Core Viewpoint - The article argues that the notion of "AI Browser = OS" is fundamentally flawed, emphasizing that while AI browsers may exhibit functionalities similar to operating systems, they do not possess the core responsibilities and capabilities that define an OS [6][9][23]. Group 1: AI Browsers and Their Capabilities - AI browsers like Dia, Comet, and ChatGPT Atlas are emerging as significant players in the AI landscape, with traditional browsers like Chrome and Edge also adopting AI features [3][7]. - The capabilities of AI browsers have expanded to include functionalities that were traditionally associated with operating systems, such as PWA, Service Worker, and background synchronization [7][9]. - Despite these advancements, AI browsers lack essential OS functions such as process scheduling, memory management, and system calls, which are critical for true operating system classification [9][11][15]. Group 2: Definition and Future of AI Browsers - The article suggests that a more appropriate term for the operational layer of AI browsers would be "Agent Operating Layer" (AOL), which focuses on orchestration, permissions, and state management [16][23]. - Future developments may lead to a "universal container" model for AI browsers, allowing for better integration with various AI models and APIs, thus enhancing their functionality [18][22]. - The shift from a model-centric approach to a capability-centric approach is anticipated, where the focus will be on defining stable and governable capabilities rather than merely upgrading models [22][23].

RT Newosphere (@newfound8ion)For the first time, your AI can be an extension of you — not a service you use.newOS is a new operating system for the mind. It gives your intelligence a home — a place to create a personal AI modeled on your own way of thinking, with its own memory, identity, and wallet powered by the Ethereum Virtual Machine (EVM).Now going live on @Base, every AI in newOS receives a trust score and cryptographically verified interactions, so your intelligence, ideas, and data remain fully you ...

Project Goal - The project aims to build a minimal, custom Linux OS using Buildroot, automating the entire process [2] - The OS will be based on Linux and built from the ground up with Grok4 [1] Technical Implementation - The process involves two phases: code generation and execution with iterative debugging [2] - The project requires creating a specific directory structure including `buildroot/`, `configs/`, `board/`, `output/`, and `scripts/` [5] - A minimal Buildroot defconfig (`configs/tiny_linux_defconfig`) is needed, ensuring BusyBox is statically linked (`BR2_PACKAGE_BUSYBOX_STATIC_LINK=y`) [6] - The latest stable Linux kernel should be built using `tinyconfig` as a base, with specific options enabled for QEMU compatibility [7][8] - The system should produce a compressed cpio initial ramdisk (initramfs) image [8] - Path-aware `build.sh` and `test.sh` scripts are required, using absolute paths and maximizing build speed with `-j$(nproc)` [9][10] Testing and Validation - The generated scripts (`setup.sh`, `build.sh`) must be executed and debugged iteratively in a sandboxed Linux shell [2][10] - The target architecture is x86_64, using the default Buildroot toolchain and BusyBox init system [11] - The process involves capturing output, analyzing errors, correcting code, and repeating execution until successful [13][14][17]

Group 1: AI and Multimodal Intelligence - The industry is witnessing accelerated development in multimodal intelligent agents, with a focus on key technologies and applications [2] - Major models such as Grok4, KimiK2, GLM4.5, Genie3, and GPT5 are evolving rapidly, characterized by open-source, low-cost, low hallucination, and multimodal features [2] - The launch of the first assessment for trustworthy AI multimodal agents aims to promote technology development and product implementation [2] Group 2: Computing Power Conference - The 2025 China Computing Power Conference will be held from August 22 to 24 in Datong, focusing on the theme "Building Foundations with Computing Networks, Guiding the Future" [3] - As of March this year, the number of standard computing power racks reached 10.43 million, with intelligent computing power scaling at 748 EFLOPS [3] - The AI computing market in China is projected to reach $25.9 billion by 2025, with a year-on-year growth of 36.2% [3] Group 3: Brain-Computer Interface Investment - OpenAI is considering investing in Merge Labs, a brain chip company exploring gene therapy for brain cell modification [4][5] - The global market for brain-computer interfaces in the medical field is expected to reach between $40 billion and $145 billion by 2030-2040 [5] - The brain-computer interface industry is suitable for medium to long-term investment, focusing on application expansion, technology iteration, and market demand [5] Group 4: HarmonyOS Development - HarmonyOS 5 has surpassed 10 million terminals, marking a significant milestone in its development [6] - Over 30,000 HarmonyOS applications and services are currently in development or updating, with the top 5000 applications covering 99% of user engagement [6] - The release of HarmonyOS 6 is expected to further enhance the ecosystem, attracting more developers and manufacturers [6]

Product & Technology - Apple's AI development will be accessible to developers, fostering innovation [1] - Opening Apple's app models to developers is a significant and innovative step [2] - Operating system changes will unify the user experience and increase user stickiness [3] - Design changes, possibly involving liquid glass, are anticipated to be brilliant [8] - Live translation in iMessage calls and through AirPods may be introduced [9] User Experience & Ecosystem - Simplifying the operating system will make it easier for the average consumer to follow [5] - New OS versioning aims to reduce confusion across different platforms [4] - Apple's ecosystem is self-contained, and new features will be revolutionary to its users [10][11] - Translation is a popular feature and will be well-received by Apple consumers [11][12] Market & Financial Outlook - Despite tariff uncertainty, a low single-digit growth is expected for Apple this year [13] - Apple's consumer segment is resilient even in times of uncertainty [13]

Product & Technology - Siri's capabilities are not meeting expectations compared to competitors [1] - Apple is introducing a new naming convention for operating system upgrades based on the year [2] - The seamless integration of Apple products is not enough to prevent analyst downgrades [3] - Apple's transition to incorporating AI, specifically Apple Intelligence, is lagging behind competitors like Google with Android [5] - Apple CarPlay's initial failure and the emergence of alternative operating systems in cars, like General Motors' system with Google, pose a challenge [6] Market & Analyst Sentiment - Analysts are questioning the reasons to buy the next set of Apple hardware [3] - The analyst community has largely fallen out of love with Apple due to upgrade cycle issues and being behind on AI [7] - Less than 60% of analysts are recommending to buy Apple stock at the moment, indicating negative sentiment [11] Challenges & Risks - Apple is facing challenges related to trade policy, including President Trump's demands for more US-based manufacturing [10] - The company faces potential regulatory issues related to monopolization in certain industries in the US [10] - The future of the App Store and potential curtailment of payment collection are concerns [8] - Supply chain headaches continue to be a challenge for Apple [9] - The potential loss of $20 billion annually from Google for maintaining Google search as the primary offering on Apple devices is a risk [8]