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Three Inverse Laws of AI

susam.net

51–60 of 388 posts

Re: Three Inverse Laws of AI

#51
The thing that I find difficult about adjusting to AI tools is the roulette-like nature.

When they produce correct output, they produce it much faster than I could have, and I show up to meetings with huge amounts of results. When the AI tool fails and I have to dig in to fix it, I show up to the next meeting with minimal output. It makes me seem like I took an easy week or something.

Re: Three Inverse Laws of AI

#52
post #12

I understand that AI output is generated from statistical and representational patterns learned from a vast amount of data. My understanding is that, during training, the model forms high-dimensional internal representations where words, sentences, concepts, and relationships are arranged in useful ways. A user’s input activates a particular semantic direction and context within that space, and the chatbot generates…

"I think it would be fascinating if another intelligent species besides humans could exist" I wonder if replacing "exist" with "communicate using language we can understand" might better account for other animals, many of which have abundant non-human intelligence.

That is a completely new way of thinking for me, and I find it interesting. I should look it up and study it someday. Thank you for the thoughtful reply.

Re: Three Inverse Laws of AI

#53

> Humans must not anthropomorphise AI systems. Can someone explain why this is a bad thing, while at the same time it's a good thing to say stuff like "put a computer to sleep", "hibernate", "killing" processes, processes having "child" processes, "reaping", "what does the error say ?", "touch", etc? To me that's just language, and humans just using casual language.

The harm is in actually believing AI has wants, intentions, feelings, etc.

Saying that I killed a process won't make me more likely to believe that a process is human-like, because it's quite obviously not.

But because AI does sound like a human, anthropomorphising it will reinforce that belief.

Re: Three Inverse Laws of AI

#55

“ Humans must not blindly trust the output of AI systems. AI-generated content must not be treated as authoritative without independent verification appropriate to its context.” I’m lost, how do individuals actually do this in our current world? Is each person expected to keep a “white list” of reliable sources of truth in their head. Please don’t confuse what I’m saying with a suggestion that there is no truth. It j…

Checking AI citations and reading.

Critical thinking and reading comprehension and the primary tools in determining truth, AFAIK. Knowing facts beforehand helps too but a trustworthy source can provide false information as much as an untrustworthy source can provide true information.

This has always been an issue, and in the past it was a more difficult issue because your sources of knowledge were more limited. Nowadays its mostly about choosing the right source(s) rather than having to go out of your way to find them (like traveling to a regional/university library).

Re: Three Inverse Laws of AI

#56
Rather than “the book explains how bread is made” say “the sheets of paper which make up the book have ink in the shape of letterforms which correlate with information about how bread is made”.

Re: Three Inverse Laws of AI

#57
post #25

Earlier quoted context omitted.

We have invented a new tool that can cause great harm. Do you see any value whatsoever in promulgating safety guidelines for humans to use the tool without hurting themselves or others? Do you not own any power tools?

Of course there is value in promulgating safety *guidelines*. But we cannot guarantee those guidelines to always be followed.

Notwithstanding that the guidelines will even be applicable in the quiet versions that get deployed when you aren't looking. It's a constant moving target, and none of the fanboys will even acknowledge the lack of discipline in it all. It's fucking mad. And I say this as one who can see utility in the tools. But not when they are constantly shifting their functionality and behaviour.

One day everything works brilliantly, the models are conservative with changes and actions and somehow nail exactly what you were thinking. The next day it rewrites your entire API, deploys the changes and erases your database.

If only there was intellectual honesty in it all, but money talks.

Re: Three Inverse Laws of AI

#58
Anthropomorphizing LLMs is something that happens in the design stage, when they're given human names and trained to emit first-person sentences. If AI companies and developers stop anthropomorphizing them, users won't be misled in the first place.

Re: Three Inverse Laws of AI

#59
post #12

I understand that AI output is generated from statistical and representational patterns learned from a vast amount of data. My understanding is that, during training, the model forms high-dimensional internal representations where words, sentences, concepts, and relationships are arranged in useful ways. A user’s input activates a particular semantic direction and context within that space, and the chatbot generates…

I still haven't read any of his work, but wasn't the point of the Three Laws of Robotics that they in fact _didn't_ work in the story presented in the book?

Re: Three Inverse Laws of AI

#60
post #6

I strongly disagree with this framing. It's patently insane to demand that humans alter their behavior to accommodate the foibles of mere machines, and it simply won't work in the majority of cases. Humans WILL anthropomorphize the AI, humans WILL blindly trust their outputs, and humans WILL defer responsibility to them. Asimov's laws of robotics are flawed too, of course. There is no finite set of rules that can con…

> It's patently insane to demand that humans alter their behavior to accommodate the foibles of mere machines Talking to chatbots is like taking a placebo pill for a condition. You know it's just sugar, but it creates a measurable psychosomatic effect nonetheless. Even if you know there's no person on the other end, the conversation still causes you to functionally relate as if there is. So this isn't "accommodating…

Rubber duck debugging, now with droughts.
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