Paul, Weiss Waking Up With AI

In this episode, Katherine Forrest and Scott Caravello examine the latest personal AI agents, including Meta’s Muse and the startup Instinct, discussing what they do, how they work, and the safeguards implemented in the tools.

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

Meta: How We Designed Muse

TechCrunch: Instinct’s powerful AI assistant is raising privacy and security concerns

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

In this episode, Katherine Forrest and Scott Caravello explore how victim impact statements, sentencing standards, and generative AI intersect in a recent Arizona Court of Appeals decision. They discuss the case’s procedural history, including the lower court’s reasoning and the role of the judge’s remarks, as well as broader questions about how advances in synthetic media could shape future proceedings.

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

Arizona Court of Appeals: State v. Horcasitas

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

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

In this episode, Katherine Forrest and Scott Caravello recap a busy stretch of AI model releases, then turn to the fast-moving world of brain-computer interfaces, from recent clinical trial milestones to the record funding driving a global race in the field. They close with the privacy questions raised by neural data and the laws emerging to address them.

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

Cell Press: Inner speech in motor cortex and implications for speech neuroprostheses

Neuralink: Speaking With The Mind

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