The socially awkward CEOs of these companies went out giggle farting about how AI was going to replace everyone. Everyone starting thinking about how that would mean nobody could eat because they see what’s happening in politics. Everyone decided to nope out of that.
If they had let their PR dept handle things everyone would be oblivious and happy right now.
Good thing they could not keep their mouths shut.
I wonder to what degree the Glass Door reviews are mentioning AI in the context of regular duties vs AI in the hiring process.
If it generated wealth that workers could share in, then they might like it. But it’s not generating wealth for anyone.
I swear to god, as much as I used to be pro ai from like 2019 to 2023, AI has made my coworkers so fucking stupid. So many of them are like useless without AI now and I keep getting sideways looks when I say I don’t use AI for my job.
I get it to some extent as I work IT, but come on! You can’t even make a fucking email without CoPilot telling you what to say!? Use AI as in Actual Intelligence! It’s found in that place between your ears, god damn it.
I hate AI with a passion.
For me AI represents a decline in cognitive ability.
In the past when I solved a problem, I actually learned something, and I felt great about that.
When using AI, I don’t get the same satisfaction of having learned something.
The way I see it, is that it’s a great tool for people that already know their shit and don’t want to bother writing the code for it. There are some other use cases which are nice, like updating documentation or helping with pull/merge requests.
But it sure isn’t worth all the downsides we currently know of, with the way it’s being implemented.
Blindly hating a tool is a you issue. Thousands of people needing to solve the same problem over and over is inefficient. Learn and practice for learning sake and then keep going researching new solutions in academia as in any other field. Or start applying proven solutions in industry as any other field does where experience which solution to apply makes the value proposition.
When a tool is a hindrance to the solution, while also making people more stupid and consuming vast resources and contributing to climate change, then the hate is deserved.
A tool is only as good as the person using it. There is literally a saying about a hammer being the only tool and every problem looking like a nail.
The hammer salesman has infiltrated every corporate marketing team on the planet. It is a requirement to use the hammer at a shit load on companies.
Valid criticism.
It is a tool for making billionaires more billions, that is about it. It can write sloppy code for you, and give you inaccurate and often directly erronous answers stolen from the people who actually provided those answers in the first place. It is not helping you in research, it is just making you forget how to actually research anything and making your brain lazier and lazier until your only source of information is its gaslighting.
It can’t do anything of the sort you are claiming it can do.
Is this comment ai? It stops making sense about halfway through.
Ignoring environmental issues, the issue at the moment is the tool is not production ready. If I design a tool to measure length of something but I can’t be confident the measurement will be right within a specific tolerance the tool is useless. If the tool is just guessing, well I can do that without the tool. Yeah it may be 85% accurate but I still have to employ someone to verify each one or risk selling bad product, because I can’t trust the tool.
People don’t “solve the same problem” over and over again, they learn what the solution is. You probably know a^2 + b^2 = c^2 or the Pythagoras theorem. You learned that. You didn’t “solve” it.
Now in addition you may have learned some uses of it. Things like measuring a shadow or knowing how long a road is going up a mountain. You also probably learned it won’t work to calculate how to shoot a basketball. Yes you know height of hoop and can measure the distance from you to hoop but the result is wrong because you throw on a parabolic curve not in straight line(not to mention gravity and air resistance etc). Ai doesn’t recognize those differences. If you tell it “given the height of a hoop and distance from the hoop, how can I tell how hard to throw a ball to get it into the hoop” it will give you an equation, probably calculate the distance with Pythagoras, then gathering average mass of standard basketball, and incorporating them into an equation for force required to push that mass to that distance.
From a software developer perspective another issue is context. I’ve seen alot of Ai slop where they calculate a value(say distance to monster in a game) each time it’s needed. Any software dev would calculate it once, store in variable, use it as many times you need, recalculate on next frame.
Again this is all ignoring the environmental, legal, societal, medical, mental effects. Just focusing on the fact the technology is several generations behind hoping to be production ready.
What is very problematic is not AI in its isolation. But the way how it is (and becoming more) embedded in the society with current socio-economic system. AI probably could very well coexist if our socio-economic system would be more adorned with it. Eg. having tax on AI tokens, Universal Income, or something else that just works.
“closer to the opposite” is a funny way of saying “the opposite”
AI has multiplied the workload and management is in psychosis
It’s not coincidental that the word “Saboteur” refers to someone throwing shoes into industrial machinery in an effort to cause it to jam or break.
glassdoor of all sites allowing astroturfing of thier reviews by said companies and worsening the layoffs.
Workers don’t hate LMM’s capabilities, but the notion that they won’t be needed anymore that most industry execs dream together. Which is not what LLM’s are capable of. Instead it will streamline certain things and workers will have to do the rest. Might that be used to push salaries down? They will try, so unionize.



