DevDay Debrief with OpenAI's Brian Fioca

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Fresh From the Labs

Pioneer Square Labs

23 episodes

3 days ago

Fresh From the Labs is your front-row seat to the future of AI — straight from the builders shaping it. Hosted by the product team at Pioneer Square Labs, a Seattle-based venture studio, each episode dives into the week's most exciting AI breakthroughs, tools, and trends. No hype, just hands-on insight from the people actually prototyping, experimenting, and pushing boundaries with the latest tech. Whether you're building with AI or just trying to keep up, this podcast is your lab-tested shortcut to what matters most.

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DevDay Debrief with OpenAI's Brian Fioca

Fresh From the Labs

37 minutes 19 seconds

3 weeks ago

DevDay Debrief with OpenAI's Brian Fioca

Welcome back to a super special episode of Fresh from the Labs! The team is joined by PSL alum Brian Fioca, now a Solutions Architect at OpenAI, for a deep dive into the latest from Dev Day and the strategies shaping the AI frontier.

The conversation kicks off with AgentKit, OpenAI's new visual workflow for building agents, and the accompanying open-source ChatKit. We discuss how these first-party tools aim to solve the chronic pain of building a high-quality chat experience and remove the undifferentiated heavy lifting of creating evaluation harnesses and tracing systems.

This leads to the billion-dollar question: with OpenAI building so much product, where can startups possibly build? Brian offers an insider's perspective on OpenAI's AGI-focused mission, explaining how products are often stepping stones for research and that the biggest opportunities for startups lie in building domain-specific tools, workflows, and the "picks and shovels" infrastructure that OpenAI won't.

We also explore the other massive Dev Day announcement: the ChatGPT App SDK. Drawing parallels to the Apple App Store boom, the team discusses its potential to become a monumental distribution channel for a new generation of AI-native startups. To cap it off, Brian shares fascinating insights from his work on GPT-5, explaining how models develop "habits" during training, the power of watching "reasoning tokens" to understand a model's thought process, and how advanced prompting is evolving into a deep craft.