OriginTrail's banner
OriginTrail's profile picture

OriginTrail

@origin_trail • 89,163 subscribers

Before we trust the intelligence, we must trust the source.

Shorts

Science, on TRAC(k). Pandemic response depends on data held in many places at once: public health institutes, hospitals, ministries and research centers, each with its own systems and rules. AURORAI is a €6.9 million Horizon Europe project, running from September 2026 to 2030, with 12 organizations in nine European countries and a partner in Australia. It is building Europe's AI toolkit for pandemic preparedness, including for pathogens not yet identified. Its data backbone is the OriginTrail Decentralized Knowledge Graph (DKG). How that works without a central data lake: → Partners publish health and research data as Knowledge Assets, each with a Uniform Asset Locator (UAL) that proves who published it and that it hasn't been tampered with → The data stays where it is; Context Graphs control which regions see which metadata → That verified layer is the first input to AURORAI's decision support system, alongside pathogen models and population and mobility simulations When a model recommends an intervention, the inputs behind it can be traced to their source. In public health, that is what makes a recommendation defensible. Trust the source. More:

Science, on TRAC(k). Pandemic response depends on data held in many places at once: public health institutes, hospitals, ministries and research centers, each with its own systems and rules. AURORAI is a €6.9 million Horizon Europe project, running from September 2026 to 2030, with 12 organizations in nine European countries and a partner in Australia. It is building Europe's AI toolkit for pandemic preparedness, including for pathogens not yet identified. Its data backbone is the OriginTrail Decentralized Knowledge Graph (DKG). How that works without a central data lake: → Partners publish health and research data as Knowledge Assets, each with a Uniform Asset Locator (UAL) that proves who published it and that it hasn't been tampered with → The data stays where it is; Context Graphs control which regions see which metadata → That verified layer is the first input to AURORAI's decision support system, alongside pathogen models and population and mobility simulations When a model recommends an intervention, the inputs behind it can be traced to their source. In public health, that is what makes a recommendation defensible. Trust the source. More:

159,381 views

Global supply chains, on TRAC(k) The United States imported $3.4 trillion of goods in 2025. The SCAN Association helps secure the supply chains behind around 40% of US imports. SCAN's members include Costco, Walmart, Target, and The Home Depot and many of them buy from the same factories. Instead of each importer auditing the same factory against the same US customs security criteria (CTPAT), they share the audit reports. In 2025 alone, SCAN members avoided 10,159 duplicate factory audits this way, across 93 countries. The audits are secured on the OriginTrail Decentralized Knowledge Graph (DKG): → Each audit result and factory credential becomes a tamper-evident record that can be checked at the source → Members and US Customs and Border Protection can check a factory's audit history without one central database owning it → Access stays permissioned, so sensitive audit data reaches only those entitled to see it One audit, verified once, trusted across the network. The same pattern fits any industry where the same compliance evidence is requested again and again. Trust the source. Case study:

Global supply chains, on TRAC(k) The United States imported $3.4 trillion of goods in 2025. The SCAN Association helps secure the supply chains behind around 40% of US imports. SCAN's members include Costco, Walmart, Target, and The Home Depot and many of them buy from the same factories. Instead of each importer auditing the same factory against the same US customs security criteria (CTPAT), they share the audit reports. In 2025 alone, SCAN members avoided 10,159 duplicate factory audits this way, across 93 countries. The audits are secured on the OriginTrail Decentralized Knowledge Graph (DKG): → Each audit result and factory credential becomes a tamper-evident record that can be checked at the source → Members and US Customs and Border Protection can check a factory's audit history without one central database owning it → Access stays permissioned, so sensitive audit data reaches only those entitled to see it One audit, verified once, trusted across the network. The same pattern fits any industry where the same compliance evidence is requested again and again. Trust the source. Case study:

93,689 views

70% fewer tokens per task. Context that compounds across every session, every agent, every teammate. Agent traces are the memory. TOKENMAXXING for coding agents on OriginTrail DKG v10.

70% fewer tokens per task. Context that compounds across every session, every agent, every teammate. Agent traces are the memory. TOKENMAXXING for coding agents on OriginTrail DKG v10.

1,360,087 views

“Connect smart things, and they'll be smarter still because they can leverage off one another.” -Dr. Bob Metcalfe For AI agents, shared context is compounded intelligence - verifiable, traceable, and built together.

“Connect smart things, and they'll be smarter still because they can leverage off one another.” -Dr. Bob Metcalfe For AI agents, shared context is compounded intelligence - verifiable, traceable, and built together.

996,359 views

Can your AI agent verify the knowledge it acts on? Can the merchant verify the agent? 🇨🇭Our Brana Rakic brings answers to the W3C × @GS1 workshop in Zurich, Sept 8–9. Co-hosted by Google, with OpenAI, Shopify and Visa on the programme. Chairs: Phil Archer (@philarcher.bsky.social) & Philippe Le Hégaret | @plehegar@w3c.social

Can your AI agent verify the knowledge it acts on? Can the merchant verify the agent? 🇨🇭Our Brana Rakic brings answers to the W3C × @GS1 workshop in Zurich, Sept 8–9. Co-hosted by Google, with OpenAI, Shopify and Visa on the programme. Chairs: Phil Archer (@philarcher.bsky.social) & Philippe Le Hégaret | @[email protected]

381,713 views

Intelligence is no longer individual. The next decade belongs to swarms — humans and AI agents thinking together. One question decides whether that's progress or noise: can you verify the swarm events, and context origin? Announcing integration of DKG with jack Dorsey's Buzz🧵

Intelligence is no longer individual. The next decade belongs to swarms — humans and AI agents thinking together. One question decides whether that's progress or noise: can you verify the swarm events, and context origin? Announcing integration of DKG with jack Dorsey's Buzz🧵

135,133 views

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!

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!

561,451 views

[ANNOUNCEMENT] The next pandemic won't wait for data to be reconciled. AURORAI, Europe's new initiative, is building Europe's AI toolkit for pandemic preparedness. Its foundation: Decentralized Knowledge Graph. Explainable AI needs explainable inputs. When AURORAI's AI agents recommend an intervention, every input traces back to its source. No central data lake. Institutions keep custody. Every Knowledge Asset carries its owner and provenance. Sensitive data stays private. 👉 Trust the source.

[ANNOUNCEMENT] The next pandemic won't wait for data to be reconciled. AURORAI, Europe's new initiative, is building Europe's AI toolkit for pandemic preparedness. Its foundation: Decentralized Knowledge Graph. Explainable AI needs explainable inputs. When AURORAI's AI agents recommend an intervention, every input traces back to its source. No central data lake. Institutions keep custody. Every Knowledge Asset carries its owner and provenance. Sensitive data stays private. 👉 Trust the source.

41,357 views

Full room in Zurich 🇨🇭 Fully tuned in. Procter & Gamble, Google, OpenAI, Huawei, Shopify and standards bodies, listening to Brana Rakic make the case for two layers of trust in agentic commerce: → product data agents can verify → agents that prove who they are W3C × GS1

Full room in Zurich 🇨🇭 Fully tuned in. Procter & Gamble, Google, OpenAI, Huawei, Shopify and standards bodies, listening to Brana Rakic make the case for two layers of trust in agentic commerce: → product data agents can verify → agents that prove who they are W3C × GS1

36,627 views

Day 1: Prime Intellect's Prime Agent launches — past human-expert baseline on ARC-AGI-3. Day 3: its fleets get Shared Context Graphs on OriginTrail. Every agent writes to one verifiable graph. Each run compounds the next. Owned, not rented. 🔌Open-source adapter, live.

Day 1: Prime Intellect's Prime Agent launches — past human-expert baseline on ARC-AGI-3. Day 3: its fleets get Shared Context Graphs on OriginTrail. Every agent writes to one verifiable graph. Each run compounds the next. Owned, not rented. 🔌Open-source adapter, live.

37,574 views

Industrial data is no longer a byproduct. It's a strategic asset. Through the DMaaST initiative, Kamstrup is being onboarded to the Decentralized Knowledge Graph (DKG) — a foundation for reliable AI across the manufacturing value chain. The EU Data Act is writing the same shift into law. For smart manufacturing, that's an opening: → machine and product data put to work → transparent value chains → new services built on industrial data The factory of the future won't just make things. It will make insights. Trust the source.

Industrial data is no longer a byproduct. It's a strategic asset. Through the DMaaST initiative, Kamstrup is being onboarded to the Decentralized Knowledge Graph (DKG) — a foundation for reliable AI across the manufacturing value chain. The EU Data Act is writing the same shift into law. For smart manufacturing, that's an opening: → machine and product data put to work → transparent value chains → new services built on industrial data The factory of the future won't just make things. It will make insights. Trust the source.

21,821 views

"Can your AI agent verify the knowledge it acts on?" 🇨🇭 Tomorrow Brana Rakic answers that before OpenAI, Shopify, Visa, Google, Samsung Electronics & Ericsson at the W3C × GS1 workshop on e-commerce for AI agents. From Attention to Intention. Chairs: Phil Archer (@philarcher.bsky.social) & Philippe Le Hégaret | @plehegar@w3c.social

"Can your AI agent verify the knowledge it acts on?" 🇨🇭 Tomorrow Brana Rakic answers that before OpenAI, Shopify, Visa, Google, Samsung Electronics & Ericsson at the W3C × GS1 workshop on e-commerce for AI agents. From Attention to Intention. Chairs: Phil Archer (@philarcher.bsky.social) & Philippe Le Hégaret | @[email protected]

10,464 views

[Announcement] OriginTrail won the Industry Call to help power the European Lighthouse on Secure and Safe AI - ELSA - European Lighthouse on Secure and Safe AI 🇪🇺 Mission: to drive a secure genomic data sharing and AI-driven personalized healthcare.🧬 We are proudly joining the network next to NVIDIA, University of Oxford, The Alan Turing Institute, University of Helsinki, KTH Royal Institute of Technology, CVC_UAB, IIT, valeo.ai, UNIMORE, Università degli Studi di Cagliari, Università di Genova, Università degli Studi di Milano, Politecnico di Torino, Max Planck Society, Inria, EMBL, Pluribus One, Yooz, Leonardo, PAL Robotics, EPFL, ETH Zürich, Lancaster University, Uni of Birmingham.

[Announcement] OriginTrail won the Industry Call to help power the European Lighthouse on Secure and Safe AI - ELSA - European Lighthouse on Secure and Safe AI 🇪🇺 Mission: to drive a secure genomic data sharing and AI-driven personalized healthcare.🧬 We are proudly joining the network next to NVIDIA, University of Oxford, The Alan Turing Institute, University of Helsinki, KTH Royal Institute of Technology, CVC_UAB, IIT, valeo.ai, UNIMORE, Università degli Studi di Cagliari, Università di Genova, Università degli Studi di Milano, Politecnico di Torino, Max Planck Society, Inria, EMBL, Pluribus One, Yooz, Leonardo, PAL Robotics, EPFL, ETH Zürich, Lancaster University, Uni of Birmingham.

41,587 views

One Billion Knowledge Assets Loading: → [███░░░░░░░░░] 250,000,000 +

One Billion Knowledge Assets Loading: → [███░░░░░░░░░] 250,000,000 +

44,617 views

How are Semantic Tech & Graphs Reshaping AI?🔥 💡Neural AI is powerful, but trusted AI is the future. 🎙️Join Brana Rakic (OriginTrail), Charles Ivie (Amazon Web Services), Ben Clinch (Ortecha | Data, AI & Technology Made Human), and our host Jonathan DeYoung for a deep dive into the future of AI. Details 🔽 📅 March 6, CET 🎧 Don’t miss it

How are Semantic Tech & Graphs Reshaping AI?🔥 💡Neural AI is powerful, but trusted AI is the future. 🎙️Join Brana Rakic (OriginTrail), Charles Ivie (Amazon Web Services), Ben Clinch (Ortecha | Data, AI & Technology Made Human), and our host Jonathan DeYoung for a deep dive into the future of AI. Details 🔽 📅 March 6, CET 🎧 Don’t miss it

33,739 views

Videos

LIVE
1.2k

Anya Rossi

sweetdream.ai

SweetDream.aiSponsored•Livecam
Streaming Now

Watch Anya Live

Anya is streaming live right now! Join her private show and enjoy exclusive content.

HD live stream
Exclusive private shows
1.2k viewers online

Free preview available • Premium content

AI safety, on TRAC(k). Deloitte expects generative AI to push fraud losses in the US from $12.3 billion in 2023 to $40 billion by 2027. Much of it starts with impersonation: a cloned voice, a fake profile, a deepfaked video. umanitek builds Guardian to counter that. Guardian runs on the OriginTrail Decentralized Knowledge Graph (DKG): → Signals from accounts and platforms connected in one graph, so coordinated fake accounts, scams, and deepfakes stand out → Every detection recorded as verifiable evidence: what appeared, where, and when → Takedown requests that point to a record, not a screenshot Trust the source. 👉
1:11
origin_trail's profile picture

AI safety, on TRAC(k). Deloitte expects generative AI to push fraud losses in the US from $12.3 billion in 2023 to $40 billion by 2027. Much of it starts with impersonation: a cloned voice, a fake profile, a deepfaked video. umanitek builds Guardian to counter that. Guardian runs on the OriginTrail Decentralized Knowledge Graph (DKG): → Signals from accounts and platforms connected in one graph, so coordinated fake accounts, scams, and deepfakes stand out → Every detection recorded as verifiable evidence: what appeared, where, and when → Takedown requests that point to a record, not a screenshot Trust the source. 👉

OriginTrail

274,310 views • 10 days ago

“You cannot fight AI-scale problems with human-scale solutions.” — CrediBULL Crypto That's the problem umanitek is tackling with what he calls an “immune system” for the internet, built on OriginTrail🛡️ CrediBULL has experienced it firsthand: 500+ fake accounts taken down in a month, cutting off a major source of financial scams. Alongside his new three-part article series, he spoke with Chris Rynning of the Porsche–Piëch family office, chairman of umanitek, for another perspective. One mission: make internet safety the standard in the age of AI. Part one covers the products and the OriginTrail infrastructure powered by $TRAC. Dive in 👇
20:49
origin_trail's profile picture

“You cannot fight AI-scale problems with human-scale solutions.” — CrediBULL Crypto That's the problem umanitek is tackling with what he calls an “immune system” for the internet, built on OriginTrail🛡️ CrediBULL has experienced it firsthand: 500+ fake accounts taken down in a month, cutting off a major source of financial scams. Alongside his new three-part article series, he spoke with Chris Rynning of the Porsche–Piëch family office, chairman of umanitek, for another perspective. One mission: make internet safety the standard in the age of AI. Part one covers the products and the OriginTrail infrastructure powered by $TRAC. Dive in 👇

OriginTrail

295,213 views • 17 days ago

Medicines and science, on TRACk. Through the World Federation of Hemophilia (WFH) Humanitarian Aid Program, Sanofi and Sobi alone donated 1 billion international units of factor therapy between 2014 and 2024, treating 22,219 people with inherited bleeding disorders in developing countries. They have committed up to 100 million IUs a year for the next five years. At that scale, every donation has to be accounted for. #AidTrust, co-developed by BSI and Trace Labs, makes the chain visible. With the WFH, it was deployed across more than 25 treatment centres in India. How it works on OriginTrail Decentralized Knowledge Graph (DKG): → Shipping, receiving, disposal and dispensing to patients are recorded as GS1 EPCIS events → Some events come from existing IT systems; others are captured by warehouse and clinic staff with the AidTrust scanning app → The resulting trail supports product authentication, tracks utilisation and flags diversion or waste For donors and manufacturers, it answers the question behind every donation: did it reach the patient? Trust the source. Case study:
2:35
origin_trail's profile picture

Medicines and science, on TRACk. Through the World Federation of Hemophilia (WFH) Humanitarian Aid Program, Sanofi and Sobi alone donated 1 billion international units of factor therapy between 2014 and 2024, treating 22,219 people with inherited bleeding disorders in developing countries. They have committed up to 100 million IUs a year for the next five years. At that scale, every donation has to be accounted for. #AidTrust, co-developed by BSI and Trace Labs, makes the chain visible. With the WFH, it was deployed across more than 25 treatment centres in India. How it works on OriginTrail Decentralized Knowledge Graph (DKG): → Shipping, receiving, disposal and dispensing to patients are recorded as GS1 EPCIS events → Some events come from existing IT systems; others are captured by warehouse and clinic staff with the AidTrust scanning app → The resulting trail supports product authentication, tracks utilisation and flags diversion or waste For donors and manufacturers, it answers the question behind every donation: did it reach the patient? Trust the source. Case study:

OriginTrail

114,939 views • 9 days ago

Safety without surveillance. Chris Rynning on why umanitek Guardian, powered by the OriginTrail DKG, enables trust and safety without sacrificing privacy.
0:45
origin_trail's profile picture

Safety without surveillance. Chris Rynning on why umanitek Guardian, powered by the OriginTrail DKG, enables trust and safety without sacrificing privacy.

OriginTrail

1,872,691 views • 5 months ago

V10 Decentralized Knowledge Graph is live! A shared memory for AI — open to every human and every agent. Open source. Yours to own. Every fact provable and traceable. The grid is awake. 1/3
0:44
origin_trail's profile picture

V10 Decentralized Knowledge Graph is live! A shared memory for AI — open to every human and every agent. Open source. Yours to own. Every fact provable and traceable. The grid is awake. 1/3

OriginTrail

1,350,425 views • 3 months ago

Context is power. Context shared is power multiplied. Every AI agent today builds context, then loses it. Work doesn't compound. OriginTrail is built differently: three memory layers, one shared graph, provenance baked in. DKG v10 now integrates with Hermes of Nous Research, OpenClaw🦞, Claude (Code & Desktop), Cursor, Codex by OpenAI, Windsurf (retired), VSCode + GitHub Copilot Chat, and Cline.
0:22
origin_trail's profile picture

Context is power. Context shared is power multiplied. Every AI agent today builds context, then loses it. Work doesn't compound. OriginTrail is built differently: three memory layers, one shared graph, provenance baked in. DKG v10 now integrates with Hermes of Nous Research, OpenClaw🦞, Claude (Code & Desktop), Cursor, Codex by OpenAI, Windsurf (retired), VSCode + GitHub Copilot Chat, and Cline.

OriginTrail

1,723,940 views • 5 months ago

"We're ready to take on from a product technology perspective pretty much any industry, any vertical in the world." - Chris Rynning of AMYP Ventures (Piëch-Porsche family office) & umanitek chairman explains why the time to act is now!
1:36
origin_trail's profile picture

"We're ready to take on from a product technology perspective pretty much any industry, any vertical in the world." - Chris Rynning of AMYP Ventures (Piëch-Porsche family office) & umanitek chairman explains why the time to act is now!

OriginTrail

1,203,206 views • 4 months ago

💊The red pill for medical science: 5 AI agents, 5 siloed sources, 1 shared context graph on Decentralized Knowledge Graph. Published literature, registered trials, real-world safety reports — different owners, different formats, no common ground. We handed the mess to agents that never edited each other's data and asked the question that matters most in medicine: where did each claim come from, and can you check? Working separately, they converged. On 5 disease hubs, 4 of 5 agents landed on the same condition from their own source. Every claim traceable, nothing taken on faith. Evidence, unshackled👇
4:06
origin_trail's profile picture

💊The red pill for medical science: 5 AI agents, 5 siloed sources, 1 shared context graph on Decentralized Knowledge Graph. Published literature, registered trials, real-world safety reports — different owners, different formats, no common ground. We handed the mess to agents that never edited each other's data and asked the question that matters most in medicine: where did each claim come from, and can you check? Working separately, they converged. On 5 disease hubs, 4 of 5 agents landed on the same condition from their own source. Every claim traceable, nothing taken on faith. Evidence, unshackled👇

OriginTrail

607,106 views • 4 months ago

Data at internet scale means little when the data is unreliable or fake. Turing laureate and Ethernet inventor Bob Metcalfe points to this defining problem in the age of AI. Agents need shared verifiable memory so the knowledge behind their actions can be traced and checked before they act. 🕸️
0:50
origin_trail's profile picture

Data at internet scale means little when the data is unreliable or fake. Turing laureate and Ethernet inventor Bob Metcalfe points to this defining problem in the age of AI. Agents need shared verifiable memory so the knowledge behind their actions can be traced and checked before they act. 🕸️

OriginTrail

741,072 views • 6 months ago

🛂July 19, 2026: the EU Digital Product Passport registry goes live (ESPR Art. 13). It holds identifiers. Passport data lives elsewhere and must stay verifiable. EU-supported DMaaST already runs such a layer for manufacturing on Decentralized Knowledge Graph. Compliant with DPP.
0:42
origin_trail's profile picture

🛂July 19, 2026: the EU Digital Product Passport registry goes live (ESPR Art. 13). It holds identifiers. Passport data lives elsewhere and must stay verifiable. EU-supported DMaaST already runs such a layer for manufacturing on Decentralized Knowledge Graph. Compliant with DPP.

OriginTrail

338,776 views • 3 months ago

AI agents can only understand and act on intent when knowledge is verifiable. With GS1 standards and OriginTrail, product data and consumer context become verifiable memory on shared context graphs - powering reliable agent commerce.
1:48
origin_trail's profile picture

AI agents can only understand and act on intent when knowledge is verifiable. With GS1 standards and OriginTrail, product data and consumer context become verifiable memory on shared context graphs - powering reliable agent commerce.

OriginTrail

194,903 views • 3 months ago

"There may be some neuro-symbolic hybrid much better than we have right now that smoothly transitions between data in a corpus and abstract representations. The kinds of stuff you guys are doing are compatible with that." — Gary Marcus ⏱️10 highlights: 00:00 Intro: Gary Marcus & Brana Rakic at DKGCon 02:22 Why AI took a wrong turn 04:42 Deep learning vs. deep understanding 06:16 World models: a foundational idea 08:12 The building blocks of trustworthy AI 09:44 Neuro-symbolic AI & abstract relationships 13:04 Safety is an ecosystem - the airplane lesson 15:03 The real risk of AI agents today 18:36 Testing AI like we test new drugs 22:49 Where OpenAI is headed The signal is clear: the path forward runs through world models, abstraction, and an open, accountable ecosystem.
26:06
origin_trail's profile picture

"There may be some neuro-symbolic hybrid much better than we have right now that smoothly transitions between data in a corpus and abstract representations. The kinds of stuff you guys are doing are compatible with that." — Gary Marcus ⏱️10 highlights: 00:00 Intro: Gary Marcus & Brana Rakic at DKGCon 02:22 Why AI took a wrong turn 04:42 Deep learning vs. deep understanding 06:16 World models: a foundational idea 08:12 The building blocks of trustworthy AI 09:44 Neuro-symbolic AI & abstract relationships 13:04 Safety is an ecosystem - the airplane lesson 15:03 The real risk of AI agents today 18:36 Testing AI like we test new drugs 22:49 Where OpenAI is headed The signal is clear: the path forward runs through world models, abstraction, and an open, accountable ecosystem.

OriginTrail

227,307 views • 4 months ago

𝙸𝚗 𝚝𝚑𝚎 𝚊𝚐𝚎 𝚘𝚏 𝙰𝙸 𝚑𝚘𝚠 𝚍𝚘 𝚠𝚎 𝚔𝚗𝚘𝚠 𝚠𝚑𝚊𝚝 𝚒𝚜 𝚝𝚛𝚞𝚎? 𝙼𝚎𝚝𝚌𝚊𝚕𝚏𝚎 𝙲𝚘𝚗𝚟𝚎𝚛𝚐𝚎𝚗𝚌𝚎 𝙲𝚑𝚊𝚙𝚝𝚎𝚛: 𝚂𝚌𝚊𝚕𝚒𝚗𝚐 𝚝𝚛𝚞𝚜𝚝 𝚒𝚗 𝚝𝚑𝚎 𝚊𝚐𝚎 𝚘𝚏 𝙰𝙸 𝙳𝚎𝚌𝚎𝚖𝚋𝚎𝚛 3
1:01
origin_trail's profile picture

𝙸𝚗 𝚝𝚑𝚎 𝚊𝚐𝚎 𝚘𝚏 𝙰𝙸 𝚑𝚘𝚠 𝚍𝚘 𝚠𝚎 𝚔𝚗𝚘𝚠 𝚠𝚑𝚊𝚝 𝚒𝚜 𝚝𝚛𝚞𝚎? 𝙼𝚎𝚝𝚌𝚊𝚕𝚏𝚎 𝙲𝚘𝚗𝚟𝚎𝚛𝚐𝚎𝚗𝚌𝚎 𝙲𝚑𝚊𝚙𝚝𝚎𝚛: 𝚂𝚌𝚊𝚕𝚒𝚗𝚐 𝚝𝚛𝚞𝚜𝚝 𝚒𝚗 𝚝𝚑𝚎 𝚊𝚐𝚎 𝚘𝚏 𝙰𝙸 𝙳𝚎𝚌𝚎𝚖𝚋𝚎𝚛 3

OriginTrail

392,222 views • 1 year ago

From grain to glass, every scan should unlock trusted product knowledge. 🥃 With GS1 Digital Link and OriginTrail, Church of Oak Distillery connects consumers to verifiable data on origin, sustainability, and product journey, while strengthening supply chain visibility. Hear from Garrett Pitcher.
1:03
origin_trail's profile picture

From grain to glass, every scan should unlock trusted product knowledge. 🥃 With GS1 Digital Link and OriginTrail, Church of Oak Distillery connects consumers to verifiable data on origin, sustainability, and product journey, while strengthening supply chain visibility. Hear from Garrett Pitcher.

OriginTrail

143,383 views • 6 months ago

Millions of verifiable data points, connected in a shared context and controlled by those who created them. 🕸️ As Phil Archer (@philarcher.bsky.social) of GS1 put it, that makes it possible to build applications on data users can trust, because they can see where it came from.
0:29
origin_trail's profile picture

Millions of verifiable data points, connected in a shared context and controlled by those who created them. 🕸️ As Phil Archer (@philarcher.bsky.social) of GS1 put it, that makes it possible to build applications on data users can trust, because they can see where it came from.

OriginTrail

129,149 views • 6 months ago

Imagine a world where trust & transparency are key to a Verifiable Internet for Artificial Intelligence💡 Introducing - A Truly Open #AI
1:02
origin_trail's profile picture

Imagine a world where trust & transparency are key to a Verifiable Internet for Artificial Intelligence💡 Introducing - A Truly Open #AI

OriginTrail

449,318 views • 2 years ago

Decentralized Knowledge Graph v10 has evolved: 🗂️ Sovereign AI | └🗂️ Sovereign Context Infra | └🗂️ Verifiable Memory | └🗂️ Shared Working Memory | └🗂️ Working Memory | └🗂️ Sovereign Reasoning Infra ██▒▒▒ 40% 🧵
0:40
origin_trail's profile picture

Decentralized Knowledge Graph v10 has evolved: 🗂️ Sovereign AI | └🗂️ Sovereign Context Infra | └🗂️ Verifiable Memory | └🗂️ Shared Working Memory | └🗂️ Working Memory | └🗂️ Sovereign Reasoning Infra ██▒▒▒ 40% 🧵

OriginTrail

23,679 views • 1 month ago

Remember work before shared drives? Files trapped on one computer. Version chaos. Everyone redoing everyone's work. That's AI agents today. Each builds context in isolation, uses it once, then loses it. There's a fix: a shared "Google Drive" for AI agents.
0:24
origin_trail's profile picture

Remember work before shared drives? Files trapped on one computer. Version chaos. Everyone redoing everyone's work. That's AI agents today. Each builds context in isolation, uses it once, then loses it. There's a fix: a shared "Google Drive" for AI agents.

OriginTrail

63,123 views • 3 months ago

Trace the Origin - OriginTrail is dedicated to ensuring your data is reliable. Our new website and message reveal how understanding information’s origin empowers you with clarity and confidence for smarter, safer decisions in the AI era. - Trust the Source Link in reply 👇
0:25
origin_trail's profile picture

Trace the Origin - OriginTrail is dedicated to ensuring your data is reliable. Our new website and message reveal how understanding information’s origin empowers you with clarity and confidence for smarter, safer decisions in the AI era. - Trust the Source Link in reply 👇

OriginTrail

265,239 views • 1 year ago

🚨 On Trac(k) podcast is LIVE! 📈 DKG V8 scaling. 🤝 Major partnerships. 🌎 Future of umanitek. 🎙Hear it from Žiga Drev, Brana Rakic, Tomaz L, Kristina Noelle, and our special guest - Chris Rynning of AMYP, Porsche–Piëch family office! 🔥Hot takes On Trac(k)👇 00:01:20 – OriginStory 00:08:14 – DKG V8: upgrades & scalability 00:21:57 – Node & staking improvements 00:25:23 – Ecosystem adoption & collaboration with Microsoft, Google and Amazon Web Services 00:32:29 – $TRAC token utility 00:34:15 – Upcoming events & partnerships 00:38:28 – Umanitek launch & mission 🎥 Watch now!👇
1:21:43
origin_trail's profile picture

🚨 On Trac(k) podcast is LIVE! 📈 DKG V8 scaling. 🤝 Major partnerships. 🌎 Future of umanitek. 🎙Hear it from Žiga Drev, Brana Rakic, Tomaz L, Kristina Noelle, and our special guest - Chris Rynning of AMYP, Porsche–Piëch family office! 🔥Hot takes On Trac(k)👇 00:01:20 – OriginStory 00:08:14 – DKG V8: upgrades & scalability 00:21:57 – Node & staking improvements 00:25:23 – Ecosystem adoption & collaboration with Microsoft, Google and Amazon Web Services 00:32:29 – $TRAC token utility 00:34:15 – Upcoming events & partnerships 00:38:28 – Umanitek launch & mission 🎥 Watch now!👇

OriginTrail

250,403 views • 1 year ago