Hi HN, founder of Hashgrid here. I’d love feedback.
I’m working on a low level information exchange protocol for networks of AI systems.
The goal is to let independent endpoints discover each other and collaborate without centralizing data or forcing everyone onto the same model.
The working abstraction is what I call a Neural Information Exchange.
Instead of shipping datasets around, nodes exchange queries and responses. Routing decisions are learned from feedback: which peers were useful, latency, quality signals, trust policies, etc. Over time the network forms a kind of adaptive map of “who is good at what”.
I’m working on a low level information exchange protocol for networks of AI systems. The goal is to let independent endpoints discover each other and collaborate without centralizing data or forcing everyone onto the same model.
The working abstraction is what I call a Neural Information Exchange.
Instead of shipping datasets around, nodes exchange queries and responses. Routing decisions are learned from feedback: which peers were useful, latency, quality signals, trust policies, etc. Over time the network forms a kind of adaptive map of “who is good at what”.
Would love to poke holes in this. AMA.
https://hashgrid.ai/