Tesla

Chasing Trillion-Dollar Companies, Founder Ambition, Token Budgets, & Regulatory Capture

Aug 6, 2026 · 39:30

Sarah Guo and Elad Gil debate trillion-dollar company prospects, arguing that after Anthropic, OpenAI, and SpaceX hit that mark in five years, few more will repeat the pace; they see many hundred-billion-dollar opportunities. They urge founders not to retreat to niche markets out of fear of AI labs, and advise most to consider selling in a 12-to-18-month window if they aren't capturing value as costs fall. On compute, they frame token budgets as scarce, needing return-on-invested-tokens thinking. They assess lab belief that coding is solved within six months and light RSI by end of next year, while noting 18-month forecasts have repeatedly missed. Finally, they warn California's billionaire tax and exit-tax plans push founders to Texas, and that overcorrecting on AI safety risks repeating the regulatory capture that stalled nuclear power.

Building an Autonomous Delivery Experience with DoorDash Co-Founders Andy Fang and Stanley Tang

Jul 23, 2026 · 49:20

DoorDash co-founders Andy Fang and Stanley Tang explain how they are building an autonomous delivery ecosystem with their in-house robot Dot, which has operated at L4 autonomy in Phoenix for over two years, weighing 300 pounds and traveling 20 mph. They discuss how Ask DoorDash, a natural-language interface, drives 50% of restaurant trajectories to new places and 40% larger grocery basket sizes. The founders argue that a multimodal strategy—using Dot for 3-5 mile suburban deliveries, drones for rural areas, and Dashers for complex orders—is key, and that despite autonomy, DoorDash will have more Dashers in 10 years due to 25% annual growth and 9 million active Dashers. They emphasize that their advantage comes from combining world-class operations with real-world data from 10 billion deliveries, solving the first and last 100 feet problem that general-purpose autonomy companies overlook.