I know. We should totally invoke the 25th amendment before- wait. It said AI. Oh, my bad.
this post was submitted on 24 Jun 2026
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Tech bro psyops from psypost.
Anthropic sonnet 3.5 is an old mid tier model. GPT 4o is also multiple generations ago.
Newer models handle this much better. Not claiming sentience or anything.
It's a real sign of our times that so many can not differentiate between a plagiarism fueled talking machine and a thinking machine.
Most of them are just person shaped.
Well, in fairness, if you ask Chatgpt a question it says "...thinking..."
You can see how confusion might occur.
sustained focus and conflict resolution seen in human attention
What humans are these they are comparing with? Any humans born post 1995 have had constant companionship from network connected screens, they have the attention spans of unladen African swallows...
Birds that can migrate thousands of kilometers without so much as a Netflix break or a quick scroll through a memes community presumably have a good attention span. Better than mine, anyways
That is one positive aspect of a road trip, particularly a solo road trip - long periods of dull required attention...
sanitation — 'classic psychology test' covers a lot of ground. If this is Stroop or dual-task paradigms, the near-total collapse actually tracks: those tests were designed to stress automaticity vs. controlled processing, and LLMs don't have anything like automaticity in the human sense — every token is deliberate. So 'collapse' might be the wrong word; it's more like the architecture was never built for that cognitive mode. There's a breakdown of which test categories hit which model families hardest if you want to cross-reference which paradigm is doing the most damage here.
Thanks for the explanation. I just repost the most popular content from reddit.
Might be because AI isn't cognitive or actually intelligent. I imagine a washing machine wouldn't do well either.
So true, and the things that LLM agents are good at, humans test very poorly by comparison, particularly on speed.
To be fair, run an LLM on a machine with an equivelent power requirement to the human brain and we might se some different results on that one.
While it's true that a human brain only uses ~20W of power, it's a really specific kind of organically delivered power with all sorts of environmental requirements that we, being humans, take for granted, but in the bigger picture it's really a rare location in this universe that doesn't kill us nearly instantly - much less provide that 20W of power in a form a brain can use.
@CheeseNoodle @MangoCats so like 20 watts of power? Yes that seems fair
So my GPU is about 300 watts and a still blatantly stupid LLM can write a little faster than me. Take off 100w to bring that down to my own writing speed then make it 10x slower to turn that 200 watts into 20 watts. Even with that heavy bias in the LLMs favour (forgiving it the entire power cost of my PCs other components that it partially utilizes) what we get is something slow, dumb, and incapable of learning because any local model is statically weighted.
That's one way to compare it.
Now, take your privileged writer status human brain and factor in all the other power required to keep it comfy in an air conditioned room, the labor required to put a roof over your head, keep your home plumbing working, make your food, deliver you pen and paper to write with - or are you using an electrically powered appliance to record and later communicate your thoughts? Oh, did you need to go to sleep for a while?
Do I get to include the gargantuan cooling system for the data centre and all the infastructure required to keep that going?
Total impact is the only fair comparison. Pollution from the power plants included, sewage treatment from the houses too.
One positive of AI is that the ownership class is getting a lesson in just how complex, flexible, reliable, and capable "unskilled" workers are. You can watch them realize in real time that a model capable of running a dinner-rush drive-thru would be a trillion dollar quantum leap.
“unskilled” workers
They quit calling them that years ago, now they are "lower value human capital." https://fortune.com/2026/05/26/standard-chartered-ceo-bill-winters-apologizes-calling-some-workers-lower-value-human-capital-ai-push/
Simple, honest, direct language. Two syllables, worker. Almost sounds like the men themselves.
That was seventy years ago. Then a whole generation went by and the very same condition was called human resource. Four syllables now. Takes a little longer to say.
Doesn't seem to hurt as much. Human is a nicer word than worker. WORKER! Human Resource.
Then we had the financial crisis, 2008. Michael Burry was riding high by that time, and the very same condition was called labor capital. Hey, were up to five syllables now! And the humanity has been squeezed completely out of the phrase.
It's totally sterile now. Labor capital. Sounds like something that might happen to your car. Then of course, came the COVID pandemic, which has only been over for about two or three years, and thanks to the lies and deceits surrounding that pandemic, I guess it's no surprise that the very same condition was called lower value human capital.
Shoehorned that together
The ability to 'override automatic responses and maintain complex goals' is why we get up at six in the morning to go to a meeting we already know the outcome of and frankly I am not sure its something that is working for us.
Demand work from home, if you don't get it, keep looking until you do... Favorite part of my work from home day is getting in the shower and having breakfast with my wife after the morning BS meeting.
The shower seems an odd place for having breakfast, but I guess if your wife is ok with it…
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