Because people are more willing to be take audacious risks when things look like they will inevitably fail. It gives a sense of freedom to a project.

Giving up is the first step to success. That's when you stop trying and start doing.

That's an interesting mechanism. If you know if there are any numbers on how often that happens?

This is pretty anecdotal. We'd have to come up with ways to quantify it.

The story of the failing company taking a moonshot or making risky bets is pretty common.

This sounds like something that there'd be an HBS logo on, it likely already exists. It's a fairly easy thesis project.

There's an LLM that does conceptual searching of scholarly literature https://consensus.app/search/ but it looks like just a classic IDF/bag of words style approach labeled "ML"