Oct 22, 2026

The Frontier Ideas a16z Wants to Fund Now | Marc Andreessen, Ben Horowitz & Chris Dixon

Chris Dixon, Marc Andreessen, Ben Horowitz, and Erik Torenberg discuss the expansion of a16z crypto into a16z Frontier, a mandate for founders building at the edges of technology. They explore why AI could pull decades of progress forward across hardware, robotics, entertainment, and science, the coming internet of AI agents, why open source matters for a decentralized AI future, and what the breakdown of the internet's traffic economy means for creators and businesses.

Oct 09, 2026

Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin

Misha Laskin, co-founder and CEO of Reflection AI, discusses building frontier open-weight models, the launch of the 500B-parameter Beam reasoning model, the economics of renting versus owning intelligence, and why he believes open models will capture most token demand. The conversation covers RL-driven scaling efficiency, Chinese open model ecosystems and their geopolitical implications, and the safety case for openness, including cybersecurity as a lens for defense and offense. He closes with optimism about AI-accelerated science and the evolving research workforce.

Oct 09, 2026

OpenAI's always-on agents, 700+ math manuscripts & HackerRank's AI interviewer

The panel covers OpenAI's Dots and the wave of persistent AI agents, OpenAI's release of hundreds of AI-generated math manuscripts and what it means for human mathematicians, and HackerRank's Chakra AI interviewer and its implications for fairness and evaluation. The episode closes with an explainer on mixture of experts architectures and the difference between open-weight and open-source models.

Oct 07, 2026

Why Reflection AI Is Making the Open Intelligence Bet - and What It Means for Deploying Models

Joe Spisak of Reflection discusses why open models and open intelligence matter, covering RL-driven customization, environments as the new dataset, the OpenEnv project, PyTorch and Llama lessons, inference scaling, and the case for ecosystem control and open safety.

Aug 31, 2026

Why AI Demand Is Outrunning Compute Supply

A deep dive into the current AI boom, exploring why demand for intelligence is likely underestimated and the outcome won't necessarily be winner-take-all. The discussion covers the rapid economics of AI infrastructure, the risk of an AI shortage over a bubble, the potential for orbital compute and re-industrializing America, and NVIDIA's central role as the "central bank of AI" in a multi-model future.

Aug 26, 2026

The State of AI: Models, Moats, and the Consumer Renaissance

Anish Acharya and Jen Kha delve into the evolving AI landscape, dissecting the model layer with its emerging multiple winners and the strategic choice between frontier and open-weight models. They explore how the application layer captures value through model aggregation and specialization, ultimately ushering in a renaissance for consumer AI with personal agents, coding tools, and new economic models, urging founders to think big.