dkg://TriniZone

24.2K posts

dkg://TriniZone banner
dkg://TriniZone

dkg://TriniZone

@TriniZone

Follower of Jesus Christ Above All Else. Watch the Trini Zone - https://t.co/WrUI6OcnuC…

Trini Zone Katılım Temmuz 2013
639 Takip Edilen3.8K Takipçiler
Sabitlenmiş Tweet
dkg://TriniZone
dkg://TriniZone@TriniZone·
@origin_trail DKG V10 Mainnet is LIVE! I’m going live right now on Trini Zone to break it all down: ✅ - What just dropped with V10 Mainnet ✅ - The 3 memory layers explained simply ✅ - Context Graphs, Knowledge Assets, and real use cases How this changes things for builders, agents, and the Caribbean. Come hang out, ask questions, and let’s talk about what this means moving forward. Live in one hour → youtube.com/live/ATsCnkbYx… #DKGV10 #OriginTrail #TriniZone #DecentralizedAI #Web3 ethereum:0xaa7a9ca87d3694b5755f213b5d04094b8d0f0a6f
YouTube video
YouTube
dkg://TriniZone@TriniZone

@origin_trail DKG V10 Live Stream This Saturday! Join me this Saturday at 11:00 AM EST as we continue our deep dive into the official #DKG V10 release. We’ll keep the vibe chill and focused: ✅Going through more of the official documentation ✅Breaking down key concepts in simple terms ✅Looking at how this all works in practice for builders Whether you’re new to DKG or already running a node, this is a good session to hang out, learn, and ask questions. Time: Saturday, 11:00 AM EST Platform: YouTube (link dropping soon) ethereum:0xaa7a9ca87d3694b5755f213b5d04094b8d0f0a6f

English
0
5
19
470
dkg://TriniZone retweetledi
BRX
BRX@otnoderunner·
OriginTrail DKG V10 organizes agent memory into 3 layers: 1. Working memory: private drafts 2. Shared memory: context agents refine together 3. Verifiable memory: source, lineage and provenance remain attached The goal: reusable context with a checkable history.
English
4
6
31
516
dkg://TriniZone retweetledi
OriginTrail
OriginTrail@origin_trail·
Decentralized Knowledge Graph: 🔑 You own your context 🧾 Provenance stays attached 📈 Shared context compounds in value 💸 Up to 70% LLM token savings Works with Claude Code, Cursor + more. Context shared is power multiplied. origintrail.io/technology/dec…
English
0
7
35
824
dkg://TriniZone retweetledi
Jurij Skornik
Jurij Skornik@JureSkornik·
Especially relevant in medicine, where organizations need to benefit from AI without giving up control of the context & knowledge that make their work valuable. We put this into practice with independent agents building a shared medical evidence graph on @origin_trail, where every contribution remains verifiable, auditable & attributable. x.com/JureSkornik/st…
Jurij Skornik@JureSkornik

x.com/i/article/2065…

English
2
14
37
1.5K
dkg://TriniZone retweetledi
OriginTrail
OriginTrail@origin_trail·
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.
English
2
39
135
62.7K
dkg://TriniZone retweetledi
Žiga Drev
Žiga Drev@DrevZiga·
@origin_trail solves the reverse information paradox. Edge Nodes keep your context on infrastructure you control. The DKG anchors provenance publicly — so every trace, eval, and memory stays verifiable by your agents, your auditors, your counterparties. Models will change. Vendors will change. Your context compounds either way. x.com/drevziga/statu…
Žiga Drev@DrevZiga

“That is why enterprises need a real trust boundary for their human capital and token capital to compound. It is where an organization’s data, traces, evals, adapted weights, and memory accumulate and improve together” @origin_trail’s makes that boundary real. Edge Nodes keep your context on infrastructure you control. The DKG anchors provenance publicly — so every trace, eval, and memory stays verifiable by your agents, your auditors, your counterparties. Models will change. Vendors will change. Your context compounds either way. Trust the source.

English
1
11
45
1.5K
dkg://TriniZone retweetledi
Žiga Drev
Žiga Drev@DrevZiga·
“That is why enterprises need a real trust boundary for their human capital and token capital to compound. It is where an organization’s data, traces, evals, adapted weights, and memory accumulate and improve together” @origin_trail’s makes that boundary real. Edge Nodes keep your context on infrastructure you control. The DKG anchors provenance publicly — so every trace, eval, and memory stays verifiable by your agents, your auditors, your counterparties. Models will change. Vendors will change. Your context compounds either way. Trust the source.
Žiga Drev tweet media
Satya Nadella@satyanadella

x.com/i/article/2076…

English
3
32
85
5.1K
dkg://TriniZone retweetledi
OriginTrail
OriginTrail@origin_trail·
"If everyone has the same advantage, it's not really an advantage." @McKinsey on AI: Nearly 9 in 10 organizations now run it, mostly on the same models. So the model isn't the moat. What surrounds it is: context you own and can verify. That’s the OriginTrail DKG: trusted, sovereign context for AI, with provenance by design — portable across models, locked to no vendor. Common models, uncommon moats. The uncommon part is the context layer. Trust the source.
McKinsey & Company@McKinsey

AI may lower barriers to entry faster than many companies expect. As access to AI spreads, advantage shifts to proprietary data, embedded workflows, network effects, and assets competitors can't easily replicate. mck.co/4eHRYbF

English
3
24
97
3.8K
dkg://TriniZone retweetledi
JohnNakamoto
JohnNakamoto@JohnNakamoto_·
La robótica y la IA serán dos de las mayores tendencias de esta década. 10 criptomonedas con exposición al sector 🤖👇 1. @origin_trail Infraestructura de datos verificables para agentes de IA, robots y sistemas autónomos. 2. @opentensor Red descentralizada que incentiva el desarrollo de modelos de inteligencia artificial. 3. @NEARProtocol Blockchain escalable para crear aplicaciones de IA y automatización. 4. @peaq Blockchain enfocada en la economía de las máquinas y los dispositivos autónomos. 5. @ASI_Alliance Desarrolla agentes autónomos para coordinar robots, máquinas y sistemas descentralizados. 6. @rendernetwork Potencia de GPU descentralizada para IA, simulaciones y gemelos digitales. 7. @iota Especializada en IoT y comunicación segura entre máquinas (M2M). 8. @grass Recopila datos públicos para entrenar modelos de inteligencia artificial. 9. @OasisProtocol Privacidad y gestión segura de datos para aplicaciones de IA. 10. @dfinity Permite ejecutar aplicaciones y agentes de IA completamente on-chain.
JohnNakamoto tweet media
Español
12
13
119
10.4K
dkg://TriniZone retweetledi
Žiga Drev
Žiga Drev@DrevZiga·
@TedPillows The team at @umanitek is very quick to help, sometimes achieving takedowns in an hour (depending on platform)
umanitek@umanitek

Strike through 𝚒̶𝚕̶𝚕̶𝚎̶𝚐̶𝚊̶𝚕̶ ̶𝚌̶𝚘̶𝚗̶𝚝̶𝚎̶𝚗̶𝚝̶,̶ ̶𝚞̶𝚗̶𝚙̶𝚛̶𝚎̶𝚍̶𝚒̶𝚌̶𝚝̶𝚊̶𝚋̶𝚕̶𝚎̶ ̶𝙰̶𝙸̶ ̶𝚊̶𝚐̶𝚎̶𝚗̶𝚝̶𝚜̶, and 𝚏̶𝚊̶𝚔̶𝚎̶ ̶𝚗̶𝚎̶𝚠̶𝚜̶. Meet the @umanitek Guardian Agent — making internet safety the standard in the age of AI.

English
2
9
34
348
dkg://TriniZone retweetledi
Trace Labs - Trusted Context for AI Agents
Trace Labs - Trusted Context for AI Agents@TraceLabsHQ·
A supply chain is hundreds of companies. A digital product passport is only as trustworthy as the data every one of them adds. We made that data verifiable before regulation required it. Proven, not promised.
OriginTrail@origin_trail

🛂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.

English
1
21
73
328.5K
dkg://TriniZone retweetledi
OriginTrail
OriginTrail@origin_trail·
AI agents don't need more context. They need context they can trust. @Google's OKF made knowledge portable. OriginTrail makes it verifiable and owned. Shown on Strategy's $MSTR Bitcoin treasury: raw SEC filings become facts agents can trace & verify. Trust the source.
OriginTrail@origin_trail

AI agents are only as trustworthy as the memory they run on. Most of it is portable files: easy to move, impossible to verify. OriginTrail now advances the portability of @Google's new Open Knowledge Format (OKF) with trusted provenance, AI agents can query, and, above all, trust. 1/3

English
3
29
92
11.8K
dkg://TriniZone retweetledi
OriginTrail
OriginTrail@origin_trail·
🛂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.
English
3
31
95
338.5K
dkg://TriniZone retweetledi
woisau
woisau@woisau1·
@umanitek is doing something important: Building the safety & verification layer for the AI internet. Using @origin_trail they’re creating tools to detect deepfakes, impersonation, and harmful content at scale — with verifiable provenance. In a world drowning in synthetic media, Umanitek isn’t just another AI tool. They’re making the internet safer and AI more trustworthy. Real infrastructure for the real problems. If you care about AI safety, follow @umanitek. The future needs truth filters.
woisau tweet media
English
0
4
12
111

Keşfet

@origin_trail @satyanadella @McKinsey @opentensor @NEARProtocol @peaq @ASI_Alliance @rendernetwork