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How 97.7% of Palworld breeding recipes silently changed in 1.0 — and how to find what yours became

You followed an old breeding guide. You put Penking + Bushi into your breeding farm, dropped the cake, waited for the egg... and out hatched Sibelyx , not the Anubis the guide promised. You're not alone. Your guide isn't broken. The recipe changed. When Palworld hit 1.0, the breeding table got quietly rewritten. Almost every pairing that players had memorized from early-access now produces a different Pal. There's no in-game notice, no patch note that lists the hundreds of changed combos — just a lot of confused hatchings. So I dug into the data. Here's what I found, and the small tool I built to make sense of it. What actually changed in 1.0 I compared two snapshots of the game's breeding data — the pre-1.0 set and the current 1.0 release — both sourced from the open-source PalCalc project. The headline number: 97.7% of comparable pre-1.0 parent pairs now produce a different Pal. That's not a typo. If you take the breeding pairs that existed before 1.0 and run them against the current data, nearly all of them hatch something new. A few concrete examples players keep running into: Old recipe (pre-1.0) What it makes now (1.0) Penking + Bushi Anubis → Sibelyx ... (more pairs in the tool) The mismatch matters because most breeding guides and calculators on the internet still show the old results. Players follow them, breed, and get confused. The subtle trap: renumbering vs. real change There's a detail that trips up every breeding tool that tries to track this. When Palworld 1.0 launched, it also renumbered parts of the Paldeck (Pal #139 vs #116, etc.). A naive diff tool would see the number change and wrongly report "the breeding result changed!" — when really only the number changed, not the actual Pal. To avoid that false signal, I match Pals by their internal game name , not their Paldeck number. A renumbering is not mistaken for a changed breeding result. Only genuine recipe changes are counted. The tool: PalShift I wanted a dead-simple way to answer one question:

2026-07-21 原文 →
AI 资讯

DeviceShelf for iOS is out of TestFlight and on the App Store

I'm the developer of DeviceShelf, a local-first network scanner for desktop, mobile and a headless server edition. Until this week the iOS app only existed on TestFlight. Apple has now approved version 1.3.0, so for the first time you can get it straight from the App Store: DeviceShelf on the App Store . What the app does on a phone The iOS app is not a companion viewer. It runs the same scanning engine as the desktop version: it scans the network you're on, identifies devices (vendor, type, OS fingerprint), shows open ports per device, builds a security report, and raises presence alerts when devices appear or drop off. You can export and share results from the phone. The multicast entitlement iOS restricts multicast traffic for ordinary apps, and SSDP/UPnP discovery depends on it. Apple grants the multicast entitlement on request, and DeviceShelf's App Store build has it. In practice, UPnP/SSDP devices show up in scans on the phone the same way they do on desktop. Licensing The download is free and comes with a trial. Full features unlock in one of two ways: activate a DeviceShelf license, which covers desktop, mobile and the server edition with a single purchase, or use the in-app purchase upgrade on iOS. Pricing is on the website if you want the details. Local-first, on mobile too Scans stay on the device. There is no cloud account, and the AI-assisted device identification is bring-your-own-key; no key is bundled or required. The app is still young, and a phone is an unforgiving place for a network scanner. If it mislabels a device on your network or misses one entirely, I'd genuinely like to hear about it. Website: deviceshelf.app

2026-07-21 原文 →
AI 资讯

RSPack 2.0: Performance Gains, Leaner Dependencies and ESM Core

Rspack, developed by ByteDance, has released version 2.0, featuring enhanced performance, reduced dependencies, and a focus on modern ECMAScript modules. Key updates include a pure ESM core, improved static analysis, and support for RSC. Performance benchmarks show big improvements in build times. The project has experienced substantial growth, with npm downloads exceeding 5 million weekly. By Daniel Curtis

2026-07-21 原文 →
AI 资讯

The Light Flip is a minimalist flip phone with a point to prove

A few years ago, the team at Light shipped the most smartphone-like device they'd ever created. The Light Phone III still kept to its minimalist, no-distractions ethos, but it was a phone-size rectangle with a phone-size touchscreen, a camera, and a number of other features. Some people loved having an almost-smartphone, but Kaiwei Tang, Light's […]

2026-07-21 原文 →
产品设计

Stellantis taps Mobileye for hands-free driving assist

Stellantis will use technology from Intel's Mobileye to power its Level 2 hands-free driving features for its vehicle brands, the companies announced Tuesday. Starting in 2027, Stellantis will begin using Mobileye's EyeQ system-on-a-chip and a data crowdsourcing program called the Road Experience Management, or REM, which uses real-time data from Mobileye-equipped vehicles to build out […]

2026-07-21 原文 →