Willem challenged us to ask ourselves what we would do if we were living under Nazi occupation. Before all of this, I doubt anyone thought they would be complicit. I doubt anyone said to themselves, "nothing. I would cower in fear and do nothing."
But for 4 years or so we all answered that question again and again with our lives. Now here we are, answering it again... Every day. But it's no longer "what would you do during the rise of Hitler?" It's now, "what would you do after the invasion of Poland," and "what would you do after you knew about the concentration camps?"
For some people, the answer is still, "nothing."
But a lot of people have been brave in the face of it all. A lot of people have died, and a lot more will die. He will die, perhaps after a ruling by some court or other but, honestly, probably not. That's just how these things work out. Lots of people die, some for no reason, some because they stood up against injustice. A whole lot of people do nothing, until it's safe to claim victory... Until it's no longer safe to be on the other side.
That's just how these things go. Fascism is self-defeating, but it causes incredible harm on it's path of self-destruction. The more people who stand up, who risk themselves, the faster it collapses and the fewer it can hurt. That's also just how these things go. It's incredibly dangerous for everyone until enough people take some extra risk and make it safe for everyone again.
But that question still stands... Which one of those groups are you in? Are you proud of what you are doing, or will you look back with shame? Some of y'all have a lot to be proud of, but, if you're not, it's never too late to earn your way into that proud group.
3 Points: Tyler Guyton, Terence Steele working to answer OT questions https://www.dallascowboys.com/news/3-points-tyler-guyton-terence-steele-working-to-answer-ot-questions
I’m not sure what sets us up to have better LMSes, but I don’t think institutions building them in-house is a viable answer.
One long-successful direction I like that has been gaining ground of late is course-specific web sites. I’m cheering the rise of static site generators, and hoping they continue to creep outside the confines of the techiest among us. A course site is not an LMS, but moving course •content• mostly out of the LMS simplifies the problem considerably!
/end
3 Points: Tyler Guyton, Terence Steele working to answer OT questions https://www.dallascowboys.com/news/3-points-tyler-guyton-terence-steele-working-to-answer-ot-questions
«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.
🤖
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?
Iran-Krieg treibt laut Bericht Platinenpreise hoch
Der wichtigste Lieferant von Polyphenylenether hat nach einem Angriff offenbar die Auslieferungen eingestellt. Das betrifft alle elektronischen Geräte.
https://www.
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…
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…
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?