GPT
5 statements across 5 episodes · 4 bullish · 0 bearish · 4 people on the record · first statement Nov 15, 2023 by Jake Heller · said 23 times in 11 episodes since 2023 · across every show →
Mentions by year
brought up most by Jared Friedman (7), Diana Hu (5), Max Junestrand (2), Jake Heller (2), Tom Blomfield (1), Michael Truell (1), Mark Pincus (1), Jordan Fisher (1)
tap a year for its mentions
2026 1 mention in 1 episode
2025 8 mentions in 7 episodes 1 per episode
- How This 25-Year-Old Built A $675M Legal AI Startup (With No Legal Experience) · Y Combinator
- From Idea to $650M Exit: Lessons in Building AI Startups · Y Combinator
- Ask These Questions Before Starting An AI Startup · Y Combinator
- Anthropic Head of Pretraining on Scaling Laws, Compute, and the Future of AI · Y Combinator
- Andrej Karpathy: Software Is Changing (Again) · Y Combinator
- Cursor CEO: Going Beyond Code, Superintelligent AI Agents, And Why Taste Still Matters · Y Combinator
- How To Design Better AI Apps · Y Combinator
- every mention in 2025, scene by scene →
2024 12 mentions in 2 episodes 6 per episode
2023 2 mentions in 1 episode
Everything said about GPT, oldest first
Nov 15, 2023 bullish
Heller: AI architecture will mirror cloud with base, tooling, and application layers
“To me, GPT and other models is like a base layer of capability, like cloud computing that a lot of companies, if not all companies will plug into to some degree. And there'll be another layer of technologies that help you get the most out of it. Langchain's a …”
Feb 8, 2024 bullish
Nov 8, 2024 positive
Altman: OpenAI's GPT Series Originated From Radford's Unsupervised Sentiment Neuron Discovery
“And at the time, unsupervised learning was just not really working. So he noticed this one really interesting property, which is there was a neuron that was flipping positive or negative with sentiment. And yeah, that led to the GPT series.”
Nov 14, 2024 positive
Hu: OpenAI o1 Combines Next-Token LLMs with RL Reward Functions
“GPT is all generative based on predicting the next token and patterns and then getting those results to check that they're correct. So I think a lot of it is you had to have a lot of data that was factually correct and Fed into probably the model and the train…”
Aug 26, 2025
Legora hot-swaps Claude, Gemini, GPT, and Mistral models interchangeably on AWS
“So we use AWS and Claude and Gemini and GPT and Mistral kind of interchangeably. The biggest thing there has been, how do we build everything in such a way where we can hot swap the models whenever we want, and also build it in such a way that the models becom…”