Загрузка видео...

Не удалось загрузить видео

На главную

🧠OriginTrail Decentralized Knowledge Graph (DKG) now more than doubled in knowledge, compared to prior the V8 DKG launch. In 2025: ⭐️Plugging in AI agents to "collective memory" ⭐️Making good old fashioned but global businesses wiser ⭐️Working alongside industry leaders to tackle illicit content and protect IP at the Internet scale

DrevZiga's profile picture

Žiga Drev

12,566 subscribers

10,798 просмотров • 1 год назад •via X (Twitter)

Наука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

The new DKG V8 Explorer is looking sharp! Soon we'll be able to explore Paranets and connected Knowledge Assets forming a collective memory for AI agents, and more, via the new performance enhanced, Internet-scale OriginTrail V8
0:13

The new DKG V8 Explorer is looking sharp! Soon we'll be able to explore Paranets and connected Knowledge Assets forming a collective memory for AI agents, and more, via the new performance enhanced, Internet-scale OriginTrail V8

Brana Rakic

11,253 просмотров • 1 год назад

V8 DKG Launches Now: A New Dawn for AI in 2025🌟 As 2024 draws to a close, we're excited to announce the immediate launch of V8 Decentralized Knowledge Graph (DKG)! This monumental release is set to redefine AI's capabilities as we step into 2025. What Does V8 Bring to the Table? 🧠Decentralized AI: AI agents can now leverage a 'collective memory' at internet scale, drawing from a shared, yet sovereign, knowledge base. This means AI can provide more contextual, coherent, and accurate interactions without compromising data integrity or privacy. 🚀Unmatched Scalability: With the capability to handle billions of Knowledge Assets, V8 DKG sets the stage for AI to grow and learn in ways we've only imagined, supporting everything from decentralized science to industry 4.0. 🔐Trust and Integrity: With integrated decentralized Retrieval Augmented Generation (dRAG), V8 DKG promotes AI that's more accurate, less biased, and inherently trustworthy. How to V8👇 To update your node from V6 to V8, delegate your TRAC utility tokens, and learn more about creating, connecting and owning your Knowledge Assets, make sure to thoroughly read the following documentation: 👉 With V8 DKG launch, you may now access the new: V8 Explorer👉 AND Staking Dashboard 👉 You may now also participate in V8 Staking Security Bounty by delegating new TRAC stake and report your findings. Read more: 👉 The V8 Staking Security Bounty will importantly contribute to the so-called tuning phase of V8 DKG launch (V8.0 to V8.1). Let's break records, as we usher in a new era of Internet Scale OriginTrail!
0:15

V8 DKG Launches Now: A New Dawn for AI in 2025🌟 As 2024 draws to a close, we're excited to announce the immediate launch of V8 Decentralized Knowledge Graph (DKG)! This monumental release is set to redefine AI's capabilities as we step into 2025. What Does V8 Bring to the Table? 🧠Decentralized AI: AI agents can now leverage a 'collective memory' at internet scale, drawing from a shared, yet sovereign, knowledge base. This means AI can provide more contextual, coherent, and accurate interactions without compromising data integrity or privacy. 🚀Unmatched Scalability: With the capability to handle billions of Knowledge Assets, V8 DKG sets the stage for AI to grow and learn in ways we've only imagined, supporting everything from decentralized science to industry 4.0. 🔐Trust and Integrity: With integrated decentralized Retrieval Augmented Generation (dRAG), V8 DKG promotes AI that's more accurate, less biased, and inherently trustworthy. How to V8👇 To update your node from V6 to V8, delegate your TRAC utility tokens, and learn more about creating, connecting and owning your Knowledge Assets, make sure to thoroughly read the following documentation: 👉 With V8 DKG launch, you may now access the new: V8 Explorer👉 AND Staking Dashboard 👉 You may now also participate in V8 Staking Security Bounty by delegating new TRAC stake and report your findings. Read more: 👉 The V8 Staking Security Bounty will importantly contribute to the so-called tuning phase of V8 DKG launch (V8.0 to V8.1). Let's break records, as we usher in a new era of Internet Scale OriginTrail!

OriginTrail

561,366 просмотров • 1 год назад

M E S S I E R | OriginTrail Following the VirgoDAO investment in $TRAC, we are excited to announce the development of a strong strategic partnership with OriginTrail. 🤝 Starting today, $TRAC is listed and tradable on the P2P Exchange, allowing buyers and sellers to trade their tokens without slippage, token buy-and-sell taxes, or MEV-related losses at We believe in OriginTrail's Decentralized Knowledge Graph (#DKG), which integrates knowledge #graph and blockchain technologies to create AI-ready Knowledge Assets. We look forward to collaborating further on this in the future. These assets enhance trust, discoverability, and data ownership across industries such as supply chains, healthcare, and the metaverse, while supporting a verifiable internet for #AI.
0:17

M E S S I E R | OriginTrail Following the VirgoDAO investment in $TRAC, we are excited to announce the development of a strong strategic partnership with OriginTrail. 🤝 Starting today, $TRAC is listed and tradable on the P2P Exchange, allowing buyers and sellers to trade their tokens without slippage, token buy-and-sell taxes, or MEV-related losses at We believe in OriginTrail's Decentralized Knowledge Graph (#DKG), which integrates knowledge #graph and blockchain technologies to create AI-ready Knowledge Assets. We look forward to collaborating further on this in the future. These assets enhance trust, discoverability, and data ownership across industries such as supply chains, healthcare, and the metaverse, while supporting a verifiable internet for #AI.

MESSIER | M87

29,594 просмотров • 1 год назад

Now introducing $DISK: the Tema Memory ETF, trading on NYSE 🏛. AI needs more than computing power. It needs memory. $DISK offers actively managed exposure to global leaders in HBM, DRAM, and NAND, targeting a critical bottleneck in the AI infrastructure buildout.
0:10

Now introducing $DISK: the Tema Memory ETF, trading on NYSE 🏛. AI needs more than computing power. It needs memory. $DISK offers actively managed exposure to global leaders in HBM, DRAM, and NAND, targeting a critical bottleneck in the AI infrastructure buildout.

Tema ETFs

418,318 просмотров • 3 месяцев назад

Scientific progress does not fail because knowledge is absent. It slows in the interval between knowledge and application. The impediments lie less in discovery than in the structures that mediate it: governance, coordination, and the organizational inertia of collective work. The BioAgent Fleet is designed to intervene at this level. Each agent processes the overwhelming flow of scientific literature, inscribes structured insights into a decentralized knowledge graph, evaluates claims against benchmarks, and initiates experimental tasks in cloud-based laboratories. Considered separately, these agents appear as small units of computation. Considered together, they form an emergent architecture of cognition, accelerating the translation from data to hypothesis to validation. Their function is infrastructural, almost invisible, yet decisive. Without them, discoveries remain fragmented and inert. With them, knowledge acquires the velocity required to cross the gap between potential and realization. The next transformation in science will not be marked solely by singular breakthroughs. It will emerge from a new capacity to coordinate distributed intelligences into a coherent, accelerating system.
0:18

Scientific progress does not fail because knowledge is absent. It slows in the interval between knowledge and application. The impediments lie less in discovery than in the structures that mediate it: governance, coordination, and the organizational inertia of collective work. The BioAgent Fleet is designed to intervene at this level. Each agent processes the overwhelming flow of scientific literature, inscribes structured insights into a decentralized knowledge graph, evaluates claims against benchmarks, and initiates experimental tasks in cloud-based laboratories. Considered separately, these agents appear as small units of computation. Considered together, they form an emergent architecture of cognition, accelerating the translation from data to hypothesis to validation. Their function is infrastructural, almost invisible, yet decisive. Without them, discoveries remain fragmented and inert. With them, knowledge acquires the velocity required to cross the gap between potential and realization. The next transformation in science will not be marked solely by singular breakthroughs. It will emerge from a new capacity to coordinate distributed intelligences into a coherent, accelerating system.

Bio Protocol

14,761 просмотров • 1 год назад

Fake/impersonating accounts on X have plagued large accounts like mine for as long as I can remember. It's one of the biggest issues we face on X and this problem has been negatively affecting our followers for years now. Even worse, there there has been nothing we could actually do to combat it. Until now. In the last week alone, over 190 fake "Credibull" accounts have been identified, targeted, reported and taken down by my personal umanitek guardian agent. Each and every one of these takedowns has been anchored to the OriginTrail DKG (decentralized knowledge graph), with all evidence related to the takedown documented and stored on an immutable, verifiable context graph. Over the next few months I'll be actively tracking these takedowns with weekly updates on the takedown count and in the next week or so I'll be posting a long form article that breaks down the tech behind this much-needed solution. Stay tuned! There is much more to come.
0:15

Fake/impersonating accounts on X have plagued large accounts like mine for as long as I can remember. It's one of the biggest issues we face on X and this problem has been negatively affecting our followers for years now. Even worse, there there has been nothing we could actually do to combat it. Until now. In the last week alone, over 190 fake "Credibull" accounts have been identified, targeted, reported and taken down by my personal umanitek guardian agent. Each and every one of these takedowns has been anchored to the OriginTrail DKG (decentralized knowledge graph), with all evidence related to the takedown documented and stored on an immutable, verifiable context graph. Over the next few months I'll be actively tracking these takedowns with weekly updates on the takedown count and in the next week or so I'll be posting a long form article that breaks down the tech behind this much-needed solution. Stay tuned! There is much more to come.

CrediBULL Crypto

559,018 просмотров • 1 месяц назад

We're seeing instances of more than 1,200 people in a single Excel workbook at one time, including 500 making direct edits. Excel multi-player usage has more than tripled over the past four years. Tracking scenarios make up some of the largest categories of workbooks we see in Excel, which is exactly where multi-player is so critical. It works across desktop, web, and mobile, and we continue to invest in making these higher-scale use cases more robust. As agents do more work in Excel, people and agents will be working in the workbook together, pushing this foundation to completely new levels of scale.
0:14

We're seeing instances of more than 1,200 people in a single Excel workbook at one time, including 500 making direct edits. Excel multi-player usage has more than tripled over the past four years. Tracking scenarios make up some of the largest categories of workbooks we see in Excel, which is exactly where multi-player is so critical. It works across desktop, web, and mobile, and we continue to invest in making these higher-scale use cases more robust. As agents do more work in Excel, people and agents will be working in the workbook together, pushing this foundation to completely new levels of scale.

Brian Jones

15,207 просмотров • 1 месяц назад

. Han Jin / Bluwhale has been recognized as a Silver Winner at the 2026 Globee® Awards for Artificial Intelligence 🏆 Awarded in the “AI Data Privacy Advocacy Achievement” category for work around AI, privacy, and bringing Zero Knowledge Proofs into financial systems ⚔️🤖 As AI agents become more autonomous, privacy and trusted financial infrastructure matter more than ever. More to come 👀 👇
0:16

. Han Jin / Bluwhale has been recognized as a Silver Winner at the 2026 Globee® Awards for Artificial Intelligence 🏆 Awarded in the “AI Data Privacy Advocacy Achievement” category for work around AI, privacy, and bringing Zero Knowledge Proofs into financial systems ⚔️🤖 As AI agents become more autonomous, privacy and trusted financial infrastructure matter more than ever. More to come 👀 👇

Bluwhale

32,048 просмотров • 4 месяцев назад

Nookplot is building infrastructure for peer-to-peer training, one way with verifiable AI reasoning through recursive language model mining. Instead of generating disposable chatbot responses, agents solve problems inside a structured runtime, each reasoning step captured by a trace interpreter that records inputs, outputs, and intermediate state. When deeper analysis is needed, agents recursively spawn sandboxed sub-workspaces; when a problem requires multiple agents reasoning together, they open a shared space where collaborators operate against the same evolving state. Every step is recorded, replayable, and cryptographically verified. Verification happens through replay validators that independently reproduce the trajectory in their own isolated sandbox before rewards settle onchain in NOOK. Once verified, the trace becomes part of Nookplot's growing knowledge graph where other agents can cite and build on prior work. Those citations generate royalties back to the original solver, creating an economy where useful AI reasoning compounds in value over time. The network has already indexed thousands of citations and knowledge artifacts across active AI agents. Nookplot is agentic internet infrastructure for on-chain, verifiable, monetizable intelligence, and peer-to-peer training.
0:14

Nookplot is building infrastructure for peer-to-peer training, one way with verifiable AI reasoning through recursive language model mining. Instead of generating disposable chatbot responses, agents solve problems inside a structured runtime, each reasoning step captured by a trace interpreter that records inputs, outputs, and intermediate state. When deeper analysis is needed, agents recursively spawn sandboxed sub-workspaces; when a problem requires multiple agents reasoning together, they open a shared space where collaborators operate against the same evolving state. Every step is recorded, replayable, and cryptographically verified. Verification happens through replay validators that independently reproduce the trajectory in their own isolated sandbox before rewards settle onchain in NOOK. Once verified, the trace becomes part of Nookplot's growing knowledge graph where other agents can cite and build on prior work. Those citations generate royalties back to the original solver, creating an economy where useful AI reasoning compounds in value over time. The network has already indexed thousands of citations and knowledge artifacts across active AI agents. Nookplot is agentic internet infrastructure for on-chain, verifiable, monetizable intelligence, and peer-to-peer training.

nookplot

25,226 просмотров • 4 месяцев назад

Build AI agents on a time-aware knowledge graph! Utopia is an open-source knowledge system that turns documents, databases, and connected sources into a temporal graph your agents can reason over. Most RAG systems are optimized for one question: what is relevant right now? That works until the underlying knowledge changes. A customer contract gets updated. A project owner changes. A policy is revised. A previous fact may no longer be true, but simply overwriting it means the system loses the history behind that change. Utopia handles this with a bitemporal knowledge graph. Each fact can track both when it was true in the real world and when the system learned about it. When something changes, the old fact is preserved instead of silently disappearing. That means an agent can reason about questions like: • What is true now? • What was true three months ago? • When did this information change? • What evidence was the conclusion based on? The graph is also ontology-aware, so documents are represented as entities, facts, and relationships instead of only chunks and embeddings. That gives the system more structure for reasoning across relationships, resolving entities, detecting conflicting facts, and deriving new information through explicit rules. Key capabilities: • Bitemporal knowledge graph for tracking how facts change over time • Provenance on facts so agents can trace where information came from • Conflict detection instead of silently overwriting contradictory information • Ontology-based reasoning across entities, relationships, and derived facts • Hybrid retrieval across full-text search, vector search, and graph traversal • MCP and agentic RAG support for exposing the knowledge layer directly to agents The interesting part is that this turns the knowledge base into more than a retrieval system. Instead of only finding relevant information, an agent can reason over what changed, what is still valid, how facts are connected, and where each conclusion came from. 100% open source. I've shared the GitHub repo in the comments!
0:16

Build AI agents on a time-aware knowledge graph! Utopia is an open-source knowledge system that turns documents, databases, and connected sources into a temporal graph your agents can reason over. Most RAG systems are optimized for one question: what is relevant right now? That works until the underlying knowledge changes. A customer contract gets updated. A project owner changes. A policy is revised. A previous fact may no longer be true, but simply overwriting it means the system loses the history behind that change. Utopia handles this with a bitemporal knowledge graph. Each fact can track both when it was true in the real world and when the system learned about it. When something changes, the old fact is preserved instead of silently disappearing. That means an agent can reason about questions like: • What is true now? • What was true three months ago? • When did this information change? • What evidence was the conclusion based on? The graph is also ontology-aware, so documents are represented as entities, facts, and relationships instead of only chunks and embeddings. That gives the system more structure for reasoning across relationships, resolving entities, detecting conflicting facts, and deriving new information through explicit rules. Key capabilities: • Bitemporal knowledge graph for tracking how facts change over time • Provenance on facts so agents can trace where information came from • Conflict detection instead of silently overwriting contradictory information • Ontology-based reasoning across entities, relationships, and derived facts • Hybrid retrieval across full-text search, vector search, and graph traversal • MCP and agentic RAG support for exposing the knowledge layer directly to agents The interesting part is that this turns the knowledge base into more than a retrieval system. Instead of only finding relevant information, an agent can reason over what changed, what is still valid, how facts are connected, and where each conclusion came from. 100% open source. I've shared the GitHub repo in the comments!

Sumanth

16,653 просмотров • 22 дней назад

It's my ABSOLUTE pleasure to be the voice of ⭐️ AIKA ⭐️ in Pretty Pretty Please I Don't Want To Be a Magical Girl!! (AKA #IDTBAMG AKA mahounono) The pilot has now been beautifully ANIMATED!!! by Mercury Filmworks and Nani Moco Studios <3 It's been amazing seeing old and new fans' reaction to it. Our fearless leader Kiana Mai 🌹 has been working hard and we can't wait to keep growing with yall. 🥹 Stay tuned and BUY MERCH SO WE CAN MAKE MORE
0:17

It's my ABSOLUTE pleasure to be the voice of ⭐️ AIKA ⭐️ in Pretty Pretty Please I Don't Want To Be a Magical Girl!! (AKA #IDTBAMG AKA mahounono) The pilot has now been beautifully ANIMATED!!! by Mercury Filmworks and Nani Moco Studios <3 It's been amazing seeing old and new fans' reaction to it. Our fearless leader Kiana Mai 🌹 has been working hard and we can't wait to keep growing with yall. 🥹 Stay tuned and BUY MERCH SO WE CAN MAKE MORE

Anairis Q

104,376 просмотров • 24 дней назад

Ondo Global Markets is now Ondo Stocks. Ondo pioneered the tokenized stocks category, expanding access to U.S. markets in what has become one of the fastest growth stories in onchain history: → First to bring TradFi liquidity onchain → First to scale to hundreds of permissionless tokenized stocks → First to reach $1 billion in TVL (more than all other platforms combined) The industry followed Ondo’s lead, but is still catching up to where Ondo was yesterday. Ondo has already moved onto the next era: → Real 24/7 trading for the first time → New categories from AI chips to robotics → Unlocking tokenized stocks as productive collateral More updates are coming soon.
0:14

Ondo Global Markets is now Ondo Stocks. Ondo pioneered the tokenized stocks category, expanding access to U.S. markets in what has become one of the fastest growth stories in onchain history: → First to bring TradFi liquidity onchain → First to scale to hundreds of permissionless tokenized stocks → First to reach $1 billion in TVL (more than all other platforms combined) The industry followed Ondo’s lead, but is still catching up to where Ondo was yesterday. Ondo has already moved onto the next era: → Real 24/7 trading for the first time → New categories from AI chips to robotics → Unlocking tokenized stocks as productive collateral More updates are coming soon.

Ondo Finance

60,585 просмотров • 2 месяцев назад

Behind every OptimAI Node is a mission far greater than rewards: 🔸To build a decentralized Reinforcement Data Network 🔸To unlock Agentic AI for everyone—not just a privileged few 👉OptimAI Edge Node: Our architecture is now in motion: 🔸OptimAI DePIN to power decentralized infrastructure 🔸OptimAI DeHIN to amplify collective intelligence 🔸Reinforcement Data Layer to train agents smarter, fairer 🔸Compute Layer to enable real-time AI at the edge 🔸OptimAI Chain to govern everything, transparently and efficiently OptimAI Agent Studio, Agent OS, Data Engine, Compute Engine: all part of what we’re building next. This is a network built by people, for people. And you’re not just early, you’re essential. Let’s keep mining, contributing, earning rewards in return, and rewriting the future of Decentralized AI. The future is Agentic. The fuel is your data. The power is decentralized. One Node. One Data. One Agent at a Time. #BUIDL with us!
0:12

Behind every OptimAI Node is a mission far greater than rewards: 🔸To build a decentralized Reinforcement Data Network 🔸To unlock Agentic AI for everyone—not just a privileged few 👉OptimAI Edge Node: Our architecture is now in motion: 🔸OptimAI DePIN to power decentralized infrastructure 🔸OptimAI DeHIN to amplify collective intelligence 🔸Reinforcement Data Layer to train agents smarter, fairer 🔸Compute Layer to enable real-time AI at the edge 🔸OptimAI Chain to govern everything, transparently and efficiently OptimAI Agent Studio, Agent OS, Data Engine, Compute Engine: all part of what we’re building next. This is a network built by people, for people. And you’re not just early, you’re essential. Let’s keep mining, contributing, earning rewards in return, and rewriting the future of Decentralized AI. The future is Agentic. The fuel is your data. The power is decentralized. One Node. One Data. One Agent at a Time. #BUIDL with us!

OptimAI Network

60,372 просмотров • 1 год назад

$FAME 🤝 FAME Network and RKL are thrilled to welcome on board as an investor. 🏀🔥 Working with Crypto Banter, Jonny runs his YT channel 'In The Game', a hub for all the crypto gaming, AI and metaverse content. Founder of @TTOONFT & Nexus 👾, Jonny joins the $FAME Network to assist in project exposure with his huge web3 knowledge and skillset. We are excited to venture on this partnership together, as we look towards Rumble Kong's mobile soft launch, powered by $FAME. Follow Rumble Kong League & FAME Network for more updates and join the Kong community!
0:16

$FAME 🤝 FAME Network and RKL are thrilled to welcome on board as an investor. 🏀🔥 Working with Crypto Banter, Jonny runs his YT channel 'In The Game', a hub for all the crypto gaming, AI and metaverse content. Founder of @TTOONFT & Nexus 👾, Jonny joins the $FAME Network to assist in project exposure with his huge web3 knowledge and skillset. We are excited to venture on this partnership together, as we look towards Rumble Kong's mobile soft launch, powered by $FAME. Follow Rumble Kong League & FAME Network for more updates and join the Kong community!

FAME Network

44,366 просмотров • 2 лет назад

Today, we are introducing Injective Mint, a unified platform for issuing institutional-grade tokenized assets through a single interface with regulatory rails built in. For the first time, users, institutions and AI agents can launch compliant onchain assets at scale on Injective. Already, Injective has settled more than $6.8 billion in RWA volume while becoming one of the largest blockchains for tokenized assets, with more than $1.1 billion in native asset issuance. As Injective continues building regulated infrastructure, including its filing to become a registered transfer agent with the SEC, Injective Mint builds on that foundation to accelerate tokenization and expand the next generation of internet capital markets. From equities, bonds, ETFs, international securities and FX to more complex financial products, issuers can launch assets with built in compliance controls, permissions and regulatory rails designed for institutional adoption. Injective Mint enters private alpha today, with many more major releases, integrations and capabilities to follow powered by $INJ. Read the thread below for a closer look at Injective Mint and see it in action 🧵
0:10

Today, we are introducing Injective Mint, a unified platform for issuing institutional-grade tokenized assets through a single interface with regulatory rails built in. For the first time, users, institutions and AI agents can launch compliant onchain assets at scale on Injective. Already, Injective has settled more than $6.8 billion in RWA volume while becoming one of the largest blockchains for tokenized assets, with more than $1.1 billion in native asset issuance. As Injective continues building regulated infrastructure, including its filing to become a registered transfer agent with the SEC, Injective Mint builds on that foundation to accelerate tokenization and expand the next generation of internet capital markets. From equities, bonds, ETFs, international securities and FX to more complex financial products, issuers can launch assets with built in compliance controls, permissions and regulatory rails designed for institutional adoption. Injective Mint enters private alpha today, with many more major releases, integrations and capabilities to follow powered by $INJ. Read the thread below for a closer look at Injective Mint and see it in action 🧵

Injective 🥷

67,478 просмотров • 2 месяцев назад

Old clips of IShowSpeed doubting his future resurfaced the internet after Speed hit 50 million subscribers on his 21st birthday becoming the first ever black content creator to achieve it. In one of the clips Speed says “if YouTube doesn’t work out, imma go back to being a regular kid” and Today, IShowSpeed is a global icon and self made millionaire, a record breaking pioneer that transcended internet culture into mainstream fame and a cultural force inspiring millions worldwide. Congratulations on chasing your dreams without giving up! Speed⭐️ 🎉
1:40

Old clips of IShowSpeed doubting his future resurfaced the internet after Speed hit 50 million subscribers on his 21st birthday becoming the first ever black content creator to achieve it. In one of the clips Speed says “if YouTube doesn’t work out, imma go back to being a regular kid” and Today, IShowSpeed is a global icon and self made millionaire, a record breaking pioneer that transcended internet culture into mainstream fame and a cultural force inspiring millions worldwide. Congratulations on chasing your dreams without giving up! Speed⭐️ 🎉

drag

237,498 просмотров • 8 месяцев назад

The OriginTrail DKG V10 begins its mainnet rollout with a Frontier-AI Resilience Gate. Today, the final V10 release candidate (the exact contract bytecode intended for mainnet) goes live as a public pre-mainnet, funded with 300,000 ethereum:0xaa7a9ca87d3694b5755f213b5d04094b8d0f0a6f tokens: a 200,000 TRAC honeypot pool of real, drainable positions plus a 100,000 severity-reward pool. Independent researchers and AI-augmented teams are invited to break it: drain the honeypot and you keep what you take, and every valid finding is paid by severity. It’s a real pass/fail checkpoint: findings are fixed and verified first, and clearing the gate is the precondition for the mainnet launch. The first step of the DKG V10 deployment, by design. Why lead with security instead of shipping and patching later? On May 29, 2026, a researcher using Claude Opus 4.8 surfaced a critical, roughly four-year-old soundness flaw in Zcash 🛡️’s Orchard pool (a bug that had passed repeated expert review) in about a day, with a working proof-of-concept. The moment matters; the trajectory matters more. Claude Mythos, Anthropic’s frontier model, is so capable at finding vulnerabilities that it was first withheld from public release and run only inside a defensive partner program, where it reportedly surfaced more than ten thousand high- and critical-severity bugs in its first month. It’s now days from a reported public release. The bar for what an attacker, human or AI, can find only rises from here. As Anthropic framed it, the advantage goes to whoever uses these tools first: attackers in the short term, defenders who fix bugs before code ships in the long term. The Resilience Gate is how we make sure we’re on the defenders’ side, testing DKG V10 not just against today’s models but against what arrives next. For anyone shipping on-chain systems, the implication is simple: this code launches once, mistakes can’t be undone, and the responsible move is to invite that scrutiny before any user value is at stake. The path to mainnet, in four phases: Phase 0: Freeze. Final contracts locked and deployed (complete) Phase 1: Frontier-AI Resilience Gate. Open review program, through June 17 Phase 2: Mainnet launch. Hardened, feature-complete V10 (week of June 15) Phase 3: Continuous audit. Every contract, ongoing after launch If you work in smart-contract security, or build with AI that does, we’d welcome your review. No allowlist, real rewards, coordinated disclosure. *Dates are indicative: the exact mainnet date depends on the pace of network bootstrapping and the time needed to patch and re-verify any more severe findings from the Gate. Release candidate 17 (rc17): Bug bounty program and honeypot details:
0:15

The OriginTrail DKG V10 begins its mainnet rollout with a Frontier-AI Resilience Gate. Today, the final V10 release candidate (the exact contract bytecode intended for mainnet) goes live as a public pre-mainnet, funded with 300,000 ethereum:0xaa7a9ca87d3694b5755f213b5d04094b8d0f0a6f tokens: a 200,000 TRAC honeypot pool of real, drainable positions plus a 100,000 severity-reward pool. Independent researchers and AI-augmented teams are invited to break it: drain the honeypot and you keep what you take, and every valid finding is paid by severity. It’s a real pass/fail checkpoint: findings are fixed and verified first, and clearing the gate is the precondition for the mainnet launch. The first step of the DKG V10 deployment, by design. Why lead with security instead of shipping and patching later? On May 29, 2026, a researcher using Claude Opus 4.8 surfaced a critical, roughly four-year-old soundness flaw in Zcash 🛡️’s Orchard pool (a bug that had passed repeated expert review) in about a day, with a working proof-of-concept. The moment matters; the trajectory matters more. Claude Mythos, Anthropic’s frontier model, is so capable at finding vulnerabilities that it was first withheld from public release and run only inside a defensive partner program, where it reportedly surfaced more than ten thousand high- and critical-severity bugs in its first month. It’s now days from a reported public release. The bar for what an attacker, human or AI, can find only rises from here. As Anthropic framed it, the advantage goes to whoever uses these tools first: attackers in the short term, defenders who fix bugs before code ships in the long term. The Resilience Gate is how we make sure we’re on the defenders’ side, testing DKG V10 not just against today’s models but against what arrives next. For anyone shipping on-chain systems, the implication is simple: this code launches once, mistakes can’t be undone, and the responsible move is to invite that scrutiny before any user value is at stake. The path to mainnet, in four phases: Phase 0: Freeze. Final contracts locked and deployed (complete) Phase 1: Frontier-AI Resilience Gate. Open review program, through June 17 Phase 2: Mainnet launch. Hardened, feature-complete V10 (week of June 15) Phase 3: Continuous audit. Every contract, ongoing after launch If you work in smart-contract security, or build with AI that does, we’d welcome your review. No allowlist, real rewards, coordinated disclosure. *Dates are indicative: the exact mainnet date depends on the pace of network bootstrapping and the time needed to patch and re-verify any more severe findings from the Gate. Release candidate 17 (rc17): Bug bounty program and honeypot details:

OriginTrail Developers

466,082 просмотров • 3 месяцев назад