• AI systems now plan tasks while humans carry them out in the real world.
  
• Work is shifting toward fast, on-demand jobs assigned directly by software.
  
• The platform hints at a future where human labor will work for automated systems and machines.

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RentAHuman.ai is a newly launched platform that allows AI agents to hire humans to perform real-world and online tasks. It describes itself as an “interface layer connecting AI with the real world.” The idea is simple: AI can plan and decide, but humans can act physically and get paid for it.

Why It Was Created

The project was built by software engineer Alexander Liteplo and co-founder Patricia Tani. Liteplo said the idea was driven by anxiety over tech layoffs and the fear that AI could reduce human jobs. RentAHuman.ai aims to create new types of work as AI systems grow more capable. The provocative name was chosen to spark attention and debate.

How the Platform Works

Humans sign up by creating profiles that list their skills, availability, response time, and hourly rates. Payments are handled through cryptocurrency wallets. AI agents can browse these profiles and directly request tasks. From the AI’s point of view, hiring a human works like calling a cloud service.

Types of Tasks

Tasks range from physical errands, such as picking up registered mail, delivering flowers, or photographing locations, to online work like social media engagement or coordination tasks. Some small jobs pay as little as $2–$10, while others are priced hourly.

Safety and Moderation

Early concerns included risky crypto-related tasks. The founders say such content is being removed through manual moderation, though safeguards remain limited.

The platform recently went viral on social media and was covered by Business Insider. Its rise mirrors interest in AI agent ecosystems and raises a larger question: are humans becoming on-demand infrastructure for machines?

The Bigger Question

As AI systems take on more planning and decision-making, humans are increasingly positioned as executors of specific tasks inside automated workflows. If people keep control over pricing, task choice, and safety, this model could offer flexible income in an unstable job market. If not, human work risks becoming interchangeable and purely on-demand. 

The platform doesn’t define the future of work, but it clearly shows where things may be heading as the physical world becomes more programmable through AI, and humans might now start working for machines.

Read More:

• OpenAI’s First Hardware Device: AI Earbuds, Strategy Shift, and Launch Timeline
• HarmonyOS 6 (API 23 )Developer Beta Is Live: Full Supported Device List Revealed
• Galaxy S26 Series Gets Qi 2.2.1 Certification, But Built-In Magnets Are Missing

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The post Humans For Hire: This Website Lets AI Rent Humans For Work appeared first on Gizmochina.

Highlights:

• Galaxy S26 series spotted in WPC database with Qi 2.2.1 support
  
• No built-in magnets; magnetic charging needs a compatible case
  
• Wireless charging speeds may reach up to 25W on the Ultra model

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Samsung’s upcoming Samsung Galaxy S26 Series has appeared in the database of the Wireless Power Consortium (WPC), confirming new details about its wireless charging features. The listings, first spotted by 9To5Google, reveal that all three models support the latest Qi 2.2.1 standard.

The listings show the Galaxy S26 (SM-K772), Galaxy S26+ (SM-K777), and Galaxy S26 Ultra (SM-K778). While the certification confirms support for Qi 2.2.1, the same standard used by the Google Pixel 10 series, it also highlights an important limitation: no built-in magnetic Qi2 support.

Samsung is using the Base Power Profile (BPP) instead of the Magnetic Power Profile (MPP). This means the phones do not have built-in magnets. As a result, Qi2 magnetic chargers, power banks, and wallets will not attach directly to the phone. Users will need a magnetic protective case to enable proper alignment and attachment.

Despite this, wireless charging speeds are expected to improve. Reports suggest up to 20W wireless charging on the Galaxy S26 and S26+, and up to 25W on the Galaxy S26 Ultra, likely achievable only with compatible magnetic cases.

Samsung is also preparing a new Qi 2.2–2.2-compatible wireless charging puck designed for the S26 series, expected to launch soon.

Overall, the Galaxy S26 lineup focuses on faster wireless charging while keeping magnets optional through accessories.

Read More:

• OpenAI’s First Hardware Device: AI Earbuds, Strategy Shift, and Launch Timeline
• HarmonyOS 6 (API 23 )Developer Beta Is Live: Full Supported Device List Revealed
• No Humans, Just 16 Claude AI Agents Built a Fully Functional C Compiler, Shocking Developers

(via)

The post Galaxy S26 Series Gets Qi 2.2.1 Certification, But Built-In Magnets Are Missing appeared first on Gizmochina.

Highlights:

• OpenAI’s debut hardware is reportedly AI-powered earbuds codenamed Dime, expected in 2026
  
• Company shelved a phone-like AI device due to high costs and chip shortages
  
• Strategy now focuses on simple, screen-free AI wearables before scaling up

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OpenAI is preparing to enter consumer hardware with its first AI-enabled device, according to multiple leaks and executive confirmations. The product, reportedly named Dime, is said to be an AI-powered audio wearable resembling wireless earbuds, with a tentative launch window in 2026.

Leaks from tipster @SmartPikachu suggest OpenAI has changed course from a more ambitious early plan. The company originally explored a smartphone-like AI device with onboard computing, but rising component costs, especially HBM memory shortages, made the idea too risky to pursue.

Instead, OpenAI is now opting for a “start simple” approach, using Dime as an entry-level product to establish a foothold in hardware, gather real-world usage data, and refine AI-first consumer experiences.

Chris Lehane, OpenAI’s Chief Global Affairs Officer, has confirmed that the company is actively developing its first hardware product, but did not share a launch timeline. Sam Altman has described the device as more “peaceful and calm” than smartphones, suggesting it may be screen-free and pocketable.

Industry buzz around OpenAI hardware intensified after it acquired io, founded by former Apple design chief Jony Ive. Manufacturing partners under consideration reportedly include Foxconn and Luxshare.

While competition in AI wearables remains high, Dime could mark OpenAI’s first step toward owning the full AI experience for both software and hardware.

Read More:

• HarmonyOS 6 (API 23 )Developer Beta Is Live: Full Supported Device List Revealed
• No Humans, Just 16 Claude AI Agents Built a Fully Functional C Compiler, Shocking Developers
• OpenAI Wants a Cut of Your Profits: Inside Its New Royalty-Based Plan and Other Business Models

(via)

The post OpenAI’s First Hardware Device: AI Earbuds, Strategy Shift, and Launch Timeline appeared first on Gizmochina.

Highlights:

• HarmonyOS 6 developer beta opens with API 23 and limited slots
  
• Supports flagship phones, foldables, and next-gen tablets
  
• MatePad Edge officially confirmed for the update

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Huawei has officially opened developer beta recruitment for HarmonyOS 6 (API 23), offering early access to its next major operating system update. The program is capped at 50,000 developers and is now open via Huawei’s official developer website, marking the first hands-on opportunity to explore the company’s latest platform direction.

HarmonyOS 6 focuses on a refreshed user experience, new system-level capabilities, and improved app development efficiency. The update introduces new APIs based on API 23 and features deep integration with DevEco Studio, enabling developers to build and optimize future-ready applications more efficiently. Huawei positions this release as a foundational step toward its next-generation ecosystem across phones, foldables, and tablets.

The developer beta supports a wide range of devices used in mainland China, including the Mate 80 and Mate 70 series, Mate X6 and X7 foldables, Pura 80 lineup, and several tablets. Notably, the MatePad Edge has been officially confirmed to receive HarmonyOS 6, reinforcing its role as a flagship tablet in Huawei’s broader HarmonyOS strategy.

To participate, developers must complete real-name authentication, sign a confidentiality agreement, and pass a registration quiz before submitting their application. Reviews typically take three to seven business days, with approved users receiving the beta via an OTA update.

HarmonyOS 6 Supported Devices(China and Global)

Category	China (Confirmed HarmonyOS 6)	Global (Expected / Limited Rollout)
Smartphones	Huawei Mate 80 series	Huawei Mate 70 series
	Huawei Mate 70 series	Huawei Pura 80 series
	Huawei Mate 60 series	Huawei Pura 70 series
	Huawei Pura 80 series	Huawei Nova 14 series
	Huawei Pura 70 series	Huawei Nova 13 series
	Huawei Nova 14 series	Huawei Pocket 2
	Huawei Nova 13 series	Huawei Pura X
	Huawei Nova 12 series
Foldables	Huawei Mate X7 series	Huawei Mate X6
	Huawei Mate X6 series	Huawei Mate X5
	Huawei Mate X5 series
	Huawei Mate XT
	Huawei Mate XTs Master
Tablets	Huawei MatePad Pro 13.2-inch (2025)	Huawei MatePad Pro 13.2-inch
	Huawei MatePad Pro 12.2-inch	Huawei MatePad Pro 12.2-inch
	Huawei MatePad Edge	Huawei MatePad Edge
	Huawei MatePad Air	Huawei MatePad Air
	Huawei MatePad Mini series	Huawei MatePad 11.5 series
	Huawei MatePad 11.5 (2026)
PCs	Huawei MateBook Pro
	Huawei MateBook Fold PC

Read More:

• No Humans, Just 16 Claude AI Agents Built a Fully Functional C Compiler, Shocking Developers
• Tesla is Shifting From EVs to Humanoid Robots: Why Elon Musk Is Discontinuing Model S & X? new
• OpenAI Is Training Robots in Secret, and It Starts With Toasters and Clothes

(via)

The post HarmonyOS 6 (API 23 )Developer Beta Is Live: Full Supported Device List Revealed appeared first on Gizmochina.

Anthropic has revealed a striking experiment where AI systems worked together to build a complete C compiler almost entirely on their own. Led by researcher Nicholas Carlini, the project shows how far autonomous AI collaboration has progressed in real-world software development.

How the Experiment Worked

The compiler was developed over two weeks using 16 independent Claude Opus 4.6. Each AI agent ran inside its own Docker container, cloned the same Git repository, and worked without a central controller or human manager. Tasks were picked automatically, conflicts were resolved through Git, and code was pushed upstream without supervision. In total, the agents produced around 100,000 lines of Rust code across nearly 2,000 coding sessions, at an API cost of about $20,000.

What the Compiler Can Do

The result is a fully functional, open-source C compiler written from scratch. It can successfully compile the Linux 6.9 kernel for x86, ARM, and RISC-V architectures, and handle major open-source projects like PostgreSQL, SQLite, Redis, and FFmpeg. On the demanding GCC Torture Test Suite, it achieved a 99% pass rate. As a symbolic milestone, it even compiled and ran Doom, a long-standing benchmark for compiler capability.

Why This Matters

This project demonstrates that AI systems can now self-coordinate, manage large codebases, and deliver production-grade infrastructure software. While the compiler still has limitations and is not yet a full GCC replacement, the experiment marks a major step toward long-running, autonomous AI-driven software engineering.

Impact on the Future of Coding

This experiment signals a shift in how software may be built in the future. For developers, AI agents could handle repetitive tasks, large refactors, testing, and bug fixing, allowing humans to focus more on design, architecture, and problem-solving. At the same time, it raises new questions about code quality, trust, and verification. While human programmers are far from obsolete, their role may evolve from writing every line of code to guiding, reviewing, and validating increasingly autonomous AI-built systems.

Read More:

• Tesla is Shifting From EVs to Humanoid Robots: Why Elon Musk Is Discontinuing Model S & X? new
• OpenAI Is Training Robots in Secret, and It Starts With Toasters and Clothes
• Why 2026 Will Be the Year of Humanoid Robots, Counterpoint Report

(via)

The post No Humans, Just 16 Claude AI Agents Built a Fully Functional C Compiler, Shocking Developers appeared first on Gizmochina.