The human brain runs on 20 to 30 watts. AI (large language models) model estimation consumes gigawatts. A teenager can learn to drive in a couple hours. In contrast, Tesla AI requires 10 billion miles of actual car driving data. And it still makes elementary driving errors like failing to stop for trains: https://www.bloomberg.com/news/articles/2026-08-22/nvidia-customers-notified-about-ai-related-price-hikes-above-15?
So is betting the house on a resource-intensive, but second rate technology? Large language models appear too expensive and too mediocre in performance to be the future of AI.
