BusinessTBPN
Broadcasting live from OpenAI DevDay 2026, John Coogan and Jordi Hays interview key OpenAI leaders, researchers, and creators about major announcements including Dots, Codex Cloud, ChatGPT Spaces, and custom hardware. Guests Sam Altman, Alexander Embiricos, Andrew Ambrosino, Peter Steinberger, Tibo Sottiaux, Kath Corvac, and Casey Neistat explore the shift toward proactive autonomous agents, computer use capabilities, developer ecosystems, and the cultural balance between digital automation and constrained physical devices.
- OpenAI Dots run on isolated cloud computers, granting agents the operational range of a human worker rather than restricting them to basic API wrappers. Read →
- OpenAI rewrote ChatGPT.com in five weeks to position it as an executive app capable of handling agent workflows across desktop and cloud. Read →
- Mod Retro built a custom plugin for OpenAI Codex that lets developers vibe-code games and flash them directly onto physical cartridges. Read →
- Peter Steinberger built OpenClaw to push models beyond passive chat and give them direct execution tools to buy goods, install local software, and manage desktop workflows. Read →
- OpenAI plans to bring its in-house custom chip program online in the first half of 2027 to manage surging inference demand. Read →
- Computer use ran ten times faster year-over-year by cutting reasoning overhead, parallelizing execution steps, and speeding up safety checks. Read →
AILenny's Podcast
This episode features Lenny Rachitsky and Andrew Ambrosino, product and engineering lead for the OpenAI Codex app. They discuss how AI, particularly Codex, is revolutionizing product development by shifting focus from costly implementation to taste and curation, challenging traditional design processes and product planning. Ambrosino shares insights into Codex's widespread internal use, its vision as a versatile 'home base' for all knowledge work, and the ongoing challenges of AI's capabilities in areas like design and autonomous software development.
- AI tools like OpenAI's Codex have made the actual _building_ of software inexpensive, shifting the biggest cost in product development away from implementation. Read →
- Forget detailed 9-month product roadmaps in AI. Andrew Ambrosino, product and engineering lead for the OpenAI Codex app, says any precision beyond a few months is "false precision" because model capabilities change too fast. Read →
- The traditional "design process proper" is dead. Andrew Ambrosino, product and engineering lead for OpenAI Codex, agrees with this, stating the old process was "predicated on the assumption that implementation is expensive." Read →
- OpenAI's Andrew Ambrosino aims to make Codex the "best desktop app that has ever existed," serving as a central hub for all knowledge work, not just coding. Read →
- OpenAI's Andrew Ambrosino, a product and engineering lead for the Codex app, states that design's subjectivity, driven by human taste, makes it significantly harder for AI to "grade" and learn compared to the binary success of code compilation. Read →