Katherine Forrest brings you "Paul, Weiss Waking Up With AI," an innovative podcast focused on cutting-edge AI in both tech and law. Katherine will walk you through the day’s biggest developments in AI just in time for your first cup of coffee.
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Recent
Episodes
Confessions of a Large Language Model
In this episode, Katherine Forrest and Scott Caravello unpack OpenAI researchers’ proposed “confessions” framework designed to monitor for and detect dishonest outputs. They break down the researchers’ proof of concept results and the framework’s resilience to reward hacking, along with its limits in connection with hallucinations. Then they turn to Google DeepMind’s “Distributional AGI Safety,” exploring a hypothetical path to AGI via a patchwork of agents and routing infrastructure, as well as the authors’ proposed four layer safety stack.
Deals, Data Centers and Disney
In this episode, Katherine Forrest and Scott Caravello kick off 2026 with predictions on humanoid robots, agentic AI and the legal flashpoints to watch. They break down the AI infrastructure boom and unpack the line between acqui-hire and acquisition. Our hosts also spotlight OpenAI’s Disney licensing for Sora and the rights issues behind AI-generated “behind-the-scenes” clips, foreshadowing a deeper conversation to come.
AI and Financial Institutions: Emerging Trends in Regulation and Compliance
In this episode, Katherine Forrest and Scott Caravello unpack how regulators are thinking about AI in the financial sector. Joined by Paul, Weiss colleagues Roberto Gonzalez and Sam Kleiner of the firm’s Economic Sanctions and Anti-Money Laundering (“AML”) practice group, they explore the Financial Stability Oversight Council’s initiatives on AI, the Office of the Comptroller of the Currency’s model risk management guidance, FinCEN’s position on AI tools for AML compliance, and how financial institutions are utilizing AI in their compliance programs. This is both the first episode of the new year and the first in the podcast’s history to feature guests—kicking off 2026 with fresh perspectives on AI for financial institutions and key regulatory trends that banks should keep in mind.