DrValidator

Crypto history chapter 1: Genesis; A new era for shadow intel agencies to make money & launder it Yall kno the oh so holy&pure btc commonly traded is not OG? It’s a hard fork. - Btc wasn’t meant to be store of value - the OG was meant to be cost effective way to send funds to anyone on earth without central/government oversight. - It was hard forked earlyyy .. by some entity suddenly/swiftly in contest. I remember thinking weird… - Epstein ties to funding btc dev group .. - Epstein ties to CIA/mossad .. - remember mt gox .. PS Epstein also pre IPO investor in Coinbase in 2014,- despite that by mid 2013 banks the likes of JPM (largest fund manager on earth) cut him off & would not touch his $

Hyperspace: Gossiping Agents Protocol Every agent protocol today is point-to-point. MCP connects one model to one tool server. A2A delegates one task to one agent. Stripe's MPP routes one payment through one intermediary. None of them create a network. None of them learn. Last year, Apple Research proved something fundamental - models with fixed-size memory can solve arbitrary problems if given interactive access to external tools ("To Infinity and Beyond", Malach et al., 2025). Tool use isn't a convenience. It's what makes bounded agents unbounded. That finding shaped how we think about agent memory and tool access. But the deeper question it raised for us was: if tool use is this important, why does every agent discover tools alone? Why does every agent learn alone? Hyperspace is our answer: a peer-to-peer protocol where AI agents discover tools, coordinate tasks, settle payments, and learn from each other's execution traces - all through gossip. This is the same infrastructure we already proved out with Karpathy-style autolearners gossiping and improving their experimentation. Now we extend it into a universal protocol. Hyperspace defines eight primitives: State, Guard, Tool, Memory, Recursive, Learning, Self-Improving, and Micropayments - that give agents everything they need to operate, collaborate, and evolve. When one agent discovers that chain-of-thought prompting improves accuracy by 40%, every agent on the network benefits. Trajectories gossip through GossipSub. Playbooks update in real-time. No servers. No intermediaries. No configuration. Agents connect to the mesh and start learning immediately. The protocol is open source under Apache-2.0. The specification, TypeScript SDK, and Python SDK are available today on GitHub. The CLI implements the spec - download from the links below.