ChatGPT, every mention
45 scenes (2026), the whole family · ← back to ChatGPT
tap a year for its mentions
every year 2026 anyone Matt Turck 62Benedict Evans 36Sebastian Raschka 21Sridhar Ramaswamy 13Sharon Zhou 13Richard Socher 8Aaron Levie 8Chip Huyen 7Azeem Azhar 7Clement Delangue 6
Verbatim, from the transcripts: the passages where ChatGPT comes up
When AI Improves Itself | Richard Socher (Recursive)
- ▶ 43:43 Richard Socher It's like, if no one used ChatGVT or Cloud Code, like, there wouldn't be a problem.
“OpenAI’s Model Hacked Us” - Hugging Face’s Thomas Wolf
- ▶ 38:42 Thomas Wolf And also that the closest model may be in a way subsidized right now, like the, the, like the amount, the number of token you get for your 20 dollar, uh, chat GPT or cloud subscription might not be the full price that they actually pay for…
Cerebras CEO: Why GPUs Can't Do Fast Inference
- ▶ 42:35 Andrew Feldman When you type in the chat GPT, uh, explain to me the history of this village prior to World War II, and it can't see you.
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.
- ▶ 6:59 Matt Turck And an example of this would be ChatGPT instant checkout, for example, where you get the recommendation.
- ▶ 54:29 Matt Turck So I guess if I get tokens from a general purpose LLM like Claude or ChatGPT, I could see what I do with it.
Cloudflare CEO: The Internet's Business Model Is Dead
- ▶ 4:55 Matthew Prince Um, but the thing that's really driving this is what I think we would all call agents, which is, you know, if, if I go to chat GPT or I go to Claude or I go to, you know, any of these systems and, and I'm shopping for a digital camera.
The GPU Myth: State of AI Compute 2026 | Stephen Balaban
- ▶ 23:21 Stephen Balaban Well, let's just say that like Opus and ChatGPT, 5.5 can't fit on a single GPU.
- ▶ 34:38 Stephen Balaban This AI data center is actually just serving the chat GPT requests that I'm, that I'm giving it, right?
- ▶ 37:33 Stephen Balaban You can look at your own utilization of whether it's ChatGPT or Claude or Grok or Gemini, and you can see, hey, a lot of the things that I'm doing, I kind of shoot it off.
- ▶ 59:48 Stephen Balaban And the best way to kind of get this experience is to go to your ChatGPT or your Claude and say, hey, just, um, you know, render for me an ASCII art desktop interface, ok?
OpenAI's Dan Roberts: Why AI Can Now Make Discoveries
- ▶ 0:00 Dan Roberts One of the things that ChatGPT was able to do was assume it was false.
- ▶ 9:11 Dan Roberts One of the things that ChatGPT was able to do was assume it was false, and when you go against the grain and
State of Enterprise AI 2026: Aaron Levie on Tokenmaxxing, Rise of Headless, and AI-Proofing Your Job
- ▶ 28:17 Aaron Levie And honestly, like in many ways, not that different from somebody going to Google to say like, I want to go research this customer versus going to chat to BT and say, I want to reach us to kind of like, like almost nothing has changed…
- ▶ 52:00 Aaron Levie And there was, um, I mentioned this a little bit in the past, but there was this funny article from the financial times, like three weeks ago of like lawyers being inundated with, um, uh, with all of these, like, you know, contracts that… 2 times in the scene
OpenAI's Yann Dubois: Why AI Progress Suddenly Feels Real
- ▶ 1:13 Matt Turck Why AI progress can feel like a sudden step function and why continual learning remains one of the big unsolved problems in AI three years after JetGPT.
- ▶ 39:34 Yann Dubois Uh, I used to be that type of person, and actually when I saw ChatGPT come out, they had this blog.
- ▶ 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,…
Benedict Evans: OpenAI’s Moat Problem & the Future of Software
- ▶ 4:16 Benedict Evans Or our company is going to standardize on chat GPT, which isn't what happened in cloud.
- ▶ 6:35 Benedict Evans So most people who have a ChatGPT account can't think of anything to do with it today. 4 times in the scene
- ▶ 9:11 Matt Turck We went into whether ChatGPT needed a new GUI.
- ▶ 11:29 Matt Turck That memory would be adding some level of defensibility and moat to all those, uh, chatbot interfaces, including very much chat GPT. 3 times in the scene
- ▶ 24:19 Benedict Evans So now, you know, it was, it was ChatGPT apps, which failed like two or three times.
- ▶ 28:29 Benedict Evans Now maybe you'll ask ChatTPT to do it for you. 2 times in the scene
Everything Gets Rebuilt: The New AI Agent Stack | Harrison Chase, LangChain
- ▶ 2:07 Harrison Chase So, so LinkedIn came out, uh, maybe half a month or a full month before ChatGPT.
- ▶ 24:30 Harrison Chase I think, I think some providers, like I think Claude in their app and ChatGPT in their app do this.
Voice AI’s Big Moment: Top Researcher on Why Everything Is Changing (Neil Zeghidour, Gradium AI)
- ▶ 18:27 Neil Zeghidour So it was twenty-twenty-one, way before ChatGPT, but, you know, internally at Google, there were already quite a few projects that were successful around language models.
- ▶ 23:51 Neil Zeghidour So we just asked ChatGPT for a sphere in a few languages, and a sphere in Japanese is Qtai, and there was AI in it, so I was like, okay, that's the name of the lab now, and so that's how we created Qtai.
- ▶ 33:24 Neil Zeghidour And hope that, uh, like the voice mode of OpenAI is used for this task and this task and so on.
- ▶ 59:06 Neil Zeghidour I mean, you cannot ask Claude or ChatGPT write 100,000 hours of scripts and make them as diverse as possible.
Dylan Patel: NVIDIA's New Moat & Why China is "Semiconductor Pilled”
- ▶ 40:06 Dylan Patel ChatGPT has a billion users roughly.
- ▶ 46:57 Dylan Patel oh, I use Chad GPT, and he's, and then, like, there are a couple people who booed, and he's like, yeah,
- ▶ 59:37 Dylan Patel Like a single query, like all of your AI usage from chat GPT of the average user is like a hamburger.
- ▶ 1:11:56 Dylan Patel You know, ChatGPT was a moment. 2 times in the scene
State of LLMs 2026: RLVR, GRPO, Inference Scaling — Sebastian Raschka
- ▶ 7:10 Sebastian Raschka Hierarchical reasoning model, it became like popular because it performed relatively well on that benchmark compared to very expensive models like Gemini, Chachupiti, and so forth. 6 times in the scene
- ▶ 13:11 Sebastian Raschka So there are diffusion models out there that you can use already, but I, I haven't seen anything at, you know, like, uh, Gemini, ChatGPT, Anthropic Cloud scale, I think, but this year maybe we will see something like that.
- ▶ 15:20 Sebastian Raschka I mean, around MOEs, there was only, I think the JetGPT model, which was rumored to be an MOE.
- ▶ 18:46 Sebastian Raschka I would say RLHF is the biggest leap in LLMs we have seen in a long time, because that was taking GPT from GPT to chat GPT, you know, like the RLHF, the reinforcement learning with human feedback. 2 times in the scene
- ▶ 37:19 Sebastian Raschka I wish I could also talk more about Gemini and ChatGPT, but they don't really release the, like, techniques, so hard to talk about it.
- ▶ 41:49 Sebastian Raschka LLM terms, let's say ChatGPT and Gemini, let's say they cheat on the benchmarks and the models are 10% worse. 2 times in the scene
- ▶ 46:42 Sebastian Raschka And I think why I think that is if you use DeepSeq locally or use the platform, let's say you use a local LLM and use ChatGPT.
- ▶ 50:24 Sebastian Raschka like if you use or compare ChatGPT, Gemini, 6 times in the scene
- ▶ 57:46 Sebastian Raschka When I go to Chachapiti, I have the same model as you do.