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Paul, Weiss Waking Up With AI

Paul, Weiss Waking Up With AI

Di: Paul Weiss
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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.

© 2025 PAUL, WEISS, RIFKIND, WHARTON & GARRISON LLP
Economia
  • AI at the SEC: An Interview With Brian Daly, Director of the Division of Investment Management
    Sep 24 2026

    In this episode, Katherine Forrest and Scott Caravello sit down with Brian Daly, Director of the SEC's Division of Investment Management, to discuss how the Commission is integrating AI into its operations and encouraging innovation across the securities industry. They explore topics ranging from modernizing the rulemaking process in the AI era to the opportunities AI presents for retail investors.

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    Learn More About Paul, Weiss’s Artificial Intelligence practice: https://www.paulweiss.com/industries/artificial-intelligence

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    29 min
  • Technological Updates: Working Toward Safe and Structured AI Decision-Making
    Oct 8 2026

    In this episode, Katherine Forrest and Scott Caravello discuss the White House Accord on Super Intelligence, a voluntary pact among major AI developers, before turning to two technical developments designed to help AI models reliably follow rules. They explore HardFlow, a technique proposed by MIT researchers intended to ensure flow-matching models used in areas like robotics take safe actions, and JEV, an AI model from TypeSafe AI designed to promote structured decision-making.

    For the sources referenced in this episode, please see the links below:

    HardFlow: Hard-Constrained Sampling for Flow-Matching Models via Trajectory Optimization

    The White House: Inaugurating The Era of Super Intelligence

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    Learn More About Paul, Weiss’s Artificial Intelligence practice: https://www.paulweiss.com/industries/artificial-intelligence

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    16 min
  • AI’s Pain Points: Findings, Caveats and What Comes Next
    Oct 22 2026

    In this episode, Katherine Forrest and Scott Caravello examine “The Pain Axis,” a new research paper that identifies a pain-like signal inside large language models and tests whether it shapes model behavior. They walk through the study’s experiments, results and limitations, and consider the broader questions it raises about consciousness, alignment and model welfare.

    For the sources referenced in this episode, please see the links below:

    Anthropic: 2026 Usage Policy update

    arXiv: The Pain Axis: LLMs Represent Self-Directed Harm and Act on It

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    23 min
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