The spirit of this post is great. There are real lessons here that the industry will struggle to absorb until we reach the next stage of the AI hype cycle (the trough of disillusionment.)

However, I could not help but get caught up on this totally bonkers statement, which detracted from the point of the article:

> Also, innovation and problem solving? Basically the same thing. If you get good at problem solving, propagating learning, and integrating that learning into the collective knowledge of the group, then the infamous Innovator’s Dilemma disappears.

This is a fundamental misunderstanding of what the innovator's dilemma is about. It's not about the ability to be creative and solve problems, it is about organizational incentives. Over time, an incumbent player can become increasingly disincentivized from undercutting mature revenue streams. They struggle to diversify away from large, established, possibly dying markets in favor of smaller, unproven ones. This happens due to a defensive posture.

To quote Upton Sinclair, "it is difficult to get a man to understand something when his salary depends upon his not understanding it." There are lots of examples of this in the wild. One famous one that comes to mind is AT&T Bell Labs' invention of magnetic recording & answering machines that AT&T shelved for decades because they worried that if people had answering machines, they wouldn't need to call each other quite so often. That is, they successfully invented lots of things, but the parent organization sat on those inventions as long as humanly possible.