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Netanyahu: It is not enough to be moral. It is not enough to be just. "Jesus Christ has no advantage over Genghis Khan. If you are strong enough, ruthless enough, and powerful enough, evil will overcome good."

I don’t believe this is representative. But who knows. 2-3 bodies at 23? No way lol. Many women have that by the time they finish high school. College girls will put up 10 their first freshman semester lol.

People hate the tone of this piece, but my view is you don't need a journalist to tell you wrong things are wrong. (She does also call her thieving friends nihilists.) It's weird to be surrounded by thieves though -- if people I know steal from Whole Foods, they don't admit it.

NEW: The Washington Post editorial board is backing four key reforms to change Chicago’s financial trajectory. 1. Independent oversight of the budget. 2. Change state law to allow for municipal bankruptcy. 3. Implement $1 billion in efficiencies identified by EY in an analysis last year. 4. Change election timing to double turnout in municipal elections. Details on all four in the replies ⬇️

Every time a new issue rises, I first start by trying to learn as many facts as I possible about it. Then I analyze them with rationality and logic. You’re good to think I’m joking, but I swear, it’s just a coincidence how often my conclusions align with my class interests.

...Am I reading this correctly that this person claims cancer has been effectively cured for a while now, but you're not allowed to buy the cure due to regulatory barriers?

Worth mentioning that two of the AI players basically blew themselves up this week: * Musk said he would basically start brand new on XAI after most of his cofounders left and his product is basically crap. * Meta also shared that it’s AI is not working properly, after Zuckerberg spent hundreds of billions hiring out from other companies and internal staff didn’t like it. The company now plans to layoff 20% of its employees.

missionary so i can see the hate in her eyes for israel

META has delayed the release of Avocado until at least May after it underperformed on internal evals, according to reporting by the NYT. They are considering licensing Gemini from Google as a temporary solution.

This is a warning for NYC as well - People can resent the wealthy, but the math doesn’t change: a small number of taxpayers fund a large share of the system. The “tax the rich” soundbite ignores how mobile people are today. When they leave, the ripple effects go far beyond taxes - philanthropy, investment, and hiring tend to follow where people live.

BREAKING: 🚨 Someone just tested 35 AI models across 172 billion tokens of real document questions. The hallucination numbers should end the "just give it the documents" argument forever. Here is what the data actually showed. The best model in the entire study, under perfect conditions, fabricated answers 1.19% of the time. That sounds small until you realize that is the ceiling. The absolute best case. Under optimal settings that almost no real deployment uses. Typical top models sit at 5 to 7% fabrication on document Q&A. Not on questions from memory. Not on abstract reasoning. On questions where the answer is sitting right there in the document in front of it. The median across all 35 models tested was around 25%. One in four answers fabricated, even with the source material provided. Then they tested what happens when you extend the context window. Every company selling 128K and 200K context as the hallucination solution needs to read this part carefully. At 200K context length, every single model in the study exceeded 10% hallucination. The rate nearly tripled compared to optimal shorter contexts. The longer the window people want, the worse the fabrication gets. The exact feature being sold as the fix is making the problem significantly worse. There is one more finding that does not get talked about enough. Grounding skill and anti-fabrication skill are completely separate capabilities in these models. A model that is excellent at finding relevant information in a document is not necessarily good at avoiding making things up. They are measuring two different things that do not reliably correlate. You cannot assume a model that retrieves well also fabricates less. 172 billion tokens. 35 models. The conclusion is the same across all of them. Handing an LLM the actual document does not solve hallucination. It just changes the shape of it.