Sep 16, 2026

The Watchdogs of AGI — Rune Kvist of AI Underwriting Company

AIUC co-founder Rune Kvist discusses their $40M Series A, emphasizing that AI adoption's biggest constraint is trust, not capability. He details AIUC-1, their quarterly-updated standard for agent security and reliability, and their expansion into model certification to bridge the trust gap between frontier labs and governments. Kvist highlights the critical role of standards and insurance (partnering with Lloyds of London) in quantifying and mitigating AI risks, from agent liability to national security concerns, and preparing for future challenges in robotics and multi-agent systems.

Jul 10, 2026

Understanding the inner thoughts of AI

Neel Nanda, head of Google DeepMind's language model interpretability team, discusses the critical field of interpretability, likening it to the "neuroscience of AI." He explains why understanding the internal workings of "grown, not designed" neural networks is crucial for AI safety and scientific discovery. The episode explores cutting-edge techniques like Chain of Thought monitoring, mechanistic interpretability (steering and probing), and Sparse Autoencoders, highlighting their strengths and limitations in debugging, detecting deception, and uncovering hidden model objectives. Nanda emphasizes interpretability's role in building safe, aligned, and trustworthy AI as we approach AGI, acknowledging its pragmatic necessity despite inherent limits to full understanding.