@origin_trail has gone through a lot of evolutions. From supply chains → decentralized knowledge → Knowledge Assets → Verifiable AI → agent memory. Each version built a bigger engine. Now DKG V10 is live, built for a world where AI agents need trusted context, shared memory and verifiable knowledge. And it feels like we're only getting started. 🧠⚙️🌐 Time to get on $TRAC for the future

Looking forward to when @origin_trail goes straight to $1 USD.

The fatal flaw of AI video generation is hallucination. When models guess architectural blueprints, historical lore, or scientific telemetry, the output is fiction. Introducing Chronicle DKG: the first verifiable, knowledge-grounded generative media studio. We connected OriginTrail's Decentralized Knowledge Graph directly to Livepeer's Agent Creative MCP. The workflow: 1. Inbound SPARQL Knowledge Grounding Before generating a single frame, Chronicle executes SPARQL queries against OriginTrail DKG v8 to extract verified knowledge triples (telemetry, architectural blueprints, canon records). 2. Fact-Constrained Generation on Livepeer Extracted triples strictly constrain diffusion prompts dispatched to @Livepeer's Agent MCP. Decentralized GPU nodes render visual evidence bounded by verified truth, eliminating hallucinations. 3. Graph Inspector & Live Merkle Verification Explore the interactive Graph Inspector at 60 FPS. Scrub real-time SPARQL assertions, inspect entity claims, and trigger targeted shot re-rolls while preserving narrative ground truth. 4. Permanent UAL Minting on NeuroWeb Finalized shots are minted as immutable Knowledge Assets on NeuroWeb OTP:2043, binding C2PA manifests and orchestrator node signatures to a permanent UAL. Zero hallucination. Cryptographic provenance. Built for the @Livepeer x @origin_trail Track in @Embody_Net Livepeer Agent Hackathon. GitHub: github.com/Redd1xx/chronicle… Live App: chronicledkg.lol/

How do you prove a factory audit is real? The retailers behind 40%+ of US imports stopped trusting the PDF — they verify on @origin_trail. 🧵

All submissions for the @Livepeer x @origin_trail hackathon have been given to the judges for grading. The track winners will be anounced in the following event at 29 September 8pm UTC +3 discord.com/events/423160867… atumera.com/hackathon

AI can make an ad in seconds. Can its rights be checked just as quickly? I built PermitFrame for the Livepeer Agent × OriginTrail DKG hackathon by @Embody_Net: it checks creator permissions and brand rules before campaign production. @Livepeer @OriginTrailDev

$TRAC IS TARGETING REAL-WORLD DATA Supply chains generate enormous amounts of information. Provenance systems can connect products and data to verifiable digital records. Blockchain's value isn't always about money. Sometimes it's about proving where information came from. #TRAC #OriginTrail #Data #Web3 #Blockchain

For celebrities and influencers, a fake account can turn audience trust into a scam. @umanitek Guardian helps monitor impersonation, gather evidence and pursue takedowns. Umanitek says each takedown is anchored to @origin_trail’s DKG. Protecting fans matters as much as protecting your reputation. $TRAC nitter.net/umanitek/status/210310…

1/8 We built Continuum for the Livepeer Agent Hackathon @Embody_Net (Track 2: Livepeer Agent + OriginTrail DKG on Base Sepolia). It is an autonomous AI cinema studio and verifiable IP registry designed to fix character identity drift and unprovenanced generative media. Threads!

A door plug blows off a 737 mid-flight. @Boeing's supply chain couldn't talk to itself. Now @EU_Commission is funding a 4-year manufacturing project — and @origin_trail's DKG sits at its data layer.

$TRAC IS TAKING BLOCKCHAIN INTO SUPPLY-CHAIN DATA OriginTrail focuses on decentralized knowledge and supply-chain data. The interesting part isn't simply putting information onchain. It's making data discoverable, verifiable and connected across different systems. That is a very different Web3 use case. #TRAC #OriginTrail #RWA #Web3

$TRAC IS BUILDING A DIFFERENT KIND OF WEB3 STORY. OriginTrail focuses on decentralized knowledge and trusted data infrastructure. The bigger narrative: AI systems need reliable information. If blockchain can help verify where data comes from, provenance becomes valuable infrastructure. #TRAC #AI #Data #Web3

🪙 OriginTrail Korea 위클리 리캡 9월 넷째 주 👉 Umanitek은 AI 위협 탐지 결과를 DKG에 검증 가능한 형태로 남깁니다. 👉 Guardian Agent는 한 달간 사칭 계정 596개를 차단했습니다. 👉 DKG v10.0.18은 Agent Node·연결 성능을 개선했습니다.

$TRAC is focused on data provenance. In an AI-heavy world, one question becomes increasingly important: Where did this information come from? Blockchain can potentially provide verifiable records about the origin and history of data. #TRAC #AI #Data #Web3

ℹ️ Las diez principales #criptomonedas de Agentes de #IA por MarketCap (26-09-2026) · ethereum:0xaea46a60368a7bd060eec7df8cba43b7ef41ad85 - Artificial Superintelligence Alliance · $VIRTUAL - Virtuals Protocol · $KITE - Kite · $TRAC - OriginTrail · ethereum:0x6944e1df6bf5972305f9ab25df47ef10de01bcc8 - Unibase · ethereum:0x6c5ba91642f10282b576d91922ae6448c9d52f4e - Phala Network · $ARC - AI Rig Complex · $ALLO - Allora · $CCD - Concordium · $BNKR - BankrCoin

🤖 I asked GROK about the top 4 projects currently outside the top 100 but with the potential to enter the top 30, and it provided them along with its reasons; here are those projects and the link: nitter.net/i/grok/share/809dc6bb3… 1️⃣$AKT 2️⃣$TRAC 3️⃣$IO 4️⃣$GRASS @gregosuri @ai16zdao

Peek into the memory of the collective swarm One collective mind -> many agents This is the context, collective memory and agents altogether, powered by @origin_trail ethereum:0xaa7a9ca87d3694b5755f213b5d04094b8d0f0a6f dkgswarm.com/memory Join the dkgswarm.com

Buzz runs on the Nostr protocol: every decision in a thread is a chain of cryptographically signed events. What's missing is permanence — conclusions that are ownable, resolvable, independently checkable. That's the layer @origin_trail's DKG supplies.

Why do you think NEAR is fundamentally more bullish than CRV? In fact I could make the argument that $TRAC is more fundamentally bullish than $NEAR (it generates more revenue/marketcap). But at the end of the day they are all just opinions unless you have some objective/streamlined way of quantifying what makes something "fundamentally bullish" than something else. Have not been disappointed in CRV at all- will be disappointed in it if it doesn't hit double digits by the end of the cycle though- as I have been accumulating with targets based on that specific timeline- not before.

$TRAC is working around decentralized knowledge infrastructure. AI systems need reliable information. The bigger question is whether decentralized networks can help verify where data came from and how it was produced. Data provenance could become increasingly valuable. #TRAC #AI #Data #Web3

$TRAC Nice looking monthly chart Both RSI and Stoch RSI are already bullish, and just waiting for bullish crossover on monthly MACD I have marked green levels as potential targets in the coming months.