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.

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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 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.

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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 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

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