Michael Kratsios, from Scale AI and the White House, discusses US AI policy, advocating for open-source AI, flexible regulation, and supporting startups against incumbent moats. He outlines the White House's vision for AI-driven scientific discovery and the future focus on Quantum Information Science, while urging Congress to legislate on preemption and IP. He concludes with a call for technologists to engage in public service.
Saoud Rizwan, founder of Cline, discusses how AI has eroded trust in open-source communities, leading projects like Zig and curl to restrict AI-generated contributions and exposing severe supply chain risks, as seen with the litellm compromise. He argues that while community open source is struggling, the economic imperative of "open weights" models is rising. Citing the high costs of closed LLMs and the success of models like GLM at Coinbase, Rizwan draws parallels to the Open Compute project, predicting a commoditization of AI inference. He urges American labs to release open-weights models to maintain technological leadership against foreign competitors and prevent lock-in.
Nathan Lambert and Florian Brand discuss the accelerating open model landscape, focusing on the surge in Chinese models like Kimi K3 and GLM 5.2. They explore the reasons behind China's progress, the evolving US ecosystem, the cybersecurity implications of open-source bans, and debunk common misconceptions about distillation, particularly challenging Ben Thompson's recent claims. The episode concludes with predictions and a frontier model tier list.
Alistair Pullen, CEO of Cosine, discusses the UK's sovereign AI initiative, born from US export controls. He outlines Cosine's unique economic model, competing with "millions" against "billions" by licensing models instead of hosting inference. Pullen delves into why open models lag frontier systems, emphasizing active parameters and post-training data. He explains Cosine's innovative approach to "slop" through process-based RL and credit attribution, advocating for runtime proof in code review. The conversation covers their hierarchical "Swarm" sub-agent system, the challenges of memory, and advanced synthetic data generation, concluding on the geopolitical impact of export controls as an unexpected catalyst for UK AI.
Anthropic's highly anticipated Claude Fable 5 model, a public version of its advanced "Mythos class" AI with state-of-the-art capabilities in software, vision, and long-context tasks, was released and then swiftly pulled offline by the U.S. government after just three days. The removal, initiated as an export control action over national security concerns stemming from a disputed "jailbreak" claim, highlights the growing tension between frontier AI development, AI safety, and regulatory oversight.
Goldman Sachs CEO David Solomon and a16z cofounder Ben Horowitz discuss the current macro environment, the unique competitive dynamics of AI, enterprise adoption strategies like Goldman's "One GS 3.0" initiative, and the critical policy debates surrounding AI and crypto.