
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
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.
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
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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