The problem is that 25% lower risk of all-cause mortality is too big to be explained solely by the vaccine. The reduction is similar when excluding deaths due to COVID-19, and is probably driven by people who got the vaccine being different in some ways that the observational study isn’t controlling for.
Not getting the vaccine is statisically correlated with distrust in traditional medicine, and suceptibility to giving undue attention and credit to unfounded and unsound practices.
If you're not on social media, you might be missing part of what has changed people's minds. Social media is the biggest consumer-facing technological innovation of the last two decades, and it's financially lucrative, but also net-bad for society. I have a sense that we should do something about it, but as you say, doing something would require repudiating the values I held when I was younger.
Per https://www.fda.gov/inspections-compliance-enforcement-and-c..., it looks like the FDA is unhappy that Cue did something to identify whether the cartridge went outside of the allowed temperature parameters in transit (CP-4166 says that the seller is responsible if a device malfunctions due to damage in transit) and didn’t test each lot as much as they were supposed to or maybe used a lower accuracy threshold than stated in their claims.
A single TPUv2 host has 8 TPU cores with 64GB of total HBM (8GB per core), but like GPUs, TPUs can't directly access a network, so the host also needs CPUs and standard RAM to send data to them. They are fast, and the host has to be fast enough to keep them fed with data, so the host is pretty beefy. But FWIW, a TPUv2 host has somewhere around 330GB of RAM, not 1.4TB.
There's nothing super-special about the host. The accelerators are the special part (and, as described elsewhere, they are orders of magnitude more powerful than the Edge TPU). However, if you're an academic/independent researcher, being able to access a system with that much system memory/CPU cores for free through TPU Research Cloud is potentially appealing even without the accelerators.
According to the paper, "the success of our attack when applied to Claude may be lowered owing to what appears to be an initial content filter applied to the text prior to evaluating the LLM." The authors are skeptical that this defense would be effective if it were explicitly targeted, but it seems like it does stop attacks generated using Vicuna from transferring.
In ML, no one is going to police your citation list. I've cited some weird stuff in my papers, including ideas from tweets and random quotes from Jeff Dean. It's never been a problem.
It's interesting, because as a scientist who reads and writes these kinds of papers, my first impression was: This guy has a pretty big ego or is otherwise badly miscalibrated if he believes his genius idea has a "99.44%" chance of preventing outlier activations without doing any experiments.
Yes, there are more obese and elderly people now than there were in 1957. No, we can't "adjust" death numbers to place less weight on the deaths of those obese and elderly people in this context. Perhaps it would make some sense to do so if our goal was to measure virulence of the virus, but policy decisions have to take into account the composition of the population as it is today.
If this is true (https://en.wikipedia.org/wiki/Legacy_preferences#Economic_im... suggests it's disputed), the effect is probably marginal, and in any case, Harvard has the largest academic endowment in the world. It seems unlikely that it needs legacy admissions to stay afloat.
