What building Tesla's autopilot chips taught Cognition's President about AI

The post highlights the lesson learned from building Tesla's autopilot chips: the importance of hardware specialization by removing redundant operations (like division) to optimize inference performance. This experience is presented as a predictive model for the future of AI inference, suggesting that custom hardware tailored to specific AI tasks will become increasingly prevalent and necessary for efficiency.