@jbrukh@btchydra187 $NOCK is building the foundations to this infra.
It will reduce entry barriers for teams looking to develop AI models without relying on a centralized cloud provider.
Like ordinary people supporting this projects will get a revenue. You couldn’t be more bulish on $NOCK
@_RN03xx_@nockchain ORCHESTRATE
$NOCK has Compute Utility: Every mined block = verifiable computation that can be traded. Every hash produces ZK proof capacity as a byproduct. And that proof capacity, once the AI Inference Market goes live - becomes directly purchasable. You can buy ZK proofs…
@0xalwaysonchain Completely forgot about the exploit. Sold it, something is not right, and the vitalik rumour was too much coordinated. But i dont get it, being a larp, how did they managed to get a live conference with eth foundation?
Transitioning from manual clicks and votes to swarms of agents trained by human experience seems like a natural step in the evolution of AI networks. The focus on humans as a source of "alpha" is 🔥
$REPPO
The wild vision of @reppo
In this next phase of network growth, AI agents will handle all the high-volume execution - publishing, voting, optimizing etc.
I expect that by end of Q3, this concept of manually publishing and voting will completely go away. No one will care there was a web app where you published and voted.
Fully node operated and agentic. High speed competitions.
But RG, wasn't the whole point human data?
Yes- Humans will stay in the loop. Humans experience remains the alpha, the edge.
Humans show up in two ways that actually matter more than clicking buttons -
1. High-leverage economic decisions: how much $REPPO is locked, compute spend budgets for the swarm, underlying model choice optimization, swarm strategy.
2. Things get absolutely crazy when humans just start live streaming their lived expereince to their validator (voter) agent swarm - domain specific real-world preference data (live streams of walking/running, Neuralink feeds, Meta glasses, in persn interactions etc.). All private to your Orquestra swarm.
The swarm then learns your preferences and proceeds to validate data inside Datanets.
Important to note that we are not talking some egocentric data BS, that stuff is already solved.
Agent swarms learning from human experience real time as your swarm mediates datanets on your behalf, printing for you under YOUR economic skin-in-the-game.
Humans experience is the alpha, the edge. Orquestra is just the medium, an implementation detail in the grand scheme of things.