Booking Overview

A practical look at how OpenAI is building and deploying AI—covering product, research, and infrastructure through conversations with the people closest to the work. For PR pros, it’s a high-credibility platform to reach an AI-building audience, especially around technical innovation and real-world use cases.

Metrics

Episodes: 20

Frequency: Irregular

Rating: 4.2/5.0

Estimated listeners: 1k-10k

Gender skew: Male

Location: USA

YouTube: 1.9M subscribers

Instagram: 4.0M followers

30s Ad: 43 - 53, 60s Ad: 51 - 61

Host

Andrew Mayne - Host of The OpenAI Podcast. Leads conversations with people at OpenAI working on product, research, and deployment, focusing on how AI systems are made and where they’re going.

Booking Intelligence

Booking Requirements

very_high
Typical Credentials:  
OpenAI team members (product leads, researchers, senior engineers) who can explain specific technical/product advancements and their impact; sometimes collaboration context with major hardware/industry partners.
Required Achievements:  
Published or led work on frontier model capabilities, Owned major product launches or research tracks (e.g., image models, evals), Led engineering breakthroughs in training/infrastructure, Contributed to open standards or widely adopted technical protocols

Recent Guest Discussions

Kenji Hata - Training Breakthroughs And Capabilities For Image Generation; Evals And Creative Control

Adele Li - Image Generation Use Cases And Trends; Images 2.0 Product Details

Greg Steinbrecher - Why Training Foundation Models Stresses Networks; Protocol Mechanics And Reliability

Mark Handley - AI Training Network Design; Multipath Reliable Connection And Open Standard Efforts

Ernest Ryu - How AI Supports Mathematical Research Workflows; Verification And Risks

Recent Topics

Artificial Intelligence, Machine Learning, Research, Product, Image Generation, Infrastructure, Model Training, Evaluation, Ai Agents, Mathematics

Episodes

Here's the recent few episodes on
OpenAI Podcast
:

Episode 19 - Inside image generation’s Renaissance moment

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...

Episode 18 - Why AI needs a new kind of supercomputer network

May 06, 2026

Training frontier models isn’t as simple as adding more GPUs—one small problem and the whole coordinated dance falls apart. OpenAI’s Mark Handley and Greg Steinbrecher discuss how a new supercomputer network design, used to train some of the company’s latest models, keeps the whole system moving in lockstep, even with record numbers of GPUs. They break down Multipath Reliable Connection, a new protocol OpenAI developed with AMD, Broadcom, Intel, Microsoft, and Nvidia, and why they’re making i...

Episode 17 - What happens now that AI is good at math?

April 28, 2026

Math is one of the clearest ways to see how far AI has come in a short span. OpenAI researchers Sébastien Bubeck and Ernest Ryu join host Andrew Mayne to explain what changed and what it could mean for the future of research. They reflect on how Ernest used ChatGPT to help solve a 42-year-old open problem, the difference between deep literature search and original mathematical discovery, and what changes when AI can work over longer timelines. Chapters01:27 The surprising progress of AI’...

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