Noch ein paar der zuletzt hier besonders häufig geteilten #News:
Linux 7.1 mit neuem NTFS und FRED erschienen
https://www.
Cuba’s top diplomat in the United States on Friday underscored the inviolability of her country’s sovereignty
amid tenuous negotiations with the Trump administration and mounting fears that the US is planning to criminally indict a former Cuban president and possibly invade the island to abduct him.
Cuban Chargé d’Affaires Lianys Torres Rivera told The Hill that her country’s socialist government is open to negotiating with the US,
but that “the only exception is our sovere…
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
Via Matt Muir’s Web Curios - a fantastic long read on teenage angst, desire, small town America and service jobs
https://fatherkarine.substack.com/p/life-lessons-from-getting-fired-from
#Jellyfin for #Roku 3.2.1 is scheduled for release on Friday, Jun 19, 2026 5:00 PM PT
https://github.com/jelly…
Just another great Brexit benefit.
https://www.theguardian.com/world/2026/jul/17/eu-border-chaos-feared-dover-crossing-busiest-summer-weekend-looms?CMP=Share_iOSApp_Other
Ok, um den Satz zu parsen habe ich ein wenig gebraucht (ist aus dem Liveticker eines Fussballspiels): "Prüfrucks langen Ball verlängert Futkeu nach links zu Ltaief."
(https://www.kicker.de/fuerth-gegen-duesseldorf-2026-bundesliga-5051350/ticker
Three large portions of the Filchner Ice Shelf
—dubbed A22, A23, and A24
—calved into the Weddell Sea off of Antarctica in 1986.
For National Geographic, Chris Heath documents the life and death of an iceberg called A23a,
known at one time as the largest iceberg in the world.
Born when it broke off A23 in 1991,
it was “at least 44 nautical miles long, 40 nautical miles wide, and somewhere close to 2,000 square miles in area, or roughly the size of Bali.”
When Abraham's monotheism arrived in the Near East, demanding that only one fruit be sold in the souk, the sly Canaanite deity sneaked underground and hid in languages spoken by millions of Abraham's disciples.