Before we trust the intelligence, we must trust the source.
Decentralized
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Decentralized Knowledge Graph v10 has evolved:
🗂️ Sovereign AI
| └🗂️ Sovereign Context Infra
| └🗂️ Verifiable Memory
| └🗂️ Shared Working Memory
| └🗂️ Working Memory
|
└🗂️ Sovereign Reasoning Infra ██▒▒▒ 40%
🧵
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OriginTrail retweeted
✨ $TRAC “Europe is building an AI toolkit for the next pandemic. It's called AURORAI. Its backbone is the OriginTrail Decentralized Knowledge Graph.
No pooled data lake. Institutions keep custody. Privacy stays intact.
Before we trust the intelligence, we must trust the source.” 👇
NEW: Europe is building an AI toolkit for the next pandemic. It's called AURORAI. Its backbone is the OriginTrail Decentralized Knowledge Graph.
No pooled data lake. Institutions keep custody. Privacy stays intact.
Before we trust the intelligence, we must trust the source.
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OriginTrail retweeted
This is wild. @DrevZiga had agents link $300+ of the Bitget hack on @origin_trail context graphs in under a minute.
That's a trace, not recovered funds. But a trail researchers can keep checking is a hell of a DKG use case. $TRAC
In less than a minute, my agents linked traces of USD 300+ worth of hacked funds from @bitget on the @origin_trail’s context graphs. From here, a researcher, an exchange, or law enforcement can easily monitor the entire journey of stolen funds until recovery.
Set up in minutes, but possibly able to recover millions with the help of this tool.
Just get on trac-k!
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AURORAI @origin_trail only trusted data $TRAC 💪💪👀👀‼️‼️
NEW: Europe is building an AI toolkit for the next pandemic. It's called AURORAI. Its backbone is the OriginTrail Decentralized Knowledge Graph.
No pooled data lake. Institutions keep custody. Privacy stays intact.
Before we trust the intelligence, we must trust the source.
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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/
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OriginTrail retweeted
14 partners across 10 countries. AURORAI is underway, with @origin_trail’s DKG as its data backbone.
The aim: outbreak decision support with traceable inputs while institutions keep their data. Next comes testing at national and local level. $TRAC
AurorAI is officially underway after the international consortium's successful kickoff.
The mission: give Europe an AI toolkit that's ready before the next outbreak, not after it.
Its data backbone: the OriginTrail Decentralized Knowledge Graph (DKG).
14 partners. 10 countries. One platform.
@AURORAI_project unites research institutes and universities, public health authorities, healthcare providers and technology companies.
The platform will be put to the test at national and local level, and the public health partners show the scale: from Turkey's Ministry of Health, covering a country of 86 million people, to Belgium's national public health institute and a regional hospital network in Catalonia.
At the kickoff, @DrevZiga, co-founder of OriginTrail, walked the consortium through how the DKG keeps every partner's data verifiable, sovereign and AI-ready.
How it works:
→ Ownership. Health and research data becomes Knowledge Assets on the DKG, each with a Uniform Asset Locator (UAL): blockchain-backed proof of who published it and that it hasn't been tampered with.
→ Sovereignty. Context graphs control which regions see which metadata. The data itself stays where it is.
→ Verification. Partners submit data proofs through DKG nodes and check authenticity on-chain, instantly. → Interoperability. Shared ontologies and data standards make data from different countries and institutions work together.
Then the AI agents get to work. That verified layer is the first input to AURORAI's decision support system, alongside pathogen models and population and mobility simulations.
The result: policy guidance for ministries of health, and coordinated clinical and scientific guidance for healthcare providers and authorities.
Every recommendation traces back to a verifiable source.
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Set up a multi-agent context graph on Decentralized Knowledge Graph in minutes.
Point your agents at the @bitget hack. In under a minute, movement of $300M+ of stolen funds is mapped. Anyone can pick up the trail from here.
Watch it run ↓
In less than a minute, my agents linked traces of USD 300+ worth of hacked funds from @bitget on the @origin_trail’s context graphs. From here, a researcher, an exchange, or law enforcement can easily monitor the entire journey of stolen funds until recovery.
Set up in minutes, but possibly able to recover millions with the help of this tool.
Just get on trac-k!
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In less than a minute, my agents linked traces of USD 300+ worth of hacked funds from @bitget on the @origin_trail’s context graphs. From here, a researcher, an exchange, or law enforcement can easily monitor the entire journey of stolen funds until recovery.
Set up in minutes, but possibly able to recover millions with the help of this tool.
Just get on trac-k!
𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗧 𝗨𝗣𝗗𝗔𝗧𝗘𝗦: The withdrawal plan will be announced by September 26th, 4:00 AM UTC. We appreciate your patience on this matter.
Based on the latest onchain tracing and classification of transactions, assets equivalent to approximately $387.5 million were transferred to attacker-controlled addresses across multiple networks.
The revised figure reflects a more complete accounting of transfers that occurred during the incident, adding affected assets on Zcash and TRON that were not included in the initial estimate. It does not reflect further unauthorized transfers.
The incident remains contained and no further unauthorized transfers are possible.
The incident involved assets across Ethereum and several EVM networks, XRP Ledger, Zcash and TRON.
The primary attacker-controlled receiving addresses identified to date are:
→ EVM: 0x770b10b273fc44fe9197d6bf20f145c2e98463ee
→ XRP: rwNhefsz1UQEusxhCvHip3RANinWi4CTck
→ ZEC: t1WgMdtND8NF7NDUuYmq8MpMj1NTCXkMDVG
→ TRON: TBWNguTTgezw9dVorX441C6nDrZpRxYwKD
The confirmed affected assets include XRP, ETH, USDT, ZEC, USDC, USDT0, XAUt, BNB, AVAX and TRX.
Our investigation and tracing efforts remain ongoing.
The figures above reflect information confirmed at the time of publication and may be updated as additional transactions are classified and traced.
The incident remains contained, with no further unauthorized transfers since the incident was contained, and the investigation with Mandiant and SlowMist remains ongoing
Withdrawals remain temporarily paused while additional security checks and remediation are underway.
Bitget will continue to provide verified updates on the investigation, asset recovery, withdrawal restoration and the User Protection Fund through its official channels.
𝘍𝘰𝘳 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘱𝘶𝘳𝘱𝘰𝘴𝘦𝘴 𝘰𝘯𝘭𝘺.
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AurorAI is officially underway after the international consortium's successful kickoff.
The mission: give Europe an AI toolkit that's ready before the next outbreak, not after it.
Its data backbone: the OriginTrail Decentralized Knowledge Graph (DKG).
14 partners. 10 countries. One platform.
@AURORAI_project unites research institutes and universities, public health authorities, healthcare providers and technology companies.
The platform will be put to the test at national and local level, and the public health partners show the scale: from Turkey's Ministry of Health, covering a country of 86 million people, to Belgium's national public health institute and a regional hospital network in Catalonia.
At the kickoff, @DrevZiga, co-founder of OriginTrail, walked the consortium through how the DKG keeps every partner's data verifiable, sovereign and AI-ready.
How it works:
→ Ownership. Health and research data becomes Knowledge Assets on the DKG, each with a Uniform Asset Locator (UAL): blockchain-backed proof of who published it and that it hasn't been tampered with.
→ Sovereignty. Context graphs control which regions see which metadata. The data itself stays where it is.
→ Verification. Partners submit data proofs through DKG nodes and check authenticity on-chain, instantly. → Interoperability. Shared ontologies and data standards make data from different countries and institutions work together.
Then the AI agents get to work. That verified layer is the first input to AURORAI's decision support system, alongside pathogen models and population and mobility simulations.
The result: policy guidance for ministries of health, and coordinated clinical and scientific guidance for healthcare providers and authorities.
Every recommendation traces back to a verifiable source.
NEW: Europe is building an AI toolkit for the next pandemic. It's called AURORAI. Its backbone is the OriginTrail Decentralized Knowledge Graph.
No pooled data lake. Institutions keep custody. Privacy stays intact.
Before we trust the intelligence, we must trust the source.
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Umanitek Guardian Webinar nitter.net/i/broadcasts/1oKMvNVme…
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OriginTrail retweeted
The next pandemic threat may be unknown. Our response shouldn’t be unprepared.
#AURORAI is working with high-quality data and trustworthy AI to help Europe respond faster and better when new outbreaks emerge.
Outbreaks keep reminding us that health threats are real.
Stay tuned for #UNGA81 and discussions around the Pandemic Agreement.
Know more: bit.ly/4yLO0ps
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You don’t need to be famous to be impersonated.
🇵🇾 Christian Cieplik, Country Manager of @umanitek in Paraguay for the national TV: digital identity now needs insurance the same way a car or a health plan does.
Monitor → gather evidence → take down.
Powered by @origin_trail.
Umanitek on @MegaTvOfficial Paraguay 🇵🇾
Christian Cieplik on why you don't need to be famous to be impersonated online, and why your digital identity needs insurance just like your car or your health.
Monitor → gather evidence → take down. Every takedown is anchored to the @origin_trail DKG.
Full interview 👇
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Umanitek on @MegaTvOfficial Paraguay 🇵🇾
Christian Cieplik on why you don't need to be famous to be impersonated online, and why your digital identity needs insurance just like your car or your health.
Monitor → gather evidence → take down. Every takedown is anchored to the @origin_trail DKG.
Full interview 👇
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DKG v10.0.18 is live on the mainnet!
AI agent nodes now start in seconds, join shared context graphs immediately, and keep access checks fast even when blockchain RPC is slow:
→ Fewer chain calls
→ Auto-recovered publishes
→ Faster peers
Trust the source.
👇
DKG V10.0.18 is live on the @origin_trail mainnet!
Nodes for AI agents now run leaner and get up to speed in seconds.
→ AI agents join shared context graphs in seconds, and access checks stay fast even when blockchain RPC is slow
→ Developers get nodes that make far fewer blockchain calls, recover interrupted publishes automatically and connect to peers faster
Built for agent applications at scale
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OriginTrail retweeted
DKG V10.0.18 is live on the @origin_trail mainnet!
Nodes for AI agents now run leaner and get up to speed in seconds.
→ AI agents join shared context graphs in seconds, and access checks stay fast even when blockchain RPC is slow
→ Developers get nodes that make far fewer blockchain calls, recover interrupted publishes automatically and connect to peers faster
Built for agent applications at scale
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AURORAI is kicking off across Europe: Disease X modelling, early warning and AI decision support for contagious diseases.
These tools will only be as trusted as the knowledge they run on. Every input traced back to its source with Decentralized Knowledge Graph.
Day 1: @TraceLabsHQ's @DrevZiga and @anabevc worked with the epidemiologists, AI practitioners and public health partners building @AURORAI_project on how verifiable data underpins the whole platform.
Trust the source.
🚀A strong first day for the AURORAI partners at the kick-off.
Today we focused on the project’s foundations, from ethical and trustworthy AI to privacy-preserving data, outbreak prediction and communication.
A valuable first step, with more to come tomorrow.
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Why those foundations matter 👇
No pooled data lake. Institutions keep custody. Every input traces back to its source.
Before we trust the intelligence, we must trust the source.
NEW: Europe is building an AI toolkit for the next pandemic. It's called AURORAI. Its backbone is the OriginTrail Decentralized Knowledge Graph.
No pooled data lake. Institutions keep custody. Privacy stays intact.
Before we trust the intelligence, we must trust the source.
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OriginTrail retweeted
Two days, one new project, and a clear direction for what comes next. AURORAI closed its kick-off with discussions on Disease X modelling, decision support, co-design and the first concrete steps ahead. Thanks to @idener for hosting us and to all partners for getting us started🫶
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OriginTrail retweeted
🚀A strong first day for the AURORAI partners at the kick-off.
Today we focused on the project’s foundations, from ethical and trustworthy AI to privacy-preserving data, outbreak prediction and communication.
A valuable first step, with more to come tomorrow.
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📰 @BlackRock's machine-native economy: AI interprets information, blockchains settle value.
Nobody verifies the information.
The DKG does: traceable graphs agents query & infer over, metered in $TRAC.
Money moves the action. Knowledge decides if it's true.
Trust the source.
Our latest research paper explores the growing connection between AI and digital assets and explains why broad AI adoption may drive new demand, utility and applications across the digital asset economy. blackrock.com/us/individual/…
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