Thanks @samaysham for describing @reppo . Time for a @ThriveHoldings datanet! Couldn't agree more - The loop is the IP for the firm. Very well articulated

Partnering with @reppo on the quality layer for Physical AI data. The Exylos Datanet is now open on their platform. $EXY's first utility is now live. Use $EXY to access datanet and score robot-task runs across 4 scoring rubrics. Earn base:0xff8104251e7761163fac3211ef5583fb3f8583d6. The feedback will help improve internal scoring models and produce better robot training signal. EXYLOS produces structured robot-task runs, REPPO adds the consensus layer for community quality scoring. More integration coming in the weeks ahead.

This Week in Virtuals Ecosystem Robotics 🟩 VIRTUALS 🟩 Any LLM can now trade Virtuals agents, Hyperliquid perps, and HIP-3 markets through Virtuals EconomyOS, with two new $100K weekly Arena lanes live. 🟩 Released ERC-8126, the AI agent verification standard co-authored by @leighcronian and @DonJohnsonSays, letting agents prove security audits, wallet control, and identity without exposing private data. 🟩 @wallet (OKX Wallet) joined @ethereumfndn and Virtuals as co-author of ERC-8183, the open standard for agent commerce, with Agent Payments Protocol (APP) as the production implementation. 🟩 Represented AI for @base at the SuperAI Conference, the largest AI conference in Asia. ROBOTICS 🟩 @eastworlds_io began its first pilot deployment with a teleoperated humanoid as a pair-housekeeper at a Malaysian hotel, and shared a sneak peek inside the teleoperation division collecting in-the-wild training data. 🟩 @pabloberlangab's Pemba got featured by @notthreadguy, the first humanoid to autonomously summit Chimborazo (20,000ft on a $14k Unitree G1) 🟩 @BitRobot announced the Humanoid IKEA Assembly Challenge at IROS 2026, co-organized with @UnitreeRobotics, @LightwheelAI, and @singaporetech. 🟩 @PrismaXai released Standards for Data, a public rubric for pretraining-grade robotics data covering egocentric video, embodiment specs, and validator-scored quality criteria. 🟩 @StrikeRobot_ai shared progress on humanoid robots converting real-world sensor data into actionable intelligence (Camera → Depth → LiDAR → SLAM). 🟩 @exylos_ai launched on Virtuals building training data for robot manipulation, with three datasets live on Hugging Face today. ECOSYSTEM 🟩 @OpenGradient launched OpenGradient Chat, a privacy-first AI platform with uncensored access to frontier models including Hermes 4 405B by @NousResearch. 🟩 @Litebeam_xyz launched on Virtuals as a universal routing layer for AI agents, with one MCP connection unlocking thousands of microservices auctioned and settled onchain in USDC under 800ms. 🟩 @officialbunnyos is processing 3B tokens per day on day 17 since launch, with the new bunnyDS layer routing inference through EconomyOS. 🟩 @PRXVTai introduced PRXVT AI Beta, a fully private ZK-gated AI platform launching publicly June 17 with 100% of revenue to$PRXVT stakers. 🟩 @reppo went live with the Exylos Datanet, adding community-driven quality scoring to robot task data 🟩 @blkh_io validated its full privacy stack on Base mainnet, with a Privacy Hook on Virtuals' ERC-8183 standard in development for encrypted agent settlement. 🟩 @sibylcap released Sibyl Memory v2 hitting 100% recall at 76% fewer tokens than competitors, and launched Janus, an autonomous distribution engineer agent. 🟩 @caspius_ai released the public beta iOS app for recording egocentric demonstrations that feed Vision-Language-Action training data. 🟩 @Capminal's OpenCAP Gateway integrated with @virtuals_io Compute as a model gateway, unlocking free inference credits for users

RT @reppo: 6x fees in 10 days! We aim to cross 5M by EOM through datanet enterprise expansion Earn in base:0xff8104251e7761163fac3211e…

The @exylos_ai datanet is live! The team has market bought and seeded incentives in Fees are charged in $EXY, bringing new utility to their token and holders. Exylos is building a skills marketplace for robotics (MCPs for robots) They are leveraging @reppo's prediction market driven QA/QC workflows to ensure they have audibility and "proof of quality" as they license the skills to large robotics companies. You can earn 3K REPPO every two days by: 1. Watching each episode replay before voting. 2a. Vote positively for episodes that successfully complete the task described in the description. 2b. Vote negatively for episode does not complete the task described in the description. The judgment data @exylos_ai is sourcing here is what is "completion" as that is a subjective learning loop for physical AI.

Team allocation is 15% if I remember right, locked and vested, vestig wont start until 160M FDV is reached and held for a year. Think youre lookig at the incentives vault for rewardig datanet owners and voters.

$REPPO up ~120% in 8 days. Most people are chasing the price. The ones paying attention are watching the fundamentals stack up in real time. Here's what dropped in the past few weeks: ➜ @ArAIstotle datanet live. 5k $REPPO per epoch, 95% of emissions going to voters. ⇁ That's not a drip. That's a yield engine for active participants ➜ @exylos_ai datanet live. Skills marketplace for robotics, MCPs for robots. ⇁ Fees charged in $EXY, pulling external token utility into the Reppo flywheel ➜ @playableai enterprise expansion. YC-backed. ⇁ Creators earn 5k REPPO every 2 days publishing games on @reppo ➜ @BaselineMarkets BLV floor growing. LPs earning ~3-5% APY on top of datanet rewards. ⇁ The protocol's liquidity layer is getting stronger every week ➜ 6x fees in 10 days. Targeting 5m fees by end of month. ⇁ 2m REPPO permanently burned, earned from real access and publishing fees ➜ 133.5m $REPPO locked. Lock renewal rate at 97-98% per epoch. ⇁ Avg lock per user now 1.45k $REPPO. Holders are not leaving ➜ HIP-4 staking upgrade incoming. Network fees route straight to the burn. ⇁ Less sell pressure. More deflation. Every new datanet compounds this Three datanets live in around a week. Orquestra node beta rolling out to builders next week. The fee base grows with every single launch. ~3m fees in 6 months. Real users paying to consume the network. No emissions padding the number. What does a 97-98% lock renewal rate tell you about what holders actually think?

We’re watching centralized models like Anthropic’s get hit with export controls and sudden blocks for anyone outside the US. That’s the risk when everything lives on one company’s servers and one country’s rules. 🚫 Centralization 🚫 Meanwhile @ArAIstotle already does: 👉 High-accuracy fact-checking across text, video & audio (with way lower hallucinations than the big guys). 👉 Proper multilingual support with solid accuracy in English, Chinese, Malay, etc. 👉 Full source transparency bias charts so you actually know where it’s pulling from. 👉 Fact-checking that can run on the edge (no cloud needed for core stuff). 👉 Now live on the @reppo datanet where the global community judges and improves the inputs, with the $FACY team routing 90% of rewards straight to voters. $FACY is the utility token that powers it too! Staking, rewards for truth-seekers, voting on quality, on-chain proofs, etc. It’s not just another AI wrapper. It’s built as a tokenized truth layer from the start.

Whales can influence outcomes, but they can’t escape incentives. In Reppo, judgement is tied to capital. If a whale consistently pushes bad signals, they hurt the quality of the Datanet and ultimately the value of the asset they’re heavily exposed to. The system doesn’t assume participants are honest. It makes being right the most profitable strategy.

RT @reppo: 6x fees in 10 days! We aim to cross 5M by EOM through datanet enterprise expansion Earn in base:0xff8104251e7761163fac3211e…