And I’ve been thinking a lot about a problem that doesn’t get as much attention as it should: privacy in API calls. If you’re running local AI agents, do you think you’re safe? Well, the access patterns you leave behind can tell a whole story about what you’re doing.

Expert @zengjiajun_eth raised a very relevant point about this. Even if you don’t share data directly, the searches you perform, the timing, the frequency—all of that leaks information. This is exactly the kind of concern that cypherpunks have been trying to address from the beginning: encrypting the content isn’t enough; you need to hide the very pattern of communication.

An obvious solution would be to use mixnets to anonymize these calls, right? It makes theoretical sense. But here’s the practical problem: API providers would become extremely vulnerable to DoS attacks. Someone could flood the service with anonymous requests with no way to trace them. So you end up needing robust anti-DoS defenses, and eventually, payment per call—whether by credit card or stablecoins.

But here’s the real point: privacy isn’t a problem you solve with a single solution. It’s like trying to improve longevity—you can’t get results by attacking just one aspect. You need a full-stack approach, integrating multiple layers of protection. Network security, transaction anonymity, protocol design—all working together.

If you truly want to mitigate data leaks, you need to think in comprehensive strategies, not isolated patches. That’s what it means to take privacy seriously.