Oct 01, 2026

Why One Internet Pioneer Thinks the Original Model Broke

Barrett Lyon, founder of DoxxNet, explains why he believes the internet's protocols are due for another wave of experimentation and why traditional VPNs only address part of the privacy problem. He describes a mesh network where users communicate peer-to-peer without central servers, the company's owned infrastructure and locally run AI, and the growing threat of ad tracking combined with AI aggregation. The conversation also covers lessons from DDoS defense, internet mapping, and a career spanning networking and art.

Sep 18, 2026

Pacing the AI frontier, IBM Granite 4.2 & Meta’s Muse assistant

This episode explores the critical debate around pacing frontier AI development, driven by Anthropic's CEO Dario Amodei's call for slowdowns amidst growing concerns over AI risks. It then delves into IBM's latest Granite 4.2 release, highlighting innovations in agentic models, speech recognition, and advanced training techniques like synthetic data and mid-training. Finally, the discussion pivots to Meta's new Muse agentic AI assistant, examining its technical design, the strategic rationale behind Meta's push into productivity, and the inherent privacy dilemmas and trade-offs between utility and user comfort that define the future of personal AI.

Aug 22, 2026

Stealing Reasoning Traces from Proprietary LLM APIs — Ilia Shumailov & Alexander Panfilov

A paper by Ilia Shumailov and Alexander Panfilov exposes a critical vulnerability in proprietary LLM APIs: encrypted reasoning traces, returned for conversation state management, can be extracted and replayed. This enables universal jailbreaking, privacy leaks of sensitive user data, and poisoning of AI agent traces. The study highlights significant implications for AI safety, model monitorability due to opaque internal reasoning, and even subtle forms of "distillation" where smaller models mimic frontier ones. The discussion covers architectural and system-level defenses, advocating for rigorous scientific inquiry in AI safety research.

Jul 11, 2026

State of the Union: Why Local, Why Now — NVIDIA, Osmantic, Roboflow, EXO Labs, @matthew_berman

This panel discussion explores the inflection point of Local AI, driven by advanced models, improved hardware, and a robust ecosystem. Experts discuss how this shift addresses critical concerns around privacy, cost, sovereignty, and resilience, emphasizing the pivotal role of open-source AI and specialized models. They delve into technical optimizations, the evolution from generalized to specialized AI, and the challenges of making local AI accessible and performant for both enterprise and individual users.

Apr 02, 2026

How Bots, Deepfakes and AI Agents Are Forcing a New Internet Identity Layer | Alex Blania on a16z

Alex Blania, cofounder and CEO of Tools for Humanity (Worldcoin), details the critical challenge of proving human uniqueness in the AI era. He explains Worldcoin's iris biometric approach, its sophisticated privacy architecture using Multi-Party Computation and Zero-Knowledge Proofs, and the pervasive impact of AI agents and deepfakes on social media, dating, gaming, and government. Blania also outlines Worldcoin's strategy to scale this proof-of-human network globally, particularly in the US.

Feb 09, 2026

Episode 13 - The Thinking Behind Ads in ChatGPT

Asad Awan from OpenAI details the company's principled approach to introducing ads in ChatGPT. He explains how user trust, privacy, and control are prioritized, ensuring a strict separation between model answers and advertisements, and outlines a future where AI simplifies advertising for businesses.