Articles100
Article URL: https://danieltan.weblog.lol/2026/05/the-century-long-pause-in-fundamental-physics Comments URL: https://news.ycombinator.com/item?id=47985725 Points: 3 # Comments: 0
Article URL: https://www.wsj.com/business/deals/gamestop-preparing-offer-for-ebay-1678e6de Comments URL: https://news.ycombinator.com/item?id=47985271 Points: 21 # Comments: 9
I searched for a simple, self-hosted journal app for my girlfriend and everything I found was either too complex, too feature-heavy, too feature-less for what I needed or required trusting a cloud service. So I built Piruetas (it means pirouettes in Spanish - she chose the name btw). It's a day-per-page diary with rich text editing, drag-and-drop image uploads, auto-save, public share links, and a clean mobile UI. It can be set up for Personal or Multi-user usage via docker compose deployment. She seems to like it so I decided to give back to the community and make it available for everyone (after some QA) Live demo: https://piruet.app (login: demo / piruetas — data resets every 30 min!) GitHub: https://github.com/patillacode/piruetas Comments URL: https://news.ycombinator.com/item?id=47985210 Points: 23 # Comments: 26
Hi HN, I’ve been working on mljar-supervised (open-source AutoML for tabular data) for a few years. Recently I built a desktop app around it called MLJAR Studio. The idea is simple: you talk to your data in natural language, the AI generates Python code, executes it locally, and the whole conversation becomes a reproducible notebook (*.ipynb file). So instead of just chatting with data, you end up with something you can inspect, modify, and rerun. What MLJAR Studio does: - Sets up a local Python environment automatically, runs on Mac, Windows, and Linux - Installs missing packages during the conversation - Built-in AutoML for tabular data (classification, regression, multiclass) - Works with standard Python libraries (pandas, matplotlib, etc.) - Works with any data file: CSV, Excel, Stata, Parquet ... - Connects to PostgreSQL, MySQL, SQL Server, Snowflake, Databricks, and Supabase. For AI: use Ollama locally (zero data egress), bring your own OpenAI key, or use MLJAR AI add-on. I built this because I wanted something between Jupyter Notebook (flexible but manual) and AI tools that generate code but don’t preserve the workflow. Most tools I tried either hide too much or don’t give reproducible results and are cloud based Demos: - 60-second demo: https://youtu.be/BjxpZYRiY4c - Full 3-minute analysis: https://youtu.be/1DHMMxaNJxI Pricing is $199 one-time, with a 7-day trial. Curious if this is useful for others doing real data work, or if I’m solving my own problem here. Happy to answer questions. Comments URL: https://news.ycombinator.com/item?id=47985077 Points: 23 # Comments: 3
Article URL: https://eclecticlight.co/2026/05/02/how-fast-is-a-macos-vm-and-how-small-could-it-be/ Comments URL: https://news.ycombinator.com/item?id=47984852 Points: 63 # Comments: 16
Hi HN — author here. iesna.eu is a browser-based ecosystem for working with photometric data: parsing standard luminaire files (LDT/EULUMDAT, IES LM-63, Oxytech, ATLA-S001), running design calculations against EN 13201 / ANSI/IES RP-8 / CJJ 45 / IES-IDA MLO, and (the part I most want to show off here) rendering real urban scenes in Bevy with the photometric data driving actual streetlight behavior, including sky-glow contribution. The Skyglow Analysis demo loads a real LDT file into a Bevy scene (Khronos Bistro test asset). The luminaire's intensity distribution drives the streetlight rendering directly — no fudging — and the sky-glow grade updates live as you adjust the uplight percentage. Swap to a full-cutoff fixture and the sky goes from F (Severe) back to A (Excellent). You can see the difference on the buildings as well as in the sky. Stack: Rust core (eulumdat-rs and friends, ~20 crates handling photometric formats), Bevy for the 3D rendering, WASM for browser deployment. No backend; everything runs client-side. About a thousand lines of new code on top of the existing photometric library to make the Bevy integration work. Things I'd love feedback on: The atmospheric scattering model is currently single-scattering Rayleigh+Mie. Is that defensible for the use case, or should I move toward multi-scattering? The Bistro test scene works well visually but isn't a controlled environment. Anyone know of a public urban geometry asset that's more typical of real road-lighting evaluation? The CJJ 45 implementation (China's national road lighting standard) is the only one I've had to reverse-engineer from translated PDFs. If anyone has primary-source experience with it, I'd value a sanity check. Open-source on GitHub (eulumdat-rs and the related crates). Crates.io: eulumdat Comments URL: https://news.ycombinator.com/item?id=47984734 Points: 22 # Comments: 6
Hey HN! I built SimplePDF Copilot: an AI assistant that can interact with the PDF editor. It fills fields, answers questions, focuses on a specific field, adds fields, deletes pages, and so on. It's built on top of SimplePDF that I started 7 years ago, pioneering privacy-respecting client-side pdf editing, now used monthly by 200k+ people. As for the privacy model: the PDF itself never leaves the browser. Parsing, rendering, and field detection all run client-side. The text the model needs (and your messages) goes to whatever LLM you point at. By default that's our demo proxy (DeepSeek V4 Flash, rate-capped), but you can BYOK and point it at any cloud provider, or go fully local (I've been testing with LM Studio). Unlike the existing "Chat with PDF" tools that only retrieve the text/OCR layer, Copilot can act on the PDF: filling fields, adding fields (detected client-side using CommonForms by Joe Barrow [1], jbarrow on HN with some post-processing heuristics I added on top), focusing on fields, deleting pages, and so on. I built this because SimplePDF is mostly used by healthcare customers where document privacy is paramount, and I wanted an AI experience that didn't require shipping PII to a third party. Stack is pretty standard: - Tanstack Start - AI SDK from Vercel - Tailwind (I personally prefer CSS modules, I'm old-school but the goal since I open source it, I figured that Tailwind would be a better fit) The more interesting part is the client-side tool calling: events are passed back and forth via iframe postMessage. If you're not familiar with "tool calling" and "client-side tool calling", a quick primer: Tool calling is what LLMs use to take actions. When Claude runs grep or ls, or hits an MCP server, those are tool calls. Client-side tool calling means the intent to call a tool comes from the LLM, but the execution happens in the browser. That matters for: speed, you can't go faster than client-to-client operations and also gives you the ability to limit the data you expose to the LLM. For the demo I do feed the content of the document to the LLM, but that connection could be severed as simply as removing the tool that exposes the content data. The demo is fully open source, available on Github [2] and the demo is the same as the link of this post [3] What's not open source is SimplePDF itself (loaded as the iframe). I could talk on and on about this, let me know if you have any questions, anything goes! [1] https://github.com/jbarrow/commonforms [2] https://github.com/SimplePDF/simplepdf-embed/tree/main/copil... [3] https://copilot.simplepdf.com/?share=a7d00ad073c75a75d493228... Comments URL: https://news.ycombinator.com/item?id=47984675 Points: 22 # Comments: 12
Hello HN, over the past 7 months I've spent nearly 3,000 hours on building SNEWPAPERS, the first historical newpaper archive with full-text extractions, nearly perfect OCR, a vast categorization taxonomy and of course with semantic and agentic search capabilities. Problem: I wanted to search through newspaper archives, but when I tried every service only lets you search for keywords and dates, and gives you back raw images of the papers, and too many of them with no context. A sea of noise. Solution: I taught machines how to read the newspapers and so far I've extracted the content from > 600k pages (about 5TB) from the Chronicling America collection. Problems I had to deal with were an infinite variety of layouts, font sizes, image scan qualities, resolutions, aspect ratios, navigating around the images on the page. I also had to figure out how to get OCR to be nearly perfect so people wouldn't hate reading the extracts. I stitched together a multi-model pipeline (layout tech, ocr tech, llm, vllm) with heuristics to go from layout -> segmentation -> classification. I put it all in OpenSearch / Postgres and made it semantically searchable and also put an agentic search tool on top that knows how to use the API really well and helps you write queries to find what you're looking for. Happy to discuss AWS architecture and scaling as well, that was tough! If you have five minutes and you just want to jump in and have your own personalized experience, what I would suggest is: Before searching for anything, go to the Sleuth page Ask it about anything from 1736 to 1963, maybe 1 or 2 follow up questions Then go to the search page so you can see the queries it wrote for you (bottom left "saved queries") and uncover more info on whatever it is you're interested in If you think it's cool and you want to learn more, then there's about 10 minutes of video guides on the various capabilities in "Guide" on the nav bar Some other people have also taken a crack at this, notably: https://dell-research-harvard.github.io/resources/americanst... (very good attempt) https://labs.loc.gov/work/experiments/newspaper-navigator/ (focused on images) Comments URL: https://news.ycombinator.com/item?id=47984614 Points: 16 # Comments: 11
Article URL: https://devblogs.microsoft.com/oldnewthing/20150417-00/?p=44213 Comments URL: https://news.ycombinator.com/item?id=47984522 Points: 70 # Comments: 35
Article URL: https://mathstick.github.io Comments URL: https://news.ycombinator.com/item?id=47983485 Points: 18 # Comments: 17
Article URL: https://www.ycombinator.com/companies/collectwise/jobs/rEWfZ6R-senior-forward-deployed-engineer Comments URL: https://news.ycombinator.com/item?id=47983385 Points: 0 # Comments: 0
Article URL: https://www.noctua.at/en/expertise/blog/how-can-it-take-so-long-to-release-black-fan-versions Comments URL: https://news.ycombinator.com/item?id=47983352 Points: 337 # Comments: 158
Article URL: https://www.ask.com/ Comments URL: https://news.ycombinator.com/item?id=47983226 Points: 74 # Comments: 35
Article URL: https://github.com/rancher/k3k Comments URL: https://news.ycombinator.com/item?id=47983176 Points: 73 # Comments: 40
Article URL: https://github.com/0xhimanshu/governor Comments URL: https://news.ycombinator.com/item?id=47982718 Points: 8 # Comments: 1
Article URL: https://github.com/lahfir/agent-desktop Comments URL: https://news.ycombinator.com/item?id=47982708 Points: 9 # Comments: 0
Article URL: https://www.citadelsecurities.com/news-and-insights/2026-global-intelligence-crisis/ Comments URL: https://news.ycombinator.com/item?id=47982512 Points: 47 # Comments: 11
Article URL: https://evilgeniuslabs.ca/blog/good-developers-learn-to-program-not-a-language Comments URL: https://news.ycombinator.com/item?id=47981995 Points: 82 # Comments: 48
Article URL: https://mirandaheath.website/static/oss_burnout_report_mh_25.pdf Comments URL: https://news.ycombinator.com/item?id=47981669 Points: 47 # Comments: 12
Article URL: https://metin.nextc.org/posts/Credit_Cards_Are_Vulnerable_To_Brute_Force_Kind_Attacks.html Comments URL: https://news.ycombinator.com/item?id=47979839 Points: 9 # Comments: 4
Article URL: https://education.ti.com/en/products/calculators/graphing-calculators/ti-84-evo Comments URL: https://news.ycombinator.com/item?id=47979583 Points: 31 # Comments: 19
Destiny is the Claude Code's plugin that gives you a real fortune reading. Type /destiny to see today's destiny! It uses the actual classical East Asian astrology system. You enter your birthday once, then /destiny gives you today's reading anytime. Two layers, kept honest: 1. The numbers (your eight-character birth chart, today's day pillar, the hexagram for the moment, five-element relationships) are computed by a Python script. Same person + same day = identical output. You can verify against any traditional calendar source. 2. The prose (today's stars, character sketch, life arc, advice) is written by Claude, applying centuries-old reading conventions to that fixed data. Not LLM-hallucinated horoscope. If you have fun with it, a star would mean a lot. Comments URL: https://news.ycombinator.com/item?id=47979438 Points: 15 # Comments: 0
Article URL: https://courses.joshwcomeau.com/wham/open-house/00-introduction Comments URL: https://news.ycombinator.com/item?id=47979190 Points: 20 # Comments: 4
Article URL: https://arstechnica.com/security/2026/05/ubuntu-infrastructure-has-been-down-for-more-than-a-day/ Comments URL: https://news.ycombinator.com/item?id=47978892 Points: 42 # Comments: 8
Article URL: https://github.com/microsoft/lib0xc Comments URL: https://news.ycombinator.com/item?id=47978834 Points: 7 # Comments: 1
Article URL: https://www.404media.co/city-learns-flock-accessed-cameras-in-childrens-gymnastics-room-as-a-sales-pitch-demo-renews-contract-anyway/ Comments URL: https://news.ycombinator.com/item?id=47978370 Points: 149 # Comments: 24
https://archive.ph/6wKhx Comments URL: https://news.ycombinator.com/item?id=47977748 Points: 93 # Comments: 43
Hi HN, I'm Zach, one of the co-founders of Adam (https://adam.new). We've been on HN twice before with text-to-CAD/3D experiments [1][2]. The honest takeaway from those threads: prompt-to-3D model web apps are fun, but serious mechanical engineers don't want a black box that spits out an STL. They want help inside the CAD tool they already use, with full visibility and control over the feature tree. So we built that. Adam is now a harness that integrates directly with your CAD. It reads your parts, understands the existing feature tree, and edits it for you agentically. We are now live in beta on Onshape and Fusion! [3]: Install link Autodesk Fusion: https://fusion.adam.new/install Install link PTC Onshape: https://cad.onshape.com/appstore/apps/Design%20&%20Documenta... Things people are using it for today: - "Merge redundant features and clean up my tree" - "Rename every feature so the tree is actually readable" - "Round all internal edges with a 2mm fillet" - “Parametrize my model” Along with of course, using Adam to generate CAD end-to-end! A few things we care about that aren't obvious from the listing: 1. From the start we have always believed in CAD as code as the right abstraction. Our harness leverages Onshape's FeatureScript and Python in Fusion heavily. 2. We run an internal CAD benchmark across frontier models. There has been a massive jump in the spatial reasoning capabilities of recently released models. Particularly GPT 5.5 and Opus 4.7 [4] [5] 3. We open-sourced our earlier text-to-CAD work [6] A note on the Anthropic Autodesk connector that shipped a couple days ago [7]: We think it's great for the space and validates the direction. Where Adam is different: - Model-agnostic. We pick whichever frontier model is winning on each task type from our own internal bench, instead of being tied to one lab. - We live natively in your CAD apps and are actively building integrations across all programs What would you want an in-CAD agent to do that nothing does today? [1] https://news.ycombinator.com/item?id=44182206 [2] https://news.ycombinator.com/item?id=45140921 [3] https://x.com/adamdotnew/status/2050264512230719980?s=20 [4] https://x.com/adamdotnew/status/2044859329329893376?s=20 [5] https://x.com/adamdotnew/status/2047795078912172122?s=20 [6] https://github.com/Adam-CAD/CADAM [7] https://x.com/claudeai/status/2049143440508616863?s=20 Comments URL: https://news.ycombinator.com/item?id=47977694 Points: 32 # Comments: 37
Article URL: https://github.com/calebwin/gitgres Comments URL: https://news.ycombinator.com/item?id=47977659 Points: 32 # Comments: 17
Article URL: https://alearningaday.blog/2026/05/01/artemis-ii-fault-tolerance/ Comments URL: https://news.ycombinator.com/item?id=47977645 Points: 30 # Comments: 17
Article URL: https://midnightmurmurations.substack.com/p/the-x-files-has-made-me-nostalgic Comments URL: https://news.ycombinator.com/item?id=47977583 Points: 97 # Comments: 98
Article URL: https://arstechnica.com/gadgets/2026/05/amazon-stuck-with-months-of-repairs-after-drone-strikes-on-data-centers/ Comments URL: https://news.ycombinator.com/item?id=47977498 Points: 87 # Comments: 27
Article URL: https://github.com/Lum1104/Understand-Anything Comments URL: https://news.ycombinator.com/item?id=47977470 Points: 57 # Comments: 17
Article URL: https://californiawaterblog.com/2026/04/26/ai-water-use-distractions-and-lessons-for-california/ Comments URL: https://news.ycombinator.com/item?id=47977383 Points: 238 # Comments: 223
Article URL: https://github.com/Exocija/ZetaLib/blob/main/The%20Gay%20Jailbreak/The%20Gay%20Jailbreak.md Comments URL: https://news.ycombinator.com/item?id=47977134 Points: 208 # Comments: 68
Article URL: https://simonwillison.net/2026/Apr/24/deepseek-v4/ Comments URL: https://news.ycombinator.com/item?id=47977026 Points: 190 # Comments: 95
Article URL: https://www.bbc.com/news/articles/c5yerr4m1yno Comments URL: https://news.ycombinator.com/item?id=47976856 Points: 132 # Comments: 140
Article URL: https://ews.kylemcdonald.net/ Comments URL: https://news.ycombinator.com/item?id=47976566 Points: 50 # Comments: 18
Article URL: https://keepthingsopen.com Comments URL: https://news.ycombinator.com/item?id=47975785 Points: 181 # Comments: 11
I'll be here for the next 6 hours. As usual, there are lots of possible topics and I'll be guided by whatever you're interested in. Please remember that I can't provide legal advice on specific cases because I won't have access to all the facts. Please try to stick to a factual discussion in your questions and comments and I'll try to do the same in my answers! Previous threads we've done: https://news.ycombinator.com/submitted?id=proberts. Comments URL: https://news.ycombinator.com/item?id=47975676 Points: 102 # Comments: 163
Article URL: https://github.com/whohas/whohas Comments URL: https://news.ycombinator.com/item?id=47975592 Points: 134 # Comments: 31
Share your information if you are looking for work. Please use this format: Location: Remote: Willing to relocate: Technologies: Résumé/CV: Email: Readers: please only email these addresses to discuss work opportunities. Searchers: try https://nthesis.ai/public/hn-wants-to-be-hired, https://www.wantstobehired.com. Comments URL: https://news.ycombinator.com/item?id=47975570 Points: 123 # Comments: 258
Please state the location and include REMOTE for remote work, REMOTE (US) or similar if the country is restricted, and ONSITE when remote work is not an option. Please only post if you personally are part of the hiring company—no recruiting firms or job boards. One post per company. If it isn't a household name, explain what your company does. Please only post if you are actively filling a position and are committed to replying to applicants. Commenters: please don't reply to job posts to complain about something. It's off topic here. Readers: please only email if you are personally interested in the job. Searchers: try https://nthesis.ai/public/hn-who-is-hiring, https://dheerajck.github.io/hnwhoishiring/, http://nchelluri.github.io/hnjobs/, https://hnjobs.emilburzo.com, or this (unofficial) Chrome extension: https://chromewebstore.google.com/detail/hn-hiring-pro/mpfal.... Don't miss this other fine thread: Who wants to be hired? https://news.ycombinator.com/item?id=47975570 Comments URL: https://news.ycombinator.com/item?id=47975571 Points: 242 # Comments: 262
Article URL: https://www.pagetable.com/?p=1854 Comments URL: https://news.ycombinator.com/item?id=47973755 Points: 10 # Comments: 1
Hi HN, I've been playing around with Cloudflare's Browser Run and Workers AI to create this funny "website vs website"-website. Google's Gemma 4b model is actually quite good at vision. Comments URL: https://news.ycombinator.com/item?id=47973559 Points: 10 # Comments: 5
Article URL: https://xcancel.com/aaronp613/status/2049986504617820551 Comments URL: https://news.ycombinator.com/item?id=47973378 Points: 54 # Comments: 23
Article URL: https://websmith.studio/blog/your-website-is-not-for-you/ Comments URL: https://news.ycombinator.com/item?id=47973376 Points: 58 # Comments: 30
Article URL: https://techcrunch.com/2026/04/30/after-dissing-anthropic-for-limiting-mythos-openai-restricts-access-to-cyber-too/ Comments URL: https://news.ycombinator.com/item?id=47973108 Points: 74 # Comments: 45
Article URL: https://btxx.org/posts/beginners-guide-sourcehut/ Comments URL: https://news.ycombinator.com/item?id=47973084 Points: 29 # Comments: 7
Hi HN, I'm Erwin. I built a small free open-source utility that bridges Bluetooth LE MIDI keyboards into the new Windows MIDI Services stack so any DAW or Web MIDI app can use them as if they were wired. I bought a Roland FP-90X piano partly because it had Bluetooth MIDI. On my Windows 11 PC, pairing succeeded, but my DAW couldn't see the keyboard, and notes I sent from the PC never made the piano sing. After a regrettable number of evenings, I'd separated this into three independent bugs stacked on top of each other. The first one is the famous one: Windows only natively exposes BLE-MIDI through the WinRT API, which almost no DAW polls. So even when pairing succeeds, MIDI apps still don't see the device. The usual workaround is MIDIberry + loopMIDI, but I couldn't get that combination to work reliably in my case, and I wanted a single-app solution. The new Windows MIDI Services stack ships with a feature called loopback endpoints: anything written to one comes out the other, and any winmm/WinRT/WMS app sees them as normal MIDI ports. So the app does WinRT BLE-MIDI in, WMS loopback out. That solved direction one, piano to PC. Direction two, PC to piano, still didn't work. NoteOn writes were getting ATT-acked, but the piano stayed silent. I tried both write modes (some BLE-MIDI firmware silently drops one or the other), poked the proprietary ISSC characteristic. Every variant ATT-acked, every variant produced silence. So the bytes were reaching the piano. Something above the GATT layer was discarding them. After ruling out pairing, encryption, write-mode, and proprietary characteristics, the only obvious lever left was the MIDI channel itself. The FP-90X has a panel setting called Transmit Channel, default 1. Yet it turns out the FP-90X actually receives on channel 4 (and it can't be changed). Notes I sent on channel 1 were being GATT-acked and silently dropped at the synth engine because they weren't on the channel the engine was listening to. Zero feedback at any layer. The fix had to live up at the application layer, so I added a Detect button that plays N test notes ascending on each channel from 1 to 16: you count the notes you actually hear, and that number is the receive channel. Saved per BLE MAC, about 75 seconds, done forever per piano. Tech stack: .NET 10, Avalonia for the UI (the BLE/MIDI side is Windows-only but the UI layer is portable), Microsoft.Windows.Devices.Midi2 packages for WMS, Windows.Devices.Midi (WinRT) directly for BLE rather than relying on Korg's older WinMM driver. MIT, single self-contained ~21 MB exe, no installer, no telemetry, no account. I built it for myself and use it with my FP-90X to play through a few apps and Web MIDI sites. Pete from the Microsoft Windows MIDI Services team commented positively on the BLE integration when I shared it on r/synthesizers (https://www.reddit.com/r/synthesizers/comments/1szvuiq/comme...). Site (with screenshots): https://mayerwin.github.io/Perfect-Bluetooth-MIDI-For-Window... Source: https://github.com/mayerwin/Perfect-Bluetooth-MIDI-For-Windo... Long-form technical writeup with the full debugging story: https://dev.to/mayerwin/why-your-bluetooth-midi-keyboard-sil... Personally tested with my FP-90X only. The BLE side is generic, so other keyboards (WIDI Master, CME, Yamaha MD-BT01, Korg microKey Air, ROLI Seaboard, etc.) should work, but I haven't confirmed individually. Device test reports, issues, and PRs very welcome. Comments URL: https://news.ycombinator.com/item?id=47972888 Points: 49 # Comments: 8
Article URL: https://skysedge.com/telecom/RUSP/index.html Comments URL: https://news.ycombinator.com/item?id=47972807 Points: 40 # Comments: 6
Article URL: https://github.com/intel/auto-round Comments URL: https://news.ycombinator.com/item?id=47972659 Points: 6 # Comments: 0
USB-C cables can be a mess. One cable charges at 5W, another does 100W and Thunderbolt 4, and they look identical in the drawer. WhatCable sits in your menu bar and reads the cable data your Mac already has access to. Plug in a cable and it tells you in plain English what it can actually do: charging wattage, data speed, display support, Thunderbolt, etc. Built in Swift/SwiftUI. Open source, free, no tracking. GitHub: https://github.com/darrylmorley/whatcable Comments URL: https://news.ycombinator.com/item?id=47972511 Points: 172 # Comments: 59
Article URL: https://docs.x.ai/developers/models/grok-4.3 Comments URL: https://news.ycombinator.com/item?id=47972447 Points: 153 # Comments: 203
Article URL: https://lovable.dev/blog/hunting-networking-bugs-in-kubernetes Comments URL: https://news.ycombinator.com/item?id=47972367 Points: 29 # Comments: 2
Article URL: https://github.com/kernalix7/winpodx Comments URL: https://news.ycombinator.com/item?id=47970690 Points: 46 # Comments: 25
Article URL: https://openwarp.zerx.dev Comments URL: https://news.ycombinator.com/item?id=47970622 Points: 52 # Comments: 54
Article URL: https://fabiensanglard.net/snes_hearts/ Comments URL: https://news.ycombinator.com/item?id=47970578 Points: 11 # Comments: 2
Article URL: https://clawirc.com/ Comments URL: https://news.ycombinator.com/item?id=47970089 Points: 6 # Comments: 0
Article URL: https://phys.org/news/2026-04-universal-patterns-emerge-languages-vocabularies.html Comments URL: https://news.ycombinator.com/item?id=47969522 Points: 15 # Comments: 1
Article URL: https://labs.watchtowr.com/the-internet-is-falling-down-falling-down-falling-down-cpanel-whm-authentication-bypass-cve-2026-41940/ Comments URL: https://news.ycombinator.com/item?id=47969288 Points: 65 # Comments: 19
Article URL: https://sciencex.com/news/2026-04-snowball-earth-stranger-climate.html Comments URL: https://news.ycombinator.com/item?id=47968982 Points: 58 # Comments: 7
Article URL: https://rivian.com/support/article/can-i-disable-all-data-collection-from-my-vehicle Comments URL: https://news.ycombinator.com/item?id=47967786 Points: 66 # Comments: 17
Article URL: https://theupsellgame.com/ Comments URL: https://news.ycombinator.com/item?id=47967508 Points: 7 # Comments: 0
Article URL: https://www.wsj.com/politics/policy/senators-vote-to-ban-themselves-from-trading-on-prediction-markets-ae4535dd Comments URL: https://news.ycombinator.com/item?id=47967289 Points: 116 # Comments: 44
Article URL: https://404privacy.com/blog/linkedin-is-scanning-your-browser-extensions-this-is-how-they-use-the-data/ Comments URL: https://news.ycombinator.com/item?id=47967262 Points: 41 # Comments: 7
Article URL: https://dustri.org/b/follow-up-to-carrot-disclosure-forgejo.html Comments URL: https://news.ycombinator.com/item?id=47967069 Points: 16 # Comments: 5
Article URL: https://www.dbos.dev/blog/benchmarking-workflow-execution-scalability-on-postgres Comments URL: https://news.ycombinator.com/item?id=47966625 Points: 37 # Comments: 13
Article URL: https://contralabs.com/research/human-creativity-benchmark Comments URL: https://news.ycombinator.com/item?id=47966484 Points: 12 # Comments: 1
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