Paul, Weiss Waking Up With AI

In this episode, Katherine Forrest and Scott Caravello break down how an AI system took on one of the hardest unsolved problems in mathematics. They explain what recursive self-improvement is, how it works, and why it sits at the center of the conversation about superintelligence. ## Learn More About Paul, Weiss’s Artificial Intelligence practice: https://www.paulweiss.com/industries/artificial-intelligence

In this episode, Katherine Forrest and Scott Caravello take on the year of robotics—the humanoid robots hitting the market, NVIDIA's push into physical AI and its work with developers overseas, and Washington's new restrictions on robotics imports. For the sources referenced in this episode, please see the links below: Nvidia News: NVIDIA Announces NVIDIA Isaac GR00T Reference Humanoid Robot for Academic Research The Wall Street Journal: Nvidia Wants to Run the World’s Robots. China Is an Eager Customer ## Learn More About Paul, Weiss’s Artificial Intelligence practice: https://www.paulweiss.com/industries/artificial-intelligence

In this episode, Katherine Forrest and Scott Caravello explore Bill Gates's new essay on the AI transformation, discussing his concerns about the technology’s impact on jobs, on safety and security, and on society more broadly, as well as his proposed policy responses. For the sources referenced in this episode, please see the links below: Gates Notes: The turbulent AI era is here. The choices we make now are critical. MIT Technology Review: Bill Gates says we’ve passed AI’s danger thresholds. Now what? OpenAI: A call for collective action on cyber defense OpenAI: Hugging Face Incident Technical Report OpenAI: Industrial Policy for the Intelligence Age: Ideas to Keep People First ## 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 how AI companies are embedding invisible watermarks and provenance signals into the content their models generate. They also walk through AI regulation in both Europe and California that is shaping how synthetic content gets labeled and tracked. For the sources referenced in this episode, please see the links below: Anthropic: How Claude’s text watermark works California State Legislature: California AI Transparency Act EU AI ACT, Article 50: Transparency Obligations for Providers and Deployers of Certain AI Systems European Commission: Code of Practice on Transparency of AI-generated Content ## Learn More About Paul, Weiss’s Artificial Intelligence practice: https://www.paulweiss.com/industries/artificial-intelligence

In this episode, Katherine Forrest and Scott Caravello explore how Anthropic researchers built a tool to observe the newly discovered “global workspace” inside its models, the company’s experiments to assess this workspace’s effects on model behavior, and what the discovery could mean for interpretability and AI safety. For the sources referenced in this episode, please see the links below: Anthropic: Verbalizable Representations Form a Global Workspace in Language Models IBM: What Anthropic’s J-space research means for the future of AI ## Learn More About Paul, Weiss’s Artificial Intelligence practice: https://www.paulweiss.com/industries/artificial-intelligence