In this episode, Scott Caravello examines the rapid-fire release of three frontier AI models within days of each other: Claude Opus 4.7, GPT 5.5, and DeepSeek V4. From advancements in long context performance and safety alignment to dramatic differences in pricing, he unpacks what these releases mean for the evolving AI landscape.

##

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

In this episode, Katherine Forrest and Scott Caravello cover new AI model releases and take a deep dive into vibe coding, explaining how natural-language-driven code generation is reshaping software development and why security oversight remains essential.

##

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

In this episode, Katherine Forrest and Scott Caravello break down three generative AI architectures—transformers, JEPA, and diffusion models—exploring what sets each apart and how they overlap. They also discuss Manifold-Constrained Hyper-Connections, a recent innovation aimed at improving how transformer layers communicate during training.

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

DeepSeek AI: mHC: Manifold-Constrained Hyper Connections

##

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

In this episode, Katherine Forrest and Scott Caravello revisit Claude Mythos Preview, unpacking Anthropic's limited rollout through Project Glasswing and its unprecedented cybersecurity capabilities.

##

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

In this episode, Katherine Forrest and Scott Caravello examine OpenAI's latest paper suggesting proactive policy measures to help society navigate the economic and social changes that advanced AI may bring. They unpack the paper's key recommendations and consider broader industry perspectives on managing the transition ahead.

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

OpenAI: Industrial Policy for the Intelligence Age: Ideas to Keep People First

Dario Amodei: The Adolescence of Technology

##

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

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

##

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

##

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.

##

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