ChatGPT, every mention
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every year anyone Shawn Wang 130Alessio Fanelli 74Akshay Nathan 32Karina Nguyen 27Robert McCloy 24Alex Lupsasca 17Nathan Lambert 16Michelle Pokrass 13Kevin Weil 13Sherwin Wu 11
Verbatim, from the transcripts: the passages where ChatGPT comes up
Simulating Humanity: from Generative Agents to 8 Billion Digital Twins — Joon Sung Park, Simile AI
- ▶ 9:10 Joon Sung Park And if you talk to even Chad GPT nowadays or Claude,
- ▶ 30:00 Joon Sung Park But the part that was actually particularly striking to us, uh, especially as we improved this technology even further, was the generative agents model, uh, generative AI models like ChatGPT, Cloud that's coming out, it does give you the…
Exo: Harnesses should see their own code and logs — Alex Krentsel, UC Berekeley / Google Research
- ▶ 13:09 Alex Krentsel I started my PhD before ChatJPT really took off, and I was a core networking person.
🔬They Thought the Model Was Broken — Matt McPartlon & Neil Patil, Chai Discovery
- ▶ 0:00 Neil Patil Looks a lot less like a, you know, a ChatGPT and a lot more like, uh, Autodesk or SolidWorks or Figma, you know, if you've used those things where you can kind of load up your molecule.
- ▶ 41:49 Neil Patil And so if you kind of look at the CHI product, it, it looks a lot less like a, you know, a chat GPT and a lot more like a Autodesk or, or SolidWorks or Figma, you know, if you've used those things where you can kind of load up your…
OpenAI’s Vision for the AI Super App — Akshay Nathan, OpenAI
- ▶ 1:39 Shawn Wang Uh, we, uh, so you recently launched ChatGPT Work. 3 times in the scene
- ▶ 3:09 unnamed speaker So ChatGPT, CodexApp, ChatGPT for work.
- ▶ 4:10 Shawn Wang What, a lot of people never touched ChatGBT, ChatGBT for enterprise God. 3 times in the scene
- ▶ 4:10 Shawn Wang What, a lot of people never touched ChatGBT, ChatGBT for enterprise God. 2 times in the scene
- ▶ 6:54 Akshay Nathan That's where we want to play, especially with Chachupiti Work.
- ▶ 6:57 Shawn Wang Uh, well, let's, let's, uh, skip ahead to Chachupiti Work. 6 times in the scene
- ▶ 8:15 Akshay Nathan The, the power of Codex, the power of agents, like we already had this massive distribution base of people who have, you know, come to know and love ChatGPT.
- ▶ 11:08 Shawn Wang Is the Codex harness and the ChatGPT work harness the same? 3 times in the scene
- ▶ 12:24 Akshay Nathan So, you know, we have a team focused on, uh, on ChatGPT, like the, the core chat experience, um, for consumer, which is like, you know, not, I think all productivity, like there's people are using ChatGPT every day for search to, you know,… 2 times in the scene
- ▶ 14:53 Akshay Nathan And so, a lot of the work that went in here, like, you know, keeping the primitives the same, like, for example, plugins are, like, unified across, um, this product and ChatGPT in the cloud. 7 times in the scene
- ▶ 15:39 unnamed speaker You just start a new chat and you don't go under work, right? 4 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. 6 times in the scene
- ▶ 27:33 Shawn Wang Uh, this involves all the hot topics, including ChatGPT work, but also 5.6, token billionaires and token maxing.
- ▶ 27:50 Shawn Wang So over the weekend, I, I, I took like, 30 photos and just threw it into ChatGPT. 2 times in the scene
- ▶ 32:10 Akshay Nathan And so we had similar problem or similar challenges even with ChatGPT, but 3 times in the scene
- ▶ 33:10 unnamed speaker And yeah, I did it with, uh, did it with Codex, not work, but it's interesting, right? 5 times in the scene
- ▶ 34:17 Shawn Wang you see how easily work becomes personal, and personal becomes work, because the thing I do for personal, it actually directly informs people I work with, because I showed it to them, and they were like, oh, you can do that with GPT?
- ▶ 39:26 Akshay Nathan The other, I guess, thing is, like, the more, the more you put in, especially in this environment where, like, you know, the model has access to, to everything on your, on your computer, or in ChatGPT work, like, you can create, you know,…
- ▶ 43:55 Akshay Nathan Like, you know, ChatGPT as a whole, like, the, the, this product that, you know, everyone almost equates to AI and, like, loves 6 times in the scene
- ▶ 44:16 Shawn Wang Uh, I did want to also, because I've, I've, I've been tracking the, the number closely, it transitioned at some point from just Codex users to Codex plus ChatGPT work, obviously because the same harness, the whole point is that 5 times in the scene
- ▶ 46:59 Akshay Nathan But there's a lot of inspiration there, like, um, you know, in ChatGPT work in web and mobile, like, you, you get access to those, like, persistent computer environment where, you know, you can store files, and those files stay around… 4 times in the scene
- ▶ 47:54 Akshay Nathan I think that there's going to be, you know, there's always a need for, like, this, like, incredible, like, open source technology that, that team has built, and I think that we can draw inspiration, um, in the product, and, you know,… 3 times in the scene
- ▶ 49:15 Shawn Wang Do you think that you can do everything you used to do with WellFronts in ChatGPd Finance?
- ▶ 51:57 Shawn Wang Um, you have special affordances in ChatGPT itself to show off the, the agents. 2 times in the scene
- ▶ 56:16 Shawn Wang Chad Gypsy's new memory system used to suck, it's not very good. 8 times in the scene
- ▶ 56:45 Akshay Nathan And ChatGPT work in the, in the cloud, like by default, all conversations like inherent from your ChatGPT memory. 4 times in the scene
- ▶ 1:01:49 Shawn Wang I think that was about it in terms of, like, the, the overall, uh, coverage of ChatGPT work.
- ▶ 1:07:17 Shawn Wang And the thumbs up and thumbs down from ChatGPT doesn't give you anything, right?
The AI Frontier: from open weights to open research — Eiso Kant, Poolside AI
- ▶ 5:16 Eiso Kant Kind of big mistake, considering following years, it'd be really interesting, and then ChatGPT came out.
- ▶ 7:44 Eiso Kant You'd get the chapter of Chachapiti coming out, and then you would get to the chapter where the world was at a fork in the road, and the one that it picked was one where three or four or a handful of companies were going to create all of…
- ▶ 32:39 Eiso Kant They started years before ChatGPT.
🔬Causal Models Need Causal Data - Xaira’s X-Cell model (Bo Wang & Ci Chu)
- ▶ 15:11 Bo Wang Four months after Chagibit was released, our lab at University of Toronto published one of the early foundation model of single cell genomics called SCGPT.
- ▶ 40:38 Bo Wang I think our SCGB kind of sets the foundation for most of, uh, foundation models of single cells is that we adopted, uh, kind of autoregressive training, uh, extremely similar to how CHGBT is trained on languages, right? 2 times in the scene
- ▶ 47:56 Bo Wang So in our preprint, we incorporate five types of priors, including literatures, as simple as just ask CHPT, tell me everything about this gene, and then we embed the output, uh, as the embedding.
The AI Memory Problem: Why Long Context Isn’t Enough — Dan Biderman, Engram Co-founder & CEO
- ▶ 3:53 Dan Biderman And, uh, and then decided that I wanted to go deeper into the LLM world after seeing chat GPT.
Podcast Crossover: AIE, AGI, frontier lab strategy with @matthew_berman and @swyxtv
- ▶ 3:47 Shawn Wang What Etched and Madx and the other new gen chips are doing are much more dedicated to, like, basically everything that we know, uh, post Transformers, post ChatGPT, and optimizing for that workload. 2 times in the scene
- ▶ 8:48 Shawn Wang I, I've played around with the idea of, like, universal basic AI, like, everyone gets, like, a ChatGPT Pro subscription or something, but, like, giving the government five percent to have the government have a stake in the success of… 2 times in the scene
The Future of AI Infra: from Kubernetes to Agent Sandboxes — Akshat Bubna, Modal CTO
- ▶ 3:30 Akshat Bubna We, we, we added GPUs to the product a year before ChatGPT came out.
🔬 "The Most Innovative Diffusion Research Is Happening in Drug Discovery, Not Image Generation"
- ▶ 5:53 Evan Feinberg Um, even the iPhone required iterative development over time to become what is today, and people love to talk retrospectively about the ChatGPT moment, but the first ChatGPT models that became widely used were vastly less useful than, than… 2 times in the scene
- ▶ 12:19 Evan Feinberg Machine learning is initially constructed for pattern recognition, and it's the same with when you fire up Claude or ChatGPT or what have you, it's going to do best when it's closest to the training data, and it's going to pattern match…
Cooking with OpenAI’s Research Chief: AGI, o1, Evals, and Scaling Laws — Mark Chen
- ▶ 40:58 unnamed speaker Chachapiti can tell you. 2 times in the scene
The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin
- ▶ 54:41 Reynold Xin Um, I mean, before 2022, October, 2022, uh, when Chagibili came out, we had always pitched Databricks as a machine learning plus data.
- ▶ 59:52 Matei Zaharia They, they moved into it before ChatGPD.
Why AI Labs With Unlimited GPUs Still Fail — Anjney Midha, AMP
- ▶ 55:34 Anjney Midha When, I mean, Liam was a co-creator of ChatGPT, and Doge was skip level from Demis at DeepMind, had created, you know, Genome, so one of, one of the most important
🔬 The Limits of AI in Science - Why We Need Self-Driving Labs — Joseph Krause, Radical AI
- ▶ 1:14:16 unnamed speaker Yeah, there's probably a proprietary or model or two, the same way there's a proprietary model or two today that I can run, whether it's Claude or, or, or, um, ChatGPT or Grok or whatever your favorite AI is. 2 times in the scene
GitHub’s Agent Era: 14x Commits, 200M Developers, Copilot’s Next Act — Kyle Daigle
- ▶ 6:17 Kyle Daigle And so everyone uses like ChatGPT or Copilot or Claude or whatever.
Inside xAI: Building Grok Imagine in 3 Months, Videogen vs World Models, and Video Agents— Ethan He
- ▶ 1:10:41 Shawn Wang I don't know how it compares to ChatGBT real time now.
Senior Dev: This "Grill Me" Prompt Is Going Viral Among Top Engineers
- ▶ 13:11 Shawn Wang You can ask ChatGPT.
🔬How GPT‑5 derived new results in theoretical physics and quantum gravity — Alex Lupsasca, OpenAI
- ▶ 1:17 unnamed speaker I asked ChatGVT, is this the most prestigious award someone of his, um, career could win? 2 times in the scene
- ▶ 21:00 Alex Lupsasca And in fact, using ChatGPT, we, we solved the problem before he even got off the plane.
- ▶ 31:11 Alex Lupsasca Then, um, before Eddie even got here, we started to play with ChatGPT and Alfredo, Andy and I were trying different things, lots of different chats happening, going back and forth, David as well. 4 times in the scene
- ▶ 47:02 Alex Lupsasca That's how fast we got the answer out of ChatGPT, but it took us three weeks because we wanted to check very carefully if that is correct, but most of the time was spent verifying the answer, not dreading, which is insane, actually, if you… 2 times in the scene
- ▶ 47:52 Alex Lupsasca This was all done using the publicly available GPT Pro. 3 times in the scene
- ▶ 59:51 Alex Lupsasca And even if ChatGPT doesn't always get everything right, just kind of having a scout that signposts some key steps along the way that you can use to, to anchor your own movement is, is extremely helpful. 2 times in the scene
- ▶ 1:02:50 unnamed speaker Two sign, two spatial dimensions for this was, uh, already sort of an assumption that I think is actually kind of important in some ways and does provide feedback to our world, but in the concept of, you know, you could have asked ChatGVT…
- ▶ 1:08:34 Alex Lupsasca Working with GPT Pro on this problem, to me, feels like working with a creative collaborator. 4 times in the scene
- ▶ 1:16:33 unnamed speaker Okay, going back to this, like, these thoughts about scientific discovery and what can these models do versus just being very good at superhuman at solving physics, um, the people keep asking this question, hypothetically, could we train a… 6 times in the scene
- ▶ 1:18:37 Alex Lupsasca You can take this page of this paper and you can feed it to ChatGPT Pro, say, like the best model we have out right now, and you can ask it, what should I do next?
⚡️ Competing with ChatGPT and Sierra, building a $10M ARR company — Yasser Elsaid, Founder, Chatbase
- ▶ 0:20 unnamed speaker Before ChatGPT launched, right?
- ▶ 4:34 Yasser Elsaid It's just, like, basically, like, chat GPT interface, but, um, it's talking about chat base, and these are like the, this is the rag chunks, basically, like, the sources at the bottom. 3 times in the scene
- ▶ 39:04 unnamed speaker The way most people decide stuff now is just ask Claude, ask JGPT, ask whatever.
- ▶ 45:23 Yasser Elsaid So I think the problem was that this is the tangent, but the problem was just like having, you know, uh, a chat interface in the middle of the screen on a new product that works for chat GPT because chat GPT is that broad and like, 2 times in the scene
- ▶ 53:42 unnamed speaker What do you hire for when Chagi Beauty can do everything?
🔬 Training Transformers to solve 95% failure rate of Cancer Trials — Ron Alfa & Daniel Bear, Noetik
- ▶ 1:23:26 unnamed speaker Really the very beginning, like, you know, maybe we're in, in, in the like first inkling of the chat GPT moment for bio, but it's like very much just the very beginning.
Extreme Harness Engineering: 1M LOC, 1B toks/day, 0% human code or review — Ryan Lopopolo, OpenAI
- ▶ 54:46 unnamed speaker Like my, my first example is probably like deep research. 3 times in the scene
- ▶ 1:08:16 Ryan Lopopolo One thing that I think is going to break your mind even more is we have skills for how to properly generate deep fried memes and have Reaggy culture and Slack, because with the Slack chat GPT app that you're able to use and codex, like I…
- ▶ 1:11:53 Ryan Lopopolo I want ChatGPT to also learn
Marc Andreessen introspects on Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different"
- ▶ 0:27 Marc Andreessen It's an overnight success because it's like, bam, you know, ChatGPT hits, and then, and then O-One hits, and then, you know, OpenClaw hits, and like, you know, these are open, these are, these are like overnight, like radical overnight…
- ▶ 5:06 Marc Andreessen And then, you know, and then open AI developed chat GPT or GPT two,
- ▶ 8:36 Marc Andreessen Cause it's like, bam, you know, chat GPT hits and then, and then O-one hits and then, you know, open call hits. 2 times in the scene
Mistral: Voxtral TTS, Forge, Leanstral, & Mistral 4 — w/ Pavan Kumar Reddy & Guillaume Lample
- ▶ 46:34 Guillaume Lample I think things, things changed a lot when, I think when, when JPD came out, I think after that, I think it was a bit of a return.
🔬There Is No AlphaFold for Materials — AI for Materials Discovery with Heather Kulik
- ▶ 0:00 unnamed speaker There's a school of thought that why should I bother to learn chemistry, or physics, or whatever, when CHAT GPT, you know, has PhD level understanding of that anyway. 2 times in the scene
- ▶ 13:21 unnamed speaker That, why should I bother to learn chemistry, or physics, or whatever, when ChatGPT, you know, as PhD level understanding of that anyway, and shouldn't I just focus on being really good at using AI for stuff? 3 times in the scene
Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Eskildsen of Turbopuffer
- ▶ 9:57 Simon Eskildsen And so when the ChatGPT moment happened, I was with, with Readwise for a stint.
Dylan Patel Explains the AI War While Cooking | In-Context Cooking
- ▶ 21:53 Dylan Patel Um, cause like, fine, people are using ChatGPT, that's great.
Claude Code for Finance + The Global Memory Shortage: Doug O'Laughlin, SemiAnalysis
- ▶ 7:17 Doug O'Laughlin Everything, all the old playbook is about to be thrown out, because it's been, like, this is a super mature industry, you really need these primers about it, like, that's how you learned about things back before ChatGPT knew everything,…
- ▶ 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
- ▶ 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. 2 times in the scene
- ▶ 1:49:05 Doug O'Laughlin Hey, you can use chat GPT free now, but you, your context window is like a thousand tokens or something like that.
Inside AI’s $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z
- ▶ 6:48 Sarah Wang That could be chat GPT.
- ▶ 20:25 Sarah Wang The ChatGPT moment happened on the hardware side, um, and the funding going into it feels like it's already taking that for granted.
🔬Generating Molecules, Not Just Models
- ▶ 49:40 unnamed speaker ChatGPT was only three years ago.
- ▶ 53:41 Gabriele Corso But, you know, I just maybe open, um, the chat GPT app or Cloud Code and just use it as an amazing product.
⚡️Context Graphs: according to the authors — Jaya Gupta, Ashu Garg, Foundation Capital
- ▶ 0:40 Jaya Gupta Like, it was, like, literally right after ChatGPT, and I think the only things that really existed were Langchain, Llama Index, and, like, Perplexity were, like, sort of the three companies that came out right after, and so anything that…
🔬 From Red Teaming GPT-4 to Automating Drug Discovery: The Future of AI in Science — Andrew White
- ▶ 40:45 Brandon Anderson Once I, I did an estimate, I think pre like ChatGPT, something like 20% of the world's computing power just went to simulating water.
- ▶ 44:39 Andrew White Yeah, I don't even know what it is, but it's like, imagine ChatGPT came out, but instead it was like, oh, you can just run it on your phone or locally on your own desktop.
⚡️ Prism: OpenAI's LaTeX "Cursor for Scientists" — Kevin Weil & Victor Powell, OpenAI for Science
- ▶ 2:22 Kevin Weil It'd be one thing if we were going back and forth, copying and pasting code between, you know, ChatGPT and your IDE, 2 times in the scene
- ▶ 7:35 Kevin Weil Um, and so one of the nice things is you could do this in ChatGPT, but you'd have to go upload your files into a chat, right? 4 times in the scene
- ▶ 29:57 Kevin Weil And, and imagine, I mean, if we had GPT-Nine inside of ChatGPT today, it would be awesome. 2 times in the scene
Brex’s AI Hail Mary — With CTO James Reggio (acquired for $5B by Capital One!)
- ▶ 12:05 James Reggio In fact, right before being tapped to become CTO, I was leading, uh, like an AI, uh, labs team internally, uh, in the wake of like the announcement of ChatGPT, you know, everybody saw this through technology and said, Hey, what are we…
- ▶ 29:14 James Reggio And so for instance, like we allow employees to basically go to in Slack and use conductor one to, uh, get a chat GPT, a cloud or a Gemini license.
- ▶ 58:35 James Reggio Or just, you know, in the way that like, if you go away a field on a chat GPT, you just get like the inline 500 error.
- ▶ 1:01:09 James Reggio And it's very rarely somebody in EPD for the most part is folks in ETMs, ops, uh, finance, the people organization showing off like how they're building agents, you know, in ChatTPT or on Glean or how they're, they like just found some new…
Artificial Analysis: The Independent LLM Analysis House — with George Cameron and Micah Hill-Smith
- ▶ 48:15 Micah Hill-Smith To various degrees of order, both JGBD and Claude.
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