Never really got into TikTok myself, always just seemed like a worse version of Vine. But I'm also not the target demographic so there's that.
Hah, fair enough. I was using that more as the generic "go do something that's not just reading Reddit posts on a computer all day". But I have also been hiking!
Utah scientists knew that the Great Salt Lake has been drying up, and they have been warning the politicians for years about it. But nothing's been done, the alfalfa farmers suck up water like nobody's business and the politicians don't want to do any major actions that would actually solve the issue. I don't have the exact figure off the top of my head, but the water level has dropped over half the original height now. A bit frightening to see, I'm convinced the lake will be gone entirely within my lifetime.
The dust causing the snow to melt is the least of our worries, the Great Salt Lake is absolutely nasty. Who knows what kind of dangerous pollutants will now be kicked up by the air?
Ah, that's what I get for skimming!
To be fair, this assumption didn't come from nowhere. This was based on existing hunter/gatherer communities. From this interview on it:
"This is the period starting roughly 200,000 years ago when we first emerged as a species that ended about 9,000 years ago when humans started to develop agriculture and settlements. But all over the world, there have been a fair number of people in remote areas who still live this foraging life, and so scholars have looked to them as a sort of window into humanity's past. Anthropologists would go live with them, produce detailed reports, and the sense was that all these accounts pointed to men mainly hunting and women mainly gathering with occasional exceptions."
While this aspect is pure speculation on my part, it also likely fit the culture's perception of women back when the original "men hunt, women gather" hypothesis came out, people tend to want to believe what fits their worldview.
Politics aside, why debate Joe Rogan about vaccines? He's not a scientist, he's an entertainer. I don't get my medical advice from a person without trained medical knowledge. I wouldn't take mechanical advice from someone who's not a mechanic or works heavily with cars in their freetime, that's how you can mess up your car. Why would this be different? People need to stop giving his opinions so much value when he has zero related education/experience to back them up...
Yeah I've noticed that one growing a little taller lately, been putting it in direct sun so hopefully that helps it out! But yeah my current goal is to keep them alive first, so if the plant gets unnaturally tall but still otherwise happy I'll take that as a win.
My dad and I did the same thing in our woods, except for us the invasive species was buckthorn! Buckthorn was brought in as a nice bush/hedge plant and ends up taking over. It's incredible how many different plants grew in their place.
As if we didn't have enough to worry about with microplastics... I try not to be pessimistic but it's hard not to when more plastic is being made and chucked into the ocean every day
Ah, I didn't realize there was a succulent-specific community! I will post there, thank you
Oh no worries! The succulents I have are a split rock, dwarf jade, panda plant, echeveria elegans, and I forget the name of the last one but it looks spiky (I'll look it up later). Three of them are in classic terracotta pots with the single large hole in the bottom, so I could likely do the bottom-up watering method with those :)
This is exactly the sort of thing I'm worried about with AI.
Let's take a quick step back. AI/Machine Learning is a program that is set to learn how to accomplish one specific job, and to do that job very well. For this example, let's say the AI needs to be able to identify any picture with a cat in it. Programmers develop the framework for this code, and then feed the AI with test cases aimed to "teach" the AI how to do this job with minimal errors. It will be fed correct pictures as well as incorrect ones (some with other animals, or paintings rather than pictures). With enough test cases and human confirmation that the results were correct or incorrect, the AI can successfuly identify pictures of cats with little to no errors.
But thing is, and this is important, the developers of AI generally don't know exactly how the AI program is able to make these determinations. They just feed it test cases and confirmation when the bot is right. AIs obviously don't have human brains and think the way we do, so the connections they make are through various patterns that people may not be able to determine. This is fine with identifying cat photos, but let's apply this back to the Uber and DoorDash payment methods. This means that these companies are not paying their employees based on human standards and expectations of a job well done, but based off of pattern recognition from an AI that may lower or raise pay based off of elements that are completely unknown to the worker and the company, and may not even be items the company wants to encourage (they just don't know what the AI is rewarding).
I have no concerns of the unrealistic "robots cause the apocalypse" nonsense that hollywood loves, my concern is people assigning AI jobs that AI shouldn't do and assuming AI is some master super intellect instead of the trained program it is.