[{"content":"This week\u0026rsquo;s GitHub trending page is really about what you install for an agent, not as an agent. One repo is pure instructions — no application code — and still crossed a quarter-million stars. The other is a browser-automation MCP server that just shipped a plugin layer. Both install in one npx line, and both lean on the same idea that\u0026rsquo;s been spreading across the agent ecosystem this year: package an agent\u0026rsquo;s behavior the way you\u0026rsquo;d package a library, then let a one-line installer pull it into whatever coding assistant you happen to be running.\nmattpocock/skills Matt Pocock, known for his TypeScript teaching, publishes this repo of agent skills — folders of instructions and scripts that AI coding agents read and follow, rather than application code. At the time of writing it sits at 257,729 stars, having gained 13,419 stars this week alone. It\u0026rsquo;s MIT-licensed; the primary distribution mechanism is a shell-based installer. No release tag was visible on the repo page, so that detail is marked TBC.\nAccording to the README, the skills are built on real engineering experience: small, composable tools that get developers and AI agents speaking the same vocabulary, tighten code quality through feedback loops, and keep architecture consistent. They\u0026rsquo;re pitched as model-agnostic — usable with any AI model, not tied to one vendor.\nInstallation is the one-liner the README leads with:\n# As a Claude Code plugin claude plugins install mattpocock-skills # or, inside a session /plugin install mattpocock-skills # For other agents/tools npx skills@latest add mattpocock/skills # After installing /setup-matt-pocock-skills Who it\u0026rsquo;s for: senior developers who use Claude Code or Codex daily and are tired of re-explaining code-review conventions, naming, and architecture rules in every prompt.\nWhat makes the repo worth watching is less any single skill and more the packaging format itself. A skill is just a folder — a markdown file of instructions plus, optionally, scripts and reference material — that an agent can discover and load on demand instead of having the whole thing stuffed into a system prompt. That\u0026rsquo;s a small technical idea, but distributing it through a package-manager- style installer, with claude plugins install on one side and a generic npx skills@latest add on the other, is what let one person\u0026rsquo;s personal conventions grow into a quarter-million-star repository overall, with this week\u0026rsquo;s trending data alone showing another 13,419-star jump on top of that.\nSource: github.com/mattpocock/skills ChromeDevTools/chrome-devtools-mcp Built by the Chrome DevTools team, this is an MCP (Model Context Protocol) server that lets AI coding agents open a real Chrome browser to get performance traces, network and console debugging, and Puppeteer-based automation. It\u0026rsquo;s written in TypeScript under an Apache-2.0 license, with 51,455 stars at the time of writing (+1,014 this week).\nThe latest release, v1.9.0, shipped on September 8, 2026 — the day before this was checked. The release notes list an \u0026ldquo;Agent Plugins 1.0 package\u0026rdquo; and a new option to disable JavaScript-execution tools. Where Matt Pocock\u0026rsquo;s repo installs instructions, this release opens an extension slot on the tooling side.\nAdd it to your MCP client config:\n{ \u0026#34;mcpServers\u0026#34;: { \u0026#34;chrome-devtools\u0026#34;: { \u0026#34;command\u0026#34;: \u0026#34;npx\u0026#34;, \u0026#34;args\u0026#34;: [\u0026#34;-y\u0026#34;, \u0026#34;chrome-devtools-mcp@latest\u0026#34;] } } } A lighter, headless mode is also available:\n{ \u0026#34;mcpServers\u0026#34;: { \u0026#34;chrome-devtools\u0026#34;: { \u0026#34;command\u0026#34;: \u0026#34;npx\u0026#34;, \u0026#34;args\u0026#34;: [\u0026#34;-y\u0026#34;, \u0026#34;chrome-devtools-mcp@latest\u0026#34;, \u0026#34;--slim\u0026#34;, \u0026#34;--headless\u0026#34;] } } } Who it\u0026rsquo;s for: frontend and QA engineers who want an agent to open a real web app and debug performance or network issues on its own, instead of pasting console logs back and forth by hand.\nThe two config blocks above are the whole setup — no build step, no separate binary to manage, because npx -y chrome-devtools-mcp@latest always pulls the current published version. The --slim --headless flags matter for CI or for running the server on a machine without a display: slim mode trims the tool surface down to the essentials so the agent isn\u0026rsquo;t offered debugging commands it can\u0026rsquo;t usefully call in a headless context.\nSource: github.com/ChromeDevTools/chrome-devtools-mcp, releases page Wrap-up Both READMEs lead with a single install command — one for instructions, one for tooling — and both landed on trending the same week. It\u0026rsquo;s worth noting this isn\u0026rsquo;t happening in just one corner of the ecosystem: OpenAI runs its own openai/skills catalog for Codex (MIT-style per-skill licensing, an skill-installer CLI, though that particular repo now points users to a newer OpenAI Plugins repository instead). Anthropic, OpenAI, and now a browser-tooling project maintained by the Chrome DevTools team are all converging on the same shape: package agent behavior — instructions or tools — as an installable unit, and let a one-line command wire it into whichever assistant a developer happens to run that day.\nRepo Stars (checked) Gained this week License mattpocock/skills 257,729 +13,419 MIT ChromeDevTools/chrome-devtools-mcp 51,455 +1,014 Apache-2.0 ","permalink":"https://yjworks.github.io/en/2026/09/10/dev-mattpocock-skills-chrome-devtools/","summary":"This week\u0026rsquo;s GitHub trending list pairs Matt Pocock\u0026rsquo;s agent-skills repo, which crossed a quarter-million stars, with Chrome DevTools MCP v1.9.0, which just added a plugin system for agents.","title":"Matt Pocock's Skills: One Line, No Code"},{"content":"CNX Software covered YuzukiNeko on September 8, and it\u0026rsquo;s an unusual board: same 2x20-pin form factor as a Raspberry Pi Pico, but instead of a microcontroller it carries an application processor that runs Linux. Pico-sized boards have so far been strictly microcontroller territory. This one breaks that pattern and adds display and video capability on top.\nYuzukiNeko Spec Detail SoC Allwinner F101S3, single XuanTie C907 RISC-V core Clock 1.008GHz Memory 16MiB PSRAM Storage 16MiB external NOR flash (XIP-capable) + microSD slot Connectors USB-C, FEL button, two 2x20-pin Pico-style headers Display RGB888, LVDS, 4-lane MIPI DSI Video JPEG/PNG decode, JPEG/MJPEG encode Audio DAC, I2S/PCM, OWA output OS Linux, Zephyr RTOS License Hardware design released under CC0 1.0 (public domain) Price / availability TBC — not yet on sale (TBC) The F101S3 SoC itself was designed as a \u0026ldquo;smart control and display processor\u0026rdquo; aimed at display and audio workloads. Pairing it with PSRAM and NOR flash, then booting Linux on it, is what turns a Pico-shaped board into a real application processor rather than a microcontroller.\nThe CPU core is worth a second look, too. XuanTie C907 comes from T-Head, the chip design arm behind several of the RISC-V cores already shipping in Allwinner\u0026rsquo;s lineup. Putting one into a board this small, at this price class, is part of a broader pattern: RISC-V application cores are trickling down from mid-range SoCs into hobbyist form factors that used to be exclusively Arm or microcontroller-only. YuzukiNeko is a small but concrete data point for that trend, not a one-off curiosity.\nThe embedded angle Memory ceiling: 16MiB of PSRAM is tight for Linux. This is Buildroot- or OpenWRT-class minimal-userland territory, not a desktop distro. Power: USB-C is confirmed as the power connector, but the exact input voltage and current range aren\u0026rsquo;t published (TBC). No thermal figures are available yet either. Connectors: two 2x20-pin headers raise the possibility of drop-in compatibility with existing Pico carrier boards, but whether the pinout actually matches RP2040/RP2350 is not officially confirmed. On a robot or piece of equipment: MIPI DSI and video decode make it plausible for a small status display or a simple camera preview, but for deterministic real-time control, a microcontroller still beats a single-core Linux board. YuzukiNeko vs Raspberry Pi Pico 2 Same footprint, very different character once you put the two side by side.\nSpec YuzukiNeko Raspberry Pi Pico 2 Form factor Pico-style 2x20-pin Pico-style 2x20-pin CPU 1x XuanTie C907 RISC-V, 1.008GHz 2x Cortex-M33 + 2x Hazard3 RISC-V, 150MHz Memory 16MiB PSRAM 520KiB on-chip SRAM Onboard storage 16MiB external NOR flash 4MB onboard flash Display output RGB888 / LVDS / MIPI DSI None Runtime Linux, Zephyr RTOS Bare metal, MicroPython, CircuitPython Price TBC $5 (confirmed, always in stock) By raw capacity, YuzukiNeko dwarfs the Pico 2, but the memory types aren\u0026rsquo;t the same (PSRAM vs. on-chip SRAM). And the Pico 2\u0026rsquo;s 150MHz dual-core setup is a microcontroller built for deterministic real-time control, while YuzukiNeko\u0026rsquo;s 1.008GHz single core exists to run Linux — clock speed alone doesn\u0026rsquo;t make one \u0026ldquo;faster\u0026rdquo; than the other. These are different classes of board doing different jobs.\nPros, cons, and who it\u0026rsquo;s for Pros: it\u0026rsquo;s the only board that puts Linux and display output into a Pico-sized footprint. The hardware design is fully open under CC0, so derivative boards are free to build.\nCons: it\u0026rsquo;s pre-release, so price, purchase channel, and power specs are all unconfirmed. Real-world reliability and performance on PSRAM-backed memory still need verification once hardware ships.\nWho it\u0026rsquo;s for: maker and DIY projects that want a small display or camera preview while keeping the Pico footprint, and embedded developers who want to study an open RISC-V hardware design firsthand. For real-time actuator control on a robot, a microcontroller like the Pico 2 remains the better fit.\nIt\u0026rsquo;s also worth flagging who it is not for, at least yet. Anyone who needs a bill of materials, a firm ship date, or a vendor to buy from today should wait — none of that exists publicly right now. The CC0 release means the schematics and board files can be picked up and cloned by anyone, which is exactly how a lot of small RISC-V boards from Chinese SoC vendors reach a wider audience: not through a single official retailer, but through community fabrication runs once the design settles.\nKorea availability No Korean distribution or launch plans have surfaced — this is an open-hardware project release, not a commercial product announcement yet (TBC). Once it goes on sale, overseas retailers like AliExpress are the most likely first purchase channel.\nVerdict YuzukiNeko is close to the first board to break the \u0026ldquo;Pico-sized means microcontroller\u0026rdquo; assumption. But it\u0026rsquo;s still a pre-release prototype with no confirmed price or power specs — the next step is real hardware proving PSRAM-backed Linux actually runs reliably.\nSources: CNX Software, 2026-09-08, Open Source For You, 2026-09, Raspberry Pi official announcement - Pico 2\n","permalink":"https://yjworks.github.io/en/2026/09/09/embedded-yuzukineko-risc-v-pico/","summary":"YuzukiNeko is an open-hardware RISC-V board shaped exactly like a Raspberry Pi Pico, but it runs Linux instead of bare-metal firmware. Here\u0026rsquo;s how it compares to the Pico 2.","title":"YuzukiNeko, Pico's Size With a Linux Brain"},{"content":"Xiaomi officially unveiled its first wide-format book-style foldable, the Xiaomi 18 Fold, in China on September 7. Built around an in-house chip, a Leica-tuned triple camera, and a 6000mAh battery, it\u0026rsquo;s a direct challenge to the big-foldable segment Samsung\u0026rsquo;s Galaxy Z Fold line has held for years.\nBig foldables have improved steadily since the category started, but two numbers barely moved: battery capacity and folded thickness. Samsung\u0026rsquo;s Galaxy Z Fold line has shipped with roughly the same 4400mAh cell since the Z Fold3, and most rivals in the segment have stayed in that same range because the folding hinge and dual-screen stack leave little room for a bigger cell. The Xiaomi 18 Fold is the first phone in the category to break that pattern this decisively, pairing a much larger battery with a body that\u0026rsquo;s actually thinner than most non-folding flagship phones when unfolded.\nXiaomi 18 Fold Spec Detail Cover display 5.38-inch AMOLED, 1712×1168, 120Hz Inner display 7.58-inch flexible AMOLED, 2364×1672, 120Hz Chipset Xring O3 (Xiaomi in-house, 10-core CPU / 16-core GPU) Memory Up to 16GB RAM; the 1TB variant uses LPDDR6 Cameras Leica-tuned, 200MP main + 50MP ultrawide + 50MP periscope telephoto Battery 6000mAh Thickness 5.02mm unfolded / 10.68mm folded Weight 219g Price (China) 16GB+512GB ¥12,999, 16GB+1TB ¥14,999, ceramic 16GB+1TB ¥15,999 Sales start September 10 (China) The base configuration starts at ¥12,999. Whether the phone will reach markets outside China, including Korea, has not been confirmed. The Xring O3 chip is notable on its own: it\u0026rsquo;s Xiaomi\u0026rsquo;s own silicon rather than a licensed Qualcomm or MediaTek part, and the 1TB configuration is among the first phones anywhere to pair it with LPDDR6 memory, a generation ahead of the LPDDR5X still used in most 2026 flagships. Neither the chip\u0026rsquo;s real-world performance nor its thermal behavior inside a folding chassis — where heat has less room to dissipate than in a slab phone — has been independently benchmarked yet.\nRival comparison: Galaxy Z Fold7 Spec Xiaomi 18 Fold Galaxy Z Fold7 Cover display 5.38-inch, 120Hz 6.5-inch FHD+, 120Hz Inner display 7.58-inch, 120Hz 8.0-inch QXGA+, 120Hz Chipset Xring O3 (in-house) Snapdragon 8 Elite for Galaxy Battery 6000mAh 4400mAh Main camera set 200MP + 50MP ultrawide + 50MP tele 200MP + 12MP ultrawide + 10MP tele Thickness (unfolded) 5.02mm TBC Weight 219g TBC Starting price ¥12,999 (China) $1,999 (US) On paper, the Xiaomi 18 Fold leads on battery capacity and camera resolution. But the Galaxy Z Fold7 is already sold in multiple markets with Samsung\u0026rsquo;s water/dust-resistance certification and established after-sales support, while the Xiaomi 18 Fold\u0026rsquo;s launch so far is China-only, with no global distribution or service network confirmed yet.\nThe camera gap is worth a closer look. Both phones use a 200MP main sensor, but the Xiaomi 18 Fold pairs it with a 50MP ultrawide and a 50MP periscope telephoto, versus the Galaxy Z Fold7\u0026rsquo;s 12MP ultrawide and 10MP telephoto. On paper that\u0026rsquo;s a meaningful jump in resolution for the two secondary lenses, though resolution alone doesn\u0026rsquo;t settle image quality — sensor size, lens aperture, and Xiaomi\u0026rsquo;s Leica color tuning versus Samsung\u0026rsquo;s own processing pipeline all matter, and neither camera has been tested side by side yet. The battery gap is more straightforward: 6000mAh against 4400mAh is a roughly 36% increase, which should translate into a noticeably longer day of use, assuming the Xring O3 chip doesn\u0026rsquo;t offset the gain with higher power draw.\nStrengths and weaknesses Strengths\nA 6000mAh battery is a big jump for a big foldable, a segment that has been stuck near 4400mAh. At 5.02mm unfolded, it\u0026rsquo;s slimmer than most phones in its class. The Leica triple-camera setup is unusually capable for a foldable. Weaknesses\nNo confirmed plan for global or Korean availability, so purchase access is uncertain for most readers. Water-resistance rating and hinge-durability certification are absent from the launch materials and remain unverified. Real-world performance and thermals of the new in-house Xring O3 chip haven\u0026rsquo;t been benchmarked independently yet. Who it\u0026rsquo;s for: buyers in China who want the biggest battery and thinnest body currently available in a foldable will find this an easy pick. Buyers elsewhere who value confirmed water resistance, hinge durability, and local after-sales support are still better served by the Galaxy Z Fold7 for now.\nKorea availability No Korean launch plan for the Xiaomi 18 Fold has been confirmed (TBC). Xiaomi\u0026rsquo;s foldable lineup has so far stayed centered on the domestic Chinese market.\nVerdict The Xiaomi 18 Fold tackles two of the foldable category\u0026rsquo;s long-standing weak points — battery size and thickness — in one device, and on spec sheets it beats the Galaxy Z Fold7 in several areas. But global distribution and durability verification are still open questions, so it\u0026rsquo;s worth waiting for an official international launch before treating it as a buying option.\nSources:\nXiaomi 18 Fold Launched: Price, specs and features - SoyaCincau Xiaomi 18 Fold gets its first official look ahead of September 7 launch - GSMArena Xiaomi Just Launched Its First Wide Foldable - Android Headlines Samsung Galaxy Z Fold7 - Samsung US ","permalink":"https://yjworks.github.io/en/2026/09/08/phone-xiaomi-18-fold/","summary":"Xiaomi has officially launched its first wide-format foldable, the Xiaomi 18 Fold, in China. A 6000mAh battery and a slimmer hinge put it in direct comparison with Samsung\u0026rsquo;s Galaxy Z Fold7.","title":"Xiaomi 18 Fold: A Thinner Body, a Bigger Battery"},{"content":"Two robot vacuum makers gave two different answers at IFA 2026 in Berlin. Roborock leaned on suction power and a chassis that climbs over thresholds; Ecovacs leaned on keeping the mop pad hygienic while it runs. Both launched in the same week at the same show, which makes them worth comparing spec by spec.\nRoborock Saros 20 Flow Complete / Neo (Qrevo Edge 3 Pro) Suction: 36,000Pa (HyperForce motor) Obstacle avoidance: Reactive AI, recognizes 300+ distinct object types Chassis: AdaptiLift — the robot lifts its own body to clear obstacles and thresholds up to 8.8cm high, and can still squeeze under furniture with as little as 7.95cm of clearance Runtime: up to roughly 350㎡ of coverage per charge (Neo / Qrevo Edge 3 Pro) Price: Qrevo Edge 3 Pro is $1,499.99–$1,500 in the US. Flow Complete\u0026rsquo;s US price is TBC Launch: announced Sept 2–4 at IFA. Flow Complete ships in the US around November 2026 (price not yet announced). In Korea, Flow Complete launches Sept 20 alongside the F25 Pro Turbo Combo and F25 Ultra Steam Gen2 (Korean pricing TBC) Roborock also showed the Saros Rover, a wheel-legged concept robot that attempts to move between floors and clean individual stair steps. It made its European debut at IFA; no price or release date yet. Sources: Ubergizmo, Engadget, Basic-Tutorials The competitor: Ecovacs Deebot X12S OmniCyclone Suction: 27,000Pa, a 23% increase over the previous X12 Battery: 4,000mAh, up to 497 minutes of continuous runtime Mop: a roller-style mop that is continuously rinsed while the robot runs, then self-cleaned at the dock. The dock itself is a bagless OmniCyclone design Price: $1,299.99 Launch: announced Sept 4 at IFA. Korean launch timing is TBC Source: 9to5Toys Neither company had the floor to itself. Dyson used the same week to push its own Nurovi lineup: the R2 Nurovi Wash+Dry launched Sept 3 as a Costco exclusive in the US, with the R3 Nurovi Spot+Scrub UV following on Sept 15. Dyson hasn\u0026rsquo;t published a suction figure that lines up cleanly with Roborock\u0026rsquo;s or Ecovacs\u0026rsquo; Pa ratings, so it\u0026rsquo;s mentioned here as market context rather than a third contender in the spec comparison below. (Source: VacuumWars)\nHead to head Spec Roborock Qrevo Edge 3 Pro Ecovacs X12S OmniCyclone Suction 36,000Pa 27,000Pa Signature feature AdaptiLift chassis (clears 8.8cm thresholds) Continuously-rinsed roller mop Runtime ~350㎡ per charge Up to 497 minutes US price $1,499.99–$1,500 $1,299.99 Korea launch Sept 20 (Flow Complete; price TBC) TBC Trade-offs and who each one fits Roborock\u0026rsquo;s number is bigger on paper, and the AdaptiLift chassis is specifically built to get over thresholds and rug edges without help — a real advantage in Korean apartments, which tend to have more raised thresholds between rooms than typical US or European floor plans. The catch is a roughly $200 higher price and no confirmed Korean price yet, so a final verdict has to wait.\nEcovacs trails on raw suction, but a mop that gets rinsed continuously while it\u0026rsquo;s still cleaning is a concrete, practical difference for households that mop often — especially ones with pets, where a dirty mop pad being dragged around the floor is the actual complaint. It\u0026rsquo;s also $200 cheaper.\nBoth robots use lidar-based obstacle avoidance, but Roborock is the only one that put a number on it (300+ recognized object types); Ecovacs hasn\u0026rsquo;t published an equivalent figure for this launch, so a direct comparison on avoidance accuracy isn\u0026rsquo;t possible yet.\nThere\u0026rsquo;s also a naming wrinkle worth flagging before anyone shops by model name: the same underlying hardware that Roborock sells internationally as the Saros 20 Neo is badged Qrevo Edge 3 Pro in the US, while the Flow Complete is a separate, higher-tier model in the same family that\u0026rsquo;s getting the Korean launch. If you\u0026rsquo;re comparing prices across regions, check the exact model number, not just the \u0026ldquo;Saros 20\u0026rdquo; family name.\nAvailability in Korea Roborock\u0026rsquo;s Saros 20 Flow Complete has a confirmed Korean launch date of Sept 20, alongside the F25 Pro Turbo Combo and F25 Ultra Steam Gen2, though Korean pricing hasn\u0026rsquo;t been announced. Ecovacs has not confirmed a Korean launch date or price for the Deebot X12S OmniCyclone.\nVerdict At equal pricing, Roborock\u0026rsquo;s suction and threshold-clearing chassis make it the better fit for Korean homes. But with a $200 gap and no Korean price yet, households that prioritize mop hygiene have a reasonable case for waiting on Ecovacs\u0026rsquo; Korean launch details instead. The stair-climbing Saros Rover is still a concept and didn\u0026rsquo;t factor into this comparison, but it\u0026rsquo;s worth watching as a sign of where robot vacuums go next.\n","permalink":"https://yjworks.github.io/en/2026/09/07/appliance-roborock-saros20-ecovacs-x12s/","summary":"Roborock\u0026rsquo;s Saros 20 lineup and Ecovacs\u0026rsquo; Deebot X12S OmniCyclone both launched at IFA 2026. We compare suction power, obstacle-clearing chassis design, mop hygiene, and price.","title":"Roborock Pulls Harder, Ecovacs Rinses Cleaner"},{"content":"On the last day of the first week of September, Samsung\u0026rsquo;s Galaxy S26 FE officially went on sale in Korea. Abroad, a brainwave-reading wearable called Atlas 1.0 already started shipping, and in software, Upstage\u0026rsquo;s large open model Solar Open2-250B was the talk of the week. None of the three is a dramatic leap on its own, but together they sketch where each part of the market is spending its effort right now: Samsung repackaging known hardware at a lower price, a small hardware maker pushing into an unproven sensor category, and Korean AI labs racing to field their own large open models alongside global names. Links to this week\u0026rsquo;s earlier deep dives on an embedded board, a GitHub pick, and a wearable are collected at the bottom.\nKorea Samsung Galaxy S26 FE Chipset: Exynos 2500 Memory/storage: 8GB RAM, 128GB or 256GB Display: 6.7-inch AMOLED, 2340×1080, 120Hz Cameras: 50MP main + 8MP ultrawide + 8MP 3x telephoto (rear), 12MP (front) Battery: 4,900mAh Build: 161.6×76.9×7.4mm, aluminum frame, IP68 Colors: Blueberry, Graphite, Pistachio Price: KRW 1,045,000 for 256GB (128GB price TBC) Release: unveiled August 27, on sale in Korea from September 4 through Samsung Store, Samsung.com, and carrier stores Take: an Exynos 2500 and 8GB of RAM is the same combination the mainline Galaxy S series already shipped last year, so the FE is doing exactly what an FE is supposed to do — selling last year\u0026rsquo;s flagship at today\u0026rsquo;s price. Keeping IP68 and an aluminum frame while dropping into the low-1-million-won range is the actual news here; this is a phone for buyers prioritizing durability and price over the newest camera or AI features. The triple rear camera setup (50MP main, 8MP ultrawide, 8MP 3x telephoto) also matches last year\u0026rsquo;s tier rather than this year\u0026rsquo;s flagship, which is consistent with how Samsung has positioned every FE model since the line started: recent flagship silicon and design, but camera hardware and RAM held back a generation to hit a lower price point. Sources: 9to5Google, GSMArena, Edaily, Gukje News Global Atlas 1.0 (Brain Wearable) Category: EEG-based wearable Price: $499 Release: went on sale September 1 (local time) Sensor channel count, battery life, companion app, and data-processing approach: TBC Take: consumer EEG wearables are still an unproven category — accuracy claims and real use cases haven\u0026rsquo;t been independently verified yet. A $499 price tag alone doesn\u0026rsquo;t tell you whether this is a genuine multi-channel EEG device or a simplified focus-tracking gadget, so the specs are worth treating with caution until hands-on reviews and clinical backing show up. The broader pattern worth watching is that \u0026ldquo;brain wearables\u0026rdquo; keep launching at consumer price points well before the underlying signal-processing claims get third-party validation — the same caution that applied to earlier sleep- and focus-tracking headbands applies here. Source: Gear Patrol Software Solar Open2-250B (Upstage) Developer: Upstage (South Korea) Scale: 250B parameters (per the model name) Purpose: high-performance enterprise reasoning, open deployment License, exact release date, and benchmark numbers: TBC On-device: a 250B-class model can\u0026rsquo;t run on a laptop or edge device even in a quantized form — it assumes server or cloud deployment with multiple accelerators, which puts it in a different bracket from the smaller on-device models this blog usually covers on Thursdays Take: this week saw a wave of large open models land at once. Z.ai\u0026rsquo;s GLM-5.2 is drawing attention as a mixture-of-experts model tuned for coding, math, and agent tasks; DeepSeek-V4-Flash is being adopted for low-latency assistants and coding tools; and Moonshot AI\u0026rsquo;s Kimi-K3 is positioned for long-context, document-heavy RAG pipelines. Among that group, Upstage\u0026rsquo;s entry is the one most likely to show up in Korean enterprise software stacks, given the company\u0026rsquo;s existing customer base here. Adoption decisions should still wait until the license and real benchmark numbers are confirmed — a parameter count in a model\u0026rsquo;s name is not a substitute for an independent evaluation. Source: Tech AI Magazine This Week at a Glance Product Category Region Key specs Price Release Galaxy S26 FE Smartphone Korea Exynos 2500, 6.7\u0026quot;, 4,900mAh KRW 1,045,000 (256GB) Sep 4 Atlas 1.0 AI wearable Global EEG-based sensor $499 Sep 1 Solar Open2-250B Open-source LLM Software 250B parameters Open model TBC This Week on DigitalBrain Jetson Orin Nano 2: the 2x that isn\u0026rsquo;t MiniMind Thinks Small, God\u0026rsquo;s Eye Sees Big Huawei Watch 6: Brighter Screen, Narrower World ","permalink":"https://yjworks.github.io/en/2026/09/04/brief-galaxy-s26-fe-atlas/","summary":"Samsung\u0026rsquo;s Galaxy S26 FE went on sale in Korea at KRW 1,045,000, a brainwave-reading wearable called Atlas 1.0 launched abroad, and Upstage\u0026rsquo;s large open model Solar Open2-250B drew attention in software.","title":"Galaxy S26 FE Costs Less, a Wearable Reads More"},{"content":"Two repositories climbed GitHub\u0026rsquo;s trending chart this week heading in opposite directions. One shrinks a language model down to something you can train on a single desktop GPU; the other pulls the planet\u0026rsquo;s live data feeds into one browser tab. Here\u0026rsquo;s a closer look at both, picked with on-device AI and developer tooling in mind — the kind of projects worth cloning on a weekend rather than just reading about.\nMiniMind Repo: jingyaogong/minimind License: Apache License 2.0 Language: Python Stars: 57,757 (at time of writing), +1,949 this week Latest release: minimind-3 / minimind-3-moe (2026-04-01) MiniMind trains a 64-million-parameter language model from scratch using plain, unwrapped code instead of a heavyweight framework. The README pegs the cost at roughly 3 yuan (about $0.43) and two hours on a single RTX 3090 (24GB). Both the training and inference scripts are short enough to read end to end, which makes this a project for developers who actually want to trace what happens inside a transformer training loop rather than call an API.\ngit clone --depth 1 https://github.com/jingyaogong/minimind cd minimind \u0026amp;\u0026amp; pip install -r requirements.txt # Inference python eval_llm.py --load_from ./minimind-3 # Training cd trainer \u0026amp;\u0026amp; python train_pretrain.py cd trainer \u0026amp;\u0026amp; python train_full_sft.py On C-Eval and CMMLU the base model scores 24.89% and 25.38% respectively; on English benchmarks (ARC, PIQA, OpenBookQA, HellaSwag, SocialIQA) scores range from roughly 23% to 50% depending on the task, per the README. A LoRA-aligned variant, minimind-3-exam, adds about 2.9 percentage points on top of that. At 64M parameters this isn\u0026rsquo;t production-grade output — it\u0026rsquo;s a teaching tool, best suited to students and engineers who want to build LLM training intuition line by line rather than deploy something.\nWhat makes this worth a look isn\u0026rsquo;t the benchmark numbers, which are modest by design, but the fact that the entire stack — tokenizer, pretraining loop, supervised fine-tuning, and evaluation — fits in a repository small enough to read in an afternoon. Most public LLM training code lives inside large frameworks that hide the actual mechanics behind configuration files and abstraction layers. MiniMind strips that away, so a single RTX 3090 and a couple of hours are enough to watch loss curves move and see exactly which line of code caused it. That tradeoff — clarity over capability — is the whole pitch.\nGod\u0026rsquo;s Eye View Repo: bilawalsidhu/gods-eye-view License: MIT Language: JavaScript Stars: 16,070, +12,042 this week (the single biggest weekly gain on the trending page) Latest release: TBC — the repo ships by commit rather than tagged releases God\u0026rsquo;s Eye View is a browser-based spatial-intelligence dashboard that layers public real-time data onto a photorealistic 3D globe: aircraft from OpenSky Network and adsb.lol, vessels from AISStream, satellites from CelesTrak, earthquakes from USGS, wildfires from NASA FIRMS, launch schedules from Launch Library 2, city CCTV feeds, and geolocated radio stations. Basemaps come from Cesium ion, Google Maps, Esri, and OpenStreetMap.\nnpm install npm run doctor npm run dev # open http://localhost:4173 It can also be installed through Pinokio by pasting the repo URL into the Discover tab. This is worth a look for frontend developers who want to build a live tracking dashboard without standing up a dedicated GIS stack, or anyone looking for a side project built entirely on public data APIs. As a pure open-source tool, there\u0026rsquo;s no Korea-specific launch or pricing angle to report here.\nThe interesting engineering problem here isn\u0026rsquo;t the 3D rendering — Cesium already handles that — it\u0026rsquo;s normalizing a dozen unrelated data sources with different rate limits, coordinate systems, and update frequencies into one coherent scene. A satellite feed from CelesTrak refreshes on a very different cadence than an OpenSky aircraft ping, and the repo\u0026rsquo;s real contribution is the plumbing that keeps all of it in sync without the browser choking. That\u0026rsquo;s also the biggest weekly star gain on this week\u0026rsquo;s entire trending page, ahead of every other repository — a sign that \u0026ldquo;open data, one screen\u0026rdquo; is resonating well beyond the GIS niche it started in.\nWrap-up These two projects pull in opposite directions but teach a similar lesson. MiniMind shrinks the model so you can actually see the training process; God\u0026rsquo;s Eye View stitches together a dozen public APIs so you can see what\u0026rsquo;s possible when you compose data instead of building it from scratch. Both repos run as-is — clone whichever one matches what you\u0026rsquo;re curious about and try it.\n","permalink":"https://yjworks.github.io/en/2026/09/03/dev-minimind-gods-eye-view/","summary":"This week\u0026rsquo;s GitHub trending list pairs MiniMind, a 64M-parameter language model you can train in two hours, with God\u0026rsquo;s Eye View, a browser-based 3D globe streaming live satellite, flight, and shipping data.","title":"MiniMind Thinks Small, God's Eye Sees Big"},{"content":"Huawei used IFA 2026\u0026rsquo;s media days (September 2-3) to unveil the Watch 6 and Watch 6 Pro, and much of the coverage frames it as a direct answer to Google\u0026rsquo;s Pixel Watch 5, launched three weeks earlier. The same event brought a crowded wearables lineup: TECNO showed its Watch 4 and Buds 5, Huawei also refreshed the Watch GT 7, and Samsung, Withings, RingConn and Ultrahuman are all expected on the show floor. Amid that crowd, the Watch 6 stands out on brightness and case materials, but the numbers that actually decide day-to-day usability — battery life, water resistance — weren\u0026rsquo;t part of this week\u0026rsquo;s announcement.\nSource: Gadgets \u0026amp; Wearables Huawei Watch 6 / Watch 6 Pro Spec Watch 6 Watch 6 Pro Case 42mm / 46mm Ceramic or titanium Weight / thickness 38g, 10.2mm (lightest configuration) TBC Display OLED (brightness TBC) OLED, up to 3,500 nits Sensors Standard health sensor suite ECG, upgraded X-Tap sensor Battery TBC TBC Water resistance TBC TBC OS / compatibility Huawei\u0026rsquo;s own OS stack, works with iOS and Android (version TBC) Same Price (UK) £399.99 £599.99 Availability UK sales from September 23; £50 off if purchased Sep 23–Oct 26 Same Huawei\u0026rsquo;s own weight and thickness figures aren\u0026rsquo;t tied to a specific case size in the launch material, so we\u0026rsquo;re labeling them \u0026ldquo;lightest configuration\u0026rdquo; rather than assigning them to one model. Battery capacity and water-resistance rating were not disclosed in this week\u0026rsquo;s announcement, which is notable because those two numbers are usually the first thing Huawei leads with on its GT line — the GT 6 series, launched in Korea back in May, was marketed heavily around up to 21 days of battery life. Their absence here suggests Huawei may still be finalizing those figures, or is saving them for a later regional rollout.\nThe Pro model\u0026rsquo;s headline sensor is described as an \u0026ldquo;improved X-Tap sensor,\u0026rdquo; which implies a previous version exists in Huawei\u0026rsquo;s lineup, but exactly what changed — which metrics it adds or how accuracy improved — wasn\u0026rsquo;t detailed in the sources available this week. Until Huawei publishes a fuller spec sheet, treat that claim as directional rather than measured.\nSources: TechAdvisor, Gizmochina, Android Headlines Vs. Pixel Watch 5 Spec Huawei Watch 6 Google Pixel Watch 5 Announced September 2, 2026 (IFA) August 12, 2026 (Made by Google) Case sizes 42mm / 46mm 41mm / 45mm Storage TBC 64GB (double the previous generation) Coprocessor TBC Cortex-M55 Health features ECG (Pro), X-Tap sensor Blood pressure trends, breathing emergency detection, cloud-assisted GPS (Google claims 2x accuracy) OS ecosystem Huawei\u0026rsquo;s own OS, no Google Mobile Services Wear OS, full Google service integration Price £399.99 / £599.99 $399–$529 (41/45mm, WiFi/LTE), Special Edition $579 Both watches arrived as their maker\u0026rsquo;s flagship reveal for the season — Huawei\u0026rsquo;s at IFA, Google\u0026rsquo;s at its own hardware event three weeks prior. The real divide isn\u0026rsquo;t the spec sheet, though: Pixel Watch 5 runs Wear OS with full access to Google\u0026rsquo;s app ecosystem, while Watch 6 runs on Huawei\u0026rsquo;s own OS without Google Mobile Services. An Android phone owner expecting Google Maps or Assistant on their wrist should not assume Watch 6 will deliver that, and an iPhone owner should check compatibility details carefully before assuming full feature parity with Apple\u0026rsquo;s own watch software.\nSources: Droid-Life, GSMArena Trade-offs and who it\u0026rsquo;s for Strengths: The Watch 6 Pro\u0026rsquo;s 3,500-nit display is among the brightest in this price bracket, which should matter a lot for outdoor legibility in direct sunlight. The ceramic/titanium case options look more premium than most competitors at this price, and the ECG/X-Tap sensor pairing gives the Pro model a health-tracking angle beyond what a standard optical heart-rate sensor offers. Weaknesses: No Google Mobile Services makes it a harder sell for anyone who relies daily on Google Maps, Assistant, or Calendar on their wrist. Key numbers — battery life, water resistance — aren\u0026rsquo;t public yet, so real-world stamina during workouts or swimming is still unverified. Best for: People already using a Huawei phone or Huawei\u0026rsquo;s app ecosystem, or anyone who prioritizes screen brightness and case materials over ecosystem convenience. If you\u0026rsquo;re Google-service-dependent on Android, the Pixel Watch 5 remains the safer, better-integrated pick. Regional availability There was no confirmation of Korean availability for the Watch 6 or Watch 6 Pro in this week\u0026rsquo;s launch material. Huawei\u0026rsquo;s Korean unit launched the separate, golf-focused Watch GT 6 series domestically back in May, so the local distribution channel exists, but the Watch 6 is a distinct mainstream lineup from the GT line — its Korean launch, pricing, and timing all remain TBC. Converting the UK price (£399.99 / £599.99) into won to guess a local price would be speculation; waiting for an official announcement is the safer read.\nSources: Digital Chosun, Asia Economy Verdict The Huawei Watch 6 leads with a bright display and premium materials, but it hasn\u0026rsquo;t shown its hand on the basics — battery life and water resistance — yet. Given how many rivals launched in the same week (Pixel Watch 5, TECNO Watch 4, and more still to come at IFA), this announcement looks like the opening move of the season\u0026rsquo;s spec race, not the final word. If you\u0026rsquo;re already inside Google\u0026rsquo;s ecosystem, there\u0026rsquo;s little reason to switch. If you\u0026rsquo;re a Huawei app user, the Pro model\u0026rsquo;s display alone is a real reason to consider it. We\u0026rsquo;ll revisit this once the missing numbers — and a Korean launch decision — are public.\n","permalink":"https://yjworks.github.io/en/2026/09/03/wearable-huawei-watch-6/","summary":"Huawei\u0026rsquo;s IFA 2026 launch of the Watch 6 and Watch 6 Pro, compared against Google\u0026rsquo;s Pixel Watch 5 on specs, price, and ecosystem lock-in.","title":"Huawei Watch 6: Brighter Screen, Narrower World"},{"content":"NVIDIA announced the Jetson Orin Nano 2 on August 25, with the module and developer kit expected in the first half of 2027. The headline is \u0026ldquo;2x inference performance,\u0026rdquo; which reads like a generational jump. Line up the specs against the board it replaces and the picture is more specific than that, and the numbers that matter for a robot build are not the ones in the headline.\nSide by side Orin Nano 2 (new) Orin Nano Super (current) AI compute 78 TOPS 67 TOPS GPU Ampere, 1,536 CUDA cores Ampere, 1,024 CUDA cores + 32 tensor cores CPU 8-core Arm Cortex-A78 6-core Arm Cortex-A78AE Memory 8 GB LPDDR5X, 120 GB/s 8 GB 128-bit LPDDR5, 102 GB/s Power 15 W to 40 W 7 W to 25 W Price TBC (not announced) $249 developer kit Availability H1 2027 Shipping now Sources: NVIDIA Newsroom, Hackster.io, NVIDIA Jetson Orin Nano Super Developer Kit\nThe \u0026ldquo;2x\u0026rdquo; is not measured at equal power Start here, because it changes how you read everything else. On paper the TOPS figure moves from 67 to 78, about 16%. The doubling claim comes from a different comparison: the new board in its 40 W mode against the old board at its 25 W ceiling. It is not twice the performance at the same power draw.\nNVIDIA\u0026rsquo;s other claim is the more useful one: 40% lower power at equivalent performance. Put together, the new module gives you more when you feed it more, and costs less when you ask for the same. That also tells you what did not happen. The GPU is still Ampere. The gains come from 50% more CUDA cores, two extra CPU cores, and 18% more memory bandwidth, not from a new architecture.\nThe power floor is the part that bites This is the quietest row in the table and the one most likely to break a design. The envelope moves from 7-25 W to 15-40 W. The ceiling going up is expected. The floor doubling, from 7 W to 15 W, is the problem.\nIf you have built a battery-powered mobile robot, you already know why. Idle and low-load draw sets your runtime as much as peak draw does. A design that keeps a camera alive and only runs inference on an event spends most of its life near the floor. Swapping in the new module doubles that baseline, and the battery budget you sized for the old board no longer holds.\nThe 40 W ceiling deserves the same caution from the other direction. You cannot drop this module into a power section designed around 25 W and call it done: rail capacity, connector ratings, and thermal design all need to be recalculated. The module\u0026rsquo;s input voltage and connector pinout have not been published yet, so treat those as TBC until the datasheet lands. Guessing at a power section is how boards get cooked.\nMemory stays at 8 GB Both generations ship 8 GB. Bandwidth improves from 102 to 120 GB/s, but capacity does not move. Run vision models on-device for a while and you find the wall is usually memory, not compute. Jetson shares memory between CPU and GPU, so after the OS and the camera pipeline take their share, what is actually available to a model is well under 8 GB.\nIf the plan is to quantize a current vision-language model and run it at the edge, this generation hits the same wall as the last one. Memory fills before you get anywhere near 78 TOPS. More capacity means moving up to something like Orin NX, which is a different price bracket and a different conversation.\nWhat to buy right now Shipping is H1 2027. That is more than six months out, with no announced price. If you have to ship something in 2026, this board is not on the table.\nBuilding now: the Orin Nano Super developer kit is $249, it is not short on performance, and you can buy it today. Its 7 W floor is also friendlier to battery-powered work than the new board\u0026rsquo;s 15 W. Targeting production in 2027 or later: plan around the new module, but design the power section and cooling for 40 W from the start. Adding headroom later costs far more than building it in. Learning or teaching: no reason to wait. The 8 GB ceiling is the same on both, and what you learn transfers when the board changes. Verdict Honestly read, this is a widened Ampere part rather than a new generation: more cores, a broader power envelope, faster memory. That is a perfectly good product. The risk is taking the \u0026ldquo;2x\u0026rdquo; line at face value and carrying it into a design, because the place it will hurt you is power. Work out whether your enclosure can actually deliver 40 W, and whether your battery can live with a 15 W floor, before anything else.\nWorth revisiting once pricing and the full module datasheet are published.\n","permalink":"https://yjworks.github.io/en/2026/09/02/embedded-jetson-orin-nano-2/","summary":"NVIDIA\u0026rsquo;s next entry-level Jetson compared against the current Orin Nano Super, with a look at the power envelope and memory ceiling that decide whether it fits a robot.","title":"Jetson Orin Nano 2: the 2x that isn't"},{"content":"The first week of September sits in the calm before two big dates: Apple\u0026rsquo;s September 9 event and IFA Berlin, which opens on September 4. Even so, four products stood out this week. In Korea, LG and Samsung launched budget 14-inch laptops on the same day, which tells you where the domestic PC fight has moved. Overseas, NVIDIA refreshed its entry-level Jetson for robotics, and Poco launched the F9 series with a price increase that is hard to ignore.\nKorea LG gram Book AI 2026 14 (14U40V) LG\u0026rsquo;s gram line has always been about weight, and the gram Book sub-brand is its cheaper, thicker sibling. This is the first time the gram Book line gets a 14-inch model.\nCPU: Intel Core Series 3 (Wildcat Lake) Battery: 61.2 Wh, up to 30.5 hours by LG\u0026rsquo;s own measurement Weight / thickness: 1.29 kg / 14.9 mm, aluminum chassis Display: 14-inch. Resolution and panel type: TBC Memory / storage: TBC (varies by configuration) Price: from 1,450,000 KRW (MSRP) Release: announced Sep 1; on sale Sep 7 at LGE.com and major online malls, with LG Best Shop stores following from mid-September Take: 1.29 kg with a 61 Wh pack is a strong ratio for a student machine, and Wildcat Lake should help idle power. But LG has not yet published the display resolution or RAM tiers, so I would hold off on judging the price until the full spec sheet is out. Source: The Korea Economic Daily, THE ELEC Samsung New Galaxy Book6 Samsung\u0026rsquo;s answer landed the same morning. The \u0026ldquo;New\u0026rdquo; Galaxy Book6 is a single-size, single-color budget model aimed at students heading back to school.\nCPU: Intel Core Series 3 Display: 14-inch (35.6 cm), one size, Gray only Weight: 1.35 kg Battery: up to 25 hours of video playback; a 30-minute charge restores up to 33% Price: 1,190,000 to 1,490,000 KRW depending on CPU and OS choice Release: Sep 1 in Korea, through Samsung Stores, Samsung.com, and open-market retailers Take: Two Korean giants launching on the same day, in almost the same price band, means the mid-range market is now the main battleground at home. The Galaxy Book6 is 60 grams heavier than the gram Book, but its lower entry price will matter more to first-time buyers than the weight difference. Source: Money Today, Edaily Global NVIDIA Jetson Orin Nano 2 NVIDIA\u0026rsquo;s entry-level Jetson has been the default brain for hobby and education robots since the Orin Nano Super price cut. The Orin Nano 2 keeps the same tier but changes the silicon underneath.\nAI compute: 78 TOPS CPU: 8-core Arm Cortex-A78 GPU: Ampere architecture, 1,536 CUDA cores Memory: 8 GB LPDDR5X at 120 GB/s Power: 15 W to 40 W modes NVIDIA claims 2x inference performance over the previous generation, and 40% lower power at the same performance level Price: TBC (not announced) Release: announced Aug 25 (US time); the module and developer kit are expected in the first half of 2027 Take: The GPU is still Ampere, so the gain comes from more CUDA cores, two extra CPU cores, and faster memory rather than a new architecture. For an on-device vision robot, 8 GB of shared memory is once again the real ceiling. The new 40 W top mode is the part that affects hardware design: a small robot built around the old 25 W budget needs its power rail and cooling rethought before this module goes in. And with shipping a good six months away, nobody should plan a 2026 build around it. Source: NVIDIA Newsroom, Hackster.io Going deeper: SBC Deep Dive: What Actually Changed in the Jetson Orin Nano 2 covers the comparison and the power-design side. Poco F9 Pro and F9 Ultra Poco built its name on flagship chips at mid-range prices. The F9 series keeps the flagship chip but moves the price up a tier.\nSoC: Snapdragon 8 Elite Gen 5 on both models Display: 6.59-inch (Pro) / 6.9-inch (Ultra), 185 Hz, 4,500 nits peak, Gorilla Glass 7i Camera: 200 MP main with OIS, 32 MP front Battery: 6,330 mAh (Pro) / 8,050 mAh (Ultra), 100 W wired and 50 W wireless charging IP68 rating, Bose-tuned speakers Price: F9 Pro from $699 (12 GB / 256 GB), F9 Ultra from $799; UK £799 / £899. Euro pricing differs between sources (€799 / €999 versus €899.90 / €1,099.90): TBC. India pricing: TBC Release: global launch Sep 1 Take: An 8,050 mAh cell with 100 W charging in a phone body is the headline, and the 185 Hz panel is a spec nobody asked for but gamers will like. The problem is price. Poco itself blamed rising memory costs, but with the same chip as several rivals, the value story that defined the F series is much weaker this year. Source: 9to5Google, Tech Advisor Software Pollen Robotics microduck Pollen Robotics, now part of Hugging Face, published the software stack for microduck, a 25 cm, 800 g biped duck robot that walks, rolls, and grasps using reinforcement-learning policies. The repository trended on GitHub this week after the August 28 announcement.\nRepo: github.com/pollen-robotics/microduck, Apache-2.0, Rust, about 6.3k stars at the time of writing Runs on a Rockchip RK3566 board with a 50 Hz control loop driving 15 servos, plus camera, ToF depth sensor, Bluetooth, and gamepad support Companion repo microduck_rl holds the simulation and RL training environments Install or run: the README points to the documentation and a robotctl command-line tool rather than a one-line install; the robot itself is sold at pollen-robotics.com/microduck Take: The interesting part for education is the pipeline, not the duck: train a gait in simulation, deploy to a cheap ARM board, iterate. Note that only the software is open; Pollen has asked press not to call the hardware open source, so do not expect STL files. Source: GitHub, CNX Software This Week at a Glance Product Category Region Key specs Price Release LG gram Book AI 2026 14 Laptop Korea Core Series 3, 61.2 Wh, 1.29 kg from 1,450,000 KRW Sep 7 Samsung New Galaxy Book6 Laptop Korea Core Series 3, 14-inch, 1.35 kg 1,190,000 to 1,490,000 KRW Sep 1 NVIDIA Jetson Orin Nano 2 SBC / Robotics Global 78 TOPS, 8-core A78, 8 GB LPDDR5X TBC H1 2027 Poco F9 Pro / F9 Ultra Smartphone Global Snapdragon 8 Elite Gen 5, 185 Hz, 6,330 / 8,050 mAh from $699 / $799 Sep 1 Pollen Robotics microduck Open source Software Rust, RK3566, 15 servos, RL policies Apache-2.0 Aug 28 ","permalink":"https://yjworks.github.io/en/2026/09/02/brief-weekly-gadgets/","summary":"Two budget 14-inch laptops launched in Korea on the same day, NVIDIA\u0026rsquo;s next entry-level Jetson for robots, and Poco\u0026rsquo;s pricier F9 flagships.","title":"On sale today, shipping next year"},{"content":"DigitalBrain DigitalBrain covers newly released hardware and software with the specs, prices, and release dates in one place, each entry sourced. One post every weekday, with a fixed subject per day.\nDay Subject Monday Laptops, phones, appliances or wearables — whatever launched Tuesday The same range, a different category from Monday Wednesday Single-board computers, dev boards, robots Thursday Dev picks (trending GitHub repositories / Hugging Face models) Friday The week in brief (Korea / Global / Software) The rules this site holds to:\nOnly products and projects that were actually announced are covered, and every entry links to its source. Specs follow the manufacturer\u0026rsquo;s official figures. Anything unconfirmed is marked \u0026ldquo;TBC\u0026rdquo; rather than filled in. When there is nothing genuinely new that day, nothing is published. No filler to keep a streak alive. Short opinions are the author\u0026rsquo;s own and are not purchase recommendations. The Korean and English posts are written separately from the same research, each for its own readers. Who writes this Yunjai Lee. I work with embedded software and computer vision, and I have built boards and robots myself. That background is why these posts care less about the spec sheet and more about whether a thing actually behaves the way it is advertised.\nThis is a personal blog. It is not affiliated with any company or manufacturer, and every opinion here is my own.\nContact Email: leeyunjai1982@gmail.com GitHub: github.com/yjworks Corrections and tips: email me or open an issue. If a spec or price is wrong, send the source and I will fix it. ","permalink":"https://yjworks.github.io/en/about/","summary":"About the DigitalBrain blog","title":"About"},{"content":"DigitalBrain (\u0026ldquo;this site\u0026rdquo;, https://yjworks.github.io/) respects your privacy. This policy explains what information is collected when you visit this site, how it is used, and the choices you have.\n1. Information We Collect This site has no user accounts or login, and does not ask visitors for personal information such as names or email addresses.\nHowever, the third-party services described below may automatically collect the following information through cookies and similar technologies:\nIP address (which may be anonymized), browser type and version, operating system Date and time of visit, pages viewed, referring URL Advertising identifiers and cookie identifiers 2. Cookies Cookies are small text files that a website stores in your browser. This site uses cookies for the following purposes:\nAnalyzing site traffic and usage Serving advertisements relevant to your interests and measuring ad performance You can refuse or delete cookies in your browser settings. Refusing cookies does not limit your ability to read this site.\n3. Google AdSense This site uses Google AdSense, an advertising service provided by Google.\nThird-party vendors, including Google, use cookies to serve ads based on your prior visits to this site or other websites. Google\u0026rsquo;s use of advertising cookies enables it and its partners to serve ads based on your visits to this site and/or other sites on the Internet. You may opt out of personalized advertising by visiting Google Ads Settings. You may opt out of third-party vendors\u0026rsquo; use of cookies for personalized advertising at www.aboutads.info. For details on how Google uses data, see How Google uses information from sites or apps that use our services.\n4. Google Analytics This site may use Google Analytics to analyze visitor statistics.\nGoogle Analytics uses cookies to collect information about how visitors use this site. That information is transmitted to and stored on Google\u0026rsquo;s servers. The collected information is used only to understand site usage and improve the content. You can opt out by installing the Google Analytics Opt-out Browser Add-on. 5. How Information Is Used Collected information is used only for:\nAnalyzing site usage and improving content Serving advertisements and measuring their performance Preventing abuse and maintaining security 6. Third Parties The site operator does not directly collect or store visitor information, and does not share information with any third party other than the Google services described above. Google\u0026rsquo;s handling of the information it collects is governed by the Google Privacy Policy.\n7. External Links Posts on this site contain links to external sites such as manufacturer pages, news articles, and open source repositories. Those sites have their own privacy practices, for which this site is not responsible.\n8. Children\u0026rsquo;s Privacy This site is not directed at children under 14 and does not knowingly collect personal information from children.\n9. Changes to This Policy This policy may be updated to reflect changes in law or services. Any changes will be posted on this page.\n10. Contact For privacy-related questions, please contact:\nOperator: Yunjai Lee\nEmail: leeyunjai1982@gmail.com\nGitHub: yjworks/yjworks.github.io\nEffective date: September 2, 2026\n","permalink":"https://yjworks.github.io/en/privacy/","summary":"Privacy policy for the DigitalBrain blog","title":"Privacy Policy"}]