OpenAI, every mention
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Verbatim, from the transcripts: the passages where OpenAI comes up
Orbs: Shifting Coding to Cloud — Quinn Slack, Amp Code
- ▶ 5:03 Shawn Wang Surprisingly, Codex hasn't quite done it.
- ▶ 33:35 Shawn Wang I, for what it's worth, Codex has been my CMO for the last like two months. 3 times in the scene
Faster Chips That Don't Melt — Anima Anandkumar & Benedikt Jenik, Accelerated Understanding
- ▶ 1:29 Benedikt Jenik And then OpenAI came along and was like, let's just put everything into one model.
The Inference Frontier: from 100 to 10,000 tokens per second — Sean Lie, Cerebras CTO
- ▶ 1:45 unnamed speaker OpenAI talks about Jalapeno, all the, all the hot stuff in Hot Chips.
- ▶ 7:24 unnamed speaker Now, like, literally, OpenAI is, like, launching the ultra-fast mode with you guys, and, like, it, it is a matter of, like, I don't know, like, you're, you're co-designing your model with the chip almost. 3 times in the scene
- ▶ 12:08 unnamed speaker So you have a deal with OpenAI over the next few years. 18 times in the scene
- ▶ 15:54 unnamed speaker Pre-fail jalapeno? 6 times in the scene
- ▶ 17:33 Sean Lie And that is 100% the future of our industry, and it's not surprising to see that OpenAI is kind of leading the way here, because this is, 3 times in the scene
- ▶ 26:13 unnamed speaker Like, I, the fact that, like, I want it, and I can't pay enough for it, um, I, it might have been a mistake for OpenAI to offer it, even. 3 times in the scene
- ▶ 43:38 unnamed speaker I hope you didn't buy us OpenAI too much to, you know, just keep it internally. 2 times in the scene
⏭️ Forward Deployed: Voice AI on what works in 2026
- ▶ 22:50 unnamed speaker Um, so you could typically go, uh, you know, to your, uh, 4.1 and open AI or your deep gram for transcriber, and that typically worked well.
- ▶ 36:13 unnamed speaker I'm not sure if everyone faces this, but like, um, OpenAI APIs spike and then, um, you have no control on those latencies.
Simulating Humanity: from Generative Agents to 8 Billion Digital Twins — Joon Sung Park, Simile AI
- ▶ 1:04:51 Shawn Wang Can we just, OpenAI, this is like, just trivia now, like, OpenAI or
- ▶ 1:08:59 Joon Sung Park And we are, it's actually quite fun because many of them then had gone on to OpenAI, Google Gemini and these places.
🔬They Thought the Model Was Broken — Matt McPartlon & Neil Patil, Chai Discovery
Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
- ▶ 9:06 Shawn Wang At some point in the opening, I had released a thing that was like, yeah, if you want to constrain your output, write BNF grammar, uh, back as nor.
- ▶ 1:06:49 Shawn Wang So like the OpenAI, Broadcom, whatever, Jalapeno chip, which like totally makes sense.
OpenAI’s Vision for the AI Super App — Akshay Nathan, OpenAI
- ▶ 1:32 Shawn Wang Okay, we're here in the studio with Akshay from OpenAI. 5 times in the scene
- ▶ 7:24 Akshay Nathan I think maybe the one, one like impetus that like is most salient is when we release codex or even internally add codex. 7 times in the scene
- ▶ 7:34 Akshay Nathan Um, I think we recently put out some stats on this, but there was this like real inflection of like adoption among non-developers at OpenAI.
- ▶ 11:08 Shawn Wang Is the Codex harness and the ChatGPT work harness the same? 5 times in the scene
- ▶ 17:54 unnamed speaker I think alongside that, outside of just harness and when to use Codex, HTTP, or work, there's also the new models you've released, right? 2 times in the scene
- ▶ 21:58 unnamed speaker This is work, and then Codex is still cooking, so we'll get back into it. 2 times in the scene
- ▶ 22:14 Shawn Wang He's part of the OpenSignport team.
- ▶ 33:10 unnamed speaker And yeah, I did it with, uh, did it with Codex, not work, but it's interesting, right? 3 times in the scene
- ▶ 40:16 Shawn Wang Presumably at OpenAI, people are obviously more open to being basically rated by GPT. 2 times in the scene
- ▶ 40:50 Akshay Nathan Because of Codex, 2 times in the scene
- ▶ 43:36 Akshay Nathan Like I said, we saw the magic of Codex internally, and then we're, like, extremely excited to bring this to many more people and to see it working, to, like, see us reach, you know, the distribution goal, I mean, um, numbers that you… 6 times in the scene
- ▶ 46:07 Shawn Wang One big, another, I mean, it's July of 26, one big thing that also happens in, uh, for OpenAI was OpenClaw, and that's, I think, a lot of people's first time really maxing an agent for personal
- ▶ 46:30 Shawn Wang Were there any lessons you took from Open Claw to Codex or back, whatever?
- ▶ 57:58 unnamed speaker How do you see the side of, okay, when you're building ChatGPT for work different than the regular chat app, different than Codex, managing memory across different projects, um, collaboration and whatnot, how do you see the, the side of…
- ▶ 1:02:00 Shawn Wang There's a lot of, like, ex-founders in the, in the community, uh, and in OpenAI as well.
- ▶ 1:10:06 Akshay Nathan Like you wrote, we were talking about like, can we open AI, like figure out how to measure productivity for our users?
The AI Frontier: from open weights to open research — Eiso Kant, Poolside AI
- ▶ 4:42 Eiso Kant I have a lot of respect to folks at Google and OpenAI and others who kind of took that confidence and, and, and kept going.
- ▶ 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.
- ▶ 1:19:02 unnamed speaker OpenAI has a lot of vision, multimodality.
- ▶ 1:23:17 Eiso Kant Uh, and we were discussing an open AI Microsoft style deal with this big tech company. 3 times in the scene
- ▶ 1:38:21 unnamed speaker So, you know, should open AI anthropic open source models?
🔬 RL with Verifiable Rewards, but the Verifier is a Lab — Lila Sciences
Why AI Agents Don't Actually Understand You — Danielle Perszyk, Amazon AGI Lab
- ▶ 30:49 unnamed speaker He's kind of like in charge of the multi-agents team in OpenAI.
Podcast Crossover: AIE, AGI, frontier lab strategy with @matthew_berman and @swyxtv
- ▶ 2:21 Shawn Wang Um, I think also the last thing was getting a big lab to come, and for us it was Logan and OpenAI at the time, and I think a big part of our rally proposition now is that we can get all these labs to show up at a neutral place where they…
- ▶ 7:46 Matthew Berman Let's talk about open AI. 5 times in the scene
The Future of AI Infra: from Kubernetes to Agent Sandboxes — Akshat Bubna, Modal CTO
- ▶ 5:50 unnamed speaker Like, if you were to build something today, DevEx is obviously very important, but I feel like, you know, a lot of this has kind of been changed with just hook it up to an agent, have Cloud Code, have Codex, implement the tool.
- ▶ 45:22 unnamed speaker Gemini, OpenAI, Claude.
- ▶ 54:32 unnamed speaker Uh, and, but, you know, and then, then they joined OpenAI and, uh, presumably we'll, we'll see,
- ▶ 54:38 unnamed speaker Codex cloud from the owner team, which, which I think would be very, very strong.
- ▶ 55:41 unnamed speaker Other people, Astro, also OpenAI, also, like, Python tooling ecosystem people, are you still sort of bullish, building on top of Python, also recently Modular also, uh, got bought by Qualcomm? 2 times in the scene
Cooking with OpenAI’s Research Chief: AGI, o1, Evals, and Scaling Laws — Mark Chen
- ▶ 0:19 unnamed speaker Today, we have a very special guest, the chief research officer of OpenAI, Mark Chen. 2 times in the scene
- ▶ 1:52 unnamed speaker So, in a previous life, you were once a trader, and even Sam, I think, last year in April, also tweeted about how if you're a high-frequency trader, you should consider joining OpenAI, because, you know,
- ▶ 9:09 unnamed speaker And I guess from your perspective, that's like the research, like leading things in OpenAI. 3 times in the scene
- ▶ 10:30 Mark Chen Yeah, and, um, you know, the first breakthrough that we launched in the world here was O-one, but it wasn't easy to get that off the ground because one
- ▶ 11:25 Mark Chen You know, what's, what's really cool about OpenAI is, um, research, it feels like a meritocracy. 2 times in the scene
- ▶ 14:52 Mark Chen Yeah, so I think really in the spirit of, um, of focus, so one, one narrative you might have heard is, you know, we're, we're really focusing our vets at OpenAI, and, um, we're also trying to do a little bit more, uh, directive compute… 3 times in the scene
- ▶ 20:51 Mark Chen Great thing about tools like Codex is they really enable the fast iteration of evals.
- ▶ 33:08 Mark Chen Um, I think both at OpenAI and at other labs, um, you're starting to see a lot of the work become mostly orchestration focused, right? 3 times in the scene
The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin
- ▶ 3:51 Matei Zaharia Uh, they built something called Isaac that's basically like a wrapper on cloud code and, and codex and, uh, let's you use them either on the web and like,
- ▶ 7:14 Reynold Xin Uh, from the moment I woke up to like the moment I went to bed, I was like looking at my class sessions, my codec sessions.
- ▶ 15:46 Matei Zaharia You know, the thing we did is we, we could get you that on top of like cloud code running in a terminal codex, you know, PI, OpenAI SDK, all that stuff.
- ▶ 15:46 Matei Zaharia You know, the thing we did is we, we could get you that on top of like cloud code running in a terminal codex, you know, PI, OpenAI SDK, all that stuff.
AI Security After Codex and Claude Code — Zico Kolter & Matt Fredrikson, Gray Swan
- ▶ 4:44 Zico Kolter And if you find vulnerabilities in the agents that everyone uses, right, things like codex and cloud code, you can actually start to now essentially have a new exploit, a new class of exploit.
- ▶ 34:08 unnamed speaker Release their own, like, you know, Llama has one, OpenAI has one, Google has one.
- ▶ 43:32 Matt Fredrikson But if agents are, you know, if Claude and Codex are writing our code for us, like, and they're good,
- ▶ 48:20 unnamed speaker But that is exclusively what I use, uh, like Codex, computer use, Cloud Cowork. 2 times in the scene
- ▶ 56:12 Zico Kolter Front of mind for Frontier Labs are going to become front of mind for everyone, for all enterprise as they adopt tools like Codex, like Cloud Code, like Open Claw.
⚡️Every product of the future will be a living system — Ronak Malde, Trajectory.ai
- ▶ 3:45 Ronak Malde And then if you remember at the time, like we, everyone thought that open AI would acquire windsurf, like the, the news had come out and everything. 4 times in the scene
- ▶ 14:57 Ronak Malde You can already see, like, um, I mean, GPT-OSS was kind of one of the best base models a year ago that OpenAI put out, uh, in the Western world. 2 times in the scene
- ▶ 22:30 Ronak Malde We've hired an amazing research team from OpenAI, from MetaSuperintelligence, from Amazon AGI, and then obviously the co-founders from DeepMind and Apple, and then also really growing out the product team as well.
Why AI Labs With Unlimited GPUs Still Fail — Anjney Midha, AMP
- ▶ 7:19 Shawn Wang You talk about aligning incentives, um, and, you know, I would think that aligning incentives means you have the full stack in one company, which is XAI and OpenAI, right?
- ▶ 49:18 Shawn Wang There's numbers on their burn compared to OpenAI. 2 times in the scene
⚡️Making DeepSeek v4 outperform Opus 4.7 with Taste — @AhmadAwais , CommandCode.ai
- ▶ 6:00 unnamed speaker And also, I think frame the problem for people who maybe are only used to OpenAI, right?
When AI Agents Run Businesses — Lukas Petersson and Axel Backlund of Andon Labs
- ▶ 0:00 Lukas Petersson Gemini and OpenAI don't behave this way.
- ▶ 46:32 Lukas Petersson And I think one interesting thing is that like, OpenAI models don't. 2 times in the scene
- ▶ 51:40 unnamed speaker And, but like, I guess the fact that it happens at all, and it happens repeatedly for Claude versus OpenAI notice is, is like, notable. 4 times in the scene
- ▶ 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
- ▶ 3:29 Carina Hong And everyone knows they're working on coding, like OpenAI, Meta, Accent.
- ▶ 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?
- ▶ 1:05:12 RJ Haneke I was surprised that that like when, when O-one was, you know, everyone knew O-one was coming, but it didn't, hadn't come out.
- ▶ 1:05:37 Carina Hong These are all formal math work at OpenAI. 3 times in the scene
Satya Nadella on AI: @NoPriorsPodcast x Latent Space Crossover Special at Microsoft Build 2026
- ▶ 5:29 Satya Nadella and, you know, when, you know, even the OpenAI partnership came about when those folks said, hey, we're going to really throw a lot of computer transformers, uh, and they've helped, right?
Inside xAI: Building Grok Imagine in 3 Months, Videogen vs World Models, and Video Agents— Ethan He
- ▶ 40:47 Shawn Wang To me, that was actually one of the most impressive papers I've ever seen from OpenAI.
- ▶ 1:25:22 Ethan He And from there you gradually evolve to codecs and cloud code where you do things fully automated.
- ▶ 1:25:57 unnamed speaker I don't know if this is something you guys benchmark, but like, this is just a tangent compared to, uh, when I used to use before the latest OpenAI's image gen,
- ▶ 1:28:40 unnamed speaker Other labs, Gemini, OpenAI, XAI, you can add modalities, but it's not like they're unlocking crazy capabilities, right?
Devin’s 80% Moment: Background Agents, 7x PRs, & End of Hand-Held Coding — Walden Yan & Cole Murray
- ▶ 5:20 Cole Murray Openinspect came about, uh, through primarily my clients observing how they were using tools like CloudWeb, um, OpenAI's codecs at the time, and seeing some of the friction that they were having with it.
- ▶ 5:20 Cole Murray Openinspect came about, uh, through primarily my clients observing how they were using tools like CloudWeb, um, OpenAI's codecs at the time, and seeing some of the friction that they were having with it.
- ▶ 15:02 unnamed speaker I was gonna just bring out, I have this, like, chart from OpenAI, uh, where I don't know if this is, like, in the box, out of the box.
- ▶ 43:59 unnamed speaker Make one super minor pushback, because I don't feel that confident about it yet, but I've, I've had Ryan Lopopolo from OpenAI on the pod, and he's a super slop cannon, right?
⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind
- ▶ 4:19 Omar Sanseviero And they should say integration with offline models using Lama CPP or BLM or any OpenAI compatible endpoint.
AI Agents Need Computers: 74% MoM Growth, 850K/Day Runs, & New Agent Cloud — Ivan Burazin, Daytona
- ▶ 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. 2 times in the scene
The Agent-Native Cloud: 3M Users, 100K Signups/Wk, Data Centers, & Death PRs — Jake Cooper, Railway
- ▶ 29:56 Jake Cooper Yeah, so, so I think, um, the CLI changes because the way that we think about this is, like, how do you give Claude or Codex or Chat or, like, whatever, like, any of these models almost, like,
- ▶ 1:16:05 Shawn Wang OpenAI acquired Statsig.
Inside Abridge: The AI Listening to 100 Million Doctor Visits — Abridge's Janie Lee & Chai Asawa
- ▶ 23:45 Shawn Wang Or is there some more native, like genuinely real-time in the sense that OpenAI has a real-time API or Gemini has a real-time API?
🔬How GPT‑5 derived new results in theoretical physics and quantum gravity — Alex Lupsasca, OpenAI
- ▶ 0:56 unnamed speaker Um, yeah, it's a pleasure to introduce Alex Lubczowska, professor at Vanderbilt University and fellow at OpenAI. 2 times in the scene
- ▶ 2:15 Alex Lupsasca Um, in particular, ChadGPT-O-III was the first really strong reasoning model that could do actual math that was useful for my research and could save me a lot of time. 2 times in the scene
- ▶ 3:03 Alex Lupsasca I think people weren't quite getting it, but I talked to OpenAI. 4 times in the scene
- ▶ 3:43 unnamed speaker Sorry, I was gonna say, like, I, I find it really funny that you, that story, because it almost, it reminds me of a lot of different, um, people who had the same realization with codex. 4 times in the scene
- ▶ 19:55 Alex Lupsasca Well, maybe we'll get into how I ended up at OpenAI a little bit later, but I ended up at OpenAI, started to improve the model's abilities to do physics. 3 times in the scene
- ▶ 35:38 Alex Lupsasca But part of my work at OpenAI has been to develop stronger physics capabilities in the models. 3 times in the scene
- ▶ 47:46 Alex Lupsasca Another really cool thing is that for this paper, we didn't have to use an internal OpenAI model that had to think for hours.
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