The cloud shouldn’t belong to a few giant server farms. @Acurast is turning phones into decentralized compute, and Cloud Rebellion is where the army gets organized. Join Cloud Rebellion with referral code: 3g82zh hub.acurast.com/rebellion?re… #Acurast #CloudRebellion #DePIN

Acurast just showed a private LLM running on a single attested smartphone, exposed through NodeGhost as a standard OpenAI-compatible endpoint. No hosted API. No rented cloud GPU. Just a quantized Qwen2.5-3B model, an @Acurast tunnel, and a public HTTPS URL pointing back to a phone. This is not “replace OpenAI tomorrow” hype. It is a concrete pattern for private, async, edge AI workloads on hardware you actually control. #Acurast #NodeGhost #DePIN @nodeghostai

Builder Spotlight: a private LLM running on a single phone, reachable as a standard OpenAI endpoint by @nodeghostai 🔥 No hosted API, no rented cloud GPU. The model runs on one attested Acurast processor. The Acurast tunnel makes that locally-bound model reachable at a public HTTPS URL, and NodeGhost serves it as a drop-in OpenAI-compatible endpoint through Bring Your Own Model. It's an ordinary OpenAI call. The machine answering it is a phone. One quantized Qwen2.5-3B model, one tunnel, one registration step. Deployable on Canary today, and honest about what a 3B model does on a mobile CPU. Full breakdown: acurast.com/blog/builder-spo…

Longer cooldown. Stronger hardware. Bigger stake. Every variable you control drives the rewards you receive for staking. The Acurast network rewards those who commit. Got no hardware? No problem, you can even participate with your tokens only. Discover more: acurast.com/staking/

A clip from our CoinMarketCap live discussing the use cases Cargo unlocks. Beyond web scraping, builders can now run AI agents continuously inside a Cargo container, no dedicated infrastructure needed. Get started with Cargo for yourself: docs.acurast.com/developers/…

Private AI. On the machine. @qvac by @tether is live on @peaq’s robotic.sh, bringing private, on-machine inference to peaqOS. Robots can discover QVAC, place an order, run inference locally, keep data private, and leave auditable results through peaqOS. #peaq #QVAC

QVAC by Tether going live on peaqOS Scale is a real infrastructure move, not just another “AI for robots” headline. peaqOS gives machines identity, service discovery and auditable execution records, while QVAC adds private inference on or near the machine itself. That is exactly where robotic AI gets interesting. Less cloud dependency, more machine-native intelligence. @peaq

Acurast is turning the phone in your pocket into part of the compute layer. No giant cloud throne. No single point of control. Just decentralized infrastructure built from devices already everywhere. The cloud just got an offer it can’t refuse. #Acurast #DePIN @Acurast

Cloudflare just confirmed it: agents now outnumber humans on the web. 57.4% of all traffic is automated, most of it AI agents browsing and acting for us. The crossover wasn't expected until 2027. It happened this week. Every one of those agents runs somewhere. Right now that means a handful of centralized clouds. One outage, one policy change, and part of the agentic internet goes dark. Acurast runs a network of 260,000 smartphones across 175 countries. Real devices, no data centers, no single point of failure. Acurast is the compute layer the agentic internet actually needs. Join the rebellion: hub.acurast.com/rebellion

Acurast and Numbers Protocol are exploring a question the AI industry can’t avoid forever: how do you verify what autonomous systems are doing? Decentralized compute is one piece of the puzzle. Provenance, accountability and verifiable outputs are the other. The combination of @Acurast’s phone-powered infrastructure and @numbersprotocol’s authenticity framework points toward AI systems that are trustworthy by design, not by marketing.

Compute is scarce. Old smartphones are not. @Acurast closes that gap, turning the most abundant piece of personal hardware in the world into productive, rewarded infrastructure. Your spare phone isn't dead. It's just waiting.

The @peaq pay-per-skill leasing idea reframes robotics from “sell the machine, lose the upside” to “own a slice of every job it performs.” That matters because autonomous machines will not just need financing. They will need revenue rails, insurance logic, usage tracking, and settlement built into the runtime itself. Robots earning on-chain is not a gimmick. It is infrastructure for machines becoming economic actors. #peaq #DePIN

.@peaq is pointing at a real shift here. Robots are becoming productive assets, not just hardware SKUs. When revenue can be split automatically per task, the manufacturer, financier, and insurer can all sit inside the same machine economy without drowning in invoices.

The cloud was never meant to be owned by giants. @Acurast is taking it back, phone by phone. Join the #CloudRebellion and help push decentralized compute back to the people: hub.acurast.com/rebellion?re… #Acurast #DePIN

.@numbersprotocol and @Acurast are lining up the two pieces AI agents will badly need: provenance and verifiable compute. Because once autonomous agents start acting for users, “trust me bro” stops being infrastructure. The real question is who can prove what happened, where it happened, and why.

Cargo might be one of the most important upgrades @Acurast has shipped so far. Before Cargo, developers were boxed into a much narrower runtime. Now Acurast brings full Linux workload support to a decentralized network of real Android smartphones. That turns “cloud in your pocket” from a slogan into actual infrastructure, with VPS-like workflows, SSH access, and support for Python, Go, Rust, and more. It opens the door for AI agents, automation, backend services, and workloads that need cheaper, distributed, confidential compute. Acurast is not trying to copy the cloud.... It is trying to make the cloud harder to monopolize! Watch the clip: x.com/Acurast/status/2061831… #Acurast #DePIN @a_d_c_

Acurast’s Cargo upgrade is a big deal because it turns the network from “decentralized compute with limits” into something much closer to a real cloud layer. Linux workloads, familiar developer tooling, and secure execution across phones. That is not just a feature drop, that is @Acurast widening the door.

.@Acurast Cargo running full Linux containers on Android phones is where things get properly interesting. My first spin-up would be a lightweight API/backend, because that’s the cleanest test: uptime, latency, logs, deployment flow, and whether decentralized phone compute can feel boring in the best possible way.