Tootfinder

Something I do not think the fashy Trump-licking crowd understands is how •deeply• we here in Minneapolis and environs felt everything that’s happened.
The ICE invasion might have been a lot of things for the folks behind it: a strategic offensive, a gambit, a bender, a job, a joy ride. But I suspect that across all those cases, it was something they feel like they can walk away from whenever they decide to be done with it.
Not so for us neighbors. They have no idea how angry we are. They have no idea how long we’re going to stay angry. If you were a part of the ICE invasion, be warned: people will be out hunting for your head as long as you walk free on this earth.

RadixArk, led by former xAI employee Ying Sheng, raised a $100M seed at a $400M valuation to make AI inference more efficient via its open-source SGLang engine (Meghan Bobrowsky/Wall Street Journal)
https://www.wsj.com…

Even in #StarTrek there is a lot of conquest. And that means this subject makes for a good #TrekTriviaTuesday question.
As always no googling and no spoiling the answer for others. Please boost after voting! :BoostOK:
Vote will run for 24h, then I will reply with the correct answer…

Anyone good in statistics who can quickly answer a question? Assume I have an n-digit random binary number (for IT people: a bitstring). I calculate the number of 1s vs. 0s ("Hamming weight"). Expected to be usually ~0.5/50%. How does one calculate the probability for a given length n that it's above or below a certain value, i.e. <=40% or >=60%? And how many inputs would one on average need to get at least one such outlier?

Neue Ukraine-Angriffe - Experte: Russen werden zunehmend kriegsmüde #News #Nachrichten

Ranking the 10 worst QB rooms in NFL entering 2026; starting predictions for Week 1

https://www.cbssports.com/nfl/news/ranking-10-worst-qb-rooms-in-nfl-starting-week-1-p…

«KI-Modelle sind anfällig für wiederholte Angriffe:
Laut Forschern von Cisco versagen KI-Modelle bei realistischen Multi-Turn-Angriffen und lassen an Sicherheits-Benchmarks auf Basis weniger Prompts zweifeln.»
Der moderne Widerspruch ist die KI oder was ist es sonnst? So klug wie KI angeboten wird ist es einfach nicht.
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KI-Modelle sind anfällig für wiederholte Angriffe
Laut Forschern von Cisco versagen KI-Modelle bei realistischen Multi-Turn-Angriffen und lassen an Sicherheits-Benchmarks auf Basis weniger Prompts zweifeln.

Here's an answer for a life-changing technology that truly stands out:
"The Bicycle
Selected by Reshma Saujani
In the 1890s, the bicycle, as we know it today, finally let women go where they wanted, on their own, without asking permission. It even played a central role in the fight for women’s suffrage—a simple machine with outsized impact. Today, it reminds us what technology should do: expand freedom and opportunity. Millions of American women are still fighting f…

The May Day parade was great and these photos are so, so, so very South Minneapolis I just can’t even tell you.
If you want to know where that MSP resistance came from, what soil it grew in and how it bloomed, you can get a lot of your answer by looking at each of these photos — the art, and the faces.
https://minnesotareformer.com/2026/05/03/melting-ice-and-welcoming-spring-at-the-51st-mayday-parade/

Anyone good in statistics who can quickly answer a question? Assume I have an n-digit random binary number (for IT people: a bitstring). I calculate the number of 1s vs. 0s ("Hamming weight"). Expected to be usually ~0.5/50%. How does one calculate the probability for a given length n that it's above or below a certain value, i.e. <=40% or >=60%? And how many inputs would one on average need to get at least one such outlier?