Bot or human? Creating an invisible Turing test for the internet

Proof-of-work CAPTCHAs work well for making bots expensive to run at scale, but they still rely on accurate bot detection. Avoiding both false positives and negatives is crucial, yet all existing approaches are not reliable enough.

One comment re:

> While AI agents can theoretically simulate these patterns, the effort likely outweighs other alternatives.

For now. Behavioral and cognitive signals seem to work against the current generation of bots, but will likely also be defeated as AI tools become cheaper and more accessible. It's only a matter of time until attackers can train a model on real human input, and inference to be cheap enough. Or just for the benefit of using a bot on a specific target to outweigh the costs.

So I think we will need a different detection mechanism. Maybe something from the real world, some type of ID, or even micropayments. I'm not sure, but it's clear that bot detection is at the opposite, and currently losing, side of the AI race.

I think the most likely long-term solution is something like DIDs.

https://en.wikipedia.org/wiki/Decentralized_identifier

A small number of trusted authorities (e.g. governments) issue IDs. Users can identify themselves to third-parties without disclosing their real-world identity to the third-party and without disclosing their interaction with the third-party to the issuing body.

The key part of this is that the identity is persistent. A website might not know who you are, but they know when it’s you returning. So if you get banned, you can’t just register a new account to evade the ban. You’d need to do the equivalent of getting a new passport from your government.

This concept has been studied already extensively, e.g [1] (in 2000!) by people like Rivest and Chaum, who have actual decade-old competence in that field.

[1] https://people.csail.mit.edu/rivest/pubs/pubs/LRSW99.pdf