Hoarding wealth is itself quite boring. There are many goals a person could have for their life, and "getting more money" is the least interesting. My question is always, TO DO WHAT? If you can't answer that question in some way that helps people (and then follow through if/when you do get that money) then your life is hollow no matter how many billions you have.
I'm actually worried that as AI gets smarter and more capable, it will become able to induce AI psychosis in even more people. Either accidentally or on purpose, I have no idea about that part.
Can someone explain to me the symptoms of AI psychosis that you have witnessed? Because I know several 2nd hand stories of people going through this but I haven't seen it myself up close. I am curious about it because this is gonna be the new widespread-social-ill of the next decade
I work with one guy who's just completely lost the ability consensus-build ideas with human beings. When he reaches consensus with his AI assistants on a design, analysis, plan of action, etc., he's extremely resistant to considering any other options or accepting any other input. When people do push back, he makes insinuations that they had better get with the times or AI is going to replace them. An AI native developer, of course, would not ask annoying questions like "what is the purpose of this change" or "how do you know this will make things better"; this is a time for action, don't you see?
Fortunately for me, he's not senior enough to make my life miserable. But if he ran our engineering org I have no doubt he'd inflict many of the same problems the source article describes on us. Reassigning software engineers to data labeling has all the hallmarks of an idea that came through this process; any human manager would immediately identify the obvious, showstopping problems with it, but to an AI whose experience of the world is exclusively mediated through written text it's not so obvious.
> I work with one guy who's just completely lost the ability consensus-build ideas with human beings. When he reaches consensus with his AI assistants on a design, analysis, plan of action, etc., he's extremely resistant to considering any other options or accepting any other input. When people do push back, he ...
To me this reads like a personal resistance to feedback / resistance to behavior change or a very jr eng more than agent related. Code isn't sacred — LLMs often easily generate absurdly overcomplicated garbage spaghetti code, but this appears to be getting better, and they are "steerable" towards better outputs with a few rounds of revisions, and some light process around a light spec, TDD, etc.
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