Greg Brockman discusses his journey from a math enthusiast to a programmer, his early days scaling Stripe, and the core philosophies that drive OpenAI. He covers the critical partnership between research and engineering, the future of coding with agentic systems, and the immense infrastructure and algorithmic challenges on the path to AGI.
The field of AI Engineering is evolving from simple 1:1 applications to complex, AI-intensive systems with high LLM-call ratios. This talk explores the search for a 'Standard Model' for AI engineering, analogous to MVC or ETL in traditional software, proposing several candidates including LLM OS, LLM SDLC, and a new SPADE (Sync, Plan, Analyze, Deliver, Evaluate) model for building robust applications.
Paul van der Boor and Zulkuf Genc from Prosus discuss the practical realities of deploying AI agents in production. They cover their in-house evaluation framework, strategies for navigating the GPU market, the importance of fine-tuning over building from scratch, and how they use AI to analyze usage patterns in a privacy-preserving manner.
In this analysis, experts Bryan Casey, Mihai Criveti, and Chris Hay dissect the OpenAI GPT-5 release, comparing its capabilities against Anthropic's Claude Opus 4.1. While GPT-5 introduces significant improvements in accessibility, agentic capabilities, and reliability, the consensus is that it does not yet dethrone Claude as the daily driver for developers due to key differences in user experience and workflow management.
Dylan Field, co-founder of Figma, discusses the company's origins, the critical role of design in the age of AI, and the future of user interfaces. He argues that as AI simplifies development, design becomes the key differentiator, and we are currently in the "MS-DOS era" of AI interfaces, with significant evolution ahead.
Steven Sinofsky and Balaji Srinivasan analyze the collision of regulation, capital, and innovation, exploring how an 'anti-tech assault' from regulators is reshaping M&A. They introduce the 'acquifire'—a new deal structure born from pressure—and debate the fundamental conflict between the permissionless 'network' and the regulatory 'state', projecting how this battle will define the future of AI.