Jul 10, 2026

Podcast Crossover: AIE, AGI, frontier lab strategy with ​ ⁨@matthew_berman⁩ and @swyxtv

Matt, the organizer of the AI.engineer conference, shares insights into its origin, the challenges of early adoption, and its current value as a neutral ground for AI labs. He delves into AI hardware trends, discussing specialized chips like Etched, and gives a nuanced take on Anthropic's Fable, addressing performance concerns and compute limitations. The conversation then explores OpenAI's rumored equity offer to the US government, discussing implications for regulation and societal involvement. Matt shares his perspective on AI existential risk and alignment, emphasizing the need for pragmatic engineering solutions. Finally, he outlines the limitations of current LLMs, the critical need for data efficiency, and offers strategic advice for "Agent Labs" navigating the "model capability overhang" versus multi-model agnosticism.

Jul 07, 2026

The AI Threat Almost No One Is Working On (with Benjamin Todd)

Benjamin Todd provides an updated career strategy for the AI era, explaining why 'follow your passion' is flawed and what truly builds fulfillment. He details the ABZ framework for planning under deep uncertainty and the 'moving bottleneck' concept to stay valuable as AI advances. The discussion highlights that a human-level digital worker quickly becomes superhuman and maps critical AI risks including power-seeking AI, extreme power concentration, and engineered pandemics, emphasizing that individual careers can be a powerful lever for good in these transformative times.