We don't believe it until we can observe it
TL;DR
We keep practices that produce a result we can observe, and drop the ones that don’t prove out. A demo based bootcamp can do that.:
Try it on real work, look at what happened, keep it or drop it.
Amazing Results, Broken Promises
The past 2 years have brought us results so amazing that we changed our whole view of what would ever be possible.
The flip side is also true. There have been a lot of predictions that have yet to show factually as true.
Validation and Testing
One thing that AI does extremely well is test automation. This has been proven soundly.
We don't have to believe. We can run tests, validating hypotheses as we go.
Being a bootcamp, that's pretty easy to do.
Being risk-averse, we prefer that approach. Not to make a big deal out of it, because it's fun.
Also see RSI: recursive self-improvement which is highly related to belief vs reality, as a topic.