- 0 Followers
- 0 Following
- 2 Posts
“Scientists synthesize nutrients Bees no longer get because humans destroyed all the flowers, and we think this is a net good.”
I think the intern comparison fits. The root of the problem is that AI can very good at the thing is is good at. That leads humans to believe that it is good at other things. This is often untrue.
Often the things it is good at are in the set of ‘problems machines are good at’. Most professionals, people who are trained/experienced in their field face problem’s that are NOT in that set. They are skilled, experienced problem solvers, who are solving difficult, real world problems. Not generic workers, or human resources.
The belief at the top is often that this machine which is ‘so impressive’, must therefore be good at everything. And this gets pushed down. Where people experience that same truth. The machine is incredibly good at the things it’s good at, but it sucks doing what they do.
paraphrasing my grandpa - “To a suit with hammer, everything looks like a nail”
Sri Lankan writer and Indi Samarajiva’s essay is insightful
“The minority party threw chili powder at everyone in Parliament and took over by farce. Math, however, requires a majority and the courts kicked them out. They gave in. We’d been protesting for weeks and yay, we won. No. I didn’t know it at the time, but we had already lost. No one knew — but oh my God, what we lost. The legitimate government came back but it was divided and weak. We were divided and weak. We were vulnerable.
The coup was a farce at the time but how soon it turned to tragedy. They called it a constitutional crisis, but how soon it became a real one. Right now, the same thing is happening to you. I’m trying to warn you America. It seems stupid now, but the consequences are not.”
Here’s an archive of his Medium post. stupidcoup.byethost10.com/?i=1
decorum: request that questions use question marks.
why: differentiation - between “hey. look at what I made” posts and “anybody know how I can?” questions.