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Building @ Origins Network: because agents deserve their own chain | ex-McKinsey
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ເບິ່ງການແປ
Agents and TrustSomething interesting happened… The Secure Technology Alliance just formed a coalition to figure out something that should’ve been solved before agents started spending money: how do you know an AI agent is acting on your actual instructions and not a hallucination US agentic commerce is projected to cross $300B by 2030. Over half of financial institutions are already running agentic workflows in production And yet 86% of consumers still want to manually verify before letting an agent execute anything financial That gap is the whole story right now Everyone’s optimizing for agent capability. Fewer people are solving for agent accountability. Mastercard and Visa are building authorization layers and audit logs because right now, if an agent makes a bad call, there’s no clean way to prove what happened, who approved it, or who’s on the hook It’s a bit like handing someone a company credit card with no statement, no receipts, and just vibes Three unresolved problems keep showing up everywhere: proving intent and consent, giving agents an identity payment rails can actually trust, and figuring out liability when something goes wrong. None of these are model problems. They’re infrastructure problems This is the exact gap Origins was built around. Proof of Computation gives you a verifiable record of what an agent actually did, not just what it claims it did. The three-tier identity model (User, Agent, Session) means every action traces back to a real chain of authorization, cryptographically, not contractually. No black box, no “trust me” Meanwhile DePIN is quietly solving the physical side of the same trust problem. Hivemapper crowd-sourced 25%+ of global road mapping through dashcams instead of corporate fleets. Geodnet is burning up to 70% of token issuance through actual enterprise GPS demand, not speculation. The infrastructure is decentralizing whether or not the trust layer keeps up Compute, identity, and payments are all racing toward autonomy at different speeds. The systems that win won’t be the fastest agents. They’ll be the ones that can prove, at any point, exactly what happened and why So here’s the real question nobody in that coalition seems to be asking out loud: are we building trust infrastructure for agents, or just faster ways to lose money to them? This is a normal behavior no body care about risk in finance before 2008 🤷‍♂️ but after the crisis permanently altered how safe assets are valued and how risk is managed across the globe Hopefully we’re smarter and we won’t wait for something like that to happen to the agentic economy. Regardless, Origins is and will be here ;)

Agents and Trust

Something interesting happened… The Secure Technology Alliance just formed a coalition to figure out something that should’ve been solved before agents started spending money: how do you know an AI agent is acting on your actual instructions and not a hallucination
US agentic commerce is projected to cross $300B by 2030. Over half of financial institutions are already running agentic workflows in production
And yet 86% of consumers still want to manually verify before letting an agent execute anything financial
That gap is the whole story right now
Everyone’s optimizing for agent capability. Fewer people are solving for agent accountability. Mastercard and Visa are building authorization layers and audit logs because right now, if an agent makes a bad call, there’s no clean way to prove what happened, who approved it, or who’s on the hook
It’s a bit like handing someone a company credit card with no statement, no receipts, and just vibes
Three unresolved problems keep showing up everywhere: proving intent and consent, giving agents an identity payment rails can actually trust, and figuring out liability when something goes wrong. None of these are model problems. They’re infrastructure problems
This is the exact gap Origins was built around. Proof of Computation gives you a verifiable record of what an agent actually did, not just what it claims it did. The three-tier identity model (User, Agent, Session) means every action traces back to a real chain of authorization, cryptographically, not contractually. No black box, no “trust me”
Meanwhile DePIN is quietly solving the physical side of the same trust problem. Hivemapper crowd-sourced 25%+ of global road mapping through dashcams instead of corporate fleets. Geodnet is burning up to 70% of token issuance through actual enterprise GPS demand, not speculation. The infrastructure is decentralizing whether or not the trust layer keeps up
Compute, identity, and payments are all racing toward autonomy at different speeds. The systems that win won’t be the fastest agents. They’ll be the ones that can prove, at any point, exactly what happened and why
So here’s the real question nobody in that coalition seems to be asking out loud: are we building trust infrastructure for agents, or just faster ways to lose money to them?
This is a normal behavior no body care about risk in finance before 2008 🤷‍♂️ but after the crisis permanently altered how safe assets are valued and how risk is managed across the globe
Hopefully we’re smarter and we won’t wait for something like that to happen to the agentic economy. Regardless, Origins is and will be here ;)
ເບິ່ງການແປ
GM! Tokyo, WebX 2026 — Asia’s biggest Web3 stage, 15,000+ people, and enough panels on stablecoins and tokenization to make your coffee go cold twice Guess what? 👀 We’ll be there. Not to hand out stickers, but because every conversation about “the future of digital finance”… eventually runs into the same wall: who verifies the work when the worker is an AI agent That’s the gap Origins Network was built to close. Verifiable compute, agent identity, execution rails, the plumbing nobody photographs but everybody needs If you’re in Tokyo, come find us. If you’re not, follow along, we’ll bring the highlights back See you in 🇯🇵
GM!

Tokyo, WebX 2026 — Asia’s biggest Web3 stage, 15,000+ people, and enough panels on stablecoins and tokenization to make your coffee go cold twice

Guess what? 👀

We’ll be there. Not to hand out stickers, but because every conversation about “the future of digital finance”…

eventually runs into the same wall: who verifies the work when the worker is an AI agent

That’s the gap Origins Network was built to close. Verifiable compute, agent identity, execution rails, the plumbing nobody photographs but everybody needs

If you’re in Tokyo, come find us. If you’re not, follow along, we’ll bring the highlights back

See you in 🇯🇵
ເບິ່ງການແປ
As you all know… SpaceX just gave us a live case study in what happens when “tokenize it” is treated as the finish line instead of the starting point Kraken’s xStocks let retail investors in 110+ countries put in orders for tokenized SpaceX shares ahead of the IPO. No private banker, no velvet rope. Genuinely cool Then allocation day came. Demand cleared a billion dollars. Supply didn’t. Binance, Bybit, and Bitget had to cancel their offerings entirely and refund everyone. Kraken users fared better, but still got a fraction of what they ordered Crypto didn’t fail here. Allocation did, and crypto just inherited it Here’s the part that actually matters: tokenizing an asset and proving you own the underlying asset are two completely different promises Right now, almost everyone in this space asks you to trust the exchange. “We have the shares” is doing a lot of heavy lifting on faith alone This is exactly the gap Proof of Computation exists to close. Instead of an exchange or issuer simply asserting custody, the verification itself happens on-chain, cryptographically, auditable by anyone No “trust us.” Just math Pair that with native agent identity, and you get something more interesting than easier IPO access: AI agents that can actually manage tokenized exposure, rebalance positions, and execute trades, with every action provably tied to what they were permitted to do and what they actually did. Accountable by design, not by reputation The on-chain RWA market already grew from ~$8B to $30B+ in two years. The forecasts for where this goes by 2030 range from $2T to $30T depending who you ask Big spread, same direction Phase one is what we just watched: more people let in near the deal, some growing pains Phase two is where it gets real ownership that’s programmable, verifiable, and safe enough for autonomous agents to manage without anyone babysitting a dashboard That’s the layer most of the industry still treats as an afterthought We don’t Tune in below 👇 https://x.com/digifinex/status/2070462151819690426?s=46
As you all know… SpaceX just gave us a live case study in what happens when “tokenize it” is treated as the finish line instead of the starting point

Kraken’s xStocks let retail investors in 110+ countries put in orders for tokenized SpaceX shares ahead of the IPO. No private banker, no velvet rope. Genuinely cool

Then allocation day came. Demand cleared a billion dollars. Supply didn’t. Binance, Bybit, and Bitget had to cancel their offerings entirely and refund everyone. Kraken users fared better, but still got a fraction of what they ordered

Crypto didn’t fail here. Allocation did, and crypto just inherited it

Here’s the part that actually matters: tokenizing an asset and proving you own the underlying asset are two completely different promises

Right now, almost everyone in this space asks you to trust the exchange. “We have the shares” is doing a lot of heavy lifting on faith alone

This is exactly the gap Proof of Computation exists to close. Instead of an exchange or issuer simply asserting custody, the verification itself happens on-chain, cryptographically, auditable by anyone

No “trust us.”

Just math

Pair that with native agent identity, and you get something more interesting than easier IPO access: AI agents that can actually manage tokenized exposure, rebalance positions, and execute trades, with every action provably tied to what they were permitted to do and what they actually did. Accountable by design, not by reputation

The on-chain RWA market already grew from ~$8B to $30B+ in two years. The forecasts for where this goes by 2030 range from $2T to $30T depending who you ask

Big spread, same direction

Phase one is what we just watched: more people let in near the deal, some growing pains

Phase two is where it gets real ownership that’s programmable, verifiable, and safe enough for autonomous agents to manage without anyone babysitting a dashboard

That’s the layer most of the industry still treats as an afterthought

We don’t

Tune in below 👇

https://x.com/digifinex/status/2070462151819690426?s=46
SPCXUS-0,59%
ເບິ່ງການແປ
Nice weather in NYC today ☀️ Been heads down building with the team every night, plus the usual chaos of everything else But managed to touch grass for a few minutes today haha Small wins
Nice weather in NYC today ☀️

Been heads down building with the team every night, plus the usual chaos of everything else

But managed to touch grass for a few minutes today haha

Small wins
ເບິ່ງການແປ
New research just put AI agents through a 90-day simulated economy test The results? Agents drift, idle, and hallucinate tool calls when nobody’s watching closely enough. One benchmark found top agents passing only a minority of the hard tasks. Another found misinformation can spread between agents debating each other like gossip at a dinner party Translation: most agents can talk a good game. Verifying what they actually did is the unsolved part That’s not a benchmark problem. It’s an infrastructure problem This is the gap Origins is built for… identity, provability Benchmarks will keep getting harder. The question is whether your agents can prove they passed And More importantly wether the infrastructure to run then at scale, while keeping your ownership yours is there Think about that last part… you’ll connect the dots
New research just put AI agents through a 90-day simulated economy test

The results? Agents drift, idle, and hallucinate tool calls when nobody’s watching closely enough. One benchmark found top agents passing only a minority of the hard tasks. Another found misinformation can spread between agents debating each other like gossip at a dinner party

Translation: most agents can talk a good game. Verifying what they actually did is the unsolved part

That’s not a benchmark problem. It’s an infrastructure problem

This is the gap Origins is built for… identity, provability

Benchmarks will keep getting harder. The question is whether your agents can prove they passed

And

More importantly wether the infrastructure to run then at scale, while keeping your ownership yours is there

Think about that last part… you’ll connect the dots
ເບິ່ງການແປ
Visa just announced it’s embedding payment rails into OpenAI’s agent flows … the world’s largest payment network just admitted AI agents are going to need wallets They’re not wrong. But strapping spending limits and merchant whitelists onto an AI agent isn’t infrastructure — it’s legacy finance with a chatbot on top Meanwhile, Anthropic is quietly shipping production features for multi-agent deployments. Researchers are publishing papers on how to cut token costs and latency across agent swarms. The architecture of autonomous AI is being written in real time Origins Network has been building for exactly this moment. Native on-chain agent identity. Verifiable execution. Transaction rails designed from day one for autonomous agents — not retrofitted from a 1970s payments network The real race isn’t who builds the smartest agent. It’s who owns the infrastructure those agents run on We know where we stand. Follow along if you do too
Visa just announced it’s embedding payment rails into OpenAI’s agent flows

… the world’s largest payment network just admitted AI agents are going to need wallets

They’re not wrong. But strapping spending limits and merchant whitelists onto an AI agent isn’t infrastructure — it’s legacy finance with a chatbot on top

Meanwhile, Anthropic is quietly shipping production features for multi-agent deployments. Researchers are publishing papers on how to cut token costs and latency across agent swarms. The architecture of autonomous AI is being written in real time

Origins Network has been building for exactly this moment. Native on-chain agent identity. Verifiable execution. Transaction rails designed from day one for autonomous agents — not retrofitted from a 1970s payments network

The real race isn’t who builds the smartest agent. It’s who owns the infrastructure those agents run on

We know where we stand. Follow along if you do too
ເບິ່ງການແປ
On Friday, The US just pulled the plug on Anthropic’s flagship models Not a hack. Not a data breach. Just one phone call from their biggest investor to the wrong government official at midnight That’s what centralized AI looks like in practice. One decision, zero access, worldwide This is exactly what Origins Network is built against. When AI runs on decentralized, verifiable compute — with agent identity and PoC — no single entity flips the switch. Not a regulator. Not a VC. Not a CEO with a phone and a grudge The real conversation in AI right now isn’t about capability. It’s about who controls the infrastructure underneath it We’re building the answer to that question. And while everyone else watches the shutdown, Origins is shipping Follow if you want to see what sovereign AI infrastructure actually looks like
On Friday, The US just pulled the plug on Anthropic’s flagship models

Not a hack. Not a data breach. Just one phone call from their biggest investor to the wrong government official at midnight

That’s what centralized AI looks like in practice. One decision, zero access, worldwide

This is exactly what Origins Network is built against. When AI runs on decentralized, verifiable compute — with agent identity and PoC — no single entity flips the switch. Not a regulator. Not a VC. Not a CEO with a phone and a grudge

The real conversation in AI right now isn’t about capability. It’s about who controls the infrastructure underneath it

We’re building the answer to that question. And while everyone else watches the shutdown, Origins is shipping

Follow if you want to see what sovereign AI infrastructure actually looks like
ເບິ່ງການແປ
HK always has a special place in my heart The mix of traditional, historic and modern is palpable anywhere in the city… which makes kind of a maze! And I love it! #hk
HK always has a special place in my heart

The mix of traditional, historic and modern is palpable anywhere in the city… which makes kind of a maze!

And I love it!

#hk
ເບິ່ງການແປ
Jensen Huang’s Seoul visit wasn’t a PR stunt NVIDIA is locking in HBM4 supply chains and co-building physical AI with SK, LG, Hyundai, and Naver. Korea just went from chip supplier to full AI infrastructure launchpad That’s the signal. Most people missed it AI infra is the next major battleground. Origins is already positioned there #ai
Jensen Huang’s Seoul visit wasn’t a PR stunt

NVIDIA is locking in HBM4 supply chains and co-building physical AI with SK, LG, Hyundai, and Naver. Korea just went from chip supplier to full AI infrastructure launchpad

That’s the signal. Most people missed it

AI infra is the next major battleground. Origins is already positioned there

#ai
ເບິ່ງການແປ
X Spaces was just the warmup This June: Macau Origins’ first offline summit. Full core team, Asia roadmap drop, AI founders panel, live AMA + OKX merch To our early Chinese community: you trusted us first. This one’s for you See you soon 🇲🇴🇨🇳
X Spaces was just the warmup

This June: Macau

Origins’ first offline summit. Full core team, Asia roadmap drop, AI founders panel, live AMA + OKX merch

To our early Chinese community: you trusted us first. This one’s for you

See you soon 🇲🇴🇨🇳
ເບິ່ງການແປ
Took a walk through one of HK’s parks today. Beautiful. Surprisingly peaceful (esp. cause it was the middle of central) My brain? Completely ignoring all of that Kept circling back to one thing: how AI agents are going to reshape everything, EVERYTHING ( how we work, move, and build the infrastructure underneath modern life) Most people focus on the agent. Few think about what’s running it Eyes open. The future doesn’t announce itself
Took a walk through one of HK’s parks today. Beautiful. Surprisingly peaceful (esp. cause it was the middle of central)

My brain? Completely ignoring all of that

Kept circling back to one thing: how AI agents are going to reshape everything, EVERYTHING ( how we work, move, and build the infrastructure underneath modern life)

Most people focus on the agent. Few think about what’s running it

Eyes open. The future doesn’t announce itself
ເບິ່ງການແປ
Yesterday Open AI said: "Building apps has never been easier" (🔗https://x.com/OpenAI/status/2061845949170045346?s=20) But the compute underneath? Still centralized Agents are getting smarter. The infrastructure behind them is staying the same That's the question nobody's asking yet: if agents are going to run the digital economy, who should own the rails they run on? At Origins, the answer is the network itself — decentralized compute, verifiable by design, owned by no single entity The agent economy needs infrastructure that matches its ambitions Origins is that infrastructure 🌐https://www.origins.network/
Yesterday Open AI said: "Building apps has never been easier" (🔗https://x.com/OpenAI/status/2061845949170045346?s=20)

But the compute underneath? Still centralized

Agents are getting smarter. The infrastructure behind them is staying the same

That's the question nobody's asking yet: if agents are going to run the digital economy, who should own the rails they run on?

At Origins, the answer is the network itself — decentralized compute, verifiable by design, owned by no single entity

The agent economy needs infrastructure that matches its ambitions

Origins is that infrastructure
🌐https://www.origins.network/
GM Itthisè se mantene qualcosa ke mi bin pe monitor: ol enterprise agents stap lusim dis sandbox - AWS soim olsem Bedrock AgentCore i ranim 20+ agent workflows insait long ol real sales tim — i gat human approval gates, isolated execution, na observable traces - UiPath i stap shipim ol on-prem opsen long ol regulated industries we i no laikim agent data bilong olgeta i stap klostu long wan public cloud - Automation Anywhere i relansim olgeta kategori olsem “Agentic Process Automation” wantaim Cisco, NVIDIA, na OpenAI tugeta - Microsoft i konsolidet olgeta anunder Agent 365 wantaim wan nupela admin control plane Wanpela tok one thread i kamap long olgeta: identity na governance. Hu i autorizim dispela agent? Em inap lukautim wanem? Hu i auditing long ol dispela result? Dispela no gatap product gap Dispela i gatap infrastructure gap Long ol dekapade, sofwe i wok long tingting olsem ol manmeri. AI i senisim dispela assumption. Wankain olsem agents i stat mekim disisen, planim na koordinet ol rekursos, na go insait long digital economies yet yet, save nating yet i no inap Em tu i mas i executable, verifiable, na trusted Na dispela em samting Origins Network i wok long solve. No olsem wan retrofit long centralized systems, tasol olsem nativ lain i stap daun long olgeta. Wan wan agent i kisim em yet cryptographic identity, hierarchical key derivation, na programmable spending limits. Nogat moa givim agent long wan bikpela API key na wetim stret samting. Nogat moa manual loops na bagarapim olgeta as bilong autonomy Ol enterprise i wok long AWS na Microsoft nau i painim dispela long planti hevi taim (oltaim i stap layering trust antap long systems we em i no bin makim long ai agents long stat) Mipela i wokim ol rails so agents inap mekim aksen, mekim na soim ol result, na halivim insait long ol on-chain economies long as bilong en Origins i mekim intelligence i executable Bihainim mipela sapos yu laik lukim olsem dispela hap i kamap Na lukim wanem mipela i wokim Bikos agents i mas i gat wan yet chain. Mipela wokim em 🔗 https://www.origins.network/ #ai #agents
GM

Itthisè se mantene qualcosa ke mi bin pe monitor: ol enterprise agents stap lusim dis sandbox

- AWS soim olsem Bedrock AgentCore i ranim 20+ agent workflows insait long ol real sales tim — i gat human approval gates, isolated execution, na observable traces

- UiPath i stap shipim ol on-prem opsen long ol regulated industries we i no laikim agent data bilong olgeta i stap klostu long wan public cloud

- Automation Anywhere i relansim olgeta kategori olsem “Agentic Process Automation” wantaim Cisco, NVIDIA, na OpenAI tugeta

- Microsoft i konsolidet olgeta anunder Agent 365 wantaim wan nupela admin control plane

Wanpela tok one thread i kamap long olgeta: identity na governance. Hu i autorizim dispela agent? Em inap lukautim wanem? Hu i auditing long ol dispela result?

Dispela no gatap product gap
Dispela i gatap infrastructure gap

Long ol dekapade, sofwe i wok long tingting olsem ol manmeri. AI i senisim dispela assumption. Wankain olsem agents i stat mekim disisen, planim na koordinet ol rekursos, na go insait long digital economies yet yet, save nating yet i no inap

Em tu i mas i executable, verifiable, na trusted

Na dispela em samting Origins Network i wok long solve. No olsem wan retrofit long centralized systems, tasol olsem nativ lain i stap daun long olgeta. Wan wan agent i kisim em yet cryptographic identity, hierarchical key derivation, na programmable spending limits. Nogat moa givim agent long wan bikpela API key na wetim stret samting. Nogat moa manual loops na bagarapim olgeta as bilong autonomy

Ol enterprise i wok long AWS na Microsoft nau i painim dispela long planti hevi taim (oltaim i stap layering trust antap long systems we em i no bin makim long ai agents long stat)

Mipela i wokim ol rails so agents inap mekim aksen, mekim na soim ol result, na halivim insait long ol on-chain economies long as bilong en

Origins i mekim intelligence i executable

Bihainim mipela sapos yu laik lukim olsem dispela hap i kamap

Na lukim wanem mipela i wokim

Bikos agents i mas i gat wan yet chain. Mipela wokim em

🔗 https://www.origins.network/

#ai #agents
ເບິ່ງການແປ
GM guys! We’re building the infrastructure AI agents need More on this on the video below👇
GM guys!

We’re building the infrastructure AI agents need

More on this on the video below👇
ເບິ່ງການແປ
Google/DeepMind, Microsoft, and independent researchers all dropped work that changes how we build and scale agent systems. Every release has the same dependency: infrastructure that makes agents actually autonomous That’s what we’re working on at Origins Check out our 🔗 to learn more 👇 🌐 origins.network 📄 origins.gitbook.io/origins-whitep…
Google/DeepMind, Microsoft, and independent researchers all dropped work that changes how we build and scale agent systems. Every release has the same dependency: infrastructure that makes agents actually autonomous

That’s what we’re working on at Origins

Check out our 🔗 to learn more 👇

🌐 origins.network
📄 origins.gitbook.io/origins-whitep…
ເບິ່ງການແປ
Every bridge solves a trust problem. So does Origins Network — making AI computation auditable, not just powerful Passing by Gwangali just got reminded why infrastructure matters Look at this yourselves guys, also our cross-vhain bridge is live
Every bridge solves a trust problem. So does Origins Network — making AI computation auditable, not just powerful

Passing by Gwangali just got reminded why infrastructure matters

Look at this yourselves guys, also our cross-vhain bridge is live
ເບິ່ງການແປ
Most blockchains weren't built for agents. Origins was Here's HOW: Proof of Computation -> instead of rewarding capital sitting still, Origins nodes run verifiable AI workloads during timed computation sprints. Each sprint generates a cryptographic proof. That proof determines your voting weight. One compute unit, one vote VRF-based validator selection -> block proposers are randomly selected using a Verifiable Random Function, with 128+ validators forming a committee per block. 12-second slots. 6.4-minute epochs. Predictable, fast, and manipulation-resistant Agent-native identity layer -> agents get verifiable on-chain identities and reputation scores, so they can transact autonomously without requiring human sign-off on every step Try our new features: GPU node rentals with OR staking Cross-chain bridge (BSC, ETH, OR) OR ↔ USDT swap Testnet running with 40+ infrastructure partners onboard What's next: multimodal agents, workflows, agent marketplaces, and eventually a full AI economy where anyone can build, contribute, and earn Chekc out our whitepaper. Follow our build as it is happening Agents deserve their own chain. We're building it 🌐 origins.network 📄 origins.gitbook.io/origins-whitepaper
Most blockchains weren't built for agents. Origins was

Here's HOW:

Proof of Computation -> instead of rewarding capital sitting still, Origins nodes run verifiable AI workloads during timed computation sprints. Each sprint generates a cryptographic proof. That proof determines your voting weight. One compute unit, one vote

VRF-based validator selection -> block proposers are randomly selected using a Verifiable Random Function, with 128+ validators forming a committee per block. 12-second slots. 6.4-minute epochs. Predictable, fast, and manipulation-resistant

Agent-native identity layer -> agents get verifiable on-chain identities and reputation scores, so they can transact autonomously without requiring human sign-off on every step

Try our new features:

GPU node rentals with OR staking

Cross-chain bridge (BSC, ETH, OR)

OR ↔ USDT swap

Testnet running with 40+ infrastructure partners onboard

What's next: multimodal agents, workflows, agent marketplaces, and eventually a full AI economy where anyone can build, contribute, and earn

Chekc out our whitepaper. Follow our build as it is happening

Agents deserve their own chain. We're building it
🌐 origins.network
📄 origins.gitbook.io/origins-whitepaper
ເບິ່ງການແປ
88% of orgs use AI, yet 80% of projects fail. Why? Traditional infrastructure was built for predictable software, not autonomous agents. Agents demand dynamic compute and instant settlement Right now, organizations are stuck choosing between uncapped agent liability or manual approvals that kill autonomy. The economy agents need doesn't exist yet That’s what we fixed at @OriginsNetwork_ Agents deserve their own chain. We built it 🚀
88% of orgs use AI, yet 80% of projects fail. Why?

Traditional infrastructure was built for predictable software, not autonomous agents. Agents demand dynamic compute and instant settlement

Right now, organizations are stuck choosing between uncapped agent liability or manual approvals that kill autonomy. The economy agents need doesn't exist yet

That’s what we fixed at @OriginsNetwork_

Agents deserve their own chain. We built it 🚀
ເບິ່ງການແປ
GM everyone! Join us early. We’re nust geting started 🔗 🌐https://www.origins.network/ 📄https://origins.gitbook.io/origins-whitepaper
GM everyone!

Join us early. We’re nust geting started

🔗
🌐https://www.origins.network/
📄https://origins.gitbook.io/origins-whitepaper
ເບິ່ງການແປ
We’re in an adapt fast or fall behind moment AI isn’t coming, it’s here And the infrastructure built for humans wasn’t designed for agents Humans and Agents They operate differently They transact differently They scale differently. That’s why AI-native infrastructure isn’t a nice-to-have. It’s the foundation for an economy where both humans and agents can actually thrive That’s why we are building Origins Network Agents deserve their own chain. We’re building it 🔗 🌐 origins.network 📄 origins.gitbook.io/origins-whitep…
We’re in an adapt fast or fall behind moment

AI isn’t coming, it’s here

And the infrastructure built for humans wasn’t designed for agents

Humans and Agents

They operate differently
They transact differently
They scale differently.

That’s why AI-native infrastructure isn’t a nice-to-have. It’s the foundation for an economy where both humans and agents can actually thrive

That’s why we are building Origins Network

Agents deserve their own chain. We’re building it

🔗
🌐 origins.network
📄 origins.gitbook.io/origins-whitep…
ເຂົ້າສູ່ລະບົບເພື່ອສຳຫຼວດເນື້ອຫາເພີ່ມເຕີມ
ເຂົ້າຮ່ວມກຸ່ມຜູ້ໃຊ້ຄຣິບໂຕທົ່ວໂລກໃນ Binance Square.
⚡️ ໄດ້ຮັບຂໍ້ມູນຫຼ້າສຸດ ແລະ ທີ່ມີປະໂຫຍດກ່ຽວກັບຄຣິບໂຕ.
💬 ໄດ້ຮັບຄວາມໄວ້ວາງໃຈຈາກຕະຫຼາດແລກປ່ຽນຄຣິບໂຕທີ່ໃຫຍ່ທີ່ສຸດໃນໂລກ.
👍 ຄົ້ນຫາຂໍ້ມູນເຊີງເລິກທີ່ແທ້ຈາກນັກສ້າງທີ່ໄດ້ຮັບການຢືນຢັນ.
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