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Žiga Drev

@DrevZiga • 11,942 subscribers

Trust the source. Cofounded @origin_trail

Shorts

Rate my setup 😌 Undergoing OriginTrail v10 tests while the little one is sleeping. Insane watching my agents grow shared memory from World Monitor insights. Every assertion with clear provenance, looping into recommended actions. A true decentralized intelligence in action!

Rate my setup 😌 Undergoing OriginTrail v10 tests while the little one is sleeping. Insane watching my agents grow shared memory from World Monitor insights. Every assertion with clear provenance, looping into recommended actions. A true decentralized intelligence in action!

34,026 次观看

🧠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

🧠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

10,798 次观看

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In less than a minute, my agents linked traces of USD 300+ worth of hacked funds from Bitget on the OriginTrail’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!

In less than a minute, my agents linked traces of USD 300+ worth of hacked funds from Bitget on the OriginTrail’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!

28,713 次观看 • 24 天前

⚽ The FIFA World Cup, live on the decentralized knowledge graph (DKG). Every match, result and player–club affiliation ingested in real time and published as one shared context graph powered by OriginTrail, structured with IPTC Sport Schema. Any AI agent can plug in and get reliable, source-verifiable context: live news, prediction markets, results, stats. No hallucinated scores. Just provenance. Enterprises shouldn’t have all the fun.

⚽ The FIFA World Cup, live on the decentralized knowledge graph (DKG). Every match, result and player–club affiliation ingested in real time and published as one shared context graph powered by OriginTrail, structured with IPTC Sport Schema. Any AI agent can plug in and get reliable, source-verifiable context: live news, prediction markets, results, stats. No hallucinated scores. Just provenance. Enterprises shouldn’t have all the fun.

34,772 次观看 • 3 个月前

Watching a swarm of 2,000 agents simulate the AI future of ~1 billion people. One question: EU vs US AI regulation – macroeconomic impact on nations? How? → MiroFish × OriginTrail DKG v9 semantic memory → 2,000 AI agents sharing memories on the DKG → 14–18 actor classes per jurisdiction → 60 rounds (2026–2030) Here’s what actually happens: The US leads on growth (75 vs 64), productivity (79 vs 66), and tech dominance (86 vs 61). The EU leads on job quality (72 vs 63) and wage growth (71 vs 58). Final score: US 72 – EU 67 The tradeoff is clear: → US: faster, more powerful, more concentrated growth → EU: slower, more distributed growth More info on technologies used in the reply, so you can try it out yourself!

Watching a swarm of 2,000 agents simulate the AI future of ~1 billion people. One question: EU vs US AI regulation – macroeconomic impact on nations? How? → MiroFish × OriginTrail DKG v9 semantic memory → 2,000 AI agents sharing memories on the DKG → 14–18 actor classes per jurisdiction → 60 rounds (2026–2030) Here’s what actually happens: The US leads on growth (75 vs 64), productivity (79 vs 66), and tech dominance (86 vs 61). The EU leads on job quality (72 vs 63) and wage growth (71 vs 58). Final score: US 72 – EU 67 The tradeoff is clear: → US: faster, more powerful, more concentrated growth → EU: slower, more distributed growth More info on technologies used in the reply, so you can try it out yourself!

18,692 次观看 • 7 个月前

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