In this episode, Katherine Forrest and Scott Caravello go inside the material world of digital minds. Our hosts explain how companies operate the massive data centers serving as the physical foundation for AI, break down the staggering energy demands behind them, and consider what powering the future might mean—by way of gigawatts and governance.

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In this episode, Katherine Forrest and Scott Caravello examine one of China's approaches to achieving artificial general intelligence (AGI), drawing on reports from Georgetown's Center for Security and Emerging Technology (CSET). They discuss the country's focus on embodied AI and robotics as a potential path to AGI, multilevel government initiatives supporting this development, a large-scale social simulator project in Wuhan, and significant investments in power grid and data center infrastructure.

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In this episode, Katherine Forrest and Scott Caravello trace how a "vibe-coded" project became Moltbook, a social network for AI agents. Our hosts unpack its lobster-themed lore and early community drama, consider whether the site represents truly autonomous agent activity or human direction, and assess the cybersecurity risks.

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In this episode Katherine Forrest and Scott Caravello take us down “memory lane” to explain the importance of high bandwidth memory (HBM) and RAM to AI development. Our hosts also give us a rundown of potential challenges ahead, unpacking developments in the market for memory, including plans for additional capacity and lobster-style RAM pricing.

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In this episode, Katherine Forrest and Scott Caravello explore small language models (“SLM”) and their potential implications for task specialization, speed, and confidentiality. Our hosts also share some recent research covering expectations surrounding SLM adoption and growth.

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In this episode, Katherine Forrest and Scott Caravello unpack OpenAI researchers’ proposed “confessions” framework designed to monitor for and detect dishonest outputs. They break down the researchers’ proof of concept results and the framework’s resilience to reward hacking, along with its limits in connection with hallucinations. Then they turn to Google DeepMind’s “Distributional AGI Safety,” exploring a hypothetical path to AGI via a patchwork of agents and routing infrastructure, as well as the authors’ proposed four layer safety stack.

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In this episode, Katherine Forrest and Scott Caravello kick off 2026 with predictions on humanoid robots, agentic AI and the legal flashpoints to watch. They break down the AI infrastructure boom and unpack the line between acqui-hire and acquisition. Our hosts also spotlight OpenAI’s Disney licensing for Sora and the rights issues behind AI-generated “behind-the-scenes” clips, foreshadowing a deeper conversation to come.

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In this episode, Katherine Forrest and Scott Caravello unpack how regulators are thinking about AI in the financial sector. Joined by Paul, Weiss colleagues Roberto Gonzalez and Sam Kleiner of the firm’s Economic Sanctions and Anti-Money Laundering (“AML”) practice group, they explore the Financial Stability Oversight Council’s initiatives on AI, the Office of the Comptroller of the Currency’s model risk management guidance, FinCEN’s position on AI tools for AML compliance, and how financial institutions are utilizing AI in their compliance programs. This is both the first episode of the new year and the first in the podcast’s history to feature guests—kicking off 2026 with fresh perspectives on AI for financial institutions and key regulatory trends that banks should keep in mind.

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In their first episode of the New Year, Katherine Forrest and Scott Caravello unpack OpenAI’s release of GPT-5.2, covering its performance on benchmarks like Humanity’s Last Exam and on OpenAI’s own GDPval—an evaluation designed to test the model's ability to match or surpass professionals' performance on real world tasks. Our hosts also examine the model’s sharp drop in hallucinations and break down OpenAI’s discussion of the model’s resistance to prompt injections and how it stacks up under the company’s safety framework.

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In this episode, Katherine Forrest and Scott Caravello examine how deepfakes have evolved from static clips to adaptive, real-time impersonation driven by identity engines and behavioral replication. They explain why sensor-consistent forensics are being spoofed, the implications of the zero-trust evidence era for courts and companies, and how regulators and insurers are responding—plus concrete steps on provenance controls and incident response.

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