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09 Apr 2026 5:08pm GMT

Waymo is launching a pilot with cities and Google's Waze to share pothole data collected by its robotaxis, giving local transportation departments a new way to find and fix road damage more quickly. "We realized, hey, once we're at scale, we can actually share this data with cities, which is something that they've asked for and something that we collect at scale," said Arielle Fleisher, Waymo's policy development and research manager. "And so we figured out a way to make that happen." The Verge reports: Waymo uses its perception hardware, including cameras and radar, as well as accelerometers and the vehicle's physical feedback system, to log every pothole its vehicles encounter. These sensors detect physical changes to the road's surface, such as tilt and movement when the vehicle encounters irregularities. Originally, Waymo knew it needed the ability to detect potholes so it could ensure that its vehicles slowed down to avoid damage or injury to the passenger. Later, the company realized this could be invaluable data for cities, too. Under the new pilot program, that data will now be made available to cities' departments of transportation through a free-to-use Waze for Cities platform, which provides access to real-time, user-generated traffic data that officials can then use to make important decisions -- such as pothole repair. The platform also allows for Waze users to validate pothole locations through their own observations, decreasing the chances that city officials will be led astray by false positives. Currently, many cities rely on a patchwork of non-emergency 311 reports and manual inspections to address their pothole problems. Waymo developed this pilot program after collecting years of feedback from city officials about the state of their highways and surface streets. The company is launching the new pilot in the San Francisco Bay Area, as well as Los Angeles, Phoenix, Austin, and Atlanta, where Waymo says it has already helped the city identify approximately 500 potholes. Fleisher said that Waymo would be open to expanding the project to other street maladies based on further feedback from officials. The company is eager to learn what other types of street condition or safety data might be valuable, she said. "We want to be responsive to cities," Fleisher said. "They are interested in safer streets and potholes are really a tough challenge for cities. So we really wanted to meet that need as part of our desire to be a good partner and to ultimately advance our goal for safer streets."

Read more of this story at Slashdot.

09 Apr 2026 5:00pm GMT

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09 Apr 2026 4:57pm GMT

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09 Apr 2026 4:46pm GMT

An anonymous reader quotes a report from the Guardian: [Five skilled workers aged 50 and older spoke] to the Guardian about how, after struggling to find work in their fields, they have turned to an emerging and growing category of work: using their expertise to train artificial intelligence models. Known as data annotation, the work involves labeling and evaluating the information used to train AI models like Open AI's ChatGPT or Google's Gemini. A doctor, for example, might review how an AI model answers medical questions to flag incorrect or unsafe responses and suggest better ones, helping the system learn how to generate more accurate and reliable responses. The ultimate goal of training is to level up AI models until they're capable of doing a job as well as a human could -- meaning they could someday replace some of these human workers. The companies behind AI training, such as Mercor, GlobalLogic, TEKsystems, micro1 and Alignerr, operate large contractor networks staffed by people like Ciriello. Their clients include tech giants like OpenAI, Google and Meta, academic researchers and industries including healthcare and finance. For experienced professionals, AI training contracts can be a side hustle -- or a temporary fallback following a layoff -- where top experts can, in some cases, earn over $180 an hour. But that's on the high end. For some older workers [...], it represents another thing entirely: a last refuge in a brutal job market that is harder to stay in, or re-enter, the older they get. For many of them, whether or not they're training their AI replacements in their professions is besides the point. They need the work now. [...] "There's just a lot of desperation out there," Johnson said. As opportunities narrow, many turn to what Joanna Lahey, a professor at Texas A&M University who studies age discrimination and labor outcomes, calls "bridge jobs" -- lower-paying, less demanding roles that help workers stay financially afloat as they approach retirement. Historically, that meant taking temp assignments, retail and fast-food work and gig roles like Uber and food delivery. Now, for skilled workers -- engineers, lawyers, nurses or designers, for example -- using their expertise for AI data training is becoming the new bridge job. "[AI] training work may be better in some ways than those earlier alternatives," Lahey told the Guardian. AI training can offer flexibility, quick income and intellectual engagement. But it's often a clear step down. Professionals in fields such as software development, medicine or finance typically earn six-figure salaries that come with benefits and paid leave, according to the US Bureau of Labor Statistics. According to online job postings, AI training gigs start at $20 an hour, with pay increasing to between $30 and $40 an hour. In some cases, AI trainers with coveted subject matter expertise can earn over $100 an hour. AI training is contract-based, though, meaning the pay and hours are unstable, and it often doesn't come with benefits.

Read more of this story at Slashdot.

09 Apr 2026 4:00pm GMT

Ohio man used more than 100 AI tools to make fake nudes of women and minors.

09 Apr 2026 3:43pm GMT

Study found shots cut urgent care and hospitalization by about 50% in healthy adults.

09 Apr 2026 3:26pm GMT

BrianFagioli writes: Little Snitch, the well known macOS tool that shows which applications are connecting to the internet, is now being developed for Linux. The developer says the project started after experimenting with Linux and realizing how strange it felt not knowing what connections the system was making. Existing tools like OpenSnitch and various command line utilities exist, but none provided the same simple experience of seeing which process is connecting where and blocking it with a click. The Linux version uses eBPF for kernel level traffic interception, with core components written in Rust and a web based interface that can even monitor remote Linux servers. During testing on Ubuntu, the developer noticed the system was relatively quiet on the network. Over the course of a week, only nine system processes made internet connections. By comparison, macOS reportedly showed more than one hundred processes communicating externally. Applications behave similarly across platforms though. Launching Firefox immediately triggered telemetry and advertising related connections, while LibreOffice made no network connections at all during testing. The early release is meant primarily as a transparency tool to show what software is doing on the network rather than a hardened security firewall.

Read more of this story at Slashdot.

09 Apr 2026 3:00pm GMT

After the pivot to humanoid robots and AI, does Tesla want to be a car company again?

09 Apr 2026 2:10pm GMT

Solus says it has no plans to implement age verification and will keep monitoring the growing patchwork of related laws.

09 Apr 2026 1:09pm GMT

PipeWire 1.6.3 enhances RAOP compatibility, restores comprehensive MIDI1 support, and resolves issues related to crashes, sample rates, RTP, and Bluetooth.

09 Apr 2026 8:28am GMT

Miracle-WM 0.9 brings WebAssembly plugins, a new Rust API, cursor theme support, and faster performance for this Mir-based Wayland compositor.

09 Apr 2026 7:14am GMT