GPT-4
OpenAI multimodal large language model
What podcasters actually say about GPT-4.
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Common Themes
Videos Mentioning GPT-4
Stanford CS229 Machine Learning | Spring 2026 | Lecture 12: Representation Learning
Stanford Online
Mentioned as an example of a large model (W0) that can be shared across multiple users when using techniques like LoRA.
Stanford CS329A Self-Improving AI Agents | Part 1 | Course Overview
Stanford Online
An estimated large language model with trillions of parameters, discussed in the context of exponential growth in model size.
Stanford CS329A Self-Improving AI Agents | Part 8 | Agentic Evaluations and Long Horizon Tasks
Stanford Online
A more recent model compared to GPT-2, capable of handling tasks for a few minutes with 50% success rate.
How Microsoft is Adapting to the AI Era
a16z Deep Dives
Cited as a major reason for the current excitement around AI, enabling users to perform a wide range of tasks.
AI Isn’t “Out of Control” — The AI Companies Are
Cal Newport
Mentioned as an example of an LLM whose capabilities in creating plausible text can involve impressive finite computations.
⏭️ Forward Deployed: Voice AI on what works in 2026
Latent Space
Mentioned as a potential model for cascaded pipelines, balancing speed and intelligence.
The Truth about OpenAI’s “Secret AI Civilizations”
Cal Newport
A previous iteration of OpenAI's language models where scaling up and longer training led to performance gains.
The Real Story Behind GPT-6’s “Stealth Thinking”
Cal Newport
A previous LLM model mentioned as a point of comparison for performance improvements and scaling.
Opus 5.5: How Close Are We to Automated AI Research?
AI Explained
An earlier OpenAI model, referenced as a point in time when safety evaluations were assumed to be feasible within short timeframes.