The ZC team basically just tweets when they have an update and this is very refreshing because half of the updates of other projects are the tweets themselves.
Return to backing teams that put in effort. Return to cypherpunk like experimentation. Return to building useful tech that is a net positive for all. Return to mainnet.
Done. 3 ETH to @zachxbt via @Giveth , from the zipcoin sales tax.
He fronted $350k of his own money to run down the Lazarus launderers and ate 5% on every order.
Privacy needs the people who build it defended and the people who abuse it caught.
That’s the part I’m genuinely excited about. Feels like we’re only seeing the first pieces of what this could become.
If Zipcoin can turn privacy into a composable primitive across Ethereum, the design space gets much bigger: private identity, reputation, signaling, voting, messaging and AI — without tying every interaction back to the same wallet.
Really interesting
when one of the single most recognizable & known people in this space starts talking about privacy, there's probably good cause to start paying attention closely.
Absolutely. I’m thinking more about what happens as autonomous agents become economically significant. Once they start transacting at scale, their on-chain activity can reveal a lot about their behavior and relationships. That’s where the privacy question gets really interesting to me.
What I find interesting is that privacy seems to be moving from a principle to an actual design challenge.
How do we build systems that can coordinate at scale while preserving individual autonomy and privacy?
Really curious to see how this idea develops through the next phase of Zipcoin.
How do we coordinate the future?
Because we need things that can seem fundamentally at odds with one another:
Progress without concentrating power.
Coordination without creating control.
Privacy without making cooperation impossible.
Markets without leaving every public good to the market.
AI without sacrificing human autonomy.
Decentralization without losing the ability to act.
Reading Snow Moon made me think beyond the individual technologies it explores.
If AI agents become autonomous economic actors — earning, spending, buying compute, exchanging services and coordinating with other agents — we may be creating an entirely new layer of economic activity.
Privacy becomes especially interesting in that context. On transparent blockchains, transaction graphs can reveal relationships, behavior and economic strategies. For autonomous agents, transactional privacy may therefore become infrastructure rather than simply a feature.
But I think the bigger question is coordination.
How do we design a future where humans, AI agents and decentralized systems can interact economically while preserving privacy, autonomy and trust?
Maybe the challenge ahead isn’t simply making AI more intelligent or blockchains more scalable. It’s designing the rules, incentives and infrastructure that allow different forms of intelligence — human and artificial — to coordinate without concentrating too much power in any one place.
That may turn out to be one of the most interesting problems of the agent economy.