Trust in the real world is not immutable. It is constantly re-evaluated. So the Web of Trust concept should do this as well.

Also, there needs to be some significant consequence to people who are bad actors and, transitively, to people who trust bad actors.

The hardest part isn’t figuring out how to cut off the low quality nodes. It’s how to incentivize people to join a network where the consequences are so high that you really won’t want to violate trust. It can’t simply be a free account that only requires an a verifiable email address. It will have to require a significant investment in verifying real world identity, preventing multiple accounts, reducing account hijackings, etc. those are all expensive and high friction.

Build a tree, cut the tree at the first link, now you get rid of all of them. Will have some collateral damage though, but maybe safe to assume actually "good players" can rejoin at another maybe more stable leaf

Then I can see who added that bad player and cut off everyone who trusted them (or decrease the trust level if the system allows that).

> How do you know it's a person on the other end? Would you even see a difference if you had a computer generate that art?

Unless AI companies already developed and launched plugins/extensions for people to do something that looks like hand drawn sketches inside of Clip Studio, and suddenly got a lot better at understanding prompts (including having inspiration of their own), then I'm pretty sure it's a human.

I don't think I'd get to see in-progress sketches and it wouldn't be as good at understanding what I wanted to have had changes then. I've used various generative AI image generators (latest one Qwen Image 2511 and a whole bunch of others) and none of them, including with "prompt enhancements" can take very vague descriptions of "I want it to feel like X" or "I'm not sure about Y but something like Z" and turn it into something that looks acceptable. At least not yet.

And because I've spent a lot of time with various generative image making processes and models, I'm fairly confident I'd recognize if that was what was happening.

> Movie/show reviews, product reviews, app/browser extension reviews, programming libraries, etc all get gamed. An entire industry of booting reviews has sprung up from PR companies brigading positive reviews for their clients.

But for a long time, unrelated to AI. When Amazon was first available here in Spain (don't remember exactly what year, but before LLMs for sure), the amount of fraudulent reviews filling the platform was already noticeable at that point.

That industry you're talking about might have gotten new wings with LLMs, but it wasn't spawned by LLMs, it existed long time before that.

> the less people will trust content on those platforms.

Maybe I'm jarred from using the internet from a young age, but both me and my peers basically has a built-in mistrust against random stuff we see on the internet, at least compared to our parents and our younger peers.

"Don't believe everything you see on the internet" been a mantra almost for as long as the internet has existed, maybe people forgot and needed an reminder, but it was never not true.