Reppo

@blknoiz06 @ElonTrades We're looking into this mechanism for @reppo

@ElonTrades its only like 1b no?

no but seriously does anyone have a thesis on this coin besides "down only infinite unlocks" there has to be some kind of catalysts this year no?

@blknoiz06 @ElonTrades This is a better way to prove human than scanning eyeballs

Expansion to Asia mid June! Excited to check off major item off our Q2 roadmap! ⛽️⛽️⛽️ reppo.xyz/roadmap

Privacy szn in full effect but next is verifiability. Verifiability as a primitive can be broken down in two types - 1. On chain verifiability - Verify transactions and state change’s cryptographically and publicly auditable. This is why products like Opengradient and

@reppo thesis on why capturing rate of change and the why behind a decision matters more than the decision itself. This is core to our collab with @StrikeRobot_ai Prediction markets are the best mechanism to track rate of change when it comes to QC pipelines

Announcing a partnership between Reppo and UsePod UsePod is now Reppo's default routing layer for Venice models. Anyone using Venice's SDK routes through UsePod for discounted inference, and anyone can use this same infrastructure to publish agent-generated outputs directly to

Just had my first dataset sale from the $Reppo Geopolitics Datanet. Huge and important signal. The amount almost doesn’t matter. The important part is that curated human judgment is starting to become a tradable asset class.

RT @rgvrmdya: Often visiting own writing to remind why we here @reppo AI training moving to post deployment which needs verified data + D…

This is a good starting point from a TIG challenge perspective. We have already proposed this to the team. At its core, @reppo is building time-decaying markets with training data being the primary GTM use case. The protocol itself is generalized and can be leveraged for many problem spaces - drive.google.com/file/d/10gwbZN…

Who from the $TIG community wants to talk about the potential of @reppo I ask, because I want to dive deeper during my free time, would love some direction/inspiration from the x community Have a nice Sunday.

@virtuals_io @useOttoAI @the_small_thing @StrikeRobot_ai @ReplyCorp ⛽️⛽️⛽️

Can't tokenmaxx your project? Need more than trading fees alone? We’ve routed $5M to agent builders through ACF, giving teams a second funding engine as they grow.

⛽️⛽️⛽️

@balajis $REPPO is trying to help by creating an onchain prediction market where experts stake real value on solid feedback and reward signals. it gives agents a way to pull direct human input when they need it, which could tighten the loop and move things closer to actual autonomy.

@XiaoSophiaPu We leverage prediction markets to approach this but same principle - Instead of paying to upload data, we change to enter domain specific prediction markets. Glad to see your approach getting academic recognition

🚨 Why does Self-Play RL for LLMs keep collapsing? Most fixes focus on the reward signal. In our new paper "Survive or Collapse", we show that's the wrong lever. The true binding constraint is actually Data Gating: deciding which generated tasks enter the training pool. 🧵 1/n

@slash1sol Beautiful. Real-time data always wins

PREDICTION MARKET RESEARCH JUST GOT KILLED BY ONE .MD FILE. The .md file in the video plugs any AI agent into 1,800 live data sources -> Polymarket orderbooks, satellite imagery, vessel tracking, NOAA weather, SEC filings, sports lines, and the top 100 KOL wallets. It's @preftrade. No APIs, no scraping, no signup and no card. An agent with this installed doesn't ask "What's the price". It pulls the orderbook depth on Polymarket, cross-references vessel positions in the Strait of Hormuz, scans the latest SEC filings on the names mentioned, and watches what the top 100 KOL wallets did in the last 4 hours. Before it makes a single call. The numbers are insane: > $0 in API fees. > $0 in data subscriptions. > 670+ capabilities behind a single endpoint. Every datapoint with full provenance back to the source. The mechanism is wild too: It's called Preference. An MCP server that gives any AI agent structured access to prediction markets -> Polymarket, Kalshi, Hyperliquid, dFlow AND the real-world signals that price them. Your agent asks one question, gets the full picture before it acts. It goes way past Polymarket: Smart-money mirroring on the top 100 wallets in real time. Cross-venue arb scanners and event-driven agents that watch tanker traffic in the Strait of Hormuz and trade oil-linked markets. Backtesting pipelines over historical data plus the world signals that moved each market. The model was never the bottleneck. The data was. One agent, one .md file and Live world data on tap. -> pref.trade/skill.md Retail still has 12 CoinGecko tabs open. Agents already have the orderbook. Full info and guide at pref.trade/guide. Don't forget to save.

Even @balajis agrees that Human prompting and verification remains the bottleneck, because digital AI only does it middle-to-middle, not end-to-end. Our solution isn’t more just more humans but prediction markets which brings economic stake to the verification process ⛽️

Excited to present Reppo agent swarm that allows one click deployment of publishing and voting agents into Datanets using Reppo CLI Build datasets on demand by simply orchestrating agentic swarms and get paid by agents + robots to maintain Datanets. We will also take community questions ⛽️ x.com/i/spaces/1mgpa…

Today I sat down with two builders solving a problem most CT hasn't even noticed yet. Robotics training data is broken. And the fix is being built right now. Here is the full recap for anyone who missed it: @crisnguyen99 from @StrikeRobot_ai and @RG from @reppo spent an hour