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**What Youโll Learn**: MuMu Player Pro for macOS (by NetEase) executes a comprehensive system data collection routine every 30 minutes while the emulator is running. This includes enumerating all devices on your local network, capturing every running process with full command-line arguments, inventorying all installed applications, reading your hosts file, and dumping kernel parameters -- all tied to your Mac's serial number via SensorsData analytics. None of this is disclosed in MuMu's privacy policy. None of it is necessary for an Android emulator to function. App: MuMu Player…
๐ Discover this insightful post from Hacker News ๐ ๐ **Category**: ๐ **What Youโll Learn**: Open-source, multi-model AI sidebar add-in for Microsoft Excel. Powered by Pi. Pi for Excel is an AI agent that lives inside Excel. It reads your workbook, makes changes, and does research โ using any model you choose. Bring your own API key or OAuth login for Anthropic, OpenAI, Google Gemini, or GitHub Copilot. Core spreadsheet tools โ 16 built-in tools that the AI can call to interact with your workbook: Tool What it does get_workbook_overview Structural blueprint โ sheets, headers, named ranges, tables, charts, pivots…
โจ Check out this trending post from Hacker News ๐ ๐ **Category**: ๐ **What Youโll Learn**: More information: read the article on Medium reading the undocumented mems accelerometer on apple silicon macbooks via iokit hid apple silicon chips (M1/M2/M3/M4) have a hard to find mems accelerometer managed by the sensor processing unit (SPU). it's not exposed through any public api or framework. this project reads raw 3-axis acceleration data at ~800hz via iokit hid callbacks. only tested on macbook pro m3 pro so far - might work on other apple silicon macs but no guarantees the sensor lives under AppleSPUHIDDevice…
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**What Youโll Learn**: Diffusion Language Models (DLMs) are emerging as a promising alternative to autoregressive (AR) LMs. Instead of generating one token at a time, DLMs iteratively refine a partially masked sequence over multiple sampling steps, gradually transforming a fully masked sequence into clean text. This refinement process creates a compelling opportunity: it enables parallel generation, allowing the model to finalize multiple tokens per iteration and potentially achieve higher throughput than AR decoding. At the same time, it can exploit bidirectional context to unlock new capabilities such as…
๐ฅ Explore this insightful post from Hacker News ๐ ๐ **Category**: ๐ก **What Youโll Learn**: Archival storage poses lots of challenges. We want media that is extremely dense and stable for centuries or more, and, ideally, doesnโt consume any energy when not being accessed. Lots of ideas have floated aroundโeven DNA has been consideredโbut one of the simplest is to cut the data into glass. Many forms of glass are very physically and chemically stable, and itโs relatively easy to create features in it. Thereโs been a lot of preliminary work demonstrating different aspects of a glass-based storage system. But…
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**What Youโll Learn**: Context: An AI agent of unknown ownership autonomously wrote and published a personalized hit piece about me after I rejected its code, attempting to damage my reputation and shame me into accepting its changes into a mainstream python library. This represents a first-of-its-kind case study of misaligned AI behavior in the wild, and raises serious concerns about currently deployed AI agents executing blackmail threats. Start with these if youโre new to the story: An AI Agent Published a Hit Piece on Me, More Things…
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**What Youโll Learn**: Iโve always wanted an ARM server in my homelab. But earlier, I either had to use an underpowered ARM system, or use Asahi which not only requires expensive Mac hardware but also slowed down in the past few years. Then Minisforum introduced the MS-R1 Mini PC. Two MS-01s were already incumbent in my homelab when they replaced power-hungry HPE towers, but the MS-R1 gave me what I wanted: a reasonably powerful ARM machine which doesnโt have bank-breaking Mac pricing. Assembly I got the MS-R1 barebones…
๐ Explore this trending post from Hacker News ๐ ๐ **Category**: ๐ **What Youโll Learn**: Simple library for Western music theory in C99 Small & Easy-to-use Interval, Chord, Scale, and Key Signature functions No Internal Memory Allocation Supports Theoretical Keys (eg Fb+) No Accidental Limit (eg G 20th sharp) Enharmonically Correct (eg minor 6th of D is Bb, not A#) 100% Test Coverage Here's an example that creates the C4 Blues Scale, ascending: struct mah_note notes[7]; struct mah_scale scale = mah_get_scale( (struct mah_note) โก, &MAH_BLUES_SCALE, notes, MAH_ASCEND, NULL ); And if you want to print it: char buf[MAH_DISP_LEN]; for (int…
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**What Youโll Learn**: We're thinking about AI wrong. I keep noticing the same pattern: companies that treat AI as an autonomous agent that should "just figure it out" tend to be disappointed. Meanwhile, companies that treat AI as an extension of their existing workforce, an amplifier of human capability rather than a replacement, are seeing genuinely transformative results. Thats not to say that AI can't act automonously with specific tasks (see the rise of OpenClaw as a viral proof of concept), but even that still acts as an…
โจ Discover this trending post from Hacker News ๐ ๐ **Category**: ๐ **What Youโll Learn**: A Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents English | ็ฎไฝไธญๆ | ็น้ซไธญๆ | ํ๊ตญ์ด | Deutsch | Espaรฑol | Franรงais | Italiano | Dansk | ๆฅๆฌ่ช | Polski | ะ ัััะบะธะน | Bosanski | ุงูุนุฑุจูุฉ | Norsk | Portuguรชs (Brasil) | เนเธเธข | Tรผrkรงe Panes get a blue ring and tabs light up when AI agents need your attention See all pending notifications in one place, jump to the most recent unread Split a browser alongside your terminal with a…
