GPT-4, every mention
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every year anyone Nathan Labenz 15Marc Andreessen 13Sal Khan 6Wei-Lin Chiang 5Amjad Masad 5Mira Murati 4Dwarkesh Patel 4Surya Ganguli 3Steph Smith 3Reid Hoffman 3
Verbatim, from the transcripts: the passages where GPT-4 comes up
Marc Andreessen’s Worldview in 60 Minutes | Live on MTS
- ▶ 34:46 Marc Andreessen Um, because, you know, look, the, the reality is that, that, you know, the large language models that we had between call it 19, yeah, or, uh, sorry, 20, call it between like GPT two to GPT
The AI Opportunity that goes beyond Models
- ▶ 2:24 unnamed speaker I think ChatGPT four had also launched, but it was all just text and, and imaging and some basic reasoning.
- ▶ 4:12 Alex Rampell Four, I was like, wow, it's pretty amazing.
Amjad Masad & Adam D’Angelo: How Far Are We From AGI?
- ▶ 7:31 Amjad Masad In the, in the true pre-training scaling era, you know, GPT-II, three, 3.5, maybe up to four, um, it, it felt like you, you can just, uh, put more internet data in there and just, it just got better.
Marc Andreessen & Amjad Masad on “Good Enough” AI, AGI, and the End of Coding
- ▶ 42:05 Amjad Masad GPT-IV felt a lot more human and closer, uh, whereas GPT-V felt a lot more robotic, you know, very in its head, kind of trying to think through, through everything. 4 times in the scene
Reid Hoffman on AI, Consciousness, and the Future of Labor
- ▶ 10:20 Reid Hoffman And I'm not like, maybe there's probably better prompters in the world, but I've been doing this since I got access to GPD for six months before the public did.
- ▶ 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.
- ▶ 41:59 Reid Hoffman You know, I, uh, you know, I, uh, when I saw GVD four, um, and, uh, knew that, uh, Microsoft had access to this, I called the LinkedIn people and said, you guys have got to get in the room to see this, right?
Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
- ▶ 4:21 Nathan Labenz The, the thing that I struggle to understand the most is the people who kind of don't see the big deal that it seems pretty obvious to me and the, you know, especially when it comes again to the, the leap from GPT-IV, GPT-V. 4 times in the scene
- ▶ 7:04 Erik Torenberg And so the difference between GPT two and GPT three and the GPT three and GPT four. 2 times in the scene
- ▶ 14:04 Nathan Labenz And, you know, that is night and day compared to what GPT-IV could do with math, right? 4 times in the scene
- ▶ 19:54 Nathan Labenz And to own that, they need to simplify the product experience relative to what we had in the past, which was like, okay, you got GPT-IV and IV-O and IV-O-Mini and O-III and O-IV-Mini and other things, you know, IV-V was in there at one…
- ▶ 43:27 Nathan Labenz GPT-IV was way more expensive. 2 times in the scene
- ▶ 50:55 Nathan Labenz So GPT-IV, initially when it launched, we didn't have image, um, understanding capability. 2 times in the scene
- ▶ 1:13:43 Nathan Labenz I think that's like, hopefully I've, uh, made that case compellingly, but that's another data point that I think makes it hard to, I don't think you can believe both that, um, the Chinese models are now the best open source models and that…
- ▶ 1:28:01 Nathan Labenz And when they launched GPT four, which was the voice mode, they were pretty upfront about saying, yeah, this was kind of inspired by the movie her.
Will LLMs Get Us To AGI?
- ▶ 17:09 Vishal Misra And then you had all these things like chain of thought instruction, following GPT four really made it polished.
From Vibe Coding to Vibe Researching: OpenAI’s Mark Chen and Jakub Pachocki
- ▶ 1:28 Mark Chen You had, uh, the GPT kind of two, three, four series, which were kind of these instant response models.
- ▶ 3:00 Jakub Pachocki I think another thing that's maybe even more important, but a little bit subtler, when we were in this like GPT-II, GPT-III, GPT-IV era, um, you know, there was kind of one recipe you just like
Dylan Patel on the AI Chip Race - NVIDIA, Intel & the US Government vs. China
- ▶ 1:17:00 Dylan Patel and, you know, or sorry, GPT four, 20 K 100, GPT, you know, sort of like, it's like, holy crap.
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?
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.
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.
- ▶ 5:05 Justine Moore This was, this one was sort of fascinating, because obviously it's been a while since OpenAI had had a major LLM release since GPT-IV. 2 times in the scene
GPT-5 and Agents Breakdown – w/ OpenAI Researchers Isa Fulford & Christina Kim
- ▶ 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?
- ▶ 20:07 Christina Kim Maybe I'm biased, recency biased, but I think to jump to four to five is most impressive for me, because I guess with 3.5 when we first released it, the most common use case for me then also was still just for coding. 3 times in the scene
Dwarkesh Patel and Noah Smith on AGI and the Economy
- ▶ 46:42 Dwarkesh Patel GPT four can, but it just does it way more. 3 times in the scene
- ▶ 56:07 Dwarkesh Patel Um, he has been right in one big way, which is like, he, he identified three key things that would be required to get us from GPT-IV to like a BB-AGI kind of thing, which was, um, being able to think.
Beyond Leaderboards: LMArena’s Mission to Make AI Reliable
- ▶ 32:26 Wei-Lin Chiang Uh, and then at that time there was like GPT-IV just came out in March. 3 times in the scene
- ▶ 44:16 Wei-Lin Chiang Some people didn't believe it and then say, this is a GPT 2 times in the scene
DeepSeek, Reasoning Models, and the Future of LLMs
- ▶ 22:07 Guido Appenzeller Everybody is now densely clustered where, you know, 18 months ago, uh, 18 months earlier, you know, GPT-IV was pretty much alone at the, at the very top tier.
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.
What DeepSeek Means For The Future Of AI | Tech Veterans Weigh In
- ▶ 2:28 Martin Casado Like GPT-IV, there hadn't been a big advancement, but then there's just gonna be this new breath of life, you know, and OpenAI released a reasoning model, which is a one, and everybody's very excited about that.
- ▶ 5:38 Martin Casado Yeah, like the previous base models, you know, like the, the GPT lineage seemed to have asymptoted around GPT-IV.
Marc & Ben on AI Policy, Safety, Censorship & Unexpected Risks
- ▶ 24:34 Ben Horowitz And if you look at like the improvement from GPT, uh, two point O to GPT three to 3.5, and then compare that from like 3.5 to four, you know, we've really slowed down in terms of the amount of improvement. 2 times in the scene
AI at the Intersection of Bio | Vijay Pande, Surya Ganguli & Bowen Liu
- ▶ 4:31 Surya Ganguli GPT-IV, it's, it's, it's thought that it's, it's trained on about fifth, about five trillion unique token sequences. 2 times in the scene
- ▶ 28:15 Surya Ganguli Now that we have GPT-IV, we complain about how dumb it is, right?
Why Human Data is Key to AI: Alexandr Wang from Scale AI
- ▶ 4:32 Alexandr Wang So we, we had GPT-III that worked pretty well, and then, uh, OpenAI to start with really scaled up these models to GPT-IV and beyond, and, um, and then
Grand Challenges in Healthcare AI with Vijay Pande and Julie Yoo
- ▶ 21:28 Vijay Pande But I think you need more than just, like, connecting to GPT-IV or, or Gemini or something like that.
The Top 100 GenAI Consumer Apps
- ▶ 4:17 Steph Smith Well, that's actually fascinating because, I mean, the, the models do differ in performance, but for the average consumer, can, can you actually tell if it's 3.5 or four? 2 times in the scene
7 Ways to Boost Retention (Both Pre- and Post-AI)
- ▶ 6:08 unnamed speaker I love that they can see the difference between, as you said, GPT-one, two, three, four.
Build Your Startup With AI
- ▶ 20:44 Ben Horowitz And you were like, okay, in two years I can get as good as GPT-IV.
Politics & the Future of Tech
- ▶ 46:32 Marc Andreessen Um, and so, uh, you know, there's, there's, you know, opening, you know, GPT-IV was kind of, you know, the dominant model not that long ago, and then it's, it's been leapfrogged in significant ways recently by both Google, what's there,… 2 times in the scene
Safety in Numbers: Keeping AI Open
- ▶ 18:19 Arthur Mensch We have stronger models that are in between 3.5 and four that are basically second or third, the second or third best model in the world.
- ▶ 22:59 Arthur Mensch Uh, it's super easy, especially if you have fine tuning access to make GPT-IV behave, uh, in a very bad way.
Big Ideas 2024: The Consumer AI Battleground Moves from Model to UX with Alex Immerman
- ▶ 11:54 Alex Immerman So when I ask a question of GBT-IV on Poe, I can then share it with you, Steph, and you can continue the conversation in Poe.
Big Ideas 2024: AI Interpretability: From Black Box to Clear Box with Anjney Midha
- ▶ 14:01 Anjney Midha You know, while the, while, of course, the, the holy grail challenge with interpretability is explaining how frontier models that are the GPT-IVs and Cloud IIs and Bards of the world, which are, you know, several hundred billion parameter…
Advancing AI, Approaching VC's & Crypto Scandals: Ask Us Anything!
- ▶ 1:17:55 Marc Andreessen The output of a GPT-IV query or the output of a midger and image generator is often actually better than what most people can do.
What is the Future of Hollywood?
- ▶ 53:17 Marc Andreessen So yeah, and by the way, just to close one loop, um, for people who are interested in this topic, so this concept, this book called Save the Cat is a, it's a very good book, but also, um, one of the things you can do with like GPT-IV, you…
Democratizing Design with Figma's Dylan Field
- ▶ 8:24 Dylan Field Like I, I could have GP for create a business plan and come pitch you.
- ▶ 12:38 Dylan Field So like GPT-IV, if you ask it, hey, I want to have this like dog sitter app. 2 times in the scene
AI Copilots and the Future of Knowledge Work with Microsoft's Kevin Scott
- ▶ 1:00 Kevin Scott We really do see AI not as a product and not as, you know, a research project, but as a real platform for lots of people to build many interesting new things on top of, particularly the past couple of years and maybe the past, uh, 12…
- ▶ 13:36 Kevin Scott Like I, I last fall before, uh, you know, GPT four was announced.
Where We Go From Here with OpenAI's Mira Murati
- ▶ 14:29 Mira Murati Um, but you know, one thing that people forget is that actually at this time we had already trained GPT-IV. 4 times in the scene
Can AI Truly Unlock Your Second Brain?
- ▶ 0:05 Steph Smith It's not as simple as just plugging into GPT-IV and calling it a day.
The True Cost of Compute
- ▶ 13:32 unnamed speaker We'd actually like to leave you with a fun fact from GPT-IV itself, commenting on the technology that created it.
Chasing Silicon: The Race for GPUs
- ▶ 14:15 Guido Appenzeller So the, the really small open source models that we're seeing out there today, they're not yet at a level of a GPT, 3.5 or GPT four. 2 times in the scene
Classroom 2050: Unleashing AI, XR, Gaming
- ▶ 8:41 Sal Khan But then, um, last summer, OpenAI reaches out to us, uh, this is obviously months before ChatGPT and all of that, and they said, hey, we're training our next generation model was GPT-IV. 5 times in the scene
- ▶ 17:54 Sal Khan Like, once again, act like a, like a tutor, but now with generative AI, especially with GPT-IV, you can, it can really go into the argument that you're making, and how do you make it more emotive, and how do you really make it an…
AI Will Save The World with Marc Andreessen and Martin Casado
- ▶ 12:20 Marc Andreessen And so what does it work for is basically people taking these systems as sort of black boxes, like taking GPT, for example, and then basically trying to apply it into various domains and trying to push it and brought it to kind of see… 5 times in the scene
- ▶ 15:38 Marc Andreessen So like there's, there's a lot of homework being done with GPT-IV right now.
- ▶ 1:05:16 Marc Andreessen Or like, you know, at most, 20 bucks to get access to GPT-IV.
- ▶ 1:06:11 Marc Andreessen Um, at least that's what GPT-IV tells me.
Embedded AI: The Questions Every CEO is Asking
2023 Big Ideas in Technology (Part 1)
- ▶ 35:53 Jack Soslow It might be right in the future with GPT four.
- ▶ 1:14:17 Samit Singh While potential use cases within fintech are still emerging, LLMs like GPT-III and the upcoming GPT-IV may help businesses train datasets much more quickly and cheaply. 2 times in the scene