In this episode, Katherine Forrest and Scott Caravello examine world models and their growing relevance to enterprise AI, drawing on a recent IBM blog post that highlights use cases ranging from infrastructure management to atmospheric prediction. They also review the details that have emerged from a recent leak about Anthropic's upcoming Mythos model, including its reported advances in cyber, coding, and reasoning benchmarks.

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

IBM: https://www.ibm.com/think/news/world-models-next-frontier-enterprise-ai

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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 reflect on recent developments in AI regulation from the past month, walking through the White House's newly released policy framework and Senator Marsha Blackburn's proposed AI bill. They consider the nuances of each, including comparing where the two approaches align—and also diverge—on issues like preemption, copyright, and child protection.

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

The White House: A National Policy Framework for Artificial Intelligence

U.S. Senate – Office of Senator Marsha Blackburn: The Republic Unifying Meritocratic Performance Advancing Machine intelligence by Eliminating Regulatory Interstate Chaos Across American Industry Act

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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 unpack how quantum computing could amplify AI's capabilities while transforming the data centers that power it, and why the road from research lab to real-world impact is both closer—and more complicated—than you might think.

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