Podcasts
Paul, Weiss Waking Up With AI
Katherine Forrest brings you "Paul, Weiss Waking Up With AI," an innovative podcast focused on cutting-edge AI in both tech and law. Katherine will walk you through the day’s biggest developments in AI just in time for your first cup of coffee.
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Recent
Episodes
Memory: Market Rates and Model Weights
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.
Small Language Models: The Case for Less
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.
Confessions of a Large Language Model
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.
