🟦 Are you positioned for Mainnet?
✅ Holding $ARC
✅ Running a node
✅ Participating in Testnet
Everything happening today is helping shape what comes next.
The network is being built in real time.
#ARC#AI#MEXC
Running an ARC node is easier than most people think. 🟦
This walkthrough shows the ARC Node App, how to create a node, and how to get started in Testnet.
A few clicks. You’re in.
Watch @RealTjDunham below 👇
We’ve come a long way since announcing ARC Chain.
Countless updates.
Community feedback.
Relentless building.
Today, the network is stronger than ever.
And now, node operators can earn rewards during Testnet, claimable at Mainnet. ⚡
The journey is just getting started. 🟦
Do you hold $ARC?
Have you created an Arc node?
You will be interested in our next post. 👀
You still have time.
More details coming. ⚡
Ca: ETH
0x672fdBA7055bddFa8fD6bD45B1455cE5eB97f499
Running an ARC Node is now stupid simple.
No setups. No configs. No expensive hardware.
If you’ve got a laptop, you’re good.
Full step-by-step + downloads below 👇
How to Set Up an ARC Chain Node in 30 Seconds. Earn ARC Easily.
This is what “AI for the people” actually looks like.
No complex setup.
No barriers.
No excuses.
Spin up a node.
Run AI.
Get rewarded.
Most people will keep watching.
A few will actually run it.
Be one of the few.
@RealTjDunham Pretty wild to see this kind of distributed setup actually working in real time.
The verifiability and consistency across machines is a big step toward more transparent, trustless AI.
Definitely feels like a glimpse of where things could be heading.
hey friends, been working on something. built an inference engine in Rust that runs any open source model across multiple devices at once.
macbook holds some layers, a gpu holds others, a
phone picks up the rest. all computing in parallel, output identical to running the full model on one machine.
you might have seen mesh-llm from Dorsey's team doing something similar. their approach gives each
node a subset of experts and skips the missing ones. their own testing showed 4-node splits "produced garbage." they trade model quality for speed.
mine keeps every parameter, every expert, every time. the engine is pure integer math so every device produces the same output bit for bit. i believe this can empower our community and anyone to be able to run and own sota open source models without the api costs
Before this week everyone thought it was impossible to run ai models on chain, the only experiments in labs capped out at 10m parameters
We have live 7B models running inference right now, all on chain! AI you can trust
Today I'm publishing my paper, "On the Foundations of Trustworthy AI."
I built a fully deterministic inference engine. Same model, same input, same output on every chip on earth. Provable by blockchain hash. Fully trustworthy AI.
https://t.co/KCmdQYBAQH
This is actually HUGE!
AI on-chain always sounded cool
but never really worked properly
ARC just did it live😏
AI running on-chain
Same output every time
No guesswork, no black box
You don’t have to trust it
You can verify it
That’s the difference🤝
Deterministic AI is trustworthy AI
Deterministic inference means every forward pass is reproducible. Every benchmark is verifiable. Every result is independently confirmable on any hardware.
No more "works on my machine." No more irreproducible evals.
Paper has the math. Code is public.
https://t.co/YwTFjd6ij7