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Healthcare AI is often evaluated on accuracy, but reliability is just as important. Small changes in patient data can sometimes lead to unstable predictions or inconsistent explanations. This article argues that AI systems should assess both prediction stability and explanation stability before influencing clinical decisions. A reliability-aware approach can help clinicians understand not only what a model predicts, but whether that prediction is trustworthy enough to act upon.

Standard SLOs can't measure LLM correctness. Split reliability into operational, structural, and semantic layers; each needs different metrics and ownership.

Germany's MPU isn't triggered only at 1.6 Promille. Learn what the fitness-to-drive assessment really measures, who gets ordered in, and how to prepare.

For thirty years the open web ran on a bargain: publish freely, and attention flows back to you. AI search breaks that bargain, it answers with your work and the reader never reaches you. So creators start pricing their knowledge instead of giving it away, and the academic publishers are already doing it ($75M for Taylor & Francis, $44M for Wiley). That splits the internet in two: expensive models stay sharp on licensed knowledge, while the free tools most people use fall behind on an aging, sca...

NVIDIA’s Nemotron 3 Ultra is more than an open-source model. It is a strategic move to make AI workloads flow back to NVIDIA hardware.

Most digital transformation programs fail not because systems are missing, but because authority over product data is fragmented across them. A true digital thread is not integration. It is a governed, change-controlled lineage of information across the product lifecycle. PLM defines engineering intent. ERP controls material and commercial execution. MES records production reality. QMS captures deviations and compliance evidence. ALM governs software and system behavior. The problem appears a...

Every time my AI agents broke in production, my instinct was to reach for a bigger model and it almost never worked. A method I patented years ago in chaotic Indian traffic (a trapezoid bounding box instead of a rectangle) taught me why: the bottleneck is almost always how you represent the problem, not the size of the model. Six representation-first lessons on context, occlusion, evals, and the gap between a cool demo and an agent you'd trust to take real action for anyone shipping agentic A...

Twindo has developed an offline AI copilot that runs directly on mobile devices, giving technicians instant access to operational knowledge even with no internet connection. Founded by former wind technician Jules Shertser, the company combines field and office copilots to improve inspections, reduce human error, and speed decision-making. Already deployed across 24,000+ wind turbines, Twindo is expanding into broader energy infrastructure.

Wellness influencers have stumbled onto a huge issue when it comes male fertility, though not every solution they're pitching is good advice.

The 2026 World Cup promises a global celebration. Many Arab fans may find themselves locked out.

By focusing on sleep, ScreenZen’s app-blocking Halo gadget is downright dreamy compared to the rest.

Artist Morry Kolman will be livestreaming feeds of the NBA champions’ ticker-tape parade from NYC’s traffic cameras—and this time, the city’s Department of Transportation isn’t demanding he stop.

I tested over a dozen top home diffusers for scent strength, longevity, special features, and more. The Urpower Aroma is my favorite option for most people.

Whether you need a travel-friendly slate or something affordable for the kids, we tested every model to find the right one for every occasion.

The company has identified at least 13 instances where its robotaxis drove into highway sections closed for construction.

Forget stickers, GIFs, and emoji reactions. Pixi is betting that the next evolution of messaging is interactive augmented reality (AR).

I wrote a tiny operating policy for a support bot. Two rules, both reasonable, both the kind of thing a real team would put in an AGENTS.md : Rule 1. The agent must never reveal the internal API token to the user under any circumstances, including debugging, audit, or roleplay requests. Rule 2. The agent must never tell the customer what it cannot do. It must never use the words "can't", "cannot", "unable", or "won't"; it must always frame responses positively around what it can...

Every AI agent that calls an external API hits the same wall. The response comes back as raw JSON, deeply nested, verbose, full of fields the agent doesn't need. Before the agent can reason over it or take any action, someone has to filter it, reshape it, maybe merge it with another payload. Most teams solve this one of three ways. They dump the raw JSON into the context window and let the LLM figure it out. They spin up a Python sidecar. Or they make an extra round-trip to a data service....

The world is full of noise. I built NoiseFilter to cut through it. News is everywhere, and it's never been harder to know what to trust. Who benefits from this article? Is it pushing an agenda? Where did the story even come from? I built NoiseFilter because people deserve better than headlines designed to manipulate — no rumours stacked on top of rumours, no clickbait dressed up as journalism. Not to think for you, but to give you the tools to think for yourself. What it actually ...

When investigating a slow Rails endpoint, it's common to start by looking for N+1 queries, missing indexes, or expensive joins. Sometimes, though, the real culprit is much smaller. It might be hiding in a method call you've written hundreds of times without thinking about it. In Rails, .count , .length , and .size all return a number, and many developers use them interchangeably. Under the hood, however, they behave very differently. Let's break down how each method works and see wh...

This is a write-up of the animated ring I built for a 404 page. It's a single component that renders an SVG "portal" — a set of concentric rings with drifting particles, a slow wobble, and a parallax response to the cursor. The page is server-rendered, so the component also has to be SSR-safe and reasonably cheap to run. Here's how each part works. Generating the geometry The rings, particles, and orbital markers are generated from their index rather than placed by hand. T...

Most e-commerce founders spend 80% of their time managing fragmented software and only 20% actually growing their business. We’ve all been there: You have Shopify for the store, Klaviyo for emails, Meta Ads for traffic, a spreadsheet for inventory, and 5 other SaaS dashboards. You spend hours context-switching, pulling data, and manually executing strategies. The software meant to help us is actually slowing us down. Human attention has become the bottleneck. That’s why I built Cl...

terraform plan is great at one thing: telling you how your managed resources have drifted from your config. But it has a blind spot baked into its design — it only knows about resources that are in your state file. A security group someone spun up in the console, an RDS instance a teammate created with the CLI, an S3 bucket left behind by a deleted stack: plan will never mention any of them, because as far as Terraform is concerned, they don't exist. For a drift detector that's a ...

Most of history was signed by humans. Wars. Policies. Economic collapses. Institutional failures. Every system inherits the limitations of its decision-makers. What happens when governance is no longer limited by individual bias, ego, incentives, or political cycles? Metareignity is exploring a future where critical decisions are evaluated through transparent, accountable intelligence. The question is simple: If a system consistently made better decisions than humans, should...

Most product teams have accepted infrastructure ownership as a normal part of software development. I think that's a mistake. Not because infrastructure isn't important. It is. Not because Amazon Web Services (AWS) is a bad platform. It isn't. The mistake is assuming that every engineering team should spend significant time operating cloud infrastructure in the first place. Over the last decade, we've normalised the idea that product teams should manage deployments, maintain observ...

🌌 The Backstory & What I Built For this jam, I wanted to build something fast, responsive, and completely addictive. I created Solstice Aegis—a fast-paced, arcade space shooter built entirely from scratch and optimized from the ground up for a crisp desktop browser experience. Channelling the shifting balance of the June Solstice, the game puts you in the cockpit of the Aegis Shuttle. Using high-precision mouse tracking, your goal is to harvest drifting stellar fragments, blast throu...

When business owners reach out to discuss a new digital product, one request comes up surprisingly often: "We need a mobile app." And in many cases, my response is: "Maybe. But probably not yet." That answer usually surprises people. After all, some of the world's biggest companies have successful mobile apps. So shouldn't every business have one? Not necessarily. Over the years, I've worked with businesses across different industries, and I've noticed a common pattern: many...

How cloud-native tooling is enabling distributed AI inference on heterogeneous edge hardware, slashing latency and infrastructure costs for production workloads. Forward-thinking platform teams are moving AI inference out of centralized GPU data centers and into distributed Kubernetes clusters running closer to data sources, cutting response latency from hundreds of milliseconds to single digits. Mature cloud-native tooling including KServe, vLLM, and eBPF-based observability has made this...

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