GPT-4
OpenAI multimodal large language model
What podcasters actually say about GPT-4.
129 mentions, no marketing. Save them all to a pod and ask any question.
Common Themes
Videos Mentioning GPT-4
Stanford CS25: Transformers United V6 I Overview of Transformers
Stanford Online
Mentioned as an example of a large language model that is computationally expensive to train.
SpaceX-Cursor Deal, SaaS Debt Bomb, New Apple CEO, SPLC Indictment, Colon Cancer Spike
All-In Podcast
An AI model, used as a benchmark against which Cursor's Composer 2 model is ranked.
Is AI About to Automate Every Office Job? (Not a Chance)
Cal Newport
AI model that demonstrated significant implicit encoding of logic and rules, highlighting a past era of rapid improvement.
Is AI About to “Eat Everything”? (It’s Not.)
Cal Newport
A large language model that represents advancements in AI capabilities, used as a reference point in the Epoch Capabilities Index.
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 13: Data (Sources, Datasets)
Stanford Online
Used to generate instruction data (OpenHermes) for training the quality classifier in DCLAM.
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 12: Evaluation
Stanford Online
Mentioned as a benchmark for increasing model performance over time, with scores around 39% on GPQA initially and later reaching 94%.
AI Dev 26 x SF | Vlad Luzin: Herding Cats—The Hidden Challenges of Multi-Agent Autonomy
DeepLearningAI
Mentioned as an example of a cutting-edge LLM that can be utilized in future agent interactions.
AI Dev 26 x SF | Erik Thorelli: Deploying AI Code Review at Scale
DeepLearningAI
Mentioned as part of the GPT family of models, highlighting the divergence in prompting strategies between its generation and newer models like GPT-5.
AI Dev 26 x SF | Ankit Mathur: The Coding Agent Multiverse of Madness
DeepLearningAI
An updated version that provided a large boost in developer productivity.
AI Dev 26 x SF | Amrita Venkatraman: 3rd Era of Software Development
DeepLearningAI
Used for writing plans due to its strength in strategizing and thinking. It's noted as being better for planning than Composer 2.
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Enterprise Internal Knowledge
Stanford Online
Described as a significant step-change in model quality.
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 15: Mid/Post-Training
Stanford Online
A model exhibiting strong instruction following capabilities, capable of 'oneshotting' complex prompts. It serves as a benchmark for which other models are compared against, even in reverse engineering efforts.
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 14: Data
Stanford Online
Used by Microsoft in the '51' project to classify a subset of data based on the prompt 'determine educational value', generating target data for training a cheaper classifier.
Pyramid of Work and The Future of Enterprise Automation | The a16z Show
a16z Deep Dives
A large language model from OpenAI. It was too slow for Happy Robot's needs for negotiating rates, leading them to fine-tune other models.
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 17: Alignment - Multimodality
Stanford Online
Used to synthesize training data for LLaVA by generating questions and conversations based on image captions and objects.
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Guest Lecture: Dan Fu
Stanford Online
Mentioned as a reference point for the capabilities of current large language models.
Stanford CS153 Frontier Systems | Scale, AGI, and the Future of Everything
Stanford Online
A more advanced model developed by OpenAI, mentioned as being ready during the development of ChatGPT and a key component in making the chatbot much better.
Inside The AI Race: DeepMind, OpenAI, Anthropic, China, and The Race to Superintelligence
Tim Ferriss
A later version of ChatGPT that significantly reduced hallucination and added multimodal capabilities (video, audio, long context window, reasoning, agentic coding), demonstrating the rapid progression of AI models.
How To Read AI Research Papers Effectively
DeepLearningAI
A large language model mentioned as a benchmark and a tool for asking for paper recommendations.
Stanford CS547 HCI Seminar | Spring 2026 | Toward Ontological Multiplicity in AI and Computing
Stanford Online
A commercial LLM chatbot that, along with Bard, offered multiple perspectives on the definition of 'human' but shared a common underlying assumption of humans as biological individuals.
NEW: Alex Hormozi Answers Your Questions on Reddit
Alex Hormozi
Mentioned as a significant improvement in AI model development from GPT-3, with subsequent versions showing smaller gains.
Why the Next 10 Years May Add 50 to Your Lifespan | Dr. Derya Unutmaz
FoundMyFitness
An earlier AI model used for scanning literature to save research time, which is less advanced than current versions.
Why Physical AI Is the Next Platform Shift
Y Combinator
Encord deals with multiple petabytes of data, processing more data than was used to train GPT-4.
How Anthropic builds products like Claude Code before the AI models are ready | Dianne Penn
Lenny's Podcast
A competitor AI model mentioned for its early use in coding, setting a benchmark for Claude's development in that area.