When you use AI, are you basically running around naked? 🤔
Vitalik shared his paranoid mode the other day, and after reading it, I was left a little speechless.
He wrapped his AI agent in four layers of protection.
Each conversation goes through its own independent Tor route.
Random cover traffic gets mixed into requests, deliberately making it hard to tell what’s real.
Payments go through zkAPI, which uses zero-knowledge proofs to separate payment from identity.
Prompts get rewritten first by a small local model, then sent to the cloud.
Put simply, it’s designed to protect four things:
Your payment records shouldn’t give you away.
Your IP address shouldn’t give you away.
Your typing habits shouldn’t give you away.
The things you ask about shouldn’t give you away.
zkAPI was just launched on the Ethereum mainnet by the Ethereum Foundation on October 1.
This time, Vitalik has essentially filled in two gaps the official setup didn’t cover:
one at the network layer, and one at the content layer.
He’s also upfront about the trade-offs: it’s nowhere near perfect in terms of usability.
It’s slow—especially when starting a new conversation.
Tor isn’t the ideal solution either. If a service provider colludes with an entry node, they can still perform traffic timing analysis.
What he wants is a dedicated mix network that trades bandwidth for constant cover traffic.
I really believe in this direction.
People keep saying AI agents should pay for things and get work done by themselves.
But if every payment and every question is tied to your real identity,
that’s not intelligence—it’s being an open book.
Privacy is something people are rarely willing to pay for—
until something goes wrong. Then it’s the most expensive thing of all.
When you use AI these days, do you deliberately avoid sharing sensitive information?
Or have you already accepted that you’re handing everything over?
$ETH #以太坊 #AI #Privacy
Not investment advice. DYOR. Trading involves risk.
Vitalik shared his paranoid mode the other day, and after reading it, I was left a little speechless.
He wrapped his AI agent in four layers of protection.
Each conversation goes through its own independent Tor route.
Random cover traffic gets mixed into requests, deliberately making it hard to tell what’s real.
Payments go through zkAPI, which uses zero-knowledge proofs to separate payment from identity.
Prompts get rewritten first by a small local model, then sent to the cloud.
Put simply, it’s designed to protect four things:
Your payment records shouldn’t give you away.
Your IP address shouldn’t give you away.
Your typing habits shouldn’t give you away.
The things you ask about shouldn’t give you away.
zkAPI was just launched on the Ethereum mainnet by the Ethereum Foundation on October 1.
This time, Vitalik has essentially filled in two gaps the official setup didn’t cover:
one at the network layer, and one at the content layer.
He’s also upfront about the trade-offs: it’s nowhere near perfect in terms of usability.
It’s slow—especially when starting a new conversation.
Tor isn’t the ideal solution either. If a service provider colludes with an entry node, they can still perform traffic timing analysis.
What he wants is a dedicated mix network that trades bandwidth for constant cover traffic.
I really believe in this direction.
People keep saying AI agents should pay for things and get work done by themselves.
But if every payment and every question is tied to your real identity,
that’s not intelligence—it’s being an open book.
Privacy is something people are rarely willing to pay for—
until something goes wrong. Then it’s the most expensive thing of all.
When you use AI these days, do you deliberately avoid sharing sensitive information?
Or have you already accepted that you’re handing everything over?
$ETH #以太坊 #AI #Privacy
Not investment advice. DYOR. Trading involves risk.