←Search results

By relevance · Total 74 results Clear search

Saturday

  1. Huxiu

    Developer uses Claude Code to mod a Xiaomi TV; the CleanYourTV open-source project gets about 13,700 stars

    Developer Gathin used Claude Code to connect to a Xiaomi TV over Wi-Fi, disabled 25 system components and rewrote a minimalist launcher, then open-sourced the prompts, launcher source code and troubleshooting notes as CleanYourTV, which gained about 13,700 stars within days. Another YouTuber, Ansub Khan, tested the TV Detox project and found it raised the TV's available memory from about 370MB to 600–650MB. The article notes that such tools can only clean system-level preinstalled packages and the official launcher, and cannot remove mid-roll ads or promotional pop-ups inside streaming apps, and mentions that the camera community is also using AI to restore hidden firmware features.

    Developer Gathin used Claude Code to connect to a Xiaomi TV over Wi-Fi, disabled 25 system components and rewrote a minimalist launcher, then open-sourced the prompts, launcher source code and troubleshooting notes as CleanYourTV, which gained about 13,700 stars within days. Another YouTuber, Ansub Khan, tested the TV Detox project and found it raised the TV's available memory from about 370MB to 600–650MB. The article notes that such tools can only clean system-level preinstalled packages and t

    Matched fieldsBody

Wednesday

  1. 9to5Mac

    9to5Mac reviews the iPhone Duo: the first iPhone in a foldable form factor

    9to5Mac editor Chance Miller reviewed Apple's first foldable iPhone Duo after a week of hands-on testing, arguing that this form factor represents the future of the iPhone. When unfolded, the iPhone Duo has a 7.6-inch inner screen; when folded, the outer screen is 5.4 inches. It weighs 254 grams, is 11.3mm thick when folded, is powered by the A20 Pro chip, and costs $1,999. The review notes that it replaces Face ID with Touch ID, lacks a telephoto lens, and that iOS 27 moves navigation controls to the right side and supports Split View on an iPhone for the first time.

    9to5Mac editor Chance Miller reviewed Apple's first foldable iPhone Duo after a week of hands-on testing, arguing that this form factor represents the future of the iPhone. When unfolded, the iPhone Duo has a 7.6-inch inner screen; when folded, the outer screen is 5.4 inches. It weighs 254 grams, is 11.3mm thick when folded, is powered by the A20 Pro chip, and costs $1,999. The review notes that it replaces Face ID with Touch ID, lacks a telephoto lens, and that iOS 27 moves navigation controls

    Matched fieldsBody

  2. Huxiu

    Developers use AI reverse engineering to run iOS 16 on Android phones such as Redmi

    Developer dipa-studio successfully booted and ran iOS 16.7.16 on a Redmi Note 10 Pro, able to enter the home screen, operate Settings and Control Center, and subsequently similar demonstrations appeared on devices such as the Redmi Note 12, Nothing Phone, and OnePlus 12. The porting process extensively used Claude and Codex to write driver adaptation code, and a reverse-engineering tool REA that automatically analyzes hardware interfaces also emerged. In the current version, cellular network, Bluetooth, camera, and speaker are all unavailable; GPU hardware acceleration has not been made to work, causing lag; booting takes 4 minutes; code signing verification and sandbox restrictions have also been relaxed; it is only suitable for early-adopter demonstrations.

    Developer dipa-studio successfully booted and ran iOS 16.7.16 on a Redmi Note 10 Pro, able to enter the home screen, operate Settings and Control Center, and subsequently similar demonstrations appeared on devices such as the Redmi Note 12, Nothing Phone, and OnePlus 12. The porting process extensively used Claude and Codex to write driver adaptation code, and a reverse-engineering tool REA that automatically analyzes hardware interfaces also emerged. In the current version, cellular network, Bl

    Matched fieldsBody

  3. Simon Willison

    Simon Willison built Battle Drones, an audio-networked RTS game, with Claude Code

    Simon Willison released Battle Drones, a real-time strategy game developed entirely through vibe coding with Claude Code. It went through 12 major versions and 321 commits and runs in mobile and desktop browsers. The game includes 9 building types, 7 ground vehicles, 6 air vehicles and 3 infantry units, and supports fog of war, random map generation, AI versus AI, and an Agent battle mode in which two LLMs fight each other. He also implemented a multiplayer method in which two devices synchronize game state via microphone audio, and because the audio caused headaches, he added online multiplayer based on a WebSockets relay server.

    Simon Willison released Battle Drones, a real-time strategy game developed entirely through vibe coding with Claude Code. It went through 12 major versions and 321 commits and runs in mobile and desktop browsers. The game includes 9 building types, 7 ground vehicles, 6 air vehicles and 3 infantry units, and supports fog of war, random map generation, AI versus AI, and an Agent battle mode in which two LLMs fight each other. He also implemented a multiplayer method in which two devices synchroniz

    Matched fieldsBody

Monday

  1. Google Developers Blog

    Google Developers Blog publishes ADK voice agent tutorial: using streaming tools to eliminate silence

    Google Developers Blog published a step-by-step tutorial on how to build a voice agent with ADK and gemini-3.8-live that does not stay silent for long periods. The core approach is to change tool functions from return to yield to make them streaming tools, or to use FunctionTool's response_scheduling to deliver results when idle; in the sales report benchmark flow, the agent's time to first speech dropped from 14.4 seconds to 1.2 seconds. The tutorial also covers the stop_streaming cancellation mechanism, preventing duplicate calls, and the trade-offs among the three scheduling modes WHEN_IDLE, INTERRUPT, and SILENT. It requires google-adk >= 2.10.0 and uses run_live bidirectional sessions.

    option4_minimal_flow_diagram_1600x900

    Google Developers Blog published a step-by-step tutorial on how to build a voice agent with ADK and gemini-3.8-live that does not stay silent for long periods. The core approach is to change tool functions from return to yield to make them streaming tools, or to use FunctionTool's response scheduling to deliver results when idle; in the sales report benchmark flow, the agent's time to first speech dropped from 14.4 seconds to 1.2 seconds. The tutorial also covers the stop streaming cancellation

    Matched fieldsBody

Tuesday

  1. AYi AI Notes

    Anthropic engineer shares Claude Code multi-agent orchestration playbook

    In a 30-minute workshop, an Anthropic engineer demonstrated an advanced use of Claude Code: running more than 100 agents simultaneously within one integrated loop, with 1 main agent in charge, while sub-agents act as project managers to break down tasks, distribute them, and cross-validate results. Based on this, the author suggests developers first use the main window to write task decomposition and acceptance rules, then spawn sub-agents to execute submodules concurrently. The author also warns that when a hundred agents run simultaneously, if termination conditions and permission boundaries are not hard-coded, it is easy to burn a large amount of tokens in an infinite loop, and beginners should start small with one main agent and three sub-agents.

    In a 30-minute workshop, an Anthropic engineer demonstrated an advanced use of Claude Code: running more than 100 agents simultaneously within one integrated loop, with 1 main agent in charge, while sub-agents act as project managers to break down tasks, distribute them, and cross-validate results. Based on this, the author suggests developers first use the main window to write task decomposition and acceptance rules, then spawn sub-agents to execute submodules concurrently. The author also warn

    Matched fieldsBody

Friday

  1. heise online

    RTX Spark laptop tested: How does Nvidia's first local AI laptop chip perform?

    heise online's c't 3003 tested the Asus ProArt P14, which is equipped with Nvidia's first laptop chip, the N1X (brand name RTX Spark). The machine supports up to 128 GB of unified memory; the test unit had 32 GB of memory plus a 1 TB SSD and cost 3,300 euros. In llama-bench tests with Qwen 3.8-27B, generation speed was about 14.5 tokens/s, slightly faster than Apple M6 and Strix Halo but slower than M5 Pro; with the MoE model Qwen 3.6-35B-A3B, it reached nearly 61 tokens/s. Prompt processing speed was better than Strix Halo and the M5 Pro and M6, but fan noise under full load reached up to 2.7 sone, and the fans also spin up when idle. The author also tried installing Ubuntu; after manually adding the drivers, both models ran 14% and 9% faster under Linux than under Windows.

    heise online's c't 3003 tested the Asus ProArt P14, which is equipped with Nvidia's first laptop chip, the N1X (brand name RTX Spark). The machine supports up to 128 GB of unified memory; the test unit had 32 GB of memory plus a 1 TB SSD and cost 3,300 euros. In llama-bench tests with Qwen 3.8-27B, generation speed was about 14.5 tokens/s, slightly faster than Apple M6 and Strix Halo but slower than M5 Pro; with the MoE model Qwen 3.6-35B-A3B, it reached nearly 61 tokens/s. Prompt processing spe

    Matched fieldsBody

  2. The Verge AI

    One week with RTX Spark laptops: How do gaming, local AI, and battery life perform?

    Three authors from The Verge spent a week testing five laptops powered by Nvidia's RTX Spark N1X chip, including the 128GB Surface Laptop Ultra, Asus ProArt P16, Lenovo Yoga 9n, and HP OmniBook Ultra, priced from $3,199.99 to $6,999.99. For gaming, medium settings plus DLSS Performance mode held a steady 60fps in most games, but CPU-bound scenarios such as Helldivers 2 struggled to hit that mark; the authors place its graphics performance roughly between the RTX 5070 and RTX 5060 Laptop GPU. The local AI experience still feels like a developer testing phase: generating a news briefing with Qwen3.8-27B took 10 minutes and consumed 10% of the battery, while battery life for web-based office work came in at around 5 hours.

    Three authors from The Verge spent a week testing five laptops powered by Nvidia's RTX Spark N1X chip, including the 128GB Surface Laptop Ultra, Asus ProArt P16, Lenovo Yoga 9n, and HP OmniBook Ultra, priced from $3,199.99 to $6,999.99. For gaming, medium settings plus DLSS Performance mode held a steady 60fps in most games, but CPU-bound scenarios such as Helldivers 2 struggled to hit that mark; the authors place its graphics performance roughly between the RTX 5070 and RTX 5060 Laptop GPU. The

    Matched fieldsBody

  3. Computerworld

    Surface Laptop Ultra review: NVIDIA RTX Spark's local AI performance

    The author tested Microsoft's Surface Laptop Ultra equipped with the NVIDIA RTX Spark N1X SoC. The top configuration of this machine features a 20-core Grace Arm CPU, a 6144-core Blackwell GPU, and 128GB of unified memory, with a starting price of $2,599.99. In the UL Procyon AI text generation test, it scored 2703, about 33% higher than the IdeaPad Pro 5 with an Intel Core Ultra X9 388H; MLPerf Flux 2 Klein 4B image generation reached 26.97 images per minute, about 2.7 times that of the latter. The author also used a local Qwen3.8-27B to drive the Hermes agent, which completed extracting benchmark charts from Excel and generating a Word report in about five minutes.

    The author tested Microsoft's Surface Laptop Ultra equipped with the NVIDIA RTX Spark N1X SoC. The top configuration of this machine features a 20-core Grace Arm CPU, a 6144-core Blackwell GPU, and 128GB of unified memory, with a starting price of $2,599.99. In the UL Procyon AI text generation test, it scored 2703, about 33% higher than the IdeaPad Pro 5 with an Intel Core Ultra X9 388H; MLPerf Flux 2 Klein 4B image generation reached 26.97 images per minute, about 2.7 times that of the latter.

    Matched fieldsBody

Tuesday

Thursday

  1. Chips and Cheese

    Benchmarking Windows 11 Prism Binary Translation: Performance Loss of x86-64 Programs on Arm

    Chips and Cheese author Chester Lam used Geekbench 7 to benchmark Windows 11's Prism binary translation, finding that x86-64 programs execute roughly twice as many aarch64 instructions after translation as they would natively, with performance losses of several generations across all cores. Testing was conducted on a Snapdragon X2 Elite Extreme X2E-96-100 laptop and on Neoverse N1 and N2 instances on Azure; even after bearing the translation losses, the Snapdragon's E-Cores and P-Cores still respectively outperformed the Neoverse N1 and N2. The author also examined the translated code in C:\Windows\XtaCache, noting that Prism performs unnecessary register spills and splits 256-bit AVX operations into multiple 128-bit NEON instructions.

    Chips and Cheese author Chester Lam used Geekbench 7 to benchmark Windows 11's Prism binary translation, finding that x86-64 programs execute roughly twice as many aarch64 instructions after translation as they would natively, with performance losses of several generations across all cores. Testing was conducted on a Snapdragon X2 Elite Extreme X2E-96-100 laptop and on Neoverse N1 and N2 instances on Azure; even after bearing the translation losses, the Snapdragon's E-Cores and P-Cores still res

    Matched fieldsBody