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While fully loaded models are quite pricey, the HP OmniBook Ultra is hard to beat for those in the market for a premium Windows ultraportable.

I love it when a company challenges itself to make a cheaper version of a beloved product. Xreal's $299 A01 Plus is a stripped-down version of its $449 1S that's light on features but with just enough of the 1S' best qualities. These AR glasses are comfortable, they look good, and the screens are surprisingly […]

👋👋👋👋 Looking back on your week -- what was something you're proud of? All wins count -- big or small 🎉 Examples of 'wins' include: Getting a promotion! Starting a new project Fixing a tricky bug Cleared your inbox below 50 unread (which felt like defusing a bomb) 📬 Happy Friday!

Builder Journal · ARC Prize 2026 There is a moment in every role-playing game where you load your character with so much heavy gear that they can barely walk. Strongest sword in the game, can't reach the fight. I did the machine-learning version of that this month. I kept making my agent more capable, and the scoreboard kept punishing me for it, and it took me two tries to understand that the upgrades were the problem. A quick frame, in case this is your first entry in this thread : I'm in the ARC Prize 2026, building an agent that has to learn small games it has never seen, with no instructions. As the benchmark's creator measured it, the hardest part by far is the piece that figures out the rules of a game by experimenting on it. So that piece is where I have been pouring my effort. The obvious upgrade The obvious way to make that piece better is to teach it more kinds of games. If it can model three families of puzzle today, teach it a fourth, and it should win more. So I did exactly that. I built support for a new class of game it could recognize and solve, wrote it carefully, tested it, and confirmed the thing I wanted to confirm: the agent now beat a game it provably could not beat the day before. Real, verified, new capability. Not a story I was telling myself, a genuine new skill on the board. Then I submitted, and the score went down. Twice This is the part I want to be honest about, because one bad result is noise and two is a pattern. My agent's attempts to use this theory-building component had already been underwhelming on the real board, landing around 0.05, 0.07, and 0.09 across earlier tries, all of them under the 0.25 my plain, careful agent scores when it does not reach for the fancy component at all. The fourth skill was supposed to turn that corner. Instead the next submission came in at 0.04, the worst of the lot. I had added ability and the number had dropped, again. So I stopped adding and started counting. I ran a survey across twenty-five of

Understanding Observability with the LGTM Stack From "what happened last night?" to "here's exactly what happened and why" — in under 5 minutes Table of Contents Introduction What Is Observability? The Three Pillars of Observability Metrics Logs Traces Why You Need All Three Together The LGTM Stack Architecture: How It All Fits Together OpenTelemetry: The Instrumentation Standard The OTel Collector: The Brain of the Pipeline Loki: Log Aggregation Tempo: Distributed Tracing Mimir: Metrics at Scale Grafana: Connecting the Dots Conclusion Introduction Let me tell you a story that probably sounds familiar. It's 2 AM on a Sunday. Your API is slow. Users are complaining. But you're not at your desk — you're in a Sleeping, or just living your life. You have no idea it's even happening. The next morning you walk into the office and your boss meets you at the door. "Hey, the API was really slow yesterday around 2 AM. What happened?" And you're stuck. Completely stuck. You pull up the server logs — it's a wall of unformatted text. Maybe the issue already fixed itself. Maybe the container restarted overnight and the logs are gone. You weren't there, and your system left no trail. So you say the thing every developer dreads saying: "I don't know. I'll look into it." Now imagine the exact same situation — but this time you have observability set up. You open your dashboard, set the time range to yesterday 2 AM, and within two minutes you can see everything. Response times spiked to 4 seconds. The database connection pool got exhausted. And it started the exact moment a scheduled batch job kicked off and hammered the DB with hundreds of queries at once. You have a graph. You have traces. You have the exact log line that caused it. You walk back to your boss with your laptop: "Here's what happened and here's the fix." That's observability. Your system tells its own story — even when you're not watching. That's what this blog is about. I'll walk you through what observability actua

Hello Dev Community! 👋 It is officially Day 128 of my software engineering marathon! Today, I tackled an essential lifecycle design challenge in modern frontend development: managing persistent browser loops, orchestrating ticking background workers, and mastering Timer Cleanups inside the useEffect Hook ! ⚛️⏱️💻 I put these architectural paradigms into action by engineering a lightweight, responsive Real-Time Clock Application that tracks exact server-client time down to the second without triggering rogue background processor spikes! 🛠️ Deconstructing the Day 128 Asynchronous Scheduler As captured across my clean system workspace configurations in "Screenshot (286).png" and "Screenshot (287).png" , the scheduling mechanism enforces strict resource allocation: 1. Initializing Reactive Temporal State Managed our standard state anchor using native JavaScript runtime Date models to trigger instant re-renders upon completion of each interval cycle: javascript const [time, setTime] = useState(new Date());useEffect(() => { let intervalId = setInterval(() => { setTime(new Date()); }, 1000);

Hello Dev Community! 👋 It is officially Day 127 of my software engineering marathon! Today, I leveled up my asynchronous data pipeline in React.js by tackling a critical production-grade performance problem: avoiding memory leaks and managing component unmounting states using the useEffect Cleanup function alongside the native browser AbortController API ! ⚛️🛡️⚡ Additionally, I integrated a fully responsive async loading engine to drastically improve our overall User Experience (UX). 🛠️ Deconstructing the Day 127 Network Boundary Control As shown inside my refactored workspace code layout across "Screenshot (283)_2.png" and "Screenshot (284)_2.png" , the side-effect layer is now safe from ghost background executions: 1. Ingesting the Abort Signal API Inside the lifecycle layer, before initiating the endpoint call, I instantiated an active execution cancellation anchor on Lines 12-13 inside PostContainer.jsx : javascript const controller = new AbortController(); const signal = controller.signal;

An interactive guide to the architecture behind modern language models. Instead of predicting the next word, this Transformer predicts the next move in a game of fading Tic-Tac-Toe—making every step of the model easy to visualize and understand. Play the game, inspect every matrix multiplication, and watch tokens flow through the network in real time. What's covered Tokenization and embeddings Learned positional encoding Self-attention (Q, K, V) Multi-head attention Causal masking and softmax Residual connections and layer normalization MLP (feed-forward network) Unembedding and sampling Model ablations (no positional encoding, no causal mask, no MLP, no residual stream) Includes interactive visualizations for every stage of the Transformer pipeline - from input tokens to the final prediction. https://sbondaryev.dev/articles/transformer

Hello Dev Community! 👋 It is officially Day 125 of my software engineering marathon! Today, I crossed an elite milestone in frontend data architecture: moving completely away from local hardcoded mock lists by connecting my centralized state management infrastructure to live third-party servers using the Fetch API alongside Async/Await ! ⚛️🌐⚡ Now, the social media feed dynamically handles server-side data models, passes payloads to an active state reducer, and broadcasts states down to presentation layers via a custom Context portal! 🛠️ Deconstructing the Day 125 Async Network Lifecycle As shown inside my development setup across "Screenshot (279).png" , "Screenshot (280).png" , and "Screenshot (281).png" , the application state engine is clean and modular: 1. Extensible Central State Reducers ( PostList.jsx ) Engineered explicit structural actions inside the reducer core to seamlessly support both user generation and full-scale network array overriding: javascript } else if (action.type === "NEW_INITIAL_POSTS") { NewPostValue = action.payload.posts; }

Give your AI Agent money. Not a blank check. Discussion | Link

The Linux Foundation has launched Akrites, a new industry-wide initiative aimed at defending the world's most critical open source software against a rapidly evolving generation of AI-enabled cyber threats. By Craig Risi

Whether it’s through Google Maps or Emergency SOS, there are plenty of ways to quickly let your loved ones know where you are.

I’ve been obsessed with simulation toys (software that allows you to play with a complex miniature world) ever since I was young and playing with SimCity and cellular automata. This kind of software exists at the delightful and weird intersection of simulation, complexity science, education, and gaming. And I want more of it! I created Microcosm Industries to initially act as a clearinghouse for simulation toys that are being built, ones that allow the user to playfully grapple with complex syst

"I have been waiting a long time to finally get up there..."

Private macOS notes built on plain Markdown files Discussion | Link