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
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
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…
«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.
🤖
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?
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.
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…
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?