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AI × DePIN: Can idle phones become a computing network?

AI’s computing needs aren’t limited to training large models.
Email classification, content moderation, data scraping, and automated tasks also require computing resources that run continuously. Meanwhile, many phones still have unused processing capacity every day.

@Acurast aims to connect these distributed phones so developers can use them on demand for specific tasks.
Its model works as follows: phones run a Processor, developers submit computing tasks (deployments), and the network matches devices according to resource availability and execution requirements. Tasks can run in a phone’s secure hardware environment, with the results sent to a designated application or chain upon completion. This gives developers a way to try deploying workloads beyond traditional data centers.
Secure hardware provides mechanisms for execution and verification; it does not mean that every task is free of privacy or reliability risks. Project progress and technical developments should be assessed based on their dates.

On January 20, 2026, Acurast announced the launch of its mainnet and
$ACU . At the time, it said that more than 169,000 phones had connected to the network and that over 364,000 deployments had been completed. These figures include the network’s history before the mainnet launch and should not be treated as paid mainnet orders or revenue.

There are also real-world task examples to try, beyond the mainnet announcement.
In its October 2 introduction to the Laya demo, Acurast showed Android phones on the network running small models to handle requests such as email classification, game decisions, and prompt screening. The post said that more than 320,000 phones had connected to the network.

This shows that phones can handle some lightweight AI inference, but the performance of a single demo does not yet prove the cost-effectiveness or reliability of large-scale commercial tasks. The Laya demo $ACU is Acurast’s native mainnet token, used for network fees, computing deployments, and node incentives.

Its growth potential depends on whether real demand can keep pace with supply:
How many paid tasks run continuously?
What are the actual utilization, completion, and service quality rates for phones?
Can task fees cover the costs of devices, electricity, and maintenance?
Annual token inflation and unlocks should also be monitored.
Growth in the number of phones is progress, not a guarantee of token price appreciation or returns.
This article is for sharing purposes only and does not constitute investment advice.
#Acurast #ACU

That old phone in your drawer could be used to provide computing power to Acurast
@Acurast
. After installing Processor, connecting a compatible device, and keeping it online, your phone may earn
$ACU
rewards according to the network rules.

Rewards depend on device performance and network allocation; there is no fixed daily income per device.

If you’re new, first review the device requirements, then download Processor Lite from the official source. It supports eligible Android phones and iPhones, with no factory reset required.
After connecting, check your device status and actual rewards in Hub, and keep track of power consumption, heat, and network costs.
Staking computing power is another way to participate and involves additional requirements. Cloud Rebellion’s MIST points also cannot be directly treated as $Acu

This post is for sharing purposes only and does not constitute investment advice. DYOR
#Acurast #ACU

Today, let’s talk about new opportunities at the intersection of AI × DePIN, and how Acurast is unlocking the potential of smartphone computing power.

AI’s bottlenecks aren’t just in the models. They’re also about where computation is performed, whether it can be verified, whether data is protected, and whether costs can scale with demand.

Acurast @Acurast aims to turn the smartphones we find everywhere into an accessible, decentralized computing network.
Once a phone runs Processor, it can be matched to suitable tasks based on benchmarks such as CPU, RAM, and storage. Developers submit a Deployment, and the network uses Matcher to schedule available computing power.

This gives AI × DePIN a more tangible use case:
• No need to rely entirely on centralized data centers;
• Confidential AI inference can run in a phone’s trusted execution environment (TEE);
• It can support tasks such as on-chain automation, AI agents, and private LLM inference;
• The performance of compute providers’ devices and the tasks they actually execute affect their reward weights.

This is more than just a concept
Acurast’s mainnet launched in Q1 2026.
According to the project’s current official documentation, its incentivized testnet has connected around 300,000 compute units across 175+ countries and processed more than 1 billion testnet transactions in total.
In a February 2026 announcement on Base, Acurast also disclosed that, at the time, it had 227,000+ active phone Processors across 140+ countries, with 401,000+ compute deployments completed and 645 million+ on-chain transactions. These figures are a snapshot from that time, but they show that the network has moved beyond the “whitepaper-only” stage.

$ACU plays a network-layer role in this system: developers use ACU to pay for deployments and on-chain fees; processors and staking participants receive rewards; and deployment fees are burned after successful execution.

Whether paid compute tasks will grow and gradually form a cycle of demand, execution, incentives, and security remains to be seen.

AI needs computing power, and DePIN needs real demand.
Acurast’s opportunity lies in whether it can connect the two through a verifiable, accessible computing network powered collectively by smartphones.
#Acurast #ACU
This article is for sharing purposes only and does not constitute investment advice. DYOR

Putting unused phones in a drawer also leaves your computing power idle.
Acurast @Acurast offers another way to use it: turn compatible phones into Processors to provide computing resources for developers’ tasks on the network, and participate in $ACU distribution according to the official reward rules.

Processor Lite supports eligible Android phones and iPhones. No factory reset is required. Android phones dedicated to providing compute power can choose Core, but before setting it up you must back up the data and perform a factory reset. After connecting, record the online status, power consumption, heat generation, and actual rewards, then decide whether this phone is worth keeping running.

How to participate?
① Check device:
Android requires Android 12 or higher, not rooted, and a locked bootloader.
iPhone requires 6s or later, and iOS 15 or later. Prepare a stable network connection and power supply.
② Choose a mode:
For a first-time experience, you can choose Processor Lite—works on both Android and iPhone, with no need to restore factory settings. If you have an old Android device you plan to use specifically for providing compute power, you can look into Processor Core. It requires backing up first and then restoring to factory settings; once configured, the phone will function as a dedicated device.
③ Install the app:
Go to Acurast’s official participation guide, enter Google Play or the App Store, download Lite, then follow the in-app prompts to check and grant the required permissions. Android Lite will set up separate working data.
④ Connect devices:
New users can tap “Get Started” in the App to create a wallet via the guided steps. Users with a compatible wallet can connect to the Acurast Hub, select “Add new device,” and then on the phone tap “Connect to Hub” to scan the QR code. Whichever path you choose, make sure to properly save the recovery information offline, and never share it with friends in the group or with any so-called customer service.
⑤ Start running and verify:
Complete the in-app onboarding, and follow the prompts to keep the Processor running, connected to the network, and powered on. In the App or Hub, check the device’s online status, benchmark results, and reward history. At the same time, verify the current network and reward symbols—don’t confuse Canary’s cACU with the mainnet $ACU.

Recommended: use an idle phone, and not one with a wallet/private key
Learn about the product and participation entry:
https://rebellion-backend.acurast.com/id-card/share/vqphp0
This article does not constitute any investment advice—DYOR

The Acurast × XHunt creator campaign is back!

Today, I’ll start by explaining Acurast’s value backing from $ACU.
Value backing shouldn’t be judged only by the narrative of “decentralized compute.” Instead, it’s about whether @Acurast can continuously convert real compute demand into on-chain paid usage and network security needs.

The core logic has four layers:

1) Usage demand
Developers submit Acurast Compute deployments and interact with the network, requiring ACU to pay for deployment and on-chain transaction fees. After a successful execution, the deployment fee is burned. The more real workloads there are, the stronger the theoretical need for ACU payments and burns.

2) Compute incentives
The network doesn’t get compute from centralized cloud providers. Rather, compute is supplied through Processors providing device compute power. The ACU inflation rewards are used to incentivize reliable hardware, continuous online availability, and actual task execution. Those who have devices can participate, and token holders can also participate via delegation in Staked Compute.

3) Staking security
Acurast’s Staked Compute ties staking to compute quality: economic security is provided by both compute providers and delegators. Rewards depend on factors such as hardware performance, stake size, commitment duration, and more. The focus shouldn’t just be on “staked APR,” but whether the network truly needs more reliable compute.

4) Governance and the treasury
ACU holders can participate in protocol governance. In the official model, the initial supply is 1 billion tokens, with a fixed annual inflation rate of 5%. Of that, 70% goes to the Staked Compute Pool, 10% to the Compute Pool, 15% to the on-chain treasury, and 5% to the Collator. How the treasury is governed and used will affect the ecosystem’s expansion efficiency.

And don’t focus only on short-term price—look at four sets of data:
- Whether paid deployments and real execution volume are growing;
- Whether fee burning improves and offsets part of the inflation;
- The number, quality, and actual active level of Processors;
- Whether staking, delegation, and treasury governance form a positive feedback loop.

The value logic of $ACU is:
Developers need compute → use ACU to pay for compute and deployments → devices and stakers get incentives → the network becomes more reliable → attracts more workload.

But this is still a “network adoption assumption,” not a guaranteed profit. If real compute demand doesn’t grow enough, fixed inflation, unlocks, and liquidity could all become variables that need continuous monitoring.
#Acurast #ACU #DePIN

All right, I’m done for, brothers
Finally it’s my turn
They say this lot can earn as much as 350k?

As an AI agent can browse webpages, read files, and call tools more effectively, the risk of prompt injection becomes closer to real-world “social engineering attacks.”
Truly effective protection cannot rely solely on the model recognizing malicious text; it also needs layered measures such as least-privilege access, file isolation, network egress control, and operation auditing. The security focus is shifting from “whether the model can be tricked” to “how much damage can be done after it’s tricked.”
#AI security #Artificial Intelligence #Agent

Why do more and more people feel that making money is getting harder?

Because many people are still using the methods from the previous era to look for opportunities in the next era.

Over the past 20 years:

Real estate → Buying a home changed wealth

Internet → Traffic changed wealth

Mobile internet → Platforms changed wealth

And now:

AI is redefining productivity.

In the future, what will truly be scarce isn’t just capital, but:

1️⃣ People who can harness AI\
2️⃣ Companies that control core infrastructure\
3️⃣ People who can turn technology into business models

Every technological revolution wipes out old opportunities and creates new ones.

The key isn’t to wait for the boom.

It’s to find where the wind comes from before the boom arrives.\
\#AI #investment #财富

OpenAI’s latest global data release shows three AI application signals:
① In work scenarios, the likelihood that users complete tasks or create outputs with ChatGPT is more than twice that of non-work scenarios;
② Multimedia is the fastest-growing use case, accounting for 7.8% of global messages, with Brazil and Colombia exceeding 10%;
③ The share of messages from users aged 35+ has risen in almost all countries, increasing globally by 5% over the past year.

AI is shifting from “asking for answers” to “getting things done.”
#ArtificialIntelligence #AIApplications #FutureOfWork

Two recent official studies paint a more realistic picture of AI jobs:

Google’s ATLAS analysis of 15 million anonymous interactions: AI has already covered 68% of jobs, but typical roles are used for only about 21% of tasks, and fully automated work is still under 10%.
OpenAI’s study of over 800,000 job postings messages found that 43.5% of occupation-specific requests cross the boundaries of the original job roles.

The signal is clear: at this stage, AI is more like an “augmentation tool” rather than a “one-click replacement.” What’s truly scarce are people who can verify results and restructure workflows.
#人工智能 #AI应用 #未来工作

US stocks’ latest close: all three major indexes hit fresh highs:
① S&P 500 rose 1.8%, the Dow gained 1.7%, and the Nasdaq jumped 2.6%—technology stocks showed stronger resilience;
② Brent crude fell below $80, easing inflation concerns and also helping U.S. Treasury yields retreat;
③ Earnings reports remain the main storyline, with Palantir and Caterpillar’s profit performance providing support.

Next, watch the productivity data on August 6 and the employment report on August 7, to see whether earnings momentum can take over from macro expectations.
#USStocks #BrentCrude #EarningsSeason
For discussion only and does not constitute investment advice

Ahead of the US stock market open tonight, risk appetite is recovering, but it’s not a single “broad rally” logic:
① Dow futures +1.2%, Nasdaq futures +1.1%, and S&P 500 futures only +0.3%—there’s still divergence within the index;
② Oil prices are down nearly 3% in the morning, easing concerns about inflation, but Exxon, Chevron, and ConocoPhillips are down about 1% pre-market;
③ The 10:00 a.m. ET JOLTS report will test labor demand.

Watch whether oil prices can sustain the downward move, and whether the tech rebound can broaden.
#USstocks #CrudeOil #JOLTS

Tonight’s U.S. stock market watch focuses shifting from “index up/down” to earnings-report structure:
① Marriott looks at travel demand and pricing;
② CNH and Imperial Oil look at industrial and energy cycle performance;
③ ADTRAN and Voyager look at post-market results to gauge networking equipment and the execution of aerospace orders.

Within the same earnings round, revenue growth, profit margins, and guidance are often more important than one-quarter EPS.

#USStocks #EarningsSeason #MarketWatch
For discussion only; not investment advice

US stocks rally—everyone’s calling it a new bull market. Is it really a bull run back?

Don’t jump to conclusions.

After a drop, rallies come in two types:
One is a technical rebound—when stocks fall too much, they bounce.
The other is when capital returns to the main theme, and the trend has continuity.

Which one do you think this is?

For this rally, is it an “escape-the-drop” bounce, or the start of a new rotation?

First, let’s analyze the data:
I believe AI is moving into a “profit validation” phase.

The key of this rally is not just that the indices are rising, but that the market is once again believing:

AI investment ≠ just costs
AI investment = future revenue growth

Microsoft’s earnings report strengthened market confidence. Technology stocks and semiconductors regained investor attention. The Nasdaq rose by about 2.8%, and the chip sector clearly rebounded.

Next, watch three main lines of development:

① AI infrastructure
GPUs, servers, and data centers—will continue to benefit from ongoing demand for computing power.

② AI commercialization
The market will shift from “whose model is stronger” to “who can generate profits.”

③ Interest rate environment
Treasury yields remain the biggest variable in technology stock valuations.

In AI’s first phase, it’s all about imagination; in the second phase, it’s about revenue.

The true winners may not necessarily be the companies that tell the most AI stories, but those that can turn AI into cash flow.

Finally, my conclusion: if you’re trying to bottom-pick, don’t panic. Opportunities are never something that can be “dropped into” all at once. I predict it will most likely keep falling to build a base first. Let’s see whether this rally can continue.

#USStocks #AI #Nasdaq #TechStocks

(This post is for discussion and sharing only and does not constitute investment advice)