GPT-4o
large multimodal model from OpenAI
What podcasters actually say about GPT-4o.
38 mentions, no marketing. Save them all to a pod and ask any question.
Common Themes
Videos Mentioning GPT-4o
How Scaling Laws Will Determine AI's Future | YC Decoded
Y Combinator
A frontier AI model mentioned as an example of current advanced LLMs built upon scaling principles.
Why OpenAI's o1 Is A Huge Deal | YC Decoded
Y Combinator
A previous OpenAI model that users don't always prefer over o1 for informal tasks, and against which o1's performance was discussed.
30 ChatGPT Hacks You Need to Know in 2026 (Become a PRO!)
AI Master
The primary advanced model discussed within ChatGPT, noted for its capabilities and efficiency compared to other versions.
CI/CD Breaks at AI Speed: Tangle, Graphite Stacks, Pro-Model PR Review — Mikhail Parakhin, Shopify
Latent Space
Mentioned as a model that Shopify encourages employees to use, with a minimum threshold of 4.6.
Two Rival Bets on AGI: Google I/O Highlights
AI Explained
Mentioned in relation to the 'Omni' naming convention, which Google's Gemini Omni adopted.
Stanford CS25: Transformers United V6 I From Language Models to Native Multimodal Intelligence
Stanford Online
An example of an 'omni model' capable of generating not only text but also images.
Stanford CS230 | Autumn 2025 | Lecture 8: Agents, Prompts, and RAG
Stanford Online
A pre-trained large language model (LLM) from OpenAI, used as an example of an improving base model.
How The Partner You Choose Reveals Your Self-Worth - Quinlan Walther
Chris Williamson
A specific AI model from OpenAI mentioned in the context of people having relationships with AI and its potential impact on human connection and dating.
Stanford CS329A Self-Improving AI Agents | Part 1 | Course Overview
Stanford Online
A model that reasoning models are compared against, showing outperformance in reasoning tasks but not necessarily in creative writing.
Stanford CS329A Self-Improving AI Agents | Part 2 | Test-Time Compute Scaling
Stanford Online
A closed-source model mentioned as a benchmark against which the Archon framework, using open-source models, achieved superior performance.
Stanford CS329A Self-Improving AI Agents | Part 6 | Train Time Scaling/Scaling RL
Stanford Online
A model used as a baseline for comparison against thinking models, particularly in domains with verification.
Stanford CS329A Self-Improving AI Agents | Part 8 | Agentic Evaluations and Long Horizon Tasks
Stanford Online
A model evaluated in the GDPval benchmark, showing a win rate around 12.4% against industry professionals in 2024.
Stanford CS329A Self-Improving AI Agents | Part 5 | Planning and Multi-Step Reasoning
Stanford Online
Used to annotate reasoning traces into planning and execution steps for creating the Sprint fine-tuning data.
When AI Stops Being a Project: Turning Technology into Real Value for Patients and Providers
Stanford Online
A version of GPT mentioned as having capabilities for operationalizing tasks, highlighting the potential for AI to improve daily life.