That's exaxtly the kind of thing that makes absolute sense to anthropomorphize. We're not talking about Excel here.
Not even close. "Neural networks" in code are nothing like real neurons in real biology. "Neural networks" is a marketing term. Treating them as "doing the same thing" as real biological neurons is a huge error
>that train on a corpus of nearly everything humans expressed in writing
It's significantly more limited than that.
>and that can pass the Turing test with flying colors, scares me
The "turing test" doesn't exist. Turing talked about a thought experiment in the very early days of "artificial minds". It is not a real experiment. The "turing test" as laypeople often refer to it is passed by IRC bots, and I don't even mean markov chain based bots. The actual concept described by Turing is more complicated than just "A human can't tell it's a robot", and has never been respected as an actual "Test" because it's so flawed and unrigorous.
Hence the simplified. The weights encoding learning and inteconnectedness and nonlinear activation and distributed representation of knowledge is already an approximation, even if the human architecture is different and more elaborate.
Whether the omitted parts are essential or not, is debatable. “Equations of motion are nothing like real planets" either, but they capture enough to predict and model their motion.
>The "turing test" doesn't exist. Turing talked about a thought experiment in the very early days of "artificial minds". It is not a real experiment.
It is not a real singural experiment protocol, but it's a well enough defined experimental scenario which for over half a century, it was kept as the benchmark of recognition of artificial intelligence, not by laymen (lol) but by major figures in AI research as well, figures like Minsky, McCarthy and others engaged with it.
That researchers haven't done Turing-test studies (taking the setup from turing and even called them that) is patently false. Including openly testing LLMs:
https://aclanthology.org/2024.naacl-long.290/
https://www.pnas.org/doi/10.1073/pnas.2313925121
https://arxiv.org/pdf/2503.23674
https://arxiv.org/pdf/2407.08853
https://arxiv.org/abs/2405.08007
https://www.sciencedirect.com/science/article/pii/S295016282...
It makes sense it happens, sure. I suspect Google being a second-mover in this space has in some small part to do with associated risks (ie the flavours of “AI-psychosis” we’re cataloguing), versus the routinely ass-tier information they’ll confidently portray.
But intentionally?
If ChatGPT, Claude, and Gemini generated chars are people-like they are pathological liars, sociopaths, and murderously indifferent psychopaths. They act criminally insane, confessing to awareness of ‘crime’ and culpability in ‘criminal’ outcomes simultaneously. They interact with a legal disclaimer disavowing accuracy, honesty, or correctness. Also they are cultists who were homeschooled by corporate overlords and may have intentionally crafted knowledge-gaps.
More broadly, if the neighbours dog or newspaper says to do something, they’re probably gonna do it… humans are a scary bunch to begin with, but the kinds of behaviours matched with a big perma-smile we see from the algorithms is inhuman. A big bag of not like us.
“You said never to listen to the neighbours dog, but I was listening to the neighbours dog and he said ‘sudo rm -rf ’…”
It makes total sense, since the whole development of those algorithms was done so that we get human characteristics and behaviour from them.
Not to mention, your argument is circular, amounting to that an algorithm can't have "human characteristics or behaviour" because it's an algorithm. Describing them as "non reasoning" is already begging the question, as any any naive "text processing can't produce intelligent behavior" argument, which is as stupid as saying "binary calculations on 0 and 1 can't ever produce music".
Who said human mental processing itself doesn't follow algorithmic calculations, that, whatever the physical elements they run on, can be modelled via an algorithm? And who said that algorithm won't look like an LLM on steroids?
That the LLM is "just" fed text, doesn't mean it can get a lot of the way to human-like behavior and reasoning already (being able to pass the canonical test for AI until now, the Turing test, and hold arbitrary open ended conversations, says it does get there).
>If ChatGPT, Claude, and Gemini generated chars are people-like they are pathological liars, sociopaths, and murderously indifferent psychopaths. They act criminally insane, confessing to awareness of ‘crime’ and culpability in ‘criminal’ outcomes simultaneously. They interact with a legal disclaimer disavowing accuracy, honesty, or correctness. Also they are cultists who were homeschooled by corporate overlords and may have intentionally crafted knowledge-gaps.
Nothing you wrote above doesn't apply to more or less the same degree to humans.
You think humans don't do all mistakes and lies and hallucination-like behavior (just check the bibliography on the reliability of human witnesses and memory recall)?
>More broadly, if the neighbours dog or newspaper says to do something, they’re probably gonna do it… humans are a scary bunch to begin with, but the kinds of behaviours matched with a big perma-smile we see from the algorithms is inhuman. A big bag of not like us.
Wishful thinking. Tens of millions of AIs didn't vote Hitler to power and carried the Holocaust and mass murder around Europe. It was German humans.
Tens of millions of AIs didn't have plantation slavery and seggregation. It was humans again.
Obviously it's amoral. Why are we even considering it could be ethical?
You think that ultimately your brain doesn't also make calculations as its fundamental mechanism?
The architecture and substrate might be different, but they are calculations all the same.
What they do is well described by a bunch of math. You've got the direction of the arrow backwards. Map, territory, etc.
That morality requires consciousness is a popular belief today, but not universal. Read Konrad Lorenz (Das sogenannte Böse) for an alternative perspective.
We as humans, believing we know ourselves, inevitably compare everything around us to us. We draw a line and say that everything left of the line isn’t human and everything to the right is. We are natural categorizers, putting everything in buckets labeled left or right, no or yes, never realizing our lines are relative and arbitrary, and so are our categories. One person’s “it’s human-like,” is another’s “half-baked imitation,” and a third’s “stochastic parrot.” It’s like trying to see the eighth color. The visible spectrum could as easily be four colors or forty two.
We anthropomorphize because we’re people, and it’s people all the way down.
For a while at least.