Matrix Beta is now live!
ARC is launching the next generation of privacy-first AI.
Introducing Matrix — fully private AI infrastructure where you own your AI models through your wallet, with no backdoors, no blind trust, and no data exposure.
Matrix runs entirely on Base chain, enabling on-chain AI ownership, access control, and verification — making secure, enterprise-grade AI practical at scale.
With Matrix Beta, you can:
• Run AI models on encrypted data
• Preserve privacy end-to-end by architecture
• Generate verifiable on-chain proofs for every AI action
• Use ARC-native or open-source models inside a secure runtime
• Enforce wallet-based ownership and permissions over AI models
• Enable AI in regulated environments without exposing sensitive information
Matrix is built to secure your data and your AI models — not just in policy, but in cryptography.
Privacy isn’t a feature.
It’s the foundation of intelligence.
Start exploring Matrix Beta now → https://t.co/zbHHO24tlm
@SeunfunmiShuaib@fluence_project Infrastructure matters.
The difference is that ARC isn’t focused on where AI runs.
It’s focused on making AI verifiable, deterministic, and native to the network itself.
Same input. Same output. Every time.
🎥AMA Clip🎥
What is an ARC node actually doing?
A community member asked how operators can tell their node is actively participating in the network.
TJ explains that ARC nodes provide compute capacity that can be routed to both network transactions and AI inference.
Not just securing the network.
Actually contributing compute to it.
⚡ Run AI
⚡ Provide compute
⚡ Participate in the network
GM ☕️
Every update, every test, every piece of feedback moves ARC forward.
That’s what testnet is for.
Building in public.
Finding what works.
Improving what doesn’t.
The community isn’t just watching the process. You’re helping shape it.
Keep testing. Keep sharing feedback. Keep asking questions.
Together we’re creating the future of on-chain AI. 🔵🤖
The world will own their ai models. And they will run on the data centers we have sitting around at home right now..
Our phones, our laptops, our devices
arc:celerate @ARCreactorAI
Elon Musk talks about truth-seeking AI.
Sam Altman talks about the future of AI.
@nvidia powers the infrastructure behind it.
One question for all of them:
How do you verify AI if the same input can produce different outputs?
Arc Chain’s answer is deterministic AI.
Same input. Same output. Every time.
That’s what makes verifiable AI on-chain possible. 🟦
🎥 AMA Highlight🎥
A question came up about liquidity and LP growth.
The answer?
We’re not focused on artificially forcing liquidity higher.
We’re focused on delivering cheaper AI inference and real utility.
Build something people actually use, and the liquidity takes care of itself.
@Sebasti90014306 Some projects concentrate on the wrong narrative. It’s usually the narrative of making themselves or big tech more.
We concentrate on our Community.
You don’t need a crazy setup to get started.
Not some huge server room.
Not expensive hardware.
Most people already have what they need.
Ai For The People!
Run AI. Earn from it. ⚡
ARC Chain testnet is live.
The future of AI won’t be owned by big tech.
It’ll be powered by people.🤝
$ARC - 0x672fdBA7055bddFa8fD6bD45B1455cE5eB97f499
Today we go live. 🎙️
ARC Chain AMA
🗓️ 28th May
⏰ 11AM CST
We’ll be covering:
• ARC Chain progress
• On-chain AI infrastructure
• Deterministic AI
• Nodes, ecosystem & what’s next
• Community questions live
Drop your questions below 👇
Who wants an AMA to talk everything ARC Chain? 👀
AI on-chain. Nodes. Determinism. What’s coming next.
Drop your questions below and keep an eye out for tomorrow’s AMA time announcement.
Tag who you think should be there 👀
People like Sam Altman, Elon Musk, Andrew Ng, Lex Fridman and Balaji Srinivasan should be paying attention to what $ARC is building 👀
This isn’t a toy AI model.
This is a full-size AI model running on-chain across a live network.
Not hosted behind an API.
Not simulated.
Not “AI-powered” marketing.
Actual AI inference happening on-chain with deterministic outputs.
Same input. Same output. Every time.
That changes everything for verifiable AI. 🔥