To be clear: I have no realistic expectation any Senator would actually attempt to zero out the DHS budget. I just want to set a baseline for them, move the Overton Window, give them a taste of how angry the population is.
Yes yes yes, Reply Armada, “oh those terrible Democrats yada yada,” I know, I know. I am •not• waiting for politicians to save us.
I am also, however, quite ready to exercise political leverage and use politicians as our tools whenever I think that has a nonzero chance of being useful. Make that call — then back to the rest of the work.
If the first answer to any problem on a Linux system is "oh just update all the packages again" that is evidence of a broken and fragile package management system.
My experience (at home) with Manjaro so far has been absolutely terrible compared to my experience (at work) with CentOS and Rocky Linux.
With Manjaro, working packages regularly break after updates or new installs. It's clearly not managing dependencies properly. And I've had other weird problems o…
@… I think dB volume is only one part of the equation, most of the whistles I’ve tested max out at about ~120 dB with a heavy blow. A good estimate for a speaking voice is ~60 dB. The frequency of a whistle plays a part in how far the sound carries too. The triple tone whistle has three different pitches, so it’s a more full sound. Happy to answer questions
The Oglala Sioux Tribe is seeking answers after
four enrolled members were detained by U.S. Immigration and Customs Enforcement (ICE) in Minneapolis.
Tribal President Frank Star Comes Out said in a statement on Facebook that the men,
who were homeless and living near the Little Earth housing complex in Minneapolis,
home to nearly 1,500 people,
many of whom are Native American.
The men were taken into custody without their names being recorded, the tribe …
@… I answered based on international travel, as that’s where I’ve done most of my flying. There it’s around 3 hours because I, like my mother, become a restless mess starting like 24 hours before I’m going anywhere.
I barely ever sleep the night before.
For US domestic, which have become more common for me lately, I’ve been purposefully trying to break the habi…
Toiling in the #SpamAssassin dungeons today...
It's ridiculous how many bots are still hitting our RuleQA, mostly with referrer-free “detail” URLs, which I made trivial to answer (403) many months ago. Not enough to be a problem, just about 1k-hits per hour. Spread all around the net: latest 1000 hits came from 967 different IPs with 2 IPs accounting for all ofthe repeat visitors. 959…
Slack messages: some staffers complained about Marc Benioff making jokes about ICE at a Salesforce event, including about ICE surveilling employee travel (Ashley Stewart/Business Insider)
https://www.businessinsider.com/salesforce-ceo-ice-jokes-employee-event-2…
Travel planning with Google Gemini. It's astonishingly good at this. I give it an itinerary and it gives me detailed and personalized suggestions like "You have this reserved, but note it's 1.5km of walking over steep, uneven surfaces. As an alternative it's easy just to go into town and look around."
I love being able to throw an enormous amount of data at the LLM and have it make sense of it. In this case it doesn't matter if the answers are not 100% correct as long as they are close and the suggestions are verifiable.
Via: L'avventura: Pet Detective @amcnal.bsky.social
“over on x the everything app some Chicago high school kid named Danny Spud tried to disrupt his school's anti-ICE protest by yelling about how much he loves ICE and then filmed himself getting walloped by a fellow student lmao
the quote tweet making fun of him has 3x the likes”
I’ll post the video next.
i’m not totally 💯 it’s not staged, but either way, remeber;
violence isn’t THE answer
But it su…
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.