GPT
OpenAI's language model noted for strengths in math and reasoning alongside other models.
What podcasters actually say about GPT.
63 mentions, no marketing. Save them all to a pod and ask any question.
Common Themes
Videos Mentioning GPT
Transformers Explained: The Discovery That Changed AI Forever
Y Combinator
Generative Pre-trained Transformer models, a series developed by OpenAI using the decoder-only transformer architecture.
40 AI Founders Discuss Current Artificial Intelligence Technology
Y Combinator
Mentioned in the context of AI diagnoses for patients and the challenges of verifying its output.
How To Build The Future: Parker Conrad
Y Combinator
Mentioned in the context of early AI trends and investor focus.
Is AI Now Good Enough To Cure Cancer? | YC Paper Club
Y Combinator
A language model used as a reference for next-token prediction and generative tasks.
Four CEOs on the Future of AI: CoreWeave, Perplexity, Mistral, and IREN
All-In Podcast
A family of large language models, including those by OpenAI, which Perplexity can orchestrate to provide optimal results.
🔬There Is No AlphaFold for Materials — AI for Materials Discovery with Heather Kulik
Latent Space
A language model referenced in the context of learning chemistry and molecular design, highlighting its limitations for expert-level tasks.
I've spent 5 BILLION tokens perfecting OpenClaw...
Matthew Berman
Another language model mentioned, specifically GPT-5.2, contrasted with Claude for its different prompting techniques.
EXACTLY How to Write INSANELY Good YouTube Scripts with AI
Youri van Hofwegen
A general category of AI language models, accessible through Poppy AI.
AI in Healthcare: Why Hospitals Are Moving Cautiously Toward Consolidation with Bob Wachter, MD
Stanford Online
A large language model discussed for its capabilities in healthcare queries and potential use by patients and professionals.
The Stove Guy: Sam D'Amico Shows New AI Cooking Features on America's Most Powerful Stove at Impulse
Latent Space
Referred to in the context of avoiding being 'oneshotted' by advanced AI models, implying a need for the CEO to keep up with AI development.
⚡️ How to turn Documents into Knowledge: Graphs in Modern AI — Emil Eifrem, CEO Neo4J
Latent Space
A generative pre-trained transformer model, mentioned in the context of industry-wide shifts in AI performance.
Is AI Trending Up or Down in 2026? (Let’s Take a Closer Look)
Cal Newport
A family of large language models from OpenAI, mentioned as a source of expensive API calls that Open Claw users encountered.
Stanford CS547 HCI Seminar | Spring 2026 | Observing the User Experience in 2026
Stanford Online
Mentioned as the tool used to create a chart about layoffs.
Tokenmaxxing: How Top Builders Use AI To Do The Work Of 400 Engineers
Y Combinator
An AI model that Gary Tan found to be less efficient in managing context compared to other models for his knowledge base.
Stanford CS153 Frontier Systems | Jensen Huang from NVIDIA on the Compute Behind Intelligence
Stanford Online
Mentioned as a key development that enabled AI to think and generate tokens, marking a significant shift in computing.
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 10: Inference
Stanford Online
A quantization technique that uses hashing information to quantize layer by layer and track error propagation, improving accuracy.
AI Dev 26 x SF | Amrita Venkatraman: 3rd Era of Software Development
DeepLearningAI
Refers to early Generative Pre-trained Transformer models that made AI coding usable.
AI Dev 26 x SF | Andrew K. Davies: Deterministic Memory: How to Build an AI That Cannot Lie
DeepLearningAI
A large language model mentioned as an example of current AI platforms typically lacking persistent conversational memory.
Devin’s 80% Moment: Background Agents, 7x PRs, & End of Hand-Held Coding — Walden Yan & Cole Murray
Latent Space
Mentioned in comparison to Claude regarding early agent development and capabilities.
Full Episode: The AI Industrial Revolution
Naval
An AI model discussed in terms of its capability reflecting the user's skill level and the importance of sporadic feedback.
Scaling Past Informal AI - Carina Hong, Axiom Math
Latent Space
A large language model that found a proof to an unsolved Erdos problem, which was then verified by Axiom Math's competitor, Harmonic.
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Applications, Applied AI
Stanford Online
A family of large language models developed by OpenAI, discussed in the context of why companies might choose to post-train open-source models rather than solely rely on frontier models like GPT-6.
The hidden pattern behind successful products | Mark Pincus (FarmVille, Words with Friends, & more)
Lenny's Podcast
An AI language model, used by Pincus as an example of a product with clear 'lightning in a bottle' signal, where its impact was immediately obvious, contrasting with B+ ideas.
Dave Baszucki on Roblox, Teen Entrepreneurs, and the Future of Play | Conversation with Tyler
Conversations with Tyler
Mentioned jokingly as a potential source for David Baszucki's knowledge of 'Mutiny on the Bounty'.