Google I/O 2025 Special Edition - #733
Today, I’m excited to share a special crossover edition of the podcast recorded live from Google I/O 2025! In this episode, I join Shawn Wang aka Swyx from the Latent Space Podcast, to interview Logan...
28 Maj 202526min
RAG Risks: Why Retrieval-Augmented LLMs are Not Safer with Sebastian Gehrmann - #732
Today, we're joined by Sebastian Gehrmann, head of responsible AI in the Office of the CTO at Bloomberg, to discuss AI safety in retrieval-augmented generation (RAG) systems and generative AI in high-...
21 Maj 202557min
From Prompts to Policies: How RL Builds Better AI Agents with Mahesh Sathiamoorthy - #731
Today, we're joined by Mahesh Sathiamoorthy, co-founder and CEO of Bespoke Labs, to discuss how reinforcement learning (RL) is reshaping the way we build custom agents on top of foundation models. Mah...
13 Maj 20251h 1min
How OpenAI Builds AI Agents That Think and Act with Josh Tobin - #730
Today, we're joined by Josh Tobin, member of technical staff at OpenAI, to discuss the company’s approach to building AI agents. We cover OpenAI's three agentic offerings—Deep Research for comprehensi...
6 Maj 20251h 7min
CTIBench: Evaluating LLMs in Cyber Threat Intelligence with Nidhi Rastogi - #729
Today, we're joined by Nidhi Rastogi, assistant professor at Rochester Institute of Technology to discuss Cyber Threat Intelligence (CTI), focusing on her recent project CTIBench—a benchmark for evalu...
30 Apr 202556min
Generative Benchmarking with Kelly Hong - #728
In this episode, Kelly Hong, a researcher at Chroma, joins us to discuss "Generative Benchmarking," a novel approach to evaluating retrieval systems, like RAG applications, using synthetic data. Kelly...
23 Apr 202554min
Exploring the Biology of LLMs with Circuit Tracing with Emmanuel Ameisen - #727
In this episode, Emmanuel Ameisen, a research engineer at Anthropic, returns to discuss two recent papers: "Circuit Tracing: Revealing Language Model Computational Graphs" and "On the Biology of a Lar...
14 Apr 20251h 34min
Teaching LLMs to Self-Reflect with Reinforcement Learning with Maohao Shen - #726
Today, we're joined by Maohao Shen, PhD student at MIT to discuss his paper, “Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search.” We dig into...
8 Apr 202551min
