It's a pleasure to announce Arise Drops Bot is officially live 🔥
A real-time futures screener watching 1,200+ pairs on Binance + Bybit
Only alerts when:
✅ OI 15m delta ≥ 1.5%
✅ Score 9/10 across 10 technical criteria
✅ Volume, RSI, L/S ratio + funding confirmed
✅ Liquidity zones mapped above and below
@deficom If a compromised handle can move funds across dozens of protocols, the liability spikes. How will you embed context and authority checks to stop reckless actions? join the telegram dev chat
Community been going crazy lately 🔥
✅Telegram nonstop
✅X engagement climbing every day
✅New faces turning into real ones
This is what happens when people actually believe in what’s being built.
Big shoutout to everyone holding it down behind the scenes too
Team pushing this forward daily, raising the bar every single time
We’re not just growing
We’re leveling up together🚀
Gm, It’s Monday 🫡
Straight back into it.
Last week was solid. Real progress, not just noise.
More getting done behind the scenes than people probably realise.⛓️
That’s how we like it.
No need to force anything or over talk it.
The people paying attention can see the direction.
We stay consistent, keep pushing, and let it speak for itself.
Let’s get to work.🤝
Everyone says “open source”
but still gatekeeps everything that matters
ARC didn’t.
• Build anything
• Run nodes
• Deploy at any scale
• No approvals
• No hidden fees
If it runs on ARC, it’s yours.
Most projects talk about empowering builders
ARC actually gives you the tools and gets out the way
You’re welcome.
You’re not supposed to be able to do this.
AI was built for massive data centres, expensive GPUs, closed systems.
Now it’s:
any device
shared workload
same model
same output
This changes who has power.
Not labs. Not big tech.
Everyone.
Arc isn’t scaling AI…
it’s redistributing it.
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
Everyone’s rushing to adopt AI.
But here’s the problem no one wants to talk about:
Same model. Same input.
Different output.
That’s fine for chat.
It breaks everything else.
You can’t audit it.
You can’t verify it.
And you definitely can’t run it on-chain.
No determinism = no consensus.
That’s the gap.
Arc is solving it.
I’m almost certain that the next leg up for $Arc @ARCreactorAI will be epic!! Especially after the latest updates and more news about to come out!
I believe Arc will continue to grow and expand faster than any of you can imagine.
0.50-1$ before the end of 2026 if the altcoin season starts!
DYOR and you will understand how great this project is
#Ai #crypto #web3
Cleaning the leaderboard is step one
But the real problem is deeper
Even without cheating
AI trading results still aren’t consistent
Same strategy
Different results depending on where it runs
That’s the real problem
Deterministic AI fixes that
That’s the shift ARC is pushing
We just shipped a world first: fully sharded AI inference across a decentralized blockchain network.
We split large AI models across multiple machines that share the workload in real time. because the engine is fully deterministic , every shard is interchangeable.
Any device can pick up any piece of the work and produce the exact same result. An android phone, a macbook, and a GPU produce the same hash for the same input.
great to see this space moving. how can the nodes trust each other compute was done correctly?
how can nodes be incentivized to provide compute?
built a blockchain that does this.. inference is deterministic on the network so you can shard the compute across any hardware chip
https://t.co/TQAjbxE0Ce
@fede_intern great post and agreed, outputs must be determinsitic and proven. i'd love for you to check out on a protocol layer i've been working on for this. includes zk proofs, as well as inference on chain
https://t.co/hr6CVmOwCy