Should AI generated posts be banned or otherwise regulated?


I just wonder. 

At least, when I start a new thread, I am expecting other people's opinions.  I can get my own AI response so I am not sure why others would repeat what I can do myself. 

If someone were to have access to some better AI than I have access to, I guess that would be useful info I could not otherwise get.  But in general, I wonder why posters think responding with AI content is useful to someone who can get that directly themselves. 

jji666

@lanx0003 Thanks for that clear walk through -- genuinely appreciated. We can leave things here.

(One thing I'll keep turning over: namely that LLM users weren't just equivalent to the control group on condition identification -- they were measurably worse. Unless I'm confused, that finding alone seems like the sharpest challenge to the "skilled users will figure it out" interpretation, and I'm not sure the thread has fully reckoned with it. But it's time for a walk.)

@mitch2 Here's what your AI said:

“Predictions that new inventions will create mass, permanent unemployment have occurred frequently throughout history, dating back to at least the time of Aristotle. While technology often renders specific jobs obsolete, historical evidence overwhelmingly suggests that these predictions of mass unemployment have been wrong. Over the long term, technological advancements have created more jobs than they destroyed, while significantly raising standards of living.”

Here's what my AI said in response:

"The historical claim is largely accurate -- previous waves of technological disruption ultimately generated more jobs than they eliminated, and living standards rose alongside productivity. The pessimists were repeatedly wrong, and that track record deserves acknowledgment.

But there are reasons to be cautious about applying that pattern to the current moment. Previous automation displaced physical or routine cognitive labor while leaving complex judgment and creativity largely intact. 

AI is different in kind -- it's encroaching on precisely those domains previously considered automation-proof. The historical sample may not be analogous.

The distributional point also gets glossed over too easily. "More jobs created than destroyed" is a macroeconomic consolation that the handloom weavers of the 1800s couldn't spend. Transition costs fall unevenly and can span generations.
And speed matters. Previous disruptions unfolded over decades, allowing institutions and labor markets to adapt. Current AI development is compressing that timeline considerably, which could overwhelm adaptive capacity even if the long-run equilibrium is ultimately positive.

So -- historically informed optimism, yes. Complacency, no."

Fun, huh?

@hilde45 - I hear ya, but all the doom and gloom, sky-is-falling, fear-mongering rhetoric out there lately seems to be unnecessarily oppressive.  I get that many don't like change, but I refuse to live by worrying about what might happen, especially when much of it never does. I certainly understand why folks from Missouri say "Show Me". 

@mitch2 

yes

I just read an article showing the people that are using AI the most are the higher level employees. They are typically overwhelmed with work, motivated and open to new ways of becoming more effective. So they worked their way up by hard work and are now becoming more productive... I’m guessing they will stay.

I’ve spent most of my career introducing new technology. There are good reasons to expect some differences... but it will also enable folks that adopt and use new tools to become incredibly productive. I have helped and seen many clerks and stock people go from $35K jobs doing mundane work to making well over $100K by being early adopters and then teaching and implementing new tech. Change affords great opportunities for those who grab on. '

Now alignment... that could be a showstopper. Fingers crossed on that one.  

 

I have helped and seen many clerks and stock people go from $35K jobs doing mundane work to making well over $100K by being early adopters and then teaching and implementing new tech.

Employee with paycheck makes $100K a year! You don't say!! Now that's an American success story if I ever seen one. Move over, Elon.