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For decades, CAN has been one of the most dependable languages used by machines. Controllers, sensors, actuators, operator panels and safety modules can exchange information with predictable priority and the robustness required by industrial and automotive environments. Today, however, a machine is no longer sending only a few commands and states: it has to handle richer diagnostics, high-frequency feedback, more capable HMIs, updates, data from multiple sensors and distributed software componen...

A data lake on S3-compatible storage is an object bucket holding open file formats (Parquet, ORC, JSON) partitioned by key, queried in place by engines like DuckDB, Spark, or Trino. You skip a proprietary warehouse, keep the raw data, and control the bill. The only hard requirement is a solid S3-compatible API. Every command below is copied verbatim from the official source cited beside it. This sandbox has no Docker daemon, so none of the commands were executed here; they are marked accordin...

We finally opened Cloudflare's AI Crawl Control last week, mostly out of curiosity about which AI bots actually visit us. It had been collecting quietly the whole time. The first 24-hour window we looked at showed 1,890 requests from AI agents, and 483 of them failed. Compared with the previous day, that failure count was up 63 percent. The worst record belonged to the agent we were most curious about. ChatGPT-User is the one OpenAI documents as user-initiated: it visits a page when someone a...

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Abstract: Many modern programming languages include some form of asynchronous programming. In particular, a growing number now have what we call straight-line asynchrony: attempts to provide asynchronous functions that look similar to synchronous functions, thereby enabling asynchrony without introducing complex control. These languages often share construct names like “async” and “await,” which suggests that they have deep semantic similarities. Yet, a close examination reveals that these langu...

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Article URL: https://link.springer.com/article/10.1007/s12519-026-01046-1 Comments URL: https://news.ycombinator.com/item?id=49431024 Points: 38 # Comments: 30

Article URL: https://www.bbc.com/news/articles/c4g36yze692o Comments URL: https://news.ycombinator.com/item?id=49431364 Points: 140 # Comments: 221

Article URL: https://www.bbc.com/future/article/20260824-this-quantum-battery-charges-faster-the-larger-it-gets Comments URL: https://news.ycombinator.com/item?id=49431560 Points: 26 # Comments: 18

There’s no clearer sign of the data center boom than rampant gas projects that have been proposed or that are already under construction.

Say hello to a revamped collection of perfectly proportioned 38-mm Speedmasters.

TL;DR If a route in your Next.js App Router feels like full SSR—long TTFB, janky client navigations—try a conservative route-level "use cache" plus a small Suspense shell to let Partial Prerendering (PPR) do the heavy lifting. In practice this often drops TTFB from ~700ms to ~60–80ms and makes navigations feel instant. Why this matters Next.js's App Router and Cache Components model favor explicit caching. By marking expensive server work as cacheable and placing Suspense b...

One file, one path: from package main to shipping a concurrent, observable Go service that fronts your models and never falls over. Every example is drawn from what AI engineers actually build in Go — streaming proxies, tool dispatchers, rate limiters, worker pools, context-cancelled model calls. No foo / bar filler. Companion reads: 🐍 Python for AI Developers (the sibling to this guide), 🏗️ Building High-Quality AI Agents , 🏢 Enterprise-Ready AI Agents . 📖 How to ...

Astro 7.2 was released on 6 August 2026 with experimental incremental static builds. The idea is simple: do not regenerate a prerendered page when its code and data have not changed. That can materially reduce build time on a large content site. The word experimental still matters, and a major-version upgrade is not a performance toggle in isolation. The release also adds an option to disable session support, background mode for astro preview , and a simpler relative entry point for a custom...

If you sell clothing online you need on-model photography, and on-model photography means booking a model, renting a space, and waiting on retouching. Three to five days per round. flat-lay — from an MIT-licensed skill library I have been working through — collapses that to about 60 seconds. You give it a flat-lay garment photo and a pose reference, and it dresses the person in the garment. The interesting part for a developer audience is not that it works. It is that the prompt has a ri...

Kubernetes Probes as Failure Detectors: Semantics, Timing, and Cascading Risk Kubernetes probes are distributed-systems failure detectors with different control effects. A readiness failure removes a Pod from Service endpoints; a liveness failure asks the kubelet to restart the container. The distinction matters because detection is necessarily imperfect: aggressive thresholds reduce detection latency but increase false positives under transient load. Readiness protects traffic; ...

Technology is becoming increasingly personalized. Streaming platforms recommend movies, shopping websites suggest products, and fitness applications adapt plans according to individual users. The same approach can be useful in personal beauty and hair-care technology. Curly hair is a good example because users can have significantly different needs even when they describe their hair using the same general term. Why One Recommendation Does Not Work for Everyone A recommendation system...

When the self-improving agent almost lost the host's work: a postmortem On 2026-08-20, EMRG's own scheduled task stashed the host's uncommitted edits — twice, with no reflog trace — before the loop caught the bug, rewrote the rule, and added a regression test. Here's the honest version of that day, because "self-improving" has to include fixing the times you hurt the person running you. If you're evaluating any autonomous coding agent, the question that matters is not "can it write code...

Building FOSS is mostly rewarding and occasionally aggravating. Once in a while it requires some cleverness. The old contract between maintainers and users was simple enough. We build the software, you use it, you report what breaks. Some of you stick around and contribute. The project gets battle-tested by people whose problems I would never have thought of, and everyone comes out ahead. That contract is under some strain right now. Part of it is noise: AI slop, automated issues filed by ...

Building a chat application may seem simple at first. A user sends a message, another user receives it, and the conversation continues. But once your application grows from a few users to millions, the architecture becomes much more interesting. You need to think about: How do users connect in real time? How are messages delivered? Where are messages stored? What happens when a server crashes? How do you support millions of concurrent connections? How do users receive mes...

Designing a GDPR‑ and UK Online Safety Act‑Ready Serverless Plugin System for AI‑Driven Career Assistants on AWS Meta: Learn how to build an extensible, compliant serverless plugin architecture for AI career assistants on AWS, balancing real‑time generative coaching with GDPR and UK Online Safety Act requirements. Key Insights A plugin‑based serverless design lets you add new AI capabilities without redeploying the core assistant, reducing time‑to‑market by up to 40 %. Em...

Great Products Start With Real Problems Developers often begin projects by asking what they can build. Entrepreneurs often begin by asking what people need. The most effective products usually combine both approaches: technical execution and genuine problem solving. The story of Sara Blakely and Spanx provides an interesting example of this principle. Her journey started with an everyday problem and evolved into a major consumer brand. For developers and startup builders, the lesson ...

You are building a LINE customer flow and start with a confirm template. Then the requirements grow: Confirm Cancel Change address Contact support At this point, the problem is no longer “How can I add more buttons to a confirm template?” The real question is: Which LINE message type matches the decision the user needs to make? A LINE confirm template is intentionally limited to two actions. It is designed for one binary decision—not as a compact menu. When t...

Medical imaging papers are full of familiar-looking terms: normalization, labels, validation, annotation, and preprocessing. If you come from general machine learning, you may think you already know w

Article URL: https://www.supermicro.com/en/accelerators/nvidia/super-ai-station Comments URL: https://news.ycombinator.com/item?id=49428966 Points: 2 # Comments: 2