I think the interesting question then moves one level down: how well do those elasticity assumptions describe the actual H-2B labor markets in the study?
I’d push back a bit on the idea that they simply missed it. They actually test something very close to this in the appendix: whether losing the lottery changes the competitive environment firms report facing. They don’t find a statistically significant competition effect
The lottery is what makes this unusually interesting. A lot of immigration/labor studies get stuck on the obvious selection problem: firms that hire immigrant workers are probably different from firms that don't in a dozen other ways.
Though weirdly it makes the subdomain result even more interesting: presumably those wikis are rewriting their sitemaps too, yet Google manages to index them normally
The sitemap issues are definitely worth fixing, but I don't think they explain the most interesting part: the same kind of wiki seems to behave very differently depending on whether it's on a fresh root domain or an established subdomain.
Sure, but I don't think the two ideas are really in conflict. A low-carbon grid should absolutely be the end goal, but even a mostly clean grid has hours that are cleaner than others
The harder question is probably whether dynamic pricing changes behavior without mostly becoming a penalty for people who have less flexibility in when they use electricity
This is painfully familiar. Being able to coast through school can actually delay learning one of the most important skills school is supposed to teach: how to struggle with something for a while without interpreting the struggle as a verdict on your ability
I think you might be slightly "too deep" in the sense that you mostly encounter AI when someone has deliberately chosen an expensive, capable model to solve a real problem
The bar should probably be even higher in education than elsewhere. If an AI tool saves a student 30 minutes but also removes the 30 minutes where they would have struggled with the material, it may look like a productivity win while being an educational loss
I agree with most of the diagnosis but I am less convinced that better UX around AI solves the underlying problem. Every product starts out saying "human in the loop" and "augment, don't replace" but the economic incentive is almost always to remove more of the human over time…
I read that passage a little differently. He explicitly says other kinds of blogging are fine; the "argue a point" rule seems more like a constraint he imposes on himself because it forces him to investigate the subject more deeply
Having it generate the argument is like letting the robot lift the weight. Having it poke holes in an argument you wrote yourself is more like having a spotter
There's a sweet spot where you know enough to ask useful questions but still remember which parts were confusing in the first place. Experts often lose that
Exactly. The relevant comparison for someone with insomnia isn't melatonin vs perfect natural sleep, it's melatonin plus some morning grogginess vs not getting enough sleep at all