@heiseonline@social.heise.de2026-07-17 10:37:04
CD-Verkäufe in den USA steigen, obwohl viele Käufer keinen CD-Player haben
In den USA steigen die CD-Verkäufe, angetrieben von K-Pop, Sammelleidenschaft und der Sehnsucht junger Hörer nach vergangenen Musikjahrzehnten.
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@thomasfuchs@hachyderm.io2026-06-17 02:07:40
So, I'm still experimenting with locally run LLMs (powered by solar cells!) for writing some inconsequential data mangling stuff for my "vintage cameras" hobby; it's quite interesting how the development cycle with these LLMs sort of drives home that LLMs are completely useless for almost anything they're advertised for, like writing (for humans).
The thing is: coding is the use case that LLMs are by far most suitable for and they still largely suck at it.
There's immense amounts of training data of correctly functioning code, there's tons of documentation, a lot of code is in repositories that include the full history of its development including why stuff was changed in small bits, code itself is the simplest of "human" languages and mathematically non-ambiguous, code can be checked in small bits for correctness by just running it, in many languages simple code snippets can be written to introspect on the code (e.g. find out what methods an object supports, so an LLM can query the language or libraries themselves in addition to the user) and perhaps most importantly: code is always and has always been very similar to other, existing code as most software serves the ever same repetitive use cases, both in detail and on a high level.
YET… using LLMs to code requires countless iterations to get there, both internally in the LLM (to get the code even running in the first place) and together with the user to make it do the right thing. And even when it's "there" the code is mediocre at best, and often veering into appalling.
And this is expected to just work on the first try on much more complex issues like writing for humans? Transcribing doctors? Having legal opinions? Identifying fraud? lol, sure
@Techmeme@techhub.social2026-09-16 16:43:37
Anthropic merges Claude chat and Cowork, and adds a feature for making presentations and documents, rolling out to Pro and Max plans first (Ivan Mehta/TechCrunch)
https://techcrunch.com/2026/09/16/anthropic-merges-claude-chat-and-cowork-in-one-inte…
@davidaugust@mastodon.online2026-06-17 15:14:15
@heiseonline@social.heise.de2026-07-17 10:48:03
Microsoft macht IRC-Client Comic Chat zu Open Source
Microsofts IRC-Client aus den 90er-Jahren sollte den „Internet Relay Chat“ mit grafischen Elementen aufpeppen. Nun wird er Open Source.
https://www.
@heiseonline@social.heise.de2026-08-17 15:03:03
„The Sinking City 2“ angespielt: Geboren aus Trümmern
Im Horror-Spiel „The Sinking City 2“ erkunden Spieler eine Stadt in Trümmern, die aus Lovecraft-Albträumen und der Realität des Ukraine-Krieges entspringt.
https://…
@Techmeme@techhub.social2026-08-17 17:30:40
Cursor says it is rolling out its code hosting service Origin in early beta on all paid plans, featuring support for repos, pull requests, GitHub sync, and more (Cursor)
https://cursor.com/changelog/origin-code-hosting
@Techmeme@techhub.social2026-07-16 18:10:47
Beehiiv launches Community, which lets subscribers chat with each other, adds programmatic ads and an AI tool that helps creators manage their audiences (Ivan Mehta/TechCrunch)
https://techcrunch.com/2026/07/16/newsletter-platf…
@heiseonline@social.heise.de2026-09-16 12:17:04
Klimafaktor KI: Warum Agenten wie Claude Code echte Stromfresser sind
KI-Agenten revolutionieren die Arbeit, doch ihr Hunger nach Energie ist enorm. Eine neue Analyse zeigt, wie drastisch der Stromverbrauch pro Prompt steigt.
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@heiseonline@social.heise.de2026-07-16 15:58:03
