A deep dive into building agentic systems using OpenAI's latest APIs. The session covers the core concept of 'agentic tool calling' (reasoning + tools), outlines a four-part framework (Agent, Infrastructure, Product, Evaluation) for designing long-horizon tasks, and provides a hands-on demonstration of building a non-blocking task processing system with a real-time progress UI.
The panel discusses KPMG's 100-page prompt for its TaxBot, debating the future of prompt engineering versus fine-tuning. They also analyze OpenAI's potential move into selling cloud infrastructure, the impressive capabilities of Google's new image model, Nano-Banana, and new AI-powered fan experiences at the US Open.
Ben Lorica and Evangelos Simoudis analyze three pivotal AI trends: the "Great Hollowing Out" of entry-level jobs, the financial disconnect between AI hardware depreciation and its useful life, and OpenAI's strategic shift to router-based models in the quest for a sustainable business model.
Experts from IBM discuss Perplexity's audacious bid for Google Chrome, analyzing it as a strategic marketing move and debating the browser's future as a key platform for enterprise AI. They also explore the future of generative video, questioning if it's a consumer or enterprise feature while highlighting critical IP and ethical hurdles. Finally, they assess the GPT-5 release, countering claims of an AI plateau and discussing user attachment to older models and the shift towards software-defined AI systems.
SemiAnalysis CEO Dylan Patel discusses the shifting AI landscape, covering OpenAI's strategic open-source release, the fierce competition to challenge Nvidia's dominance, the consolidation of neoclouds, and the geopolitical implications of the global AI infrastructure buildout.
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.