@inthehands@hachyderm.io2025-12-27 20:25:14
It always makes me a little sad when somebody reflexively spits and blocks like this based on (I’m guessing) not quite reading the post. (I’m pretty sure they’re angry because they agreed with the thread’s whole point and just read the post backwards in their haste. This does not look like an account that’s out there fighting to defend the reputation of Tesla and AI slop.)
Like…I probably didn’t want this person in my mentions anyway if they’re such a careless reader, but now they’re going through the world a little angrier for nothing.
https://mstdn.plus/@gcvsa/115793343637847732
@stiefkind@mastodon.social2025-09-29 11:10:13
»Auch wenn tüchtige Sekretärinnen immer sehr geschätzt wurden, zeigt sich hier ein respektvoller Umgang, der in den späteren Jahren verloren ging. Möglicherweise lag es daran, dass Sekretär zu dieser Zeit ein angesehener Männerberuf war und die ersten Sekretärinnen von diesem Ansehen profitierten. Oftmals verlieren Berufe ihren Status, wenn er zu einem Frauenberuf wird.«
Aus: Annegret Braun – Die Sekretärin (2024)
@karlauerbach@sfba.social2025-12-28 22:23:57
My personal sense is that voter ID is not a hill to die on.
Even I can feel the draw of requiring voters to produce something that helps to demonstrate the fact that "I am qualified to cast a ballot in this election."
I recognize that voter ID requirements can (and will be) used to exclude valid voters.
But my answer is not to fight the voter id requirement itself.
Rather I'd invest in making sure that all people get proper voter IDs. (Perhaps I might b…
@mlippert@vmst.io2025-10-29 16:27:46
#Wordle 1,593 6/6*
⬜⬜⬜🟨🟩 <1% of 228,956 (53)
⬜🟩🟩⬜🟩 17% of 18 (10)
⬜🟩🟩⬜🟩 13% of 8 (6)
⬜🟩🟩⬜🟩 11% of 166 (3)
🟩🟩🟩⬜🟩 14% of 1,101 (2)
🟩🟩🟩🟩🟩 75% of 365
WordleBot
Skill 90/99
Luck 40/99
Pulled it out, but you're really not puzzling out the answer when there are so many words that fit that initial 3 known letters, each using different letters (well I guess the last 2 did share a letter, so if I had thought of all of the words when I made guess 3, I should have tried one of them first.
Actually I see there were 2 pretty common first letters among the 10 remaining words. And it ended up that getting the answer was just lucky.
@kurtsh@mastodon.social2025-12-28 20:42:49
@PaulWermer@sfba.social2025-11-27 17:15:53
Fascinating read - and while I don't expect the politicians to grasp these, I'd have expected that the policy experts were asking and answering these sorts of questions.
Makes me grateful for investigative research nonprofits like #Dekleptocracy.
West is ‘missing obscure sanctions that could set back Russia’s war machine’
@paulwermer@sfba.social2025-11-27 17:15:53
Fascinating read - and while I don't expect the politicians to grasp these, I'd have expected that the policy experts were asking and answering these sorts of questions.
Makes me grateful for investigative research nonprofits like #Dekleptocracy.
West is ‘missing obscure sanctions that could set back Russia’s war machine’
@krone@frawas.de2025-11-28 10:11:52
Monate nach Angriff - Iraker von Rollkommando fast getötet: Trio gefasst #News #Nachrichten
@holger_moller@bildung.social2025-12-28 07:56:23
Demokratien können sich wehren:
"Demokratische Institutionen haben [im Fall eines Angriffs] zwei Optionen. Entweder sie nehmen sich zurück, um nicht als parteiisch oder spaltend wahrgenommen zu werden. Oder sie gehen in den Gegenangriff über – trotz der Gefahr, ihre Kompetenzen zu überschreiten und ihren Ruf als unabhängige Institutionen zu verlieren."
Benjamin Hindrichs
Was davon geschieht gerade bei uns in
@thomasfuchs@hachyderm.io2025-11-26 01:24:45
LLMs never make mistakes or hallucinate, as this presupposes they actually know what they’re doing—they don’t: they have no concept of what words mean.
They don’t even deal with language, as they generate chains of big numbers based on statistical correlations.
The resulting transformation into human-readable text is always only a statistical approximation of what a real answer could maybe look like.
By sheer chance sometimes LLMs are even correct (usually for trivial things); however above a certain length of answer it is always wrong.