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@Mediagazer@mstdn.social
2026-06-17 12:40:43

Freedom of the Press Foundation says Paramount refused to air an ad criticizing Paramount's merger with WBD during the stream of the UFC White House event (Miles Klee/Wired)
wired.com/story/paramount-refu

@kexpmusicbot@mastodonapp.uk
2026-06-18 22:07:09

🇺🇦 #NowPlaying on KEXP's #AfternoonShow
Rapsody:
🎵 Nina
#Rapsody
kemetic7ntr.bandcamp.com/track
open.spotify.com/track/7qDYx1h

@grumpybozo@toad.social
2026-06-17 12:06:59

RE: #Sysadminnery

@seeingwithsound@mas.to
2026-07-17 08:33:23

Audiovisual stimulation using wearable shutter glasses robustly evokes 40 Hz neuronal activity but does not modulate associative memory biorxiv.org/content/10.64898/2

@villavelius@mastodon.online
2026-08-17 16:20:08

A Robust Decentralized Infrastructure for Trust-Aware Open Knowledge Sharing
#nanopublications

@heiseonline@social.heise.de
2026-07-16 15:58:03

Nach Aufregung über Daten-Upload: SpaceXAI macht Code von Grok Build öffentlich
Nachdem am Wochenende entdeckt wurde, dass Grok Build ganze Git-Repositories der User in einen Cloud-Speicher geschickt hat, verspricht SpaceXAI Transparenz.

@thomasfuchs@hachyderm.io
2026-06-17 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

@johl@mastodon.xyz
2026-08-17 12:44:21

„When Orwell visited his aunt Ellen Kate Limouzin and her husband Eugène Lanti in Paris, the couple conversed in the constructed international auxiliary language of Esperanto at home as Lanti refused to speak French. Orwell suffered as a non-speaker of Esperanto and developed a strong dislike for the language, which some scholars have suggested as influential in the development of Newspeak.“

@Techmeme@techhub.social
2026-07-18 17:10:56

How the Trump administration shifted from a "light-touch" approach to AI policy to an interventionist stance that led to restrictions on top AI models in the US (Leo Schwartz/The Information)
theinformation.com/articles/tr

When the Justice Department indicted the Southern Poverty Law Center in April on controversial fraud charges, the storied civil rights organization faced a major threat to its lifeblood
— the flow of donor dollars.
Not because it was convicted or because the Internal Revenue Service revoked its tax-exempt status.
Not even because individual donors stopped writing checks.
Instead, three Wall-Street-affiliated grantmaking giants each made a decision,
one they ref…