Minecraft AI Mods, Should You Sell Your Data, Construction Paper Really Fell Off
The hosts discuss emerging AI video game modding techniques and macro consumer behavior before interviewing e-commerce and AI founders. Sean Frank details why Ridge turned down offers to sell business data to AI labs, Linda Du explains Valon Technologies' $150M Series D for vertical mortgage servicing software, Ali Partovi outlines a legal framework for holding AI companies liable for autonomous crimes, Sigil Wen introduces Underdog's on-device AI approach, Jerry Woo explains RL environments for knowledge work at Illuminate, and Bryan Johnson analyzes the biomarkers of endurance auto racing.
- Ali Partovi argues that model creators should face direct criminal liability whenever an autonomous AI system commits an illegal act. Read →
- Bryan Johnson touched a basketball rim after five months of dedicated training, aiming for his first dunk at age 49 to reverse a 20% to 40% loss in fast-twitch muscle fibers. Read →
- Illuminate builds reinforcement learning environments inside Docker containers to train frontier AI models on non-coding knowledge work. Read →
- Valon Technologies raised a $150 million Series D round at a $2.3 billion valuation to modernize vertical mortgage servicing software. Read →
- Sean Frank rejected a $480,000 cash offer from data brokers attempting to buy Ridge's proprietary business data for AI training. Read →
- Sigil Wen formulated Underdog's Law: frontier cloud intelligence compresses down to run on consumer hardware within a six-month window. Read →