Oct 23, 2026

How OpenAI Built ChatGPT for Bankers and Analysts — Joseph Kim, OpenAI

Joseph Kim, who leads ChatGPT for Financial Services, explains the capability overhang, the gap between what models can do and the value professionals get from them at work. He covers the product built with Morgan Stanley and Evercore, why the team licensed and indexed financial data instead of relying on MCP connectors, how firm templates, charts, and citation viewers sit on the ChatGPT plugin platform, and his view of model progress, the threshold of usefulness, and three bets for finance in 2027.

Oct 23, 2026

Security and Privacy in the Underserved Majority World: Practices, Challenges, and Opportunities

Collins Munyendo presents studies from Kenya and across the majority world showing how economic pressure, shared computing resources, social dynamics, and language barriers challenge Western-centric security and privacy designs, and proposes privacy-by-design redesigns and privacy-enhancing technologies for data sharing developed with local communities.

Oct 23, 2026

Buying GPUs Should Work Like Buying Stocks — Carmen Li, Compute Exchange

Carmen Li, CEO of Compute Exchange and Silicon Data, makes the case for treating GPU procurement like exchange trading. She covers the neutral, verified marketplace model, its reserved, forward, token and secondary server products, and the RFQ routing system. She then examines Silicon Data's forward curves for H100 and B200, the market's expectation of rising prices, and how used GPUs are holding value well above standard depreciation.

Oct 23, 2026

Self-replicating AI, your doctor’s chatbot & agents at dinner

A look at three developments shaping the near future of AI: Anthropic's research on small models that could copy themselves across cheap consumer devices, a JAMA study showing how doctors are adopting clinical chatbots for treatment decisions, and an experiment in which AI agents booked a founders' dinner and then networked with one another. The panel weighs security risks in the home, the trade-offs of speed versus verification in medicine, and how much autonomy agents should have when dealing with other agents.

Oct 23, 2026

A Bank Trained Its Own Foundation Model to Catch Fraud — Freddy Lecue, Wells Fargo

Wells Fargo pre-trained a transformer from scratch on billions of customer transactions rather than words, then fine-tuned it for fraud detection, credit decisions, anti-money laundering and marketing. The talk covers how tabular transaction data was tokenized, the model's size and training setup, and results that beat the production XGBoost fraud model on both detection and false positives while meeting real-time latency requirements.

Oct 23, 2026

How to Let AI Agents Sign Up for Your App Safely — Isabelle Williams, WorkOS

Isabelle Williams of WorkOS demonstrates how to make an application ready for agent users, using a travel app called Waypoint. She covers the auth.md protocol for anonymous agent access and claim flows, ID-JAG identity assertions that let an agent's provider vouch for a user without a signup form, and scoped, revocable agent tokens that keep agent permissions auditable and bounded.