GPT-5, every mention
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every year anyone Erik Torenberg 20Nathan Labenz 12Olivia Moore 11Sherman Wu 9Christina Kim 7Isa Fulford 6Mark Chen 5Marc Andreessen 5Sarah Wang 4Lisha Li 3
Verbatim, from the transcripts: the passages where GPT-5 comes up
Inside OpenAI’s Breakthroughs in Mathematical Reasoning
The State of AI: Models, Moats, and the Consumer Renaissance
- ▶ 7:30 Anish Acharya You know, your Fable five or your Grok or your, um, uh, GPT five, six.
The Biggest Bottlenecks For AI: Energy & Cooling
- ▶ 26:47 David George Now we're thrilled that GPT-V is out, and it's a very credible alternative, and it will put pricing pressure on Anthropic.
Marc Andreessen's 2026 Outlook: AI Timelines, US vs. China, and The Price of AI
- ▶ 17:18 Marc Andreessen Um, and, uh, the new version of Kimi is a reasoning model that is, at least according to the benchmark so far, is basically a, a replication of the reasoning capabilities of GPT-V, right? 4 times in the scene
How OpenAI Builds for 800 Million Weekly Users: Model Specialization and Fine-Tuning
- ▶ 13:22 Sherman Wu Like, you always know you're using GBD-V. 3 times in the scene
- ▶ 15:49 Sherman Wu Uh, and so you really do end up, like, building a product around the model, and so there is a technical piece where, you know, as you kind of keep building with a particular, uh, uh, product like GPT-V, um, you're actually, like, building… 5 times in the scene
- ▶ 39:56 Sherman Wu And so my sense is like, even if we just like, you know, open source, like if we just literally open sourced GPT-V or something, it would be really, really hard to inference it at the level that we are able to, to get it, um, to do.
Amjad Masad & Adam D’Angelo: How Far Are We From AGI?
- ▶ 6:23 Amjad Masad Um, and then GPT-V with high thinking had to think for, like, 15 seconds in order to get a question like that.
"Is there an AI bubble?” Gavin Baker and David George
- ▶ 22:57 Gavin Baker Oh, by the way, one thing I just want to say that drives me crazy is all these people who say that GPT-V is the end of scaling loss. 3 times in the scene
Marc Andreessen & Amjad Masad on “Good Enough” AI, AGI, and the End of Coding
- ▶ 41:28 Erik Torenberg Um, you tweeted after GBT-V came out that you were feeling the diminishing returns. 4 times in the scene
- ▶ 44:11 Marc Andreessen Well, so what I, what I, what I found specifically is, uh, a combination of like GPT-Five Pro plus Deep Reasoning or like Rock IV Heavy, like the, you know, the, the, the, the highest end models, um, uh, like that.
Reid Hoffman on AI, Consciousness, and the Future of Labor
- ▶ 18:24 Reid Hoffman Like this is one of the things that like when I look at, you know, GBD two, three, four or five, it's a progression of savants.
Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
- ▶ 3:17 Nathan Labenz And that, I think, is where I really was like, whoa, wait a second, you know, I was with you on a lot of things, and some of the behaviors that he observes in the students, I would 4 times in the scene
- ▶ 7:08 Erik Torenberg Um, but then that sort of, you know, was significant, the difference, but then it achieved sort of, uh, uh, diminishing returns significantly and where we're not seeing it at GPT five and thus we don't have to worry anymore. 5 times in the scene
- ▶ 18:35 Nathan Labenz It's still not easy to get that kind of output from a GPT-V or a Gemini-II.V or, you know, a Claude Opus-IV or whatever, but it's starting to happen sometimes, and that in and of itself is a huge deal.
- ▶ 18:50 Erik Torenberg The, the, the bearishness or the kind of vibe shift around GPT-V then, you know, one potential contributor is this idea that if a lot of the, if the improvements are at the frontier, you know, not everyone is working with, you know, sort… 3 times in the scene
- ▶ 39:31 Nathan Labenz The bulk of the work, um, GBD-V notably wasn't a big update over O-three on that particular measure. 2 times in the scene
- ▶ 43:28 Nathan Labenz It's like 90, uh, it's like a 95% discount from GPT-IV to GPT-V.
- ▶ 51:45 Nathan Labenz Um, GPT-V is not a bust, uh, and it'll spit that out.
- ▶ 59:40 Nathan Labenz We're at two hours-ish with GBT-V. 2 times in the scene
- ▶ 1:19:08 Nathan Labenz So, you know, that'll put us in that 80%, but I'm guessing that at the end of the day, we'll take that Quinn model, we'll do the reinforcement fine tuning, and we'll probably get roughly up to as good as, you know, GPT five or cloud four…
Sam Altman on Sora, Energy, and Building an AI Empire
- ▶ 10:14 Sam Altman And for the first time with GPT-Fi, we are seeing these little, little examples where it's happening.
From Vibe Coding to Vibe Researching: OpenAI’s Mark Chen and Jakub Pachocki
- ▶ 0:38 unnamed speaker And so we're just really stoked, um, to talk with you about a whole bunch of things we've been curious about, including GPT-V, which was, you know, one of the most exciting updates to come out of OpenAI in recent times, and then stepping… 4 times in the scene
- ▶ 1:18 Mark Chen So I think GPT-V was really our attempt to bring reasoning into the mainstream. 4 times in the scene
- ▶ 5:08 unnamed speaker Which capability from GPT-V before the release surprised you the most when you were working through the eval bench or using it internally? 2 times in the scene
- ▶ 5:53 Mark Chen And, uh, you know, we, we see physicists, mathematicians kind of, uh, repeating this experience over and over where they're trying GPT-Five Pro and saying, wow, this is something that the, you know, previous version of the models couldn't…
- ▶ 15:57 unnamed speaker We would be remiss not to say congrats on GPT-V Codex, uh, which just dropped today. 3 times in the scene
- ▶ 19:12 Jakub Pachocki Yeah, eventually, I think, like, like, especially with this, with this, um, um, latest coding tools, um, like GPT-V, I really kind of felt like, okay, like, this is, this is no longer the way, like, like, you can do a, you know, Fertifile…
- ▶ 25:49 unnamed speaker And in the development of, like, during the training phase of GPT-V, for example, at any, with any moments where there were, there was a hard problem, there were original, initial attempts that were being made to crack that problem weren't…
Faster Science, Better Drugs
- ▶ 15:28 Patrick Hsu I find it helpful to frame these in terms of like GPT one, two, three, four, five capabilities, right?
Jack Altman & Martin Casado on the Future of Venture Capital
- ▶ 2:11 Martin Casado And by episodic, I mean like today, GPT five launch, right?
The Top 100 Most Used AI Apps in 2025
- ▶ 22:59 Justine Moore The new version of Claude, GPT-V, like, those aren't just sort of in their bubble on the side, and then the app layer is separate. 2 times in the scene
How Scale AI is Pioneering the Future of Work
- ▶ 45:35 Ben Scharfstein GPT three drafts off of, you know, GPT two and four, whatever, five, but it's like going to be pretty irrelevant later.
Aaron Levie and Steven Sinofsky on the AI-Worker Future
- ▶ 43:45 Aaron Levie Like, like, like we are benefiting from the fact that, that at least you can build these all on Claude IV and GPG-V.
Dylan Patel on GPT-5’s Router Moment, GPUs vs TPUs, Monetization
- ▶ 1:12 Erik Torenberg Well, maybe let's start with GBD five. 6 times in the scene
- ▶ 19:28 Dylan Patel And, and, and as you get models like GPT-V or open source models, like, continuing to drive it down, it's like the value capture is just harder and harder and harder for these companies, because they're making, you know, 50% gross margin…
This Week in AI: GPT-5 Ships, 4o Pulled Back, Grok Imagine Goes Social
- ▶ 0:17 Olivia Moore And then we'll cover GPT-V and the deprecation of GPT-V and we'll cover our new vibe coding thesis.
- ▶ 4:48 Olivia Moore The other big model news of this week, which, uh, was not just big for consumer, but for pretty much all of AI, was the GPT-V release. 7 times in the scene
- ▶ 10:58 Olivia Moore Well, and especially because five, GPT five, was kind of 3 times in the scene
GPT-5 and Agents Breakdown – w/ OpenAI Researchers Isa Fulford & Christina Kim
- ▶ 0:27 Christina Kim I think we hear this with GPT-Five internally when people are testing and they're like, oh, I thought I asked like a really hard question.
- ▶ 4:14 Sarah Wang Um, but how did you guys think about that for GPT-V? 2 times in the scene
- ▶ 6:52 Sarah Wang But by the way, just on the topic of usage, um, you obviously have a lot of products with a ton of usage already, and since we have one of the deep research gurus here too, um, how did deep research, ChatGPT, Operator, sort of your…
- ▶ 8:46 Erik Torenberg Um, how about in the, in the broader sort of, uh, AGI discourse, like, what is this, um, what, what does this mean or accelerator or not, or like, how do we think about sort of the broader, um, AI discourse in terms of what does GPT-V mean… 2 times in the scene
- ▶ 17:04 Christina Kim That's one of my favorite improvements in GBT five. 3 times in the scene
- ▶ 19:37 Sarah Wang Do you think the jump from GPT four to five was bigger, or three to four, or maybe three and a half to four?
- ▶ 19:44 Isa Fulford I mean, at least one, one thing for me and my usage of it is sometimes I'm wondering if I have hard enough questions to ask it to actually, like, highlight the difference. 6 times in the scene
- ▶ 22:02 Christina Kim I think like, I think we, GBT five is great because like, yeah, within like a couple of minutes, maybe you get a full fledged app, but then what would it look like if you actually gave it like an hour, like a day, a week, what can it…
- ▶ 28:13 Christina Kim I think we hear this with GPT-Five, but internally when people are testing it, they're like, oh, I thought I asked like a really hard question.
- ▶ 41:56 Christina Kim Yeah, I think with GPT-Five, the thing that's, the word that's, like, been in my mind throughout all of this is, like, usable, and I think the thing that we're excited about is getting this out to everyone.
Reasoning Models Are Remaking Professional Services
- ▶ 1:48 George Sivulka And I think that, uh, they will always hold if there's enough data, and that is the question, but I do think that GPT-V will be significantly better than GPT-IV.