Hi folks,
I’ve got two favors to ask. First, please ask me questions for a forthcoming “mailbag” post (like this one). Questions about the economy are of course welcome, but I’m also happy to share my thoughts on other topics—personal finance, the future of artificial intelligence, my political philosophy, life in Washington DC, or whatever else you’re interested in.
Please use Substack’s comment feature to pose your questions so that it’s easy for me to keep track of them. But if for whatever reason you don’t want to post a question publicly, sending me an email directly works too.
Second, I’d be grateful if you could click here and fill out a 10-question survey. Paying subscribers like you make my work possible, and I want to make sure I'm delivering the best possible product. So letting me know what’s been working and what hasn’t would be a huge help.
Thanks as always for supporting my work.
It would be interesting to see you write about the labor force participation stats over the last fifty years or so. Why so low before the 90's? Is this entirely a women-in-the-workforce story or is there more to it than that? How did it get so high in the 90's? Why the decline post GFC? Is this trend expected to reverse or continue?
Thanks!
Don't think I've commented since the switch over to Substack, but I just wanted to say how much I love your newsletter, and that I'm glad that it's continuing even if it is as a solo project now.
After reading a lot into ChatGPT and thinking back to other machine learning projects like autonomous taxis, it seems like modern machine learning tools have really gotten to a point where the only viable way to stay competitive is to have a gigantic data center on par with AWS or Azure. Do you think there is any hope for more localized machine learning software, or do you think it will all be consolidated to cloud services for the foreseeable future?