- 158 Pandoc Templates (pandoc-templates.org)
- 163 Zig: Build System Reworked (ziglang.org)
- 117 Proposed new US funding rules: We can cancel any grant at any time (arstechnica.com)
- 24 Show HN: Helios – what plug-in solar could generate for any address in Britain (helios.southlondonscientific.com)
- 31 Leo's first encyclical attacks technological messianism (economist.com)
- 19 Openrsync: An implementation of rsync, by the OpenBSD team (github.com)
- 591 SQLite is all you need for durable workflows (obeli.sk)
- 17 IXI's autofocusing lenses are almost ready to replace multifocal glasses (engadget.com)
- 55 What Happened to the Locusts? (explosion-scratch.github.io)
- 280 Danish pension fund excludes SpaceX citing governance and valuation (reuters.com)
- 401 Notes from the Mistral AI Now Summit (koenvangilst.nl)
- 24 Floor and Ceil versus Denormals on CPU and GPU (asawicki.info)
- 235 Snowboard Kids 2 is 100% Decompiled (blog.chrislewis.au)
- 177 Print with dozens of colors: Our new open-source ColorMix for PrusaSlicer (blog.prusa3d.com)
- 14 Adding Linux support back for the BASIC (free) version of Vivado (adaptivesupport.amd.com)
- 286 MCP is dead? (quandri.io)
- 1086 The dead economy theory (owenmcgrann.com)
- 326 It's hard to justify buying a Framework 12 (jeffgeerling.com)
- 142 The Last Technical Interview (steve-yegge.medium.com)
- 152 Shift will clean homes for free to train future robots (theverge.com)
- 18 Macsurf, "modern" web browser for macOS 9 (github.com)
- 48 A new register allocator for ZJIT (railsatscale.com)
- 205 Liquid AI reveals 8B-A1B MoE trained on 38T (liquid.ai)
- 374 Is AI causing a repeat of frontend’s lost decade? (mastrojs.github.io)
- 133 Naphtha shortages in Japan (nippon.com)
- 238 Bijou64: A variable-length integer encoding (inkandswitch.com)
- 67 What It Takes to Preserve Floppy Disks (spectrum.ieee.org)
- 13 Corporate America Is Starting to Ration AI as Cost Skyrockets (wsj.com)
- 18 Understand Anything – Graphs that teach the codebase (understand-anything.com)
- 159 Show HN: Tiny-vLLM – high performance LLM inference engine in C++ and CUDA (github.com)