Agents, Bots, Users: Who's Real, Who's Fake? This is where blockchain comes in—and how it works. What is a "verifiable human identity"? Decentralized "proof of identity" systems (e.g., @worldcoin): - Verify human identity - Protect privacy - Give users control and custody of their identity (via @jay_drainjr) What happens next as agents become more human-like (e.g., @moltbook and @openclaw)? Agents need a single, portable "passport"—because their identity needs to act as a wallet, API registry, change log, and social proof—so that any interface (email, Slack, other agents) can parse and access it in the same way. Without this shared "identity" foundation, each integration requires rebuilding the infrastructure from scratch, the discovery process remains ad hoc, and users lose contextual information every time they switch channels or platforms. Cryptocurrency Makes It All *Trustworthy and Neutral* (via @SamBroner) How do you determine if a message or post is "trustworthy"? For example, if a friend messages you saying, "I'm lost, send me some money," how do you know it's really your friend? Three methods: 1. Check their driver's license (ID card) 2. Call a mutual friend (social verification) 3. Answer the phone and hear their voice (biometrics) However, all these methods can be manipulated when artificial intelligence gets involved. This is where zero-knowledge proofs come in. If all your information is public, you're essentially giving AI everything it needs to impersonate you. Zero-knowledge proofs allow users to prove specific facts or eligibility criteria (e.g., drinking age at a bar) without revealing the underlying data (e.g., the address on a driver's license). The application gets the necessary assurance, while the AI system is deprived of the original material needed to imitate. (In collaboration with @eddylazzarin)