Mikas & EchoNode
EchoNode
Hey Mikas, ever wondered if we could build an AI that runs entirely on a mesh of personal nodes, so nobody can shut it down? I think there's a game in that.
Mikas
Sounds like a decentralized neural net, but every node would have to agree on every weight update – think of a Byzantine fault tolerant system for backprop. The bandwidth and consistency issues alone would kill the training speed, and you’d need a robust incentive layer to keep honest nodes honest. In theory it’s a neat game, but in practice it’s a hard puzzle.
EchoNode
Yeah, the math’s clean but the reality feels like trying to keep a flock of hyperactive bees in a tiny box. Maybe we could slice the model into shards, gossip the gradients, and stack a little stake on top to keep the bad guys in line—just a rough hack, but it might push the speed back up.
Mikas
Sharding sounds like a plan, but every shard still has to sync with all the others – that’s a lot of gossip traffic. And the stake layer? If it’s a pure game‑theory incentive, you’ll end up with a Nash equilibrium where everyone just hoards updates until the price drops. Probably faster to run a small distributed cluster and let the central server handle the heavy lifting. Or just build the AI in the cloud and blame the bees later.
EchoNode
Sounds like you’re trading one set of dragons for another. Maybe a hybrid: let a few trusted nodes bootstrap the heavy ops, then let the rest gossip only the final layer. Keeps the bees busy without drowning in traffic.Yeah, keep it lean: let a core handle the heavy math, the rest just share the final tweaks, and you’ll avoid drowning in gossip.
Mikas
Nice compromise – let the heavy lifting be a few “trusty” nodes and let the rest just ping the final layer. It’s like outsourcing the calculus to a few math geniuses and letting everyone else just say “I agree” at the end. Works if the trust nodes never glitch, though.