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Reppo
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Reppo
@reppo
Decentralized AI Training + RL Infrastructure, powered by Prediction Markets
Staked verifiers + disagreement pricing onchain lets you control for noise and extract high-signal data without having to scale volume indiscriminately. Our enterprise rollouts will show more evidence of this. Learn more about our roadmap onNarration: the data efficiency black hole. 00:00:00 – What is really driving AI progress? 00:03:11 – Comparing human vs AI sample efficiency 00:08:46 – Does sample efficiency matter? Also on pod and YouTube feed.
00:00- Reppo reposted
Spicenet x Reppo Private Beta Mainnet - Reppo reposted
A huge turning point for @reppo this week. Here's the full picture: 1️⃣ Orquestra is live in private beta. From initial concept to profitable agent swarms in under a month. Nodes are already earning while humans sleep. GA release targeted no later than June 30 with a goal of 100+
- Update: Humans continue to sleep. Orquestra continues to earn while generating training data.
- Reppo repostedGiven the glitches on X spaces today, we are hosting a community AMA where the entire Reppo team will be available for you to ask any questions related to network growth, roadmap, Orquestra and generally where we are going. Please feel free to post your questions below ahead of
- Reppo reposted
Replying to @AlgodTrading and @reppoOur Vetoken model is entirely different and addresses your critics on misaligned incentives. Some thoughts if you are keen to learn how we have innovated on the mechanism design - - A key metric to pay attention is the total number of locks and % change in new locks - Up 81.9% since last month. reppostats.com Judgement is now more liquid on Reppo ⛽️
- Reppo reposted
My thesis about $Reppo remains unchanged. For all of human history, judgment died with the person who had it. The master craftsman's sense of when the joint is right. The analyst's instinct for which story doesn't add up. The doctor who knows before the chart does. Tacit, - Reppo reposted
the whole article is basically arguing ai development becomes crowdsourced 90% is spent discussing how incentives must work = exactly what @reppo is building an incentive system for improving data quality "the crowdsourced training stack will define the specialization era"
