GPT-3.5, every mention
13 scenes, the whole family · ← back to GPT-3.5
tap a year for its mentions
every year anyone Jake Saper 2Arvind Narayanan 2Vince Hankes 1Sam Altman 1Richard Socher 1Joon Sung Park 1Ethan Mollick 1Bret Taylor 1Amjad Masad 1Alex Rampell 1
Verbatim, from the transcripts: the passages where GPT-3.5 comes up
The AI Company Simulating the Entire Economy | Simile Co-founder & CEO, Joon Sung Park
- ▶ 3:35 Joon Sung Park So this particular, uh, set of agents were paired with back in, back in the day, GPT, 3.5 text da Vinci.
Replit CEO: Why the SaaS Apocalypse is Justified & Why Coding Models are Plateauing | Amjad Masad · 20VC with Harry Stebbings
- ▶ 8:15 Amjad Masad So in 20, 23, when we were training models, uh, we achieved better coding performance than the, than the state of the art models at the time, GPT 3.5.
Alex Rampell: The Best Founders Materialise Capital, Customers & Labour | The Future of Venture · 20VC with Harry Stebbings
- ▶ 56:35 Alex Rampell I'd rather have GPT, 3.5 plus infinite data of everything around medical science, which is walled garden that open evidence has versus like sentient being that has no data whatsoever.
Jake Saper, GP @ Emergence Capital: "We Sold Salesforce Early and Lost Out on Billions" · 20VC with Harry Stebbings
- ▶ 1:31:18 Jake Saper Every day, knowing that the gains that took place, the improvements took place between GPT two and GPT three and a half, which just took a few years and were incredibly exponential. 2 times in the scene
Sam Altman: What Startups Will be Steamrolled by OpenAI & Where is Opportunity | E1223 · 20VC with Harry Stebbings
- ▶ 5:23 Sam Altman Um, one of the surprises to me early on was, and this is no longer the case, but in like the GPT 3.5 days, it felt like 95% of startups, something like that, wanted to bet against the models getting way better.
Bret Taylor: Why Pre-Training is for Morons & Companies Will Build Their Own Software | E1209 · 20VC with Harry Stebbings
- ▶ 22:20 Bret Taylor So foundation models are any of these large language models that aren't necessarily the best of the best or the higher per highest parameter count, but particularly now, uh, where you have relatively low parameter count models that are…
Arvind Narayanan: AI Scaling Myths, The Core Bottlenecks in AI Today & The Future of Models | E1195 · 20VC with Harry Stebbings
- ▶ 4:30 Arvind Narayanan So I, in my, in my view, at least the biggest thing that changed between GPT, 3.5 and GPT four was the size of the model.
- ▶ 44:24 Arvind Narayanan So I think, like a lot of people, I was fooled by how quickly after GPT-III.V, GPT-IV came out.
Ethan Mollick: Why OpenAl Abandons Products, The Biggest Opportunities They Have Not Taken | E1184 · 20VC with Harry Stebbings
- ▶ 4:08 Ethan Mollick When open AI released GPT, 3.5, they didn't expect to destroy higher education, you know, education, and then we'd have to rebuild it because everyone's cheating all of a sudden, right?
Aravind Srinivas:Will Foundation Models Commoditise & Diminishing Returns in Model Performance|E1161 · 20VC with Harry Stebbings
- ▶ 21:07 unnamed speaker A model that's like 75, like GPT 3.75 level model, uh, is commoditized. 2 times in the scene
Aaron Levie: How the Business Model of SaaS Changes Forever & Startups vs Incumbents:Who Wins?|E1155 · 20VC with Harry Stebbings
- ▶ 7:52 Aaron Levie When we started this whole exercise with just GPT, you know, 3.5 18 months ago, so, so the thing that kind of started the ChatGPT wave,
The Ultimate AI Roundtable: What Happens Now in AI, Why Google are Vulnerable | E1085 · 20VC with Harry Stebbings
- ▶ 9:05 Richard Socher It's already getting close to GPD 3.5 when there's this much excitement and so many careers depending on understanding these models.
Vince Hankes: Why We Put $300M into OpenAI; Sam Altman's Pitch; Lessons from Josh Kushner | E1009 · 20VC with Harry Stebbings
- ▶ 22:11 Vince Hankes They put out 3.5 turbo, which is, I think at least