I just tried this and got a pretty decent song about learning from market signals, although I did need to mess around with inpainting to fix messed up lyrics (and you can see see a few places where it gets confused near the end).
I'll have to play around with this more. Thanks for the idea!
I read something a while back (wish I remembered the source) about how the rotten meat thing is sort-of less gross than you're thinking, since fermented meat can taste good if you do it right (think: sausage and aged steak), and presumably ancient people weren't constantly sick.
Edit: I think the source is this: https://earthwormexpress.com/the-prehistory-of-food/in-prehistory-we-ate-fermented-foods/
Although the descriptions might make you appreciate modern food even more.
If you think your house's location is too dangerous to live in, it seems weird to convince a friend to move there.
After reading https://bessstillman.substack.com/p/please-be-dying-but-not-too-quickly, I've been wondering why no one has made a semantic search tool for clinical trials, or at least something that generates consistent tags. I've been wanting to make one but haven't had time yet.
This "learning from a teacher" failures also seem to point at the same problem where LLM's can't learn well from their own output. Sometimes you get output where a model correctly explains why its current approach doesn't work, and then it does the same thing over and over again anyway.
I think you're still talking about something different from government workers taking bribes and working with the mob. The Department of Making It Hard to Approve Drugs making it hard to approve drugs because they, like a majority of citizens in this country, think it should be hard to approve drugs is a problem but not the same problem as corruption.
"Doctors" was too specific, but the largest category of spending is hospitals (30%) followed by "physicians and clinical care" (20%), and 56% of hospital spending goes to healthcare worker salaries (presumably an even larger amount goes to salaries for non-hospital workers).
Healthcare spending being somewhat opaque is a completely different problem than government agencies taking bribes and using violence though. The breakdowns for where this money goes exist if you care to look for it, and you can try to solve the problem but it turns out that "obvious waste" isn't one of the line items. Healthcare would be cheaper if we had fewer doctors, nurses and support staff, or paid them less, but we don't do that because the average person doesn't think that's a good idea (for better or for worse), not because nurses will murder us if we cut their salaries.
I'm confused about how this relates to DOGE. Is there any credible evidence of widespread corruption in the US civil service? It seems like most of our government costs are above-the-board payments to old people and doctors, and the biggest problems with the agencies are taking their mandates too seriously. I'm all for shaking things up at the FDA, but they don't seem to be accepting bribes or working with the mob.
While I'm learning new things, do you happen to know if there's any directory of community building projects here or any way to determine if in person meetups in my area exist (other than the obvious tools of Google, Facebook search, and meetup search)?
For rationalist-specific meetups, LessWrong has a map, although I think anyone taking meetups seriously also advertises on Meetup.com. For things that aren't listed, showing up a local meetup and asking people what else is going on is probably the best option. The ACX meetups tend to be much larger but happen less often. I think going to them is too infrequent to make friends, but they can be a good source of information about more frequent meetups.
Other ways to find communities are:
Whatever you pick, my advice is to find something that you can do at least once a week. Meeting people who you actually keep hanging out with is really difficult for one-off events.
That's what I did, but sometimes it didn't work well because all of the obvious places were full, and if I went somewhere else people would think I was intentionally avoiding the crowds. It also meant I only talked to people who sat in certain places.
It was particularly hard to find people to talk to during lunch.