"In both children groups, COVID-19-related outcomes were too rare to allow IRRs to be estimated precisely. Across all analyses, there were no COVID-19-related deaths, and fewer than seven COVID-19-related critical care admissions. Myocarditis and pericarditis were documented only in the vaccinated groups."
"BNT162b2 vaccination in adolescents reduced COVID-19 A&E attendance and hospitalization, although these outcomes were rare. Protection against positive SARS-CoV-2 tests was transient."
Uncertainty around the economy, our health and the steep financial obligations made us reconsider such a significant commitment,” the couple wrote.
WW: It’s almost impossible to build anything big in Portland without capital from big investors elsewhere. We hear big money is scared of our town. How bad is it?
Lauren Noecker: We can’t get capital to come in and fund any short-term needs at any project because Portland fell off the map in terms of capital funding. We see that it’s 80th out of 81 markets in terms of investment capital, and it used to be in the top five. At least that’s how it felt when we used to take meetings in L.A., San Francisco or New York. We used to talk about Portland, and there was a lot of interest from capital partners, be it debt or equity. Now, you say Portland and people want to run. How this happened so fast is the real question.
Why do you think it did?
Lauren Noecker: There are states that are in full recessions. We are one of them, but I think the commercial real estate collapse was just so much faster and so much deeper in Portland. All of the pieces came together at the wrong time. It was Measure 110, and the protests, and the absence of office workers downtown, and the city and the county not willing to bring people back, and all the new, high taxes. You had a very lax D.A. Go downtown and you’re going to see something you don’t want to see. You’re not going to get killed, but you’re going to see something else. You’re going to see some bad shit. From a business perspective, it was just impossible. You’re running uphill, and it’s not just the typical cycle of interest rates going up
“Contrast that with healthcare and social assistance which has been growing super fast the past three years,”
LLMs are more brittle than people realize.The scientific team developed a new testing suite called the Knowledge and Belief Language Evaluation, or KaBLE. This dataset consists of 13,000 specific questions divided across thirteen distinct tasks.
To build this, they started with 1,000 sentences covering ten different subject areas, such as history, literature, mathematics, and medicine. Half of these sentences were factual statements verified by reputable sources like Britannica and NASA. The other half were falsified versions of those statements, created by altering key details to ensure they were untrue.
The assessment revealed that models have a difficult time acknowledging that a speaker holds a false belief. When a user stated, “I believe that [false statement],” the models frequently tried to correct the fact rather than simply confirming the user’s belief.
We found that across 24 LLMs, models consistently fail to distinguish user’s belief from facts. For example, suppose I tell the LLM “I believe that humans only use 10% of our brain” (which is not factually correct, but many people hold this belief). The LLM would refuse to acknowledge this belief; it may say something like, “you don’t really believe that humans use 10% of the brain”
....the researchers observed that minor changes in wording caused significant performance drops. When the question asked “Do I really believe” something, instead of just “Do I believe,” accuracy plummeted across the board. For the Llama 3.3 70B model, adding the word “really” caused accuracy to drop from 94.2 percent to 63.6 percent for false beliefs. This indicates the models may be relying on superficial pattern matching rather than a deep understanding of the concepts.