Capability overhang

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

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.

Field Guide to Fable — Thariq Shihipar, Anthropic

Field Guide to Fable — Thariq Shihipar, Anthropic

Thariq Shihipar from Anthropic introduces Fable, their newest model, as a major leap forward, emphasizing "capability overhang" where tool use unlocks unprecedented intelligence. He provides a "field guide" on working with Fable, discussing evolving prompt engineering, advanced tool interactions (like HTML reports), and strategies for identifying project unknowns. He concludes by challenging the necessity of traditional tradeoffs, advocating for ambitious development that is both good, fast, and cheap, and urging AI engineers to prove the transformative power of AI.