Paul, Weiss Waking Up With AI

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