Wikipedia’s high-level guidance noting some ways to identify LLM writing

I see a lot of bad system design advice. One classic is the LinkedIn-optimized “bet you never heard of queues” style of post, presumably aimed at people who are…

Why do facts bounce off some people? It’s not about logic; it’s about structure. Your worldview isn’t a list of opinions—it’s a living network. And right now, it’s at war.

The Wren Programming Language. Wren is a small, fast, class-based concurrent scripting language. - wren-lang/wren

Apple

Share terminal sessions via SVG and CSS. Contribute to marionebl/svg-term-cli development by creating an account on GitHub.

In the two years since I’ve posted I want off Mr Golang’s Wild Ride, it’s made the rounds time and time again, on Reddit, on Lobste.rs, on HackerNews, and elsewhere.And every time, it elicits the …

Track, explore, visualise and share the music you listen to. Follow your favourites and discover great new music.

I am moving all of my Git repositories from Codeberg to Sourcehut, a minimal software forge.I enjoyed using Codeberg, but like Sourcehut more for a multitude of reasons.Neccessities OnlyThe Sourcehut website is minimal, and has:No tracking and advertisementsNo AI featuresNo JavaScript required for anythingIt is free and open-source software that has contributed to hundreds of software projects.Plus, you don’t even need an account for some specific features!UniversalSourcehut uses email, which is how Git was designed to be used when it was made.This ensures that you are not tied to using only Sourcehut.This is unlike the vast majority of other Git platforms, where you have to create an account to interact.

The stated goal of many organizations in the field of artificial intelligence (AI) is to develop artificial general intelligence (AGI), an imagined system with more intelligence than anything we have ever seen. Without seriously questioning whether such a system can and should be built, researchers are working to create “safe AGI” that is “beneficial for all of humanity.” We argue that, unlike systems with specific applications which can be evaluated following standard engineering principles, undefined systems like “AGI” cannot be appropriately tested for safety. Why, then, is building AGI often framed as an unquestioned goal in the field of AI? In this paper, we argue that the normative framework that motivates much of this goal is rooted in the Anglo-American eugenics tradition of the twentieth century. As a result, many of the very same discriminatory attitudes that animated eugenicists in the past (e.g., racism, xenophobia, classism, ableism, and sexism) remain widespread within the movement to build AGI.

Open-Meteo leverages