GPT-4
also referred to as: gpt-iv
includes GPT 4 Turbo
37 statements across 24 episodes · 11 bullish · 12 bearish · 22 people on the record · first statement May 3, 2023 by Vince Hankes · said 143 times in 48 episodes since 2023 · across every show →
Mentions by year, the whole family
brought up most by Emad Mostaque (16), Alex Wang (13), Douwe Kiela (12), Arvind Narayanan (8), Sam Altman (7), Matt Clifford (6), Ethan Mollick (5), Richard Socher (4)
tap a year for its mentions
2026 6 mentions in 6 episodes 1 per episode
- Open Models vs Frontier Models: Who Actually Wins? | The $100K Token Budget Every Engineer Will Need · 20VC with Harry Stebbings
- OpenAI vs Anthropic vs Open-Source | Token Maxing, AI Hangovers & The Coming ROI Reckoning · 20VC with Harry Stebbings
- OpenAI & SpaceX S1 Drops | Layoffs at Cloudflare & ClickUp | OpenRouter & Polsia Raise Mega Rounds · 20VC with Harry Stebbings
- Replit CEO: Why the SaaS Apocalypse is Justified & Why Coding Models are Plateauing | Amjad Masad · 20VC with Harry Stebbings
- a16z, Anish Acharya: Is SaaS Dead? Do Margins Still Matter? Why We Are Not in an AI Bubble? · 20VC with Harry Stebbings
- Harvey CEO Winston Weinberg: How to Make Mega Deals | Lessons from Rabois, Halligan & Grady · 20VC with Harry Stebbings
- every mention in 2026, scene by scene →
2025 14 mentions in 11 episodes 1 per episode
- 20VC: 15 Term Sheets in 7 Days and Choosing Benchmark | Harvey vs Legora: Who Wins Legal and How to Play When You Have $600M Less Funding | Are AI Models Plateauing Today | Building a 9-9-6 Culture From Stockholm with Max Junestrand
- Benchmark's GP, Everett Randle on Why Mega Funds Will Not Produce Good Returns · 20VC with Harry Stebbings
- General Catalyst CEO, Hemant Taneja: Lessons Scaling GC to $40BN in AUM · 20VC with Harry Stebbings
- ElevenLabs CEO/Co-Founder, Mati Staniszewski:The Untold Story of Europe’s Fastest Growing AI Startup · 20VC with Harry Stebbings
- Sam Altman's Masterplan or a Gift to Anthropic? Palantir & Shopify Crush Earnings · 20VC with Harry Stebbings
- Duolingo Co-Founder, Severin Hacker: How AI Impacts the Future of Work and Education · 20VC with Harry Stebbings
- 20Product: How Scale AI and Harvey Build Product | Why PMs Are Wrong: They are not the CEOs of the Product | How to do Pre and Post Mortems Effectively and How to Nail PRDs | The Future of Product Management in a World of AI with Aatish Nayak
- Kevin Scott, CTO @ Microsoft: An Evaluation of Deepseek and How We Underestimate the Chinese · 20VC with Harry Stebbings
- 3 more episodes that year, every mention in 2025 →
2024 63 mentions in 13 episodes 5 per episode
- Alex Wang: Why Data Not Compute is the Bottleneck to Foundation Model Performance | E1164 · 20VC with Harry Stebbings
- Arvind Narayanan: AI Scaling Myths, The Core Bottlenecks in AI Today & The Future of Models | E1195 · 20VC with Harry Stebbings
- Aravind Srinivas:Will Foundation Models Commoditise & Diminishing Returns in Model Performance|E1161 · 20VC with Harry Stebbings
- Matt Clifford: The Bull & Bear Case for China's Ability to Challenge the US' AI Capabilities | E1172 · 20VC with Harry Stebbings
- Bret Taylor: Why Pre-Training is for Morons & Companies Will Build Their Own Software | E1209 · 20VC with Harry Stebbings
- Ethan Mollick: Why OpenAl Abandons Products, The Biggest Opportunities They Have Not Taken | E1184 · 20VC with Harry Stebbings
- Sam Altman: What Startups Will be Steamrolled by OpenAI & Where is Opportunity | E1223 · 20VC with Harry Stebbings
- Sam Altman & Brad Lightcap: Which Companies Will Be Steamrolled by OpenAI? | E1140 · 20VC with Harry Stebbings
- 5 more episodes that year, every mention in 2024 →
2023 60 mentions in 18 episodes 3 per episode
- Emad Mostaque: These 5 Companies Will Win the AI War; Why We Need National Data Sets | E1015 · 20VC with Harry Stebbings
- Douwe Kiela: Why Data Size Matters More Than Model Size; Why Open Source Isn't Going to Win | E1032 · 20VC with Harry Stebbings
- Roundtable #7: Spotify, Adobe and Linkedin on How AI Changes The Future of Product & Design | E1097 · 20VC with Harry Stebbings
- Des Traynor: How to Survive and Thrive in a World of OpenAI | E1082 · 20VC with Harry Stebbings
- 20VC: The Biggest AI Leaders on What Matters More; Model Size or Data Size & Where Does The Value in AI Accrue; to Startups or to Incumbents
- The Ultimate AI Roundtable: What Happens Now in AI, Why Google are Vulnerable | E1085 · 20VC with Harry Stebbings
- Guillermo Rauch: Why Great Companies are Defined by How Many Things They Say No To | E1069 · 20VC with Harry Stebbings
- Christian Kleinerman: Do OpenAI and Anthropic Have a Sustaining Moat? Who Wins the AI Wars? | E1063 · 20VC with Harry Stebbings
- 10 more episodes that year, every mention in 2023 →
Everything said about GPT-4, oldest first
May 3, 2023 positive
May 3, 2023 neutral
May 17, 2023 bearish
May 17, 2023 positive
Jun 19, 2023
Lebrun: LIMA fine-tuned on 1,000 examples beats GPT-3, rivals GPT-4
“Three weeks ago, there was a paper about Lima. So, so this Lima paper shows that with only 1000 question and answer examples, so very, very small data sets they get something for, use for fine tuning, so the second stage, they get something that performs bette…”
Jun 30, 2023 negative
Douwe Kiela: GPT-4's coding skills may be inflated by dataset contamination
“Data contamination where a bunch of these language models are trained on the things that they are being evaluated on. So GPT-IV looks like it's an amazing coder, but it might also just be trained on the data that it's evaluated on, which means that it's not ac…”
Jun 30, 2023 neutral
Aug 18, 2023 bullish
Sep 15, 2023 negative
Douwe Kiela: GPT-4 Will Disrupt Data Annotators Like Mechanical Turk
“One of the use cases I've been seeing now for GPT-IV is actually that people are using it to generate data and then they're training on that data with cheaper models. So GPT-IV might end up disrupting, not knowledge workers necessarily, but it might just disru…”
Sep 15, 2023 neutral
Douwe Kiela: AI Model Parameter Sizes Will Stop Growing Rapidly
“I think Sam Altman had this interesting quote where he was saying that he thought models would stop growing in size. GPT-IV kind of hit this ceiling. I think that's probably right, but not really because size doesn't matter. It's just that data size matters ev…”
Sep 22, 2023 negative
Sep 22, 2023 positive
Kleinerman: Deep GPT-4 wrappers with domain expertise build real value
“I do think that there are some very deep wrappers on top of GPT-IV that apply domain specific legal or other domain that I think you end up with a true way to bring GPT-IV to a given market or industry. I think those are value.”
Oct 6, 2023 negative
Nov 24, 2023 bullish
Dec 20, 2023
Apr 15, 2024 negative
May 22, 2024 neutral
Levie: Users Will Wire Into Specific AI Models Rather Than Abstracted Selection
“I don't think you're going to have complete commoditization of sort of the personality of the models for the sort of style and the response to the point where then, you know, if you're a user, you know, any given response could come from Gemini, Versus GPT-IV …”
Jun 5, 2024 negative
Jun 5, 2024 neutral
Srinivas: GPT-4 tier models are not yet commoditized
“I think GPT four quality models are not yet commoditized. There's only probably one or two alternatives for the people today, like Claude Opus or some people, Gemini, let's say. If it's just like two or three alternatives, it's not, I wouldn't call it a commod…”
Jun 10, 2024
Frontier AI Model Training Requires Unwritten Art, Not Just Compute
“So it isn't just, you know put in data, right, you know, put in compute, press button, go away for six months, come back, and go, ha ha, I've got GBD-IV. There's a whole bunch of art and science, and what I mean by art is like, well, you train it this way firs…”
Jun 12, 2024
Jun 12, 2024 bullish
Jul 31, 2024 negative
Mollick: Unprompted GPT-4 math tutoring led to lower test scores
“The first randomized control trial we have, I have some of my colleagues at Wharton was giving GPT-IV people for math tutoring in Turkey. Now, they didn't do a huge amount of, like, you know, it was an assigned class, and they used the system, but it turns out…”
Jul 31, 2024 bullish
Jul 31, 2024 neutral
Mollick: Only 5-10% of professionals have used advanced AI models
“Five to 10% of people in any room, whether, by the way, Silicon Valley, actual people, right, who aren't at a lab, whether that's at a large bank, whether that's at a conference of innovation professionals, maybe five to 10% have used those models, and maybe t…”
Aug 19, 2024 positive
Aug 28, 2024 neutral
Aug 28, 2024 negative
Narayanan: GPT-4 passing bar and medical exams meant nothing for actual practice
“So when GPT-IV came out and OpenAI claimed that it passed the bar exam and the medical licensing exam people were very excited slash scared about what this means for doctors and lawyers, and the answer turned out to be approximately nothing, right? Because it'…”
Aug 28, 2024 bearish
Aug 28, 2024 bearish
Sep 4, 2024 bullish
Kolter: Open-sourcing models at GPT-4 capability poses low catastrophic risk
“If you look at the current best models that there are right now, so things like GPT-IV, Claude, 3.5 Gemini, things like this, I would not currently be all that nervous about having an open source model that was as capable as these in terms of the catastrophic …”
Nov 4, 2024
Altman: OpenAI faced severe, unknown technical issues early in GPT-4 development
“Well, when we started working on GPT-IV, there were some issues that caused us a lot of consternation that we really didn't know how to solve. We figured it out, but there was definitely a time period where we just didn't know how we were gonna Do that model.”
Nov 4, 2024 neutral
Altman: Competing AI labs will successfully replicate OpenAI's o1 model
“After, after a research lab does something, even if you don't know exactly how they did it, it's, I won't say easy, but it's doable to go off and copy it, and you can see this in the replications of GPT-IV, and I'm sure you'll see this in replications of O-one…”
Jan 22, 2025 negative
May 19, 2025 positive
Jan 19, 2026 neutral
Weinberg: Consumer AI is plateauing because reasoning is already sufficient
“So I think that we're seeing a plateau in performance for consumer use cases. And the reason why I think this is like a misnomer or something that people actually shouldn't pay attention to is we don't need them to be better for consumer use cases. Like, I fee…”