OpenAI, every mention
333 scenes, the whole family · ← back to OpenAI
tap a year for its mentions
every year anyone Matt Turck 287Dylan Patel 25Yann Dubois 16Benedict Evans 14Stanislas Polu 12Aravind Srinivas 12Dan Roberts 11Richard Socher 10Mitch Trojanowski 10Eiso Kant 10
Verbatim, from the transcripts: the passages where OpenAI comes up
When AI Improves Itself | Richard Socher (Recursive)
- ▶ 54:08 Richard Socher Uh, there's this weird cycle that happened, uh, that I don't talk about it in the book as much, uh, uh, but it sort of lived, uh, through this, uh, now, which is the, the few large closed labs, Anthropic and OpenAI, took almost, uh,…
AI Could Take Over in 2029. Is It Already Too Late?
- ▶ 1:25 Matt Turck I wanted to start with a strong statement that you guys have at the beginning of AI, where you said that the CEOs of OpenAI, Anthropic, XAI, and Google DeepMind understand that the current path AI is on leads to extinction or a power grab,…
- ▶ 3:35 Matt Turck So, uh, specifically when I paused, it's, uh, Astra model over, over safety, uh, you know, following the hugging face incident. 2 times in the scene
- ▶ 25:25 Ryan Greenblatt Opening. 3 times in the scene
- ▶ 43:07 Matt Turck What happens to open AI and anthropic if they cannot compete on frontier models? 4 times in the scene
- ▶ 1:05:09 Matt Turck So, uh, there was this, uh, talk by OpenAI at Black Hat, uh, which shed a lot of light.
“OpenAI’s Model Hacked Us” - Hugging Face’s Thomas Wolf
- ▶ 0:37 Matt Turck We unpack what might be the biggest AI story of the summer, how an open AI powered agent penetrated Hugging Face during cyber testing, and why an open source model helped the team fight back.
- ▶ 1:01 Matt Turck To take things in order, so the OpenAI hack, so I know some of it is still being unpacked. 4 times in the scene
- ▶ 20:48 Thomas Wolf Um, I think the main reason is probably that until recently and until the open AI hugging face attack, people had maybe a little bit of, uh, um, limited, um,
- ▶ 30:23 Thomas Wolf So it can go from pretty benign one that like what happened for open AI, for instance, I just tried to get the answer from somewhere I'm not allowed to.
- ▶ 38:21 Thomas Wolf So for instance, the model we use to counter, um, open AI intrusion was GNM 5.2 that was quantized by Nvidia in, in, in four bits.
- ▶ 46:27 Thomas Wolf So either we say all life science is going to be built from now on by Anthropik, OpenAI and Google, maybe Meta, or we say we want a big ecosystem around there. 2 times in the scene
- ▶ 52:10 Matt Turck And, uh, and, and this time both anthropic and open-ended sign that asked government to help, uh, deliberately pace the frontier of automated AI research.
How to Build Autonomous, Long-Horizon AI Agents | Basis
- ▶ 3:04 Mitch Trojanowski I mean, we, different people use different things, but yeah, Codex or Cloud or Cursor or whatever people use.
- ▶ 16:37 Mitch Trojanowski I think it was O-One, obviously. 3 times in the scene
- ▶ 16:40 Mitch Trojanowski And then I think after a one, it was oh three, because I think oh three helped prove that not only could you scale the amount of reasoning at inference time, but with better training, with more compute, better data, et cetera, in the… 2 times in the scene
- ▶ 18:24 Matt Turck In your X thread, you talk about, um, something OpenAI did in
- ▶ 42:18 Matt Turck So we were talking, um, a few minutes ago about that 20 23 effort by OpenAI that required 800,000 human labels.
- ▶ 50:44 Mitch Trojanowski Essentially maybe it goes back to the, like, you know, Opus three, O one, O three, because I, I do think one thing that's really important when you're building agents, but it's definitely building a company around it is,
- ▶ 50:44 Mitch Trojanowski Essentially maybe it goes back to the, like, you know, Opus three, O one, O three, because I, I do think one thing that's really important when you're building agents, but it's definitely building a company around it is,
- ▶ 1:00:29 Mitch Trojanowski You can, Codex, by the way, is open source. 2 times in the scene
The Biggest AI Deployment Nobody Talks About | Samsara CEO Sanjit Biswas
- ▶ 36:05 Matt Turck Are you an open AI, Anthropic shop, Gemini shop?
Cerebras CEO: Why GPUs Can't Do Fast Inference
- ▶ 0:54 Matt Turck Andrew has been everywhere talking about the headlines, the twenty billion dollar plus OpenAI deal, the IPO, but this conversation is a bit different.
- ▶ 9:19 Matt Turck The recent announcement, uh, of Jalapeno between OpenAI, which is a very large customer of yours, and Broadcom, uh, where does it fit in that picture? 4 times in the scene
- ▶ 49:23 Andrew Feldman And so as the best models, all of them, whether they're domestic or Chinese, whether you're, uh, open AI or anthropic or Gemini, whether you're any of the Chinese models, they all move to a reasoning approach.
- ▶ 55:03 Andrew Feldman And as our OpenAI deal continues to unfold, it will probably be thirty-seventy with 30 on-premise deployments of hardware at the 70 class. 5 times in the scene
OpenAI’s Compute Chief: We Can’t Build Fast Enough | Sachin Katti
- ▶ 0:32 Matt Turck My guest today is Sachin Khalti, who holds what might be the most fascinating and relevant title in tech right now, head of industrial compute at OpenAI. 2 times in the scene
- ▶ 2:01 Matt Turck And, uh, I'm, I'm curious, uh, one, if you agree, and, and two, what it feels like on, uh, from the inside, like what, what's, uh, how do you view what you're currently building at OpenAI? 3 times in the scene
- ▶ 3:42 Matt Turck Is the right way to think about this, that, uh, for open AI, it's, uh, it's a bit of a new world, right? 4 times in the scene
- ▶ 12:00 Matt Turck Um, so now, in, for OpenAI, in addition to being the application business, consumer and enterprise, and then being in the model AI research, uh, business, and then the computing data center business, since that OpenAI is in the, 3 times in the scene
- ▶ 13:39 Matt Turck So I'll come back to help in a second, but, um, you mentioned, you just mentioned inference, uh, and, uh, you know, it's such an interesting evolution as well, uh, without commenting on necessarily what's going on at OpenAI specifically.
- ▶ 21:18 Matt Turck Uh, since we talked about data centers at the beginning of this conversation, uh, why, uh, do, uh, OpenAI and other companies pick rural areas?
- ▶ 22:40 Matt Turck OpenAI, uh, which by the way, to the beginning of this convention, just the title Industrial Computers is, is so, I mean, such a perfect title, right, for the moment we're in. 3 times in the scene
- ▶ 26:41 Sachin Katti Uh, but, uh, three, four years ago, I, while I was at Stanford, I did a couple of startups, uh, the last startup got acquired by VMware, and that's how I got to know Pat, Pat Dickens, Intel CEO, and I, that's how I ended up at Intel, uh,… 2 times in the scene
- ▶ 28:06 Matt Turck So, uh, going into a bit more specifics about, um, OpenAI's compute strategy, uh, so maybe let's summarize what you guys currently have.
- ▶ 35:09 Sachin Katti Three, I think, ah, perhaps an OpenAI unique point, ah, in most chip companies, or when you design chips, you don't know what you're designing it for, because you're a vendor, the customer who eventually runs the workload is someone…
- ▶ 40:43 Matt Turck It almost feels like OpenAI is also becoming a utility company, providing computing to others.
- ▶ 42:12 Matt Turck And you can answer either with your OpenAI hat on or not.
The "Token Heist" Wiping Out AI Startups | Emily Sands (Stripe)
- ▶ 3:47 Emily Glassberg Sands Uh, Microsoft and open AI, we're doing something similar with them, like helping businesses make their products discoverable inside copilot and chat GPT.
- ▶ 7:22 Matt Turck Do you think that's something that you guys built in partnership with OpenAI? 4 times in the scene
Inside Nemotron & NVIDIA’s AI Lab | Bryan Catanzaro
- ▶ 9:58 Bryan Catanzaro You know, I was really excited when, uh, OpenAI released the GPT OSS models, um, uh, a while back, and then of course Google's been doing great work with Gemma.
Cloudflare CEO: The Internet's Business Model Is Dead
- ▶ 42:15 Matthew Prince But even the, even the, even the big, like, you know, OpenAI is, you know, big customer of ours, um, you know, all their mobile app is built, you know, on, on, on us.
- ▶ 53:13 Matthew Prince We, we get early releases of, of, um, you know, various, um, uh, open AI models.
OpenAI's Dan Roberts: Why AI Can Now Make Discoveries
- ▶ 0:26 Matt Turck It's been yet another extraordinary last few days in AI, with OpenAI, DeepMind, and Anthropik cracking some of the most famous, long and solved questions in mathematics, known as the Airdoche problems. 2 times in the scene
- ▶ 1:22 Matt Turck You are the lead of the foundations of reinforcement learning team at OpenAI. 2 times in the scene
- ▶ 1:54 Dan Roberts So before we released a one and thinking reasoning models, we were studying this internally and, and one of the advantages to being first, or at least to being forced and, and spending a lot of resources on scaling things up is that you…
- ▶ 3:09 Matt Turck And, uh, quickly, what was your path to OpenAI? 3 times in the scene
- ▶ 7:46 Dan Roberts If you had to point to one moment, maybe it would be the release of O-one and by OpenAI and, and the sort of paradigm of test time compute and, and, and reasoning.
- ▶ 7:46 Dan Roberts If you had to point to one moment, maybe it would be the release of O-one and by OpenAI and, and the sort of paradigm of test time compute and, and, and reasoning.
- ▶ 8:41 Matt Turck OpenAI came out first with this progress, but like almost within a few hours, Google DeepMind had a claim as well on different problems. 5 times in the scene
- ▶ 22:35 Dan Roberts I think math research or scientific research in general has a lot of versions of both explore and, and, and exploit, um, to give, to give the recent example, the open AI unit distance 3 times in the scene
- ▶ 26:04 Dan Roberts Like, there was this 2016, 27, maybe even to 2018 before the transform period where DeepMind was all in on RL and OpenAI had Dota and, um, 2 times in the scene
- ▶ 29:25 Matt Turck I mean, obviously you're on an RL team at a company that does, uh, you know, both pre-training and RL combined.
- ▶ 37:01 Dan Roberts I definitely think OpenAI will have amazing products that will, um, be relevant in those domains, and some amount of RL will play a role in there.
- ▶ 39:33 Dan Roberts I wasn't at opening at the time, but if you imagine trying to like get small models to, to reason, you know, GPT one, GPT two, GPT three, and then GPT four to the again cartoon.
- ▶ 42:09 Dan Roberts Kaplan McCandlish scaling, open AI, uh, scaling laws work originally is, is a version of this where you throw away, you know, all you know about the network is how many parameters it is and how, how much you've, how much data you've…
State of Enterprise AI 2026: Aaron Levie on Tokenmaxxing, Rise of Headless, and AI-Proofing Your Job
- ▶ 6:41 Aaron Levie Uh, when we talk to the CIO, they know that their engineering teams are using cloud code and codex and cursor, and they're seeing the productivity gains come out of those teams. 2 times in the scene
- ▶ 18:21 Matt Turck So you mentioned not subsidizing, but like it seems that the labs are already starting to react or the OpenAI introduced pricing arrangement to just give more visibility into the pricing.
- ▶ 18:38 Aaron Levie So one thing that will inevitably happen is, uh, you know, OpenAI has a great program, which is kind of this, you know, dedicated capacity, which is, okay, if you kind of know your workload, we're able to lock in, you know, certain pricing…
- ▶ 24:26 Aaron Levie So let's just say you, you use cloud code or codex, and you're like, this is clearly the biggest breakthrough of all time. 2 times in the scene
- ▶ 33:50 Aaron Levie And then you're like, oh, this, you know, open AI frontier is, is really good.
- ▶ 1:03:45 Aaron Levie Um, use codecs, use co-work, use perplexity computer, use, you know, cursor if you're semi-technical, um, and, and, and just figure out what these things are doing, how they work, connect it up to a couple of systems, try it out on a, on a…
- ▶ 1:07:00 Matt Turck Are we in a, in a world where everybody is ultimately either an open AI or an anthropic employee?
OpenAI's Yann Dubois: Why AI Progress Suddenly Feels Real
- ▶ 0:00 Yann Dubois You need to reach this level of reliability to really make any of these AI tools very useful, and I think we just crossed that probably December last year, at least at OpenAI, now we can trust these models to do a lot of the work that we…
- ▶ 0:37 Matt Turck My guest today is Yann Dubois, who co-leads the post-training Frontiers team at OpenAI. 3 times in the scene
- ▶ 2:23 Yann Dubois To really make any of these AI tools very useful, and I think we just crossed that probably December last year, at least at OpenAI, that's where I thought we really crossed that threshold, where now we can trust these models to do a lot of…
- ▶ 4:55 Yann Dubois So purely from a model point of view, of course, there's a lot of reliability that is also happening on the applied side, and the team at OpenAI has been doing an amazing job, um, on that.
- ▶ 5:37 Yann Dubois It is one of these models where everyone in the company was extremely involved.
- ▶ 9:30 Yann Dubois Uh, and the other one that I already mentioned before, but it's kind of this alignment of the company and making sure that like everyone is working towards the same goal. 2 times in the scene
- ▶ 10:03 Yann Dubois So that's what, that's what I mean when I say it's the entire company is that it really comes from everywhere. 2 times in the scene
- ▶ 12:33 Matt Turck And, uh, what was your journey to OpenAI? 2 times in the scene
- ▶ 15:55 Matt Turck What reasoning means in 2026 that's any different from, you know, a conversation we could have had about oh one or three. 3 times in the scene
- ▶ 15:55 Matt Turck What reasoning means in 2026 that's any different from, you know, a conversation we could have had about oh one or three.
- ▶ 16:22 Yann Dubois oh one and oh one preview, uh, we're really.
- ▶ 29:36 Matt Turck So leaving your, taking your open AI hat off, are you, are you bullish on world models?
- ▶ 33:54 Yann Dubois I'll, I'll talk mostly, well, I'll talk only about things that are happening outside of OpenAI and kind of the, the usual stages.
- ▶ 39:38 Yann Dubois I was not at OpenAI at the time.
- ▶ 57:15 Yann Dubois If I, if I have a model, and this is, we often hear, for example, from OpenAI models, that they tend to be really good if you tell them exactly what you want.
- ▶ 1:02:30 Yann Dubois Um, so actually my first, first product that opened AI just came in and I was like, I want to work on data and evals.
- ▶ 1:06:14 Yann Dubois I mean, we have, uh, we have like codex memories and that, that,
- ▶ 1:07:37 Yann Dubois Uh, three years ago when ChatGPT came out, I remember I was doing a startup with friends, uh, and we were thinking about working on, on continual learning and, like, personalization and, and, like, memories in general, and we're like, ah,… 2 times in the scene
- ▶ 1:11:52 Matt Turck So bit by bit, uh, you're doing, uh, more and more of this. 5 times in the scene
The Agent Harness: Building Secure Sandboxes for Autonomous AI Workloads
- ▶ 21:47 Matt Turck OpenAI recently had, uh, an agent's SDK announcement. 3 times in the scene
- ▶ 21:47 Matt Turck OpenAI recently had, uh, an agent's SDK announcement. 4 times in the scene
OpenAI Board Member Zico Kolter: Modern AI Is Just 200 Lines of Code
- ▶ 0:00 Zico Kolter I joined the OpenAI board in twenty-twenty-four.
- ▶ 0:57 Matt Turck Zico is the head of the machine learning department at Carnegie Mellon, and he's also a board member at OpenAI, where he chairs the safety and security committee. 2 times in the scene
- ▶ 1:45 Matt Turck You joined the OpenAI board a couple of years ago, and you're now part of the safety committee. 6 times in the scene
- ▶ 5:50 Matt Turck You mentioned, uh, the various teams, uh, at OpenAI around, um, safety, security, uh, can you, can you provide a bit more color about, like, how that's organized internally? 6 times in the scene
- ▶ 9:48 Matt Turck And as, uh, taking your OpenAI hat off and just more as a broad industry observers, you mentioned various initiatives across OpenAI, uh, DeepMind, Anthropic. 2 times in the scene
- ▶ 18:22 Zico Kolter But I'm not making any claims about how likely these different things are, but they all are risks, and they have to be considered when you start thinking about developing AI systems, and I think, or I know that at least at OpenAI, there's,
- ▶ 31:06 Matt Turck And, um, I think I read somewhere that, uh, along the way you visited, uh, open AI 6 times in the scene
- ▶ 59:34 Zico Kolter It's entirely telling Codex what to do.
- ▶ 1:01:47 Zico Kolter You know who's really good at writing instructions like that is Codex.
Benedict Evans: OpenAI’s Moat Problem & the Future of Software
- ▶ 0:44 Matt Turck In this conversation, we cover the great AI unbundling, whether software is really dead, why OpenAI might be the next Netscape, and what it all means for AI builders, investors, and executives.
- ▶ 1:07 Matt Turck So I thought a fun place to start would be what's going on with OpenAI. 5 times in the scene
- ▶ 1:38 Matt Turck And what are the fundamental challenges that OpenAI faces? 2 times in the scene
- ▶ 5:59 Benedict Evans But I think the kind of, going back to Vigi and OpenAI, the problem at the moment is that the raw chatbot by itself isn't a great product, and most people struggle to work out what to do with it. 6 times in the scene
- ▶ 11:52 Benedict Evans OpenAI did this, this data, the end marketing at the end of last year, where they gave everyone a cute little graphic of how many messages they'd done and told everyone what 2 times in the scene
- ▶ 15:52 Matt Turck Uh, so open as, uh, created a bunch of, uh, products, agent kits and other, uh, frameworks to help people build agents on top of the models. 2 times in the scene
- ▶ 20:07 Matt Turck Is there an argument to say that actually OpenAI would be 6 times in the scene
page 1 of 4 · 100 scenes per page · newest episode first next →