Bad or good for consumers?
Does it matter if you need to drive 8 or 11 miles (non-desert vs. desert) to buy boxed cereals and processed food?
CostCo rides the same dynamic, at scale. CostCo deserts?
Want to fix it, HN-style? Create a startup! But more regulation? Ffs.
> Low access is characterized by at least 500 people and/or 33 percent of the tract population residing more than 1 mile from a supermarket or large grocery in urban areas, and more than 10 miles in rural areas
(source: https://www.ers.usda.gov/webdocs/publications/45014/30940_er... )
Interestingly enough, this is measured by the euclidian distance, not by the actual number of miles required to travel.
I think that there are two kinds of people who use AI: people who are looking for the ways in which AIs fail (of which there are still many) and people who are looking for the ways in which AIs succeed (of which there are also many).
A lot of what I do is relatively simple one off scripting. Code that doesn't need to deal with edge cases, won't be widely deployed, and whose outputs are very quickly and easily verifiable.
LLMs are almost perfect for this. It's generally faster than me looking up syntax/documentation, when it's wrong it's easy to tell and correct.
Look for the ways that AI works, and it can be a powerful tool. Try and figure out where it still fails, and you will see nothing but hype and hot air. Not every use case is like this, but there are many.
-edit- Also, when she says "none of my students has ever invented references that just don't exist"...all I can say is "press X to doubt"
But if you can do the task well enough to at least recognize likely-to-be-correct output, then you can get a lot done in less time than you would do it without their assistance.
Is that worth the second order effects we're seeing? I'm not convinced, but it's definitely changed the way we do work.