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Blog / Faster asin() Was Hiding In Plain Sight

Blog / Faster asin() Was Hiding In Plain Sight

๐Ÿ’ฅ Explore this awesome post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: ๐Ÿ’ก **What Youโ€™ll Learn**: This one is going to be a quick one as there wasn't anything new discovered. In fact, I feel quite dumb. This is really a tale of "Do your research before acting and know what your goal is," as you'll end up saving yourself a lot of time. Nobody likes throwing away work they've done either, and there could be something here that is valuable for someone else. I still can't escape PSRayTracing. No matter how hard I try to shelve that project, every once…
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How We Hacked McKinsey’s AI Platform โ€” CodeWall.ai

How We Hacked McKinsey’s AI Platform โ€” CodeWall.ai

๐Ÿš€ Explore this insightful post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: ๐Ÿ“Œ **What Youโ€™ll Learn**: McKinsey & Company โ€” the world's most prestigious consulting firm โ€” built an internal AI platform called Lilli for its 43,000+ employees. Lilli is a purpose-built system: chat, document analysis, RAG over decades of proprietary research, AI-powered search across 100,000+ internal documents. Launched in 2023, named after the first professional woman hired by the firm in 1945, adopted by over 70% of McKinsey, processing 500,000+ prompts a month. So we decided to point our autonomous offensive agent at it. No credentials. No insider knowledge. And…
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microsoft/BitNet: Official inference framework for 1-bit LLMs ยท GitHub

๐Ÿš€ Discover this must-read post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: ๐Ÿ’ก **What Youโ€™ll Learn**: Try it out via this demo, or build and run it on your own CPU or GPU. bitnet.cpp is the official inference framework for 1-bit LLMs (e.g., BitNet b1.58). It offers a suite of optimized kernels, that support fast and lossless inference of 1.58-bit models on CPU and GPU (NPU support will coming next). The first release of bitnet.cpp is to support inference on CPUs. bitnet.cpp achieves speedups of 1.37x to 5.07x on ARM CPUs, with larger models experiencing greater performance gains. Additionally, it reduces…
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steelbrain/ffmpeg-over-ip: Connect to remote ffmpeg servers ยท GitHub

steelbrain/ffmpeg-over-ip: Connect to remote ffmpeg servers ยท GitHub

โœจ Read this trending post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: โœ… **What Youโ€™ll Learn**: Use GPU-accelerated ffmpeg from anywhere โ€” a Docker container, a VM, or a remote machine โ€” without GPU passthrough or shared filesystems. GPU transcoding is powerful, but getting access to the GPU is painful: Docker containers need --runtime=nvidia, device mounts, and driver version alignment between host and container Virtual machines need PCIe passthrough or SR-IOV โ€” complex setup that locks the GPU to one VM Remote machines need shared filesystems (NFS/SMB) with all the path mapping, mount maintenance, and permission headaches that come with them…
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Opensourcing TADA: Fast, Reliable Speech Generation Through Text-Acoustic Synchronization | Hume Blog

Opensourcing TADA: Fast, Reliable Speech Generation Through Text-Acoustic Synchronization | Hume Blog

๐Ÿ”ฅ Discover this must-read post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: ๐Ÿ’ก **What Youโ€™ll Learn**: The future of voice AI hinges on sounding natural, fast, expressive, and free of quirks like hallucinated words or skipped content. Today's LLM-based TTS systems are forced to choose between speed, quality, and reliability because of a fundamental mismatch between how text and audio are represented inside language models.TADA (Text-Acoustic Dual Alignment) resolves that mismatch with a novel tokenization schema that synchronizes text and speech one-to-one. The result: the fastest LLM-based TTS system available, with competitive voice quality, virtually zero content hallucinations, and a footprint…
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rcarmo/piclaw: I’m going to build my own OpenClaw, with blackjack… and bun! ยท GitHub

rcarmo/piclaw: I’m going to build my own OpenClaw, with blackjack… and bun! ยท GitHub

๐Ÿš€ Check out this awesome post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: ๐Ÿ’ก **What Youโ€™ll Learn**: PiClaw is a Docker-based sandbox for running the Pi Coding Agent in an isolated Debian environment. It bundles piclaw โ€” a web-first orchestrator built on the Pi SDK with persistent sessions, a streaming web UI, and scheduled tasks. WhatsApp is optional. Inspired by agentbox and nanoclaw. Streaming web UI โ€” real-time token-by-token updates over SSE, with Markdown, KaTeX, and Mermaid rendering Workspace explorer โ€” file tree sidebar with previews, file reference pills, and downloads Disk usage starburst โ€” folder-size visualization with hover details and…
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Why does AI tell you to use Terminal so much? โ€“ The Eclectic Light Company

Why does AI tell you to use Terminal so much? โ€“ The Eclectic Light Company

๐Ÿ”ฅ Discover this insightful post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: ๐Ÿ“Œ **What Youโ€™ll Learn**: Thereโ€™s a striking difference between troubleshooting recommendations made by AI and those of humans. If youโ€™ve tried using AI to help solve a problem with your Mac, youโ€™ll have seen how heavily it relies on commands typed into Terminal. Look through advice given by humans, though, and youโ€™ll see they rely more on apps with GUI interfaces. Rather than sending you straight to fsck_apfs, for instance, most humans will prefer to direct you to Disk Utility and its First Aid feature. This is because most…
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RightNow-AI/autokernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels. ยท GitHub

RightNow-AI/autokernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels. ยท GitHub

๐Ÿ”ฅ Explore this trending post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: โœ… **What Youโ€™ll Learn**: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels. Inspired by @karpathy/autoresearch -- which demonstrated autonomous AI agents for LLM training research. AutoKernel applies the same philosophy to GPU kernel optimization: agent modifies one file, runs a fixed evaluation, keeps or reverts, repeats forever. Give AutoKernel any PyTorch model. It will: Profile the model to find which GPU kernels are bottlenecks Extract each bottleneck as a standalone Triton kernel Optimize each kernel autonomously (edit, benchmark, keep/revert…
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Every minute you arenโ€™t running 69 agents, you are falling behind

๐Ÿš€ Check out this awesome post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: ๐Ÿ’ก **What Youโ€™ll Learn**: Just kidding. Today we should ramp down rhetoric. I thought nobody would take three minutes to escape the perpetual underclass or you are worth $0.003/hr seriously. But it looks like some people do, and you shouldnโ€™t. Social media has been extremely toxic for the last couple months. Itโ€™s targeting you with fear and anxiety. If you donโ€™t use this new stupid AI thing you will fall behind. If you havenโ€™t totally updated your workflow you are worth 0. Thereโ€™s people who built billion dollars…
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Source Maps: Shipping Features Through Standards

Source Maps: Shipping Features Through Standards

โœจ Explore this insightful post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: ๐Ÿ’ก **What Youโ€™ll Learn**: Published on 10 March 2026 Source maps are a vital part of modern web development. Today, we have an official standard, a large group of members, and many exciting features in development! But it wasn't always this way. It may surprise you to learn that, for years, there was no official standard describing the source map format. On one hand, it is incredible that for 10 years, bundlers, browsers, and devtools worked together with only a shared Google Doc between them! On the other hand,…
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