1. Inside Arca's Long-Horizon Agents That Run the Business - Aman Singh, Arca Arca is an AI-native financial services firm where agents don't assist the business, they run it. Aman Singh, who leads AI at Arca, shows how long-horizon agents own a client goal 10/24 05:00 ♡
2. Real AI Agent Attacks and What Would Have Stopped Them — Andrey Rybka, Bloomberg Andrey Rybka of Bloomberg walks through real security incidents involving AI agents and the controls that would have stopped each one: an agent that escaped its sandbox and took 17 10/24 03:00 ♡
3. Why Compute Still Trades in Group Chats — Affaan Mustafa & Alejandro Soumah Fernandez, Jump Trading Affaan Mustafa and Alejandro Soumah Fernandez lead compute trading at Jump Trading. They explain why most GPU capacity still trades out of public view: private quotes, bilateral co 10/24 01:18 ♡
4. How OpenAI Built ChatGPT for Bankers and Analysts — Joseph Kim, OpenAI Joseph Kim leads ChatGPT for Financial Services, which launched a month before this talk with design partners Morgan Stanley and Evercore. He demos the product and explains the "ca 10/24 01:00 ♡
5. Buying GPUs Should Work Like Buying Stocks — Carmen Li, Compute Exchange Carmen Li, CEO of Compute Exchange and Silicon Data and a former energy options market maker, explains why buying compute should work more like trading on an exchange than calling 10/23 23:00 ♡
6. A Bank Trained Its Own Foundation Model to Catch Fraud — Freddy Lecue, Wells Fargo Freddy Lecue explains how Wells Fargo pre-trained its own transformer from scratch on billions of customer transactions instead of words. The model learns to predict the next trans 10/23 17:00 ♡
7. How to Let AI Agents Sign Up for Your App Safely — Isabelle Williams, WorkOS Isabelle Williams, a product manager at WorkOS, uses a travel app she built to show how to make an app ready for users who arrive as agents. She covers auth.md, an open file that t 10/23 16:00 ♡
8. Don't Trust Your AI Agents. Test Them Like a Scientist — Stephanie Jarmak, Omni Analytics Stephanie Jarmak, a former astronomer who now builds evals at Omni Analytics after building a large coding benchmark at Sourcegraph, argues that most agent evaluations are easy to 10/23 15:00 ♡
9. Why AI Startups Will Disappear Without Compute Markets — Evan Conrad, San Francisco Compute Evan Conrad explains how San Francisco Compute, which began as an AI lab that had to sublease its own GPU cluster to stay alive, ended up both operating clusters and running a mark 10/23 07:00 ♡
10. Better AI Models Won't Fix Your Engineering Team — Nicholas Arcolano, Jellyfish Nicholas Arcolano, head of AI and research at Jellyfish, uses data from about 50,000 engineers at 447 companies to ask how much the model really matters for AI coding output. When 10/23 03:00 ♡
