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With the major help from @roothideDev , finally made MYbloXX from @MYXXdev both working on Rootless and Roothide!! Now you can even control the powerful systemwide adblocker with Shortcut app!! Mad respect to them o7

iOS and macOS decompiler for IPA files github.com/LaurieWired/Ma…

绝了！刚看到个老外开源的狠东西！！ 你有想过如果全世界互联网瞬间消失，你的电脑还能干什么？ 有人刚开源了一个断网生存包。 Project N.O.M.A.D。 哪怕所有网线都被人拔了，它照样能跑。 里面打包的是人类文明基础数据—— 全套维基百科、全球离线地图、完整的医学参考指南。 5000年人类文明，可汗学院的全套课程，也给你塞进去了。 甚至还内置了一个完全本地运行的AI助手。 没网、没云、没订阅费。 这套系统得配多大机房？ 一块太阳能板，一块电池，一台迷你主机，一个无线路由。 就这些。 运行功耗15到65瓦。 扔房车里、帆船上、地下掩体里，它就是你的知识庇护所。 这玩意儿直接送你一个带脑子、能对话的离线知识库。 一行命令装完。 只要有电，人类的知识就永远不会下线。 所以ai的尽头还是：电？

After a lot of testings, its now out. 0xkuj.yourepo.com/pack/speedads2… Currently paid, in the future will make it free. Your feedback is highly appreciated!

这个号称完美主义者的 UI 框架细节确实到位，包括这种带 Icon 的按钮左右间距看起来视觉不平衡的细节都考虑到了，AI 是真的做不到这个程度啊 chainlift.io/liftkit

终于有人把 App Store 被拒的坑整理成规则库了 这是个给 Claude Code AI Agent 用的 skill，专门在提交前扫描 iOS/macOS 项目的元数据、代码、配置，抓常见导致被拒的问题。 github.com/truongduy2611/…

IGFormat V1.96 - Keep deleted voice messages: Never miss a voice message again - Hide call buttons : Remove voice & video call - Fixed Upload video to voice message ( 410.0.0 ) - Fixed Get hidden mentions ( 410.0.0 ) - Fixed Download Reels t.me/DENS0R/390

sha256(quark.txt) = b29efa7b27e15d32e42d2acf7c5963aed2b53fbbf27177e4c654930421dddbe5 #coruna

YouTube Music Ultimate 2.4 is out🔥 First release based on community contributions Tweak and changelog: github.com/dayanch96/YTMu… JB/Sideload/Web Repos: dvntm0.github.io Telegram: t.me/dvntms/338

Quick update ( IGFormat v1.95 ) - If you are on iOS 16.3 or below, use IGFormat_410 ( Fixed icon not showing , and Keep deleted messages ) - If you are on iOS 16.3 or above, use IGFormat_419 ( Fixed crash on stories ) t.me/DENS0R/387

If you're scared of malware then just check github.com/khanhduytran0/… We're fully reverse engineered and rewrite all the stuff and patched their dylib to block the malware (the C2 communication thing) You can also check in virustotal anyways (i haven't test on it yet)

Demo: injecting arbitrary tweak to SpringBoard

用时觉得鸡肋 没了觉得可惜😭

Built with Codex. iOS Headers (WIP): headers.82flex.com; iOS Entitlements Database: entitlements.82flex.com

sorry for the long screenshot (youtube related)

my new home screen setup :p

Google has identified the following CVEs as PPL bypasses (17.0+ only applies to A12-A14) CVE-2024-23225: 17.0-17.3 CVE-2024-23296: 17.1-17.4 16.5.1-16.7.8 are also vulnerable to plenty of PPL bypasses Also, some pages are still up! Archive them while you can since these can be later exploited for jailbreak and such.

Someone out there now has the chance to run macOS with native A18 Pro driver on his funny iPhone

VibeTok V1.72 - Story View Count : Show the number of views on stories - Lock favorites : Authenticate to view favorites • Bug Fixes & Performance Improvements t.me/DENS0R/384

BOOM! Apple’s Neural Engine Was Just Cracked Open, The Future of AI Training Just Change And Zero-Human Company Is Already Testing It! In a jaw-dropping open-source breakthrough, a lone developer has done what Apple said was impossible: full neural network training– including backpropagation – directly on the Apple Neural Engine (ANE). No CoreML, no Metal, no GPU. Pure, blazing ANE silicon. The project (github.com/maderix/ANE) delivers a single transformer layer (dim=768, seq=512) in just 9.3 ms per step at 1.78 TFLOPS sustained with only 11.2% ANE utilization on an M4 chip. That’s the same idle chip sitting in millions of Mac minis, MacBooks, and iMacs right now. Translation? Your desktop just became a hyper-efficient AI supercomputer. The numbers are insane: M4 ANE hits roughly 6.6 TFLOPS per watt – 80 times more efficient than an NVIDIA A100. Real-world throughput crushes Apple’s own “38 TOPS” marketing claims. And because it sips power like a phone, you can train 24/7 without melting your electricity bill or the planet. At The Zero-Human Company, we’re not waiting. We are testing this right now on real ZHC workloads. This is the missing piece we’ve been chasing for our Zero Human Company vision: reviving archived data into fully autonomous AI systems with zero human overhead. This is world-changing. For the first time, anyone with a Mac can fine-tune, train, or iterate massive models locally, privately, and at a fraction of the cost of cloud GPUs. No more renting $40,000 A100 clusters. No more waiting in queues. No more massive carbon footprints. Training costs that used to run into the tens or hundreds of thousands of dollars? Plummeting toward pennies on the dollar – mostly just the electricity your Mac was already using while it sat idle. The AI revolution just moved from billion-dollar data centers to your desk. WE WILL HAVE A NEW ZERO-HUMAN COMPANY @ HOME wage for equipped Macs that will be up to 100x more income for the owner! We’re only at the beginning (single-layer today, full models tomorrow), but the door is wide open. Ultra-cheap, on-device training is here. The future isn’t coming. It’s already running on your Mac. Welcome to the Zero-Human Company era.

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