For example, if Freenet were to reach scale, it could eventually need some kind of economic primitive around it. Something similar to how Filecoin handles decentralized storage, but for app state. One way to do this could be paying peers to keep app state available, serve it reliably, etc. and prove they are doing so.

All it would take is implementing their own forked version of VSCode (like Cursor did) and making Claude the default choice.

Obviously I'm simplifying here, but they definitely have the capability to do it.

It amazes me that we live in a world where people need an injection just to appear healthy. Most of the benefits of fitness come from the process itself (going to the gym, doing cardio, eating high quality food, getting enough sleep, being in a routine, etc.)

If the goal is to produce the most accurate forecast possible, then informed traders (especially asymmetrically informed traders) are a feature of the system, not a bug. The market is a system for discovering the truth, and it generally rewards whoever brings that truth to the table first.

If the goal is to create a fair playing field where the crowd collectively arrives at an answer, then yeah someone with private information becomes problematic.

But I'd argue that's optimizing for fairness at the cost of accuracy, and accuracy is much more important.

Yes prediction markets represent "wisdom of crowd", and they do this by rewarding people who contribute correct information. So informed traders are the ones making the system work, and they're putting actual money on the line to back up their claim. Without them you're just left with uninformed guesses, which isn't really "wisdom of crowds", it's noise.

The goal of a prediction market is to be able to forecast the future as accurately as possible. Restricting informed traders weakens the mechanism that makes them useful.

Money signals how strongly someone believes something will happen.

Most SaaS companies are just expensive wrappers on top of existing tools. For non-VC-funded companies, SaaS tools are a serious cost. If you can re-create them in-house with AI, why wouldn't you? The result is saving capital (which you can then employ to do the more innovative things), and being in control over your own data.

https://www.youtube.com/watch?v=5QwOpRh-IfI

- General knowledge: by intentionally curating the information I consume

- Chess: by practicing tactics, watching videos, and learning new openings

- Salsa: by dancing a lot

- SEO: by building a side project and trying to get it to rank well on Google