anthropik and working at a frontier lab, I maybe have a little bit more insight into what's coming, coming down the truth in terms of like, what's the next model?
- ▶ 36:11 Shawn Wang Um, I, and I use, uh, I've used like all the other agentic browsers, and Enthropic didn't have to build an agentic browser because you just had Cloud Cowork and that's enough.
- ▶ 46:13 Felix Rieseberg Like, I don't think I'm the best person to like actually estimate which industry is going to be hit the hardest, but I do think that at Anthropic as a group of people, we're
- ▶ 51:09 Felix Rieseberg I mean, Anthropic is on the record as saying we do believe that the impact on the market is going to be sizable, and we do not think that people overall are ready, right? 2 times in the scene
- ▶ 56:45 Shawn Wang We went to the Anthropic office because for the launch event for computer use, like there was like this hackathon.
- ▶ 1:06:32 Felix Rieseberg Like even at Anthropic,
- ▶ 1:13:39 Shawn Wang Watch, uh, you know, I don't care about my own privacy or whatever, or I trust, I trust Anthropic.
- ▶ 1:26:03 Shawn Wang I guess the, the last thing is, uh, Anthropic Labs. 6 times in the scene
- ▶ 1:26:05 Shawn Wang Uh, I always have this mental model of a model lab versus, uh, agent lab, and this is basically Anthropic's internal agent lab, which cloud code, uh, is now under, right?
⚡️Monty: the ultrafast Python interpreter by Agents for Agents — Samuel Colvin, Pydantic
- ▶ 2:43 Samuel Colvin And then I spoke to maybe four different people at Anthropic and each of them independently. 4 times in the scene
- ▶ 33:17 Samuel Colvin I spoke to my friend, David Sora Pereira at Anthropic, showed him this, and he was like, yeah, this is exactly what everyone needs.
Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Eskildsen of Turbopuffer
- ▶ 37:38 Simon Eskildsen That's what, for example, Anthropic does.
Agent Inference at the "Speed of Light" — How NVIDIA moves like a $4.3 Trillion Startup
- ▶ 1:20:26 Shawn Wang Um, I think the, I think actually Enflopic released a more recent chart that showed, uh, cloud code autonomy from their production traffic numbers, and that was 20 to 45 minutes.
Why Every Agent Needs a Box — Aaron Levie, Box
- ▶ 12:37 Aaron Levie The actual developers of the AI are daily users of the, of the thing that they're working in versus like the, you know, probably it's only like seven Claude co-work legal plugin users at Anthropic any given day, but there's like a couple…
- ▶ 17:33 Aaron Levie OpenAI probably, uh, is hiring FDEs, uh, to go into the enterprise and then Anthropic is embedded at Goldman Sachs.
- ▶ 32:50 Shawn Wang Um, and Enthopic doesn't know it, like any, it's completely held out from Enthopic.
- ▶ 56:26 Aaron Levie We need to make Anthropic very unprofitable.
⚡️ Polsia: Solo Founder Tiny Team from 0 to 1m ARR in 1 month & the future of Self-Running Companies
- ▶ 11:09 unnamed speaker Let's provide everything to the user and let's focus on like a good, simple user experience so that like anyone can use the extreme power of the models that Entropic and OpenAI are building, but provide a super simple experience that like…
- ▶ 20:42 unnamed speaker And I really love that by the way, Antropic did a really good job on like the, the chat sort of like, um, uh, experience of talking to an AI.
Measuring Exponential Trends Rising (in AI) — Joel Becker, METR
- ▶ 43:08 Joel Becker I think that's something like five percent XAI, 50% opening I, 45% Anthropic.
Dylan Patel Explains the AI War While Cooking | In-Context Cooking
- ▶ 10:31 Dylan Patel He left, he left, uh, anthropic?
- ▶ 11:37 Dylan Patel Um, and so Americans think that they should control it, and maybe, maybe Anthropic thinks they're the good guys, not Americans as a whole. 2 times in the scene
- ▶ 25:21 Dylan Patel Um, you know, Anthropic doesn't just add two billion dollars of revenue in one month. 3 times in the scene
- ▶ 35:20 Dylan Patel Like, you know, there, there's huge spend for OpenAI and Anthropic and Google on training models, um, and, and the others are doing it too, like, uh, Amazon and such, uh, before they ever end up with enough revenue, uh, generating revenue…
- ▶ 53:42 Dylan Patel The person who was working on this before, unfortunately for them, but also a call out, they got hired by Anthropic, right? 2 times in the scene
Claude Code for Finance + The Global Memory Shortage: Doug O'Laughlin, SemiAnalysis
- ▶ 14:12 Doug O'Laughlin Weapons grade, uh, tool that you can do all the time, which is essentially Chachapiti, Anthropic, all this kind of stuff. 2 times in the scene
- ▶ 30:04 Shawn Wang So, first of all, I wanted to give a shout out to this thing from Enthopic Research, where they were like, here's our production traffic.
- ▶ 1:07:48 Shawn Wang I think we're there, you know, Stargate plus Anthropic plus whatever.
- ▶ 1:16:54 Doug O'Laughlin Anthropic is so good is because all of this token efficiency, the token efficiency is better than chat GPT, all this stuff, blah, blah, blah, blah.
- ▶ 1:35:27 Doug O'Laughlin I think the perspective of doing this externally with, with Anthropic is to gain market share because the biggest gap you have, um, and, and one of the reasons why there hasn't been a second merchant ship, and also you can argue 2 times in the scene
Inside AI’s $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z
- ▶ 9:47 Martin Casado Question that we don't know the answer to, which involves the frontier models, which is, let's take Anthropic. 3 times in the scene
- ▶ 12:34 Sarah Wang Um, and I think a lot of the big, I think, you know, OpenAI is feeling that, um, Anthropic, if they haven't started, you know, felt it, certainly given the success of their products, they may start to feel that soon.
- ▶ 28:09 Shawn Wang You gotta wonder what the whole, like, Anthropic Labs, which is like their new sort of products studio, what would that be worth as an independent, uh, startup, you know? 6 times in the scene
Goodfire AI’s Bet: Interpretability as the Next Frontier of Model Design — Myra Deng & Mark Bissell
- ▶ 2:17 unnamed speaker Yeah, I would say it's, it wasn't too long ago that Enthopic was like still putting out like toy models, a superficial position and that kind of stuff.
- ▶ 12:15 unnamed speaker It was from the Anthropic Fellows program, where basically,
- ▶ 29:58 Mark Bissell You know, Anthropic certainly has some, some research and yeah, other, other teams as well, but it's, it's nice to see these techniques, you know, being put into practice. 2 times in the scene
- ▶ 36:48 unnamed speaker This is one of the questions we asked Emmanuel from Anthropic on the podcast a few months ago.
- ▶ 40:39 Myra Deng And so those are great places to get started if anyone is, is interested.
- ▶ 42:27 unnamed speaker The conspiracy theory last two years ago was when the first SAE work came out of Anthropic was they were like, 2 times in the scene
Captaining IMO Gold, Deep Think, On-Policy RL, Feeling the AGI in Singapore — Yi Tay
Artificial Analysis: The Independent LLM Analysis House — with George Cameron and Micah Hill-Smith
- ▶ 30:09 Micah Hill-Smith Like, one of the things that we saw in the hallucination rate is that Anthropoc's Claude models at the, the very left-hand side here with the lowest hallucination rates out of the models that we've evaluated Amnesians on.
[State of Code Evals] After SWE-bench, Code Clash & SOTA Coding Benchmarks recap — John Yang
[State of Context Engineering] Agentic RAG, Context Rot, MCP, Subagents — Nina Lopatina, Contextual
- ▶ 14:06 Nina Lopatina I think, uh, Anthropic has had some really great blogs in this space. 4 times in the scene
- ▶ 20:48 unnamed speaker I would say that both Amthropic and, I think, OpenAI and maybe Gemini as well, they're all doing, like, compaction inside the model with the, the, uh, each, literally each of their Frontier releases.
[State of Post-Training] From GPT-4.1 to 5.1: RLVR, Agent & Token Efficiency — Josh McGrath, OpenAI
- ▶ 10:43 unnamed speaker Like, what are, what are, you meet your, your peer at Anthropic and DeepMind and, like, what, what are you talking about? 2 times in the scene
[State of RL/Reasoning] IMO/IOI Gold, OpenAI o3/GPT-5, and Cursor Composer — Ashvin Nair, Cursor
- ▶ 32:08 Ashvin Nair The anthropic, uh, models, like the, uh, Opus two, 4.5, it has this kind of like, uh, there's this like RKGI two plot that looks exactly like the API ones, right?
One Year of MCP — with David Soria Parria and AAIF leads from OpenAI, Goose, Linux Foundation
- ▶ 0:17 Shawn Wang Uh, welcome back, David from Anthropic slash MCP. 3 times in the scene
- ▶ 4:21 David Soria Parra Um, that the group that is founding this, like for, for us, it's the first time we at Anthropic have an open source foundation. 2 times in the scene
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