The reason humans are so useful is not mainly their raw intelligence. It’s their ability to build up context, interrogate their own failures, and pick up small improvements and efficiencies as they practice a task. Dwarkesh Patel’s quote nails the problem and points to the root cause of why the reality of AI adoption is far behind the hype, despite the deep-seated feeling we all have that AI transformation is inevitable. In this post, based on our recent experiences selling 7-figure AI deals to Fortune 500s and Silicon Valley tech cos alike, I'll discuss how "confident inaccuracy" seems to be at the heart of this problem. I’ll discuss what we’ve done to fix it and how we can use it to power an organic continuous learning loop across the organization.