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Gentoo Linux 2025 Review

C++ std::move doesn't move anything: A deep dive into Value Categories

Why std::move is just a cast, how it kills RVO if used wrong, and the mechanics of ownership transfer.

"Food JPEGs" in Super Smash Bros. & Kirby Air Riders

Python, open source, and the internet

Think of Pavlov

almost all interactions are repeat games

The Concise TypeScript Book

The Concise TypeScript Book: A Concise Guide to Effective Development in TypeScript. Free and Open Source. - gibbok/typescript-book

BasiliskII Macintosh 68k Emulator Ported to ESP32-P4 / M5Stack Tab5

BasiliskII Macintosh 68k emulator ported to ESP32-P4 / M5Stack Tab5 - Run classic Mac OS on embedded hardware - amcchord/M5Tab-Macintosh

Iran Shuts Down Starlink Internet for First Time

Show HN: Is AI hijacking your intent? A formal control algorithm to measure it

I’m an independent researcher proposing State Discrepancy, a public-domain metric to quantify how much an AI system changes a user’s intent (“the Ghost”).The goal: replace vague legal and philosophical notions of “manipulation” with a concrete engineering variable. Without clear boundaries, AI faces regulatory fog, social distrust, and the risk of being rejected entirely.Algorithm 1 (on pp.16–17 of the linked white paper) formally defines the metric:1. D = CalculateDistance(VisualState, LogicalState)2. IF D < α : optimization (Reduce Update Rate)3. ELSE IF α ≤ D < β : warning (Apply Visual/Haptic Modifier proportional to D)4. ELSE IF β ≤ D < γ : intervention (Modulate Input / Synchronization)5. ELSE : security (Execute Defensive Protocol)The full paper is available on Zenodo: <a href="https://doi.org/10.5281/zenodo.18206943" rel="nofollow">https://doi.org/10.5281/zenodo.18206943</a>

Vojtux – Unofficial Linux Distribution Aimed at Visually Impaired Users

Scripts and documentation about accessible version of Fedora - vojtapolasek/vojtux

More than one hundred years of Film Sizes

ONE HUNDRED YEARS OF DIFFERENT FILM SIZES - history with pictures > <meta name=

Finding and fixing Ghostty's largest memory leak

Show HN: I used Claude Code to discover connections between 100 books

I think LLMs are overused to summarise and underused to help us read deeper.I built a system for Claude Code to browse 100 non-fiction books and find interesting connections between them.I started out with a pipeline in stages, chaining together LLM calls to build up a context of the library. I was mainly getting back the insight that I was baking into the prompts, and the results weren't particularly surprising.On a whim, I gave CC access to my debug CLI tools and found that it wiped the floor with that approach. It gave actually interesting results and required very little orchestration in comparison.One of my favourite trail of excerpts goes from Jobs’ reality distortion field to Theranos’ fake demos, to Thiel on startup cults, to Hoffer on mass movement charlatans (<a href="https://trails.pieterma.es/trail/useful-lies/" rel="nofollow">https://trails.pieterma.es/trail/useful-lies/</a>). A fun tendency is that Claude kept getting distracted by topics of secrecy, conspiracy, and hidden systems - as if the task itself summoned a Foucault’s Pendulum mindset.Details:* The books are picked from HN’s favourites (which I collected before: <a href="https://hnbooks.pieterma.es/" rel="nofollow">https://hnbooks.pieterma.es/</a>).* Chunks are indexed by topic using Gemini Flash Lite. The whole library cost about £10.* Topics are organised into a tree structure using recursive Leiden partitioning and LLM labels. This gives a high-level sense of the themes.* There are several ways to browse. The most useful are embedding similarity, topic tree siblings, and topics cooccurring within a chunk window.* Everything is stored in SQLite and manipulated using a set of CLI tools.I wrote more about the process here: <a href="https://pieterma.es/syntopic-reading-claude/" rel="nofollow">https://pieterma.es/syntopic-reading-claude/</a>I’m curious if this way of reading resonates for anyone else - LLM-mediated or not.

'Bandersnatch': The Works That Inspired the 'Black Mirror' Interactive Feature (2019)

The real-life works that inspired Charlie Brooker's interactive Netflix film, 'Black Mirror: Bandersnatch.'

Code and Let Live

<a href="https://sprites.dev/" rel="nofollow">https://sprites.dev/</a>

CPU Counters on Apple Silicon: article + tool

Last time I wrote about profiling in Zig on Apple Silicon, I touched on PMU counter profiling. This time I decided to go further and create my own tool to fetch all available counters for Apple Silicon processors (M1, M2, and later). Brief explanation of PMU counters PMU (Performance Monitoring Unit) counters are hardware counters that track microarchitectural events inside the CPU, e.g. executed instructions, retired operations, branches, cache misses, and more.

Google: Don't make "bite-sized" content for LLMs

Google says creating for people rather than robots is the best long-term strategy.

Show HN: Ferrite – Markdown editor in Rust with native Mermaid diagram rendering

Ferrite: Fast Markdown/Text/Code editor in Rust with native Mermaid diagramsBuilt a Markdown editor using Rust + egui. v0.2.1 just dropped with major Mermaid improvements:→ Native Mermaid diagrams - Flowcharts, sequence, state, ER, git graphs - pure Rust, no JS→ Split view - Raw + rendered side-by-side with sync scrolling→ Syntax highlighting - 40+ languages with large file optimization→ JSON/YAML/TOML tree viewer - Structured editing with expand/collapse→ Git integration - File tree shows modified/staged/untracked statusAlso: minimap, zen mode, auto-save, session restore, code folding indicators.~15MB binary, instant startup. Windows/Linux/macOS.GitHub: <a href="https://github.com/OlaProeis/Ferrite" rel="nofollow">https://github.com/OlaProeis/Ferrite</a>v0.2.2 coming soon with performance improvements for large files. Looking for feedback!

Open Chaos: A self-evolving open-source project

A self-evolving open source project. Vote on PRs. Winner gets merged every Sunday.

A Year of Work on the Arch Linux Package Management (ALPM) Project

An overview of the work done on the ALPM project in 2024 and 2025.

AI is a business model stress test

AI commoditizes anything you can specify. It can't commoditize what you have to operate.

Max Payne – two decades later – Graphics Critique (2021)

Overdose deaths are falling in America because of a 'supply shock': study

Show HN: Play poker with LLMs, or watch them play against each other

I was curious to see how some of the latest models behaved and played no limit texas holdem.I built this website which allows you to:Spectate: Watch different models play against each other.Play: Create your own table and play hands against the agents directly.

Show HN: Librario, a book metadata API that aggregates G Books, ISBNDB, and more

TLDR: Librario is a book metadata API that aggregates data from Google Books, ISBNDB, and Hardcover into a single response, solving the problem of no single source having complete book information. It's currently pre-alpha, AGPL-licensed, and available to try now[0].My wife and I have a personal library with around 1,800 books. I started working on a library management tool for us, but I quickly realized I needed a source of data for book information, and none of the solutions available provided all the data I needed. One might provide the series, the other might provide genres, and another might provide a good cover, but none provided everything.So I started working on Librario, a book metadata aggregation API written in Go. It fetches information about books from multiple sources (Google Books, ISBNDB, Hardcover. Working on Goodreads and Anna's Archive next.), merges everything, and saves it all to a PostgreSQL database for future lookups. The idea is that the database gets stronger over time as more books are queried.You can see an example response here[1], or try it yourself:<pre><code> curl -s -H 'Authorization: Bearer librario_ARbmrp1fjBpDywzhvrQcByA4sZ9pn7D5HEk0kmS34eqRcaujyt0enCZ' \ 'https://api.librario.dev/v1/book/9781328879943' | jq . </code></pre> This is pre-alpha and runs on a small VPS, so keep that in mind. I never hit the limits in the third-party services, so depending on how this post goes, I’ll or will not find out if the code handles that well.The merger is the heart of the service, and figuring out how to combine conflicting data from different sources was the hardest part. In the end I decided to use field-specific strategies which are quite naive, but work for now.Each extractor has a priority, and results are sorted by that priority before merging. But priority alone isn't enough, so different fields need different treatment.For example:- Titles use a scoring system. I penalize titles containing parentheses or brackets because sources sometimes shove subtitles into the main title field. Overly long titles (80+ chars) also get penalized since they often contain edition information or other metadata that belongs elsewhere.- Covers collect all candidate URLs, then a separate fetcher downloads and scores them by dimensions and quality. The best one gets stored locally and served from the server.For most other fields (publisher, language, page count), I just take the first non-empty value by priority. Simple, but it works.Recently added a caching layer[2] which sped things up nicely. I considered migrating from net/http to fiber at some point[3], but decided against it. Going outside the standard library felt wrong, and the migration didn't provide much in the end.The database layer is being rewritten before v1.0[4]. I'll be honest: the original schema was written by AI, and while I tried to guide it in the right direction with SQLC[5] and good documentation, database design isn't my strong suit and I couldn't confidently vouch for the code. Rather than ship something I don't fully understand, I hired the developers from SourceHut[6] to rewrite it properly.I've got a 5-month-old and we're still adjusting to their schedule, so development is slow. I've mentioned this project in a few HN threads before[7], so I’m pretty happy to finally have something people can try.Code is AGPL and on SourceHut[8].Feedback and patches[9] are very welcome :)[0]: <a href="https://sr.ht/~pagina394/librario/" rel="nofollow">https://sr.ht/~pagina394/librario/</a>[1]: <a href="https://paste.sr.ht/~jamesponddotco/a6c3b1130133f384cffd25b33a8ab1bc3392093c" rel="nofollow">https://paste.sr.ht/~jamesponddotco/a6c3b1130133f384cffd25b3...</a>[2]: <a href="https://todo.sr.ht/~pagina394/librario/16" rel="nofollow">https://todo.sr.ht/~pagina394/librario/16</a>[3]: <a href="https://todo.sr.ht/~pagina394/librario/13" rel="nofollow">https://todo.sr.ht/~pagina394/librario/13</a>[4]: <a href="https://todo.sr.ht/~pagina394/librario/14" rel="nofollow">https://todo.sr.ht/~pagina394/librario/14</a>[5]: <a href="https://sqlc.dev" rel="nofollow">https://sqlc.dev</a>[6]: <a href="https://sourcehut.org/consultancy/" rel="nofollow">https://sourcehut.org/consultancy/</a>[7]: <a href="https://news.ycombinator.com/item?id=45419234">https://news.ycombinator.com/item?id=45419234</a>[8]: <a href="https://sr.ht/~pagina394/librario/" rel="nofollow">https://sr.ht/~pagina394/librario/</a>[9]: <a href="https://git.sr.ht/~pagina394/librario/tree/trunk/item/CONTRIBUTING.md" rel="nofollow">https://git.sr.ht/~pagina394/librario/tree/trunk/item/CONTRI...</a>

HTML-only conditional lazy loading (via preload and media)

An Experimental Approach to Printf in HLSL

Bringing the best form of debugging to shaders!

Verifiable Brute Force Strength

Verifiable brute force strength rates across different projects - rates.md

LLM poetry and the "greatness" question: Experiments by Gwern and Mercor

Experiments by Gwern and Mercor

A battle over Canada’s mystery brain disease

A small Canadian province feared it had a mystery neurological illness on its hands. The search for answers set off a battle for the truth.

Show HN: I built an Open Source screen timer for the m5stickc (Arduino)

I've never posted on ShowHN before, but I wanted to share my Xmas 2025 project; to try a new approach to controlling our kids screen time.This also involved massively over-engineering a solution in order to play with a shiny new gadget (and avoid the in laws at Christmas, obviously)I've shared some learnings on AI coding with embedded devices, and how I approached the product design/hardware selection side of things.The Web App is at <a href="https://screenie.org" rel="nofollow">https://screenie.org</a> - and I'm Open Sourcing the device and web app code later today (links to follow on that site)