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Leiden Declaration on Artificial Intelligence and Mathematics

Building from Zero After Addiction, Prison, and a Felony

An introduction to functional analysis for science and engineering

Show HN: Help SourceLibrary.org Translate the Renaissance SourceLibrary.org is currently the world’s largest online library of translated ancient sources. It contains over 15,000 books translated from dozens of languages (Latin, Greek, Chinese, Sanskrit, Arabic, Hebrew, Egyptian, etc)—from sacred texts to early science. Our vision is to make ancient wisdom accessible to both people and AI.<p>Did you know that less than 3% of the Latin Renaissance has ever been translated into English?<p>This is ironic, because translations of ancient Greek wisdom texts are historically credited with helping to ignite the Renaissance. Yet, the Renaissance itself was mostly written in NeoLatin and it is currently 97% untranslated.<p>For scale, the word count of SourceLibrary.org just exceeded English Wikipedia. In addition to the texts, there are hundreds of thousands of searchable images.<p>SourceLibrary is free and open-source (AGPL3). Scans are mostly public domain and translated texts are Creative Commons share-alike. All is accessible via MCP or API. Point Claude Code or Codex at sourcelibrary and see what it is like when it can search and quote source texts. E.g., ask Claude Code to compare alchemical practices in Latin, Chinese, Sanskrit etc — and ask for images.<p>SourceLibrary.org is an open source initiative of the Embassy of the Free Mind (<a href="https:&#x2F;&#x2F;www.EmbassyoftheFreeMind.com" rel="nofollow">https:&#x2F;&#x2F;www.EmbassyoftheFreeMind.com</a>), a Dutch nonprofit with 501c3 status and home to the <i>Biblioteca Philosophica Hermetica,</i> a UNESCO recognized “Memory of the World” rare book library. SourceLibrary is entirely supported by tax-deductable donations. Corporate sponsorships and partnerships are also welcome: <a href="https:&#x2F;&#x2F;sourcelibrary.org&#x2F;support" rel="nofollow">https:&#x2F;&#x2F;sourcelibrary.org&#x2F;support</a><p>We invite you to participate in this historical effort to translate the Renaissance and beyond. In addition to the digital impact, we hope to manifest long-term institutional support for the (global) human stewardship of these materials.<p>HN, please sign up for free and leave feedback (found at the bottom of every page). If something is annoying or improper or hard to use — please share. I read feedback almost every day. Maybe test out the librarian <a href="https:&#x2F;&#x2F;sourcelibrary.org&#x2F;librarian" rel="nofollow">https:&#x2F;&#x2F;sourcelibrary.org&#x2F;librarian</a> — it’s a research agent that can retrieve quotes and images in chat.<p>If this project resonates with you, please let me know what you find!<p>Derek<p>Acknowledgments: Thank you to my friends at playpowerlabs.com, getsmartpaper.com and Wisdom-Frontier.org for concept and development support and to <a href="https:&#x2F;&#x2F;www.frond.studio&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.frond.studio&#x2F;</a> for design support

Show HN: GentleOS – A pair of hobby OSes for vintage 32-bit and 16-bit PCs Hello HN,<p>I&#x27;ve been working on a simple OS for tinkering and running bare metal apps on vintage PCs.<p>Since I couldn&#x27;t quite decide whether to target pure 16-bit, or slightly more capable 32-bit machines, I ended up with two separate versions:<p>- GentleOS&#x2F;32 (<a href="https:&#x2F;&#x2F;github.com&#x2F;luke8086&#x2F;gentleos32" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;luke8086&#x2F;gentleos32</a>) works on i386+, requires 4MB of RAM and VGA display supporting 640x480x16 mode or any 256-color VESA mode.<p>- GentleOS&#x2F;16 (<a href="https:&#x2F;&#x2F;github.com&#x2F;luke8086&#x2F;gentleos" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;luke8086&#x2F;gentleos</a>) works on 80186+, requires less than 192KB of RAM and a CGA display supporting 320x200x4 mode.<p>You can find more details in the repos.

Anthropic, please ship an official Claude Desktop for Linux

Show HN: I made a better zsh autosuggestion tool that predicts your next command Hi everyone I just created Deja, a tool that instead of only surfacing commands that start with what you&#x27;ve typed, suggest what you actually want to run. I built it because I was using zsh autosuggestions but got tired of typing the same commands again and again. So Deja predicts your next command from your history.<p>Let me know what you think

Show HN: A virtual thermal printer for testing ESC/POS receipts

Misguided Misstatements Continue to Dismantle Biomedical Research in the U.S.

Show HN: We built a tool to dub any video in the original voice in 40 languages We kept seeing the same problem: creators make great content but the moment they dub it into another language, everything falls apart. Robotic voice. Music gone. Meaning lost. Lips not matching. So we built Vaani. Whatever language you create in, wherever you are in the world, your content can reach a global audience. We clone your voice, match your gestures, preserve your music, and optionally sync your lips to the new language. 10+ Indian languages, 20+ global languages, all in minutes. We built it for 2 reasons:<p>So creators never have to sound like a robot in another language again So the same video you already made can reach a global audience without filming twice<p>Would love your feedback. app.vaani.media

Show HN: PWNC – A dependency-free web platform I've been building for 25 years

Show HN: Lathe – Use LLMs to learn a new domain, not skip past it Hey HN!<p>Lathe is an experiment in using LLMs to teach me something new, instead of doing the work for me. It generates a hands-on, source-backed tutorial for any technical topic you want to learn. Then you work through it yourself by reading and typing the code by hand (<i>gasp</i>) in a local UI built for exactly that.<p>It&#x27;s a Go CLI plus LLM agent skills (Claude Code &#x2F; Cursor &#x2F; Codex). You prompt something like &quot;&#x2F;lathe build a 3D slicer in Erlang&quot;, run `lathe serve` to spin up a local webapp, and read it in your browser. Every tutorial comes with the things that have made self-learning a pleasant experience for me in the past:<p>- table of contents that follows along as you scroll - side-notes that nudge you to think - exercises for the reader - sources backing up the content that you can use to take you deeper<p>To help make up for the lack of human brainpower behind the tutorial, you can also ask questions about the content, have another LLM verify the tutorial actually compiles and runs, or extend it with another part (no more &quot;Part 4 of 6&quot; that hasn&#x27;t seen an update since 2021).<p>I didn&#x27;t build lathe to replace human-written tutorials. I built lathe because I _love_ human-written tutorials, but wanted to learn technical domains where no good human-written tutorial exists yet (building a 3D slicer from scratch, making embedded Zig approachable, etc). There&#x27;s a longer story in the README about how I got started with programming through PSP homebrew tutorials, and why losing that to LLMs bugged me enough to build this.<p>I&#x27;m not here to sell you anything (there&#x27;s nothing close to a VC-backed startup here :D). It&#x27;s an LLM, and its output is usually good but not perfect by any means. So far, my experience is that because you&#x27;re the one typing and actually engaged, you catch the weird stuff (and I&#x27;m finding that pushing back on it is its own kind of learning). And yes, it&#x27;s vibecoded, because it&#x27;s low scope, low risk, and scratching a personal itch. I run it on Claude Code + macOS personally, other setups should work but I haven&#x27;t been able to verify them yet.<p>If you can find resources to learn something that was written by a human, read that first. But Lathe is here to fill in the gaps when that isn&#x27;t the case, and I hope it serves as an example where LLMs can help us think better, rather than less.<p>Repo: <a href="https:&#x2F;&#x2F;github.com&#x2F;devenjarvis&#x2F;lathe" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;devenjarvis&#x2F;lathe</a><p>Would love your feedback if you decide to check it out!

Scientists ejected from diabetes conference for distributing journal reprints

H2JVM – A Haskell Library for Writing JVM Bytecode

Automated QA and Testing with AI

Efficient and Training-Free Single-Image Diffusion Models

The 29th International Obfuscated C Code Contest (IOCCC) 2025 Winners

The circus freaks of open source

DoD Officially Drops 180 Faiths from Military's Recognized Religion List

Show HN: A beautiful and local-first PDF reader for studying dense things Recently, I found myself having to read the book &quot;C++ primer&quot; and I just couldn&#x27;t do it. Maybe my attention span is too little now with Claude and Codex, maybe I&#x27;m lazy... but I just couldn&#x27;t get myself to focus.<p>While reading, I needed something to do. I wanted to talk to the text, I wanted to leave notes, I wanted to use to use my keyboard to quickly flip through pages.<p>The only good available option on a Mac was &quot;Preview&quot; and it was ok, but definitely not there. So I built Quincy primarily for myself.<p>With it you can - &quot;Talk&quot; to the page you&#x27;re reading, create a quiz about the page, and get a good summary - &quot;Read&quot; the page out-loud. Have your Mac read to you while you follow along. This helps with comprehension. - Copy text (to paste into an LLM), leave notes, bookmarks, etc.... - Anything else you&#x27;d want with a nice PDF reader<p>It&#x27;s fully local. No cloud-sync (yet). All LLM calls are based on your keys. And TBH, you don&#x27;t even need to use the AI features for this to be useful.<p>Try it out. Let me know what you guys think. This has been a quick project, so very rough around the edges. I plan on keeping it going (still haven&#x27;t finished my book), and potentially open-sourcing down the line.