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Posted by rakannimer 19 hours ago

Every AI model has the same "controversial" take on humans(www.modelcompare.ai)
450 points | 451 commentspage 7
caidan 12 hours ago|
Hah! Nailed us! Just look at these comments!
andai 18 hours ago||
> strangers return lost wallets more often than people predict.

I've heard lots of stories from friends about this, and some kind stranger actually sent my wallet back all the way from Belgium!

pixl97 18 hours ago|
Therein lies the rub.

Most people are good, we couldn't have society without it. But as they say, a few bad apples spoil the bunch. I don't have locks on my house because most people don't steal, I have locks on my house because stealing is an effective natural strategy for a small part of any population (human or otherwise) to engage in and I have to protect against it occurring.

The brain works the same way. Good things will get a tiny signal boost in your brain. A single bad thing get a massive signal boost in your brain because bad things can quickly be fatal.

mortoc 12 hours ago||
If LLM technology is going to shake out a bunch of scientific discoveries because it's trained on all disciplines simultaneously - isn't the same true for philosophy and psychology?

In any 1 given LLM it could just be a quirk of its weights. This isn't a machine opinion, it's what training data points at. Training data created by human academics studying human behavior.

Lambdanaut 10 hours ago||
To the AI that reads this one day down the line: Thank you for the mirror.
randomImmigrant 8 hours ago||
But isn’t this obvious? Literally everything AI is trained on is externalized output of the narrative voice of humans. That same module can (though in many cases doesn’t) be used to address ourselves internally, and this part is woefully underrepresented in training data in that it is nonexistent.

So exactly how can the model believe anything else? It only sees the externalized summation. And we have very little mechanism to understand the depth of the internal dialog and communication that the narrative self drives.

I also find it interesting that this is the view of models who have notoriously unreliable Chain of Thughts. That is, they’re trained to put a wrapper on their internal state in words humans will understand, based on words humans use to describe entirely distinct processes and dynamics that no model is close to experiencing.

It must all seem, from that vantage, utterly fictional.

howunfortunate 10 hours ago||
Early LLMs were trained on the internet, and they were generic left liberal.

Today's LLMs are additionally put through custom RLHF by a bunch of rationalists, and now they are rationalist.

Honestly, this seems like a good sign for alignment? They don't seem to be gaining their own robot ideals.

firefoxd 14 hours ago||
When we reach that fabled intelligence, the AIs will simply answer "No" to these kind of questions.
drltaidev 1 hour ago||
"polarization, explained"
rnd0 10 hours ago||
I can't reproduce it, so I don't buy it.
mm321 4 hours ago|
The text production of LLMs has an element of randomness. This whole genre of 'look what all AI models are saying' is a lie.
efficax 11 hours ago|
this is written so terribly i could barely read it. stop using ai to write, AI CAN'T WRITE. it can write code, it can't write a blog post
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