The panel discusses OpenAI's strategic release of open-weight models (`gpt-oss`), the implications of Google DeepMind's immersive 3D world generator (`Genie 3`), the economic realities behind Anthropic's `Claude Code` rate-limiting, and the competing visions of "Personal Superintelligence" from major players like Meta, OpenAI, and Anthropic.
Anthropic executives and financial industry leaders from S&P Global, Deloitte, DE Shaw, HG Capital, New York Life, and the Norwegian Sovereign Wealth Fund discuss the future of AI in finance and announce Claude for Financial Analysis, a unified intelligence layer designed to transform professional workflows.
Jared Kaplan, co-founder of Anthropic, explains how the discovery of predictable, physics-like scaling laws in AI training provides a clear roadmap for progress. He details the two main phases of model training (pre-training and RL), discusses how scaling compute predictably unlocks longer-horizon task capabilities, and outlines the remaining challenges—memory, nuanced oversight, and organizational knowledge—on the path to human-level AI.
Ben Mann, co-founder of Anthropic, discusses the accelerating progress in AI, forecasting superintelligence by 2028. He details Anthropic's safety-first mission, the "Economic Turing Test" for AGI, the mechanisms of Constitutional AI, and why focusing on alignment created Claude's unique personality.