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A lot of automakers talk about wanting to minimize or eliminate driver distractions so as to make the experience of driving more rewarding and safer overall. Lamborghini has a different strategy; it wants the driver to become one with their vehicle. This helps explain the storied super car maker's tagline for the new Revuelto SV: […]

Judge warns pro se litigants are using chatbots wrong and getting desperate.

Dash cam laws vary from one state to the next. Check the laws of states you'll be driving through.

You're on the highway, hands on the wheel, and a message comes in. Or at least it should come in. Instead your car stays silent, or the notification shows up ten minutes later at a red light, or it reads out a name but the body never appears. If this sounds familiar, you're not dealing with a broken phone. You're dealing with the fact that Android Auto surfaced notifications very differently from your lock screen — and a lot of small settings have to line up for a message to actually reach you while you drive. Here's the mental model, the usual culprits, and the exact fixes. I've split the fix-it steps into separate deep-dives at the end, because "my messages don't show in the car" can mean five different things. The mental model: it's a separate pipeline On your phone, a message notification lives in the shade like any other notification. In Android Auto it's a different surface. Android Auto only pulls in notifications from apps it recognizes as messaging apps , and it deliberately filters them down to something safe to glance at while driving. That filtering is the whole game. A notification that's perfectly fine on your lock screen can be dropped, delayed, or stripped of its text in the car because one of these conditions isn't met: the app is enabled for Android Auto (not every app is, by default), the app has notification access granted, the phone isn't in a mode that suppresses it (Do Not Disturb, Driving mode), the app isn't being killed by battery optimization in the background, and the message is actually a message Android Auto understands (some apps send "silent" or summary notifications that AA ignores). Notice none of these are "the app is broken." They're configuration. Which is good news — they're all fixable. The usual culprits, in order of how often they're the cause 1. The app isn't enabled in Android Auto. Android Auto shows notifications from a curated set of messaging apps. Open Android Auto → Settings → Notifications → Configure notifications,

Third-party app stores are about to become more visible in Google Play.

Meta released Glimmer this week, an open-weight AI model anyone can download and run on their own hardware — a contrast to Muse Spark, the company’s more powerful model that stays locked behind its own APIs. The release landed alongside a letter from Mark Zuckerberg arguing AI should be “for everyone” rather than controlled by a handful of labs, but as Equity’s […]

Tim O’Reilly built a publishing empire that AI is helping to destroy. Yet he loves AI—as long as it’s open source.

US groups release cheaper models after new challenges to their trillion-dollar ambitions.

Baruch Sadogursky and Patrick Debois discuss why coding agents fail due to bloated context windows and stuffed prompts. They explain practical context engineering fixes, including lazy-loaded skills, versioned context artifacts, externalized memory banks, and LLM-as-a-judge evals. Software architects & engineering leaders will learn how to turn raw markdown files into reliable agentic workflows. By Patrick Debois, Baruch Sadogursky

The partnership is expanding beyond the initial market of Zagreb, Croatia to four additional European cities.

For the past few months, I've been working on a project that translates online meetings in real time. At first, I thought the problem would mostly be about choosing the right speech recognition model and finding a good translation API. It turned out those were the easy parts. The real challenge was making everything feel instant. People don't wait for subtitles. If the translation appears two or three seconds after someone finishes speaking, the conversation has already moved on. Technically it works, but from a user's perspective, it feels broken. That completely changed how I approached the project. Instead of optimizing only for accuracy, I had to optimize the entire pipeline for latency: Capturing audio continuously Streaming audio to ASR Performing speech recognition incrementally Translating partial sentences Updating subtitles without flickering Handling corrections when the speech recognizer revised previous words Every stage might only take a few hundred milliseconds, but together they determine whether the experience feels "real-time." Another lesson surprised me even more. Translation quality isn't just about picking a better LLM. Spoken language is messy. People interrupt each other, change direction halfway through a sentence, use filler words, and rarely speak in complete grammatical sentences. A model that performs well on benchmarks can still struggle in a live conversation if the input arrives one fragment at a time. That forced me to rethink prompts, buffering strategies, and when to display or revise translated text. Building this project also gave me a new appreciation for streaming systems in general. Real-time applications are fundamentally different from batch processing. Instead of asking, "How accurate is the result?", you're constantly balancing three competing goals: Latency Stability Accuracy Improving one often makes another worse. I'm still learning every day, and there are plenty of problems left to solve. Over the next few weeks, I'd

Ground Truth makes the shared rental bikes harder to pedal through rent-burdened neighborhoods, offering a tangible way for people to experience income inequality.

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to David Gudeman about the unique culture of early-stage startup engineering, how founder personality quirks and premature process impositions can derail teams, and how engineers can build influence and make deliberate career choices without formal power. By David Gudeman

This week I spoke to scientists who have found a way to turn male mouse embryos female. They’ve developed a CRISPR-based approach to essentially cut out the Y chromosome. It allowed them to create female clones of male mice. That’s right: female animals that are genetically identical to males, except for the missing Y chromosome.…

In 2017, Deanne Taylor attended a presentation at the University of Pennsylvania, just a short walk from her office. A researcher was there to unveil the Human Cell Atlas, an ambitious project that aimed to map every cell in the human body. Taylor was floored, and then concerned. As details emerged, she discovered that the…

Czinger used topological design and additive manufacturing to make the brakes.

npm 12 introduces significant security-related changes, making certain installation behaviors opt-in. Notably, script allowances are now off by default, which requires explicit approval for running scripts, including implicit builds. The update also restricts non-registry sources and addresses community concerns about security risks from automatic script execution. By Daniel Curtis

If you’ve managed web servers or applications for any length of time, you’ve probably seen this happen: a new feature or campaign goes live, traffic suddenly spikes, and Website Load Testing becomes critical when your website starts returning 503 errors at exactly the moment you need it to perform. What happens next is usually a scramble, SSH into a server you haven’t checked in months, inspect running processes, restart services, and make infrastructure changes based on guesswork. Eventually, the traffic settles, the site recovers, and the immediate crisis is over. But that kind of incident is often preventable. Load testing helps you find your website’s limits before your users do. In this guide, we will cover what load testing is, why it matters at every scale, how to run your first test using loader.io (the most accessible free tool available), what your results actually mean, how to find and fix bottlenecks, and how to make load testing a normal part of how you ship software. TL;DR Load testing answers one critical question: how many concurrent users can your server handle before it falls over? Without it, you’re guessing about capacity, and guessing wrong right when it matters most loader.io is the simplest free tool to get started: no install, browser-based, generous free tier Your three essential numbers: concurrent user target, response time threshold, and peak traffic window Run load tests before every major deployment, not after your site goes down What Load Testing Actually Is Let me clear up some confusion first, because “load testing” gets thrown around interchangeably with a few related terms that mean different things. Load testing is specifically about simulating concurrent users hitting your site and measuring how your server behaves under a expected load. You’re asking: “When 500 people are on this site at the same time, what happens?” Stress testing pushes beyond that, you keep adding users until something breaks, then you figure out exactly wher

Meta AI Research has introduced Muse Glimmer, a 30-billion-parameter open-weight model under the Apache 2.0 license, designed for local workflows. It enables autonomous agents and complex task execution on consumer GPUs without relying on cloud APIs. The model employs a multi-stage training approach for efficient performance and supports multimodal inputs, enhancing coding and automation tasks. By Olimpiu Pop

Study finds wait times for cancer surgeries hit 10-year high.