It seems to me that LLM's could massively improve reproducibility issues if journals would require that the papers be reproducible by model X using a standardized prompt in < N minutes, etc...
Furthermore, even if the trade deficit was something to worry about, why should the food and drug safety bureaucracies be the ones to determine that kind of economic policy?
I've been working through Nand2Tetris with my 13-year-old son, but the official hardware simulator was pretty overwhelming. That's why I built a browser version that tests the first 2 chapters, is simpler, and has a tighter feedback loop with more helpful hints.
It's not insane at all to return both in a lookup. The "reporting person" will often be wrong about slight variations when calling in a license plate and the downside of errors are asymmetric: it is much more dangerous for the officer to think a driver doesn't have a warrant when they do versus thinking they have a warrant when they don't.
People are worse at mental arithmetic than they were in the recent past, so it's not clear that they aren't "dumber" in the sense people meant at the time.
Does this apply to other domains or just AI? For example, if you think gain-of-function research accidents put millions of lives at risk, is the logical next step to quit your job and become a terrorist?
I'm beginning to homeschool my kids in computing, and we are pairing up chapters of The Elements of Computing System (the Nand2Tetris book) with games that teach similar skills/kinds of thinking (Human Resource Machine, Comet 64, etc...), but we didn't find anything to supplement the first two chapters (where you build basic chips up to an ALU in HDL). I ended up starting creating a kind of browser based kata for those chapters here:
There are ZIP codes that overlap a city and also an unincorporated area. Furthermore, there are zip codes that overlap different states. A data model that renders these unrepresentable may come back to bite you.