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💥 Check out this trending post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: IPv6 longest-prefix-match (LPM) using a linearized B+-tree with AVX-512 SIMD and a scalar fallback. Based on the algorithm from: Zhihao Zhang, Lanzheng Liu, Chen Chen, Huiba Li, Jiwu Shu, Windsor Hsu, Yiming Zhang. PlanB: Efficient Software IPv6 Lookup with Linearized B+-Tree. NSDI '26. arXiv:2604.14650. Author's reference code: https://github.com/nicexlab/planb. This repository is an independent, clean-room reimplementation of the algorithm as a portable, MIT-licensed C++17 library with extras that were not part of the reference: Portable header-only core (include/lpm6.hpp) that compiles without AVX-512 and transparently falls…

🔥 Read this insightful post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: 20th April 2026 - Link Blog Claude Token Counter, now with model comparisons. I upgraded my Claude Token Counter tool to add the ability to run the same count against different models in order to compare them. As far as I can tell Claude Opus 4.7 is the first model to change the tokenizer, so it's only worth running comparisons between 4.7 and 4.6. The Claude token counting API accepts any Claude model ID though so I've included options for all four of the notable…

🚀 Explore this must-read post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: I was working on a personal project, debugging a Native Messaging helper I had written for it. In the process I needed to check what Brave Browser had registered on my laptop. What I found was a file I had never put there. It was not mine. I had not installed it. I had not authorised it. I had not even been told about it. It was from Anthropic. The file sits at this path on my MacBook: ~/Library/Application Support/BraveSoftware/Brave-Browser/NativeMessagingHosts/com.anthropic.claude_browser_extension.json And its contents are this:…

🚀 Discover this insightful post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Recent survey data show a wide gap between public and expert views of AI. In Pew's 2025 survey, 76% of AI experts said AI would benefit them personally, while only 24% of the U.S. public said the same. The public was much more likely to say AI would harm them than benefit them. Negative public sentiment also appears to be growing. In March 2026, Quinnipiac found that 55% of Americans thought AI would do more harm than good in their day-to-day lives, up from 44%…

💥 Discover this insightful post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: Run TRELLIS.2 image-to-3D generation natively on Mac. This is a port of Microsoft's TRELLIS.2 — a state-of-the-art image-to-3D model — from CUDA-only to Apple Silicon via PyTorch MPS. No NVIDIA GPU required. Generates 400K+ vertex meshes from single images in ~3.5 minutes on M4 Pro. Output includes vertex-colored OBJ and GLB files ready for use in 3D applications. macOS on Apple Silicon (M1 or later) Python 3.11+ 24GB+ unified memory recommended (the 4B model is large) ~15GB disk space for model weights (downloaded on first…