OpenAI Podcast

Andrew Mayne

info+68470ba8d911dedd6501609c@mg-eu.acast.com

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Booking Overview

A practical, behind-the-scenes AI show featuring people building with OpenAI—covering how frontier models are developed and how teams apply them in real products. For PR, it’s a strong platform to reach technically credible audiences with industry/engineering credibility tied directly to OpenAI.

Metrics

Episodes: 22

Frequency: Irregular

Rating: 4.2/5.0

Estimated listeners: 1k-10k

Gender skew: Male

Location: USA

YouTube: 2.0M subscribers

Instagram: 4.0M followers

Contact Information

info+68470ba8d911dedd6501609c@mg-eu.acast.com

For verified host and producer emails, sign up to view.

Host

Andrew Mayne - Host of The OpenAI Podcast. He guides conversations with people working at and building with OpenAI across model development, new features, and user applications.

Booking Intelligence

Booking Requirements

high
Typical Credentials:  
OpenAI employees/builders and closely affiliated researchers or product leaders (e.g., reasoning researchers, researchers working on image generation, and engineering leaders focused on model training infrastructure).
Required Achievements:  
Published or led work on frontier model capabilities (e.g., reasoning breakthroughs), Delivered or led product capabilities (e.g., Images 2.0), Developed or helped develop technical protocols/infrastructure for large-scale training (e.g., network reliability/communication standards)

Recent Guest Discussions

Lijie Chen - What It Took To Verify An Ai-aided Proof; Why General Models Matter For Discovery

Hongxun Wu - How An AI Reasoning Model Contributed To Disproving An 80-year-old Math Conjecture; Running The Model And Checking The Proof

Alexander Wei - Using A General-purpose AI Model To Disprove An 80-year-old Math Conjecture; Verification And Implications For Math Research

Kenji Hata - Advances In Image Generation (e.g., Text Rendering, Photorealism, Multilingual Support) And What Comes Next For Creative Assistants

Adele Li - Chatgpt Image Generation Trends And Capabilities; Images 2.0 Use Cases And Roadmap

Recent Topics

Artificial Intelligence, Machine Learning, Generative, Modeling, Research

Episodes

Here's the recent few episodes on
OpenAI Podcast
:

Why Tejal Patwardhan stopped underestimating the models - Episode 21

June 16, 2026

The old tests are getting too easy. Tejal Patwardhan leads OpenAI’s frontier evals team, which is finding new ways to measure and forecast progress as models become more capable. She and host Andrew Mayne discuss why evals matter for research, how benchmarks can break or get gamed, and what models need to be judged on next.Chapters00:00:24 Growing up at OpenAI00:03:10 Why reasoning changed everything00:06:28 What made o1 surprising00:11:20 Why old benchmarks stopped working00:14:45 What makes...

How a reasoning model cracked an 80-year-old math problem - Episode 20

June 04, 2026

Last month AI found something mathematicians had missed for decades. Reasoning researchers Alexander Wei, Hongxun Wu, and Lijie Chen join the podcast to discuss how a general-purpose model helped disprove an 80-year-old conjecture from famed mathematician Paul Erdős. They walk through the moment the result started looking real, what it took to verify the proof, and what’s happened since sharing the discovery with the world. They also explore what this means for the future of math and for rese...

Inside image generation’s Renaissance moment - Episode 19

May 14, 2026

People are generating over 1.5 billion images a week in ChatGPT. In this episode, Product lead Adele Li and researcher Kenji Hata share some of the new use cases and trends since the launch of Images 2.0. Together with host Andrew Mayne, they trace the progress from the early DALL-E days and dive into the latest capabilities, including better text rendering, photorealism, multilingual support, world knowledge, aspect ratios, and character consistency. They also explore what comes next as imag...

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