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Three Inverse Laws of AI

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Re: Three Inverse Laws of AI

#91

Earlier quoted context omitted.

That’s a different thing altogether. Read up on the history of Eliza, one of the earliest attempts at a chatbot and its unsettling implications. https://www.history.com/articles/ai-first-chatbot-eliza-arti...

I think it's bad manners to bluntly tell someone they should "read up" on something because it naturally reads as a kind of a closeted accusation of not being sufficiently well informed. There are ways of broaching the topic of what background knowledge is informing their perspective that don't involve the accusation. Just to add a small bit of anecdotal value so this comment isn't just a scold: I one time many years…

It wasn't intended as such, but I take your point.

To provide a bit more context: Weizenbaum (a computer scientist in the 60s) developed ELIZA, a LISP-based chatbot that was loosely modeled on Rogerian psychotherapy. It was designed to respond in a reflective way in order to elicit details from the user.

What he found was that, despite the program being relatively primitive in nature (relying on simple natural language parsing heuristics), people he regarded as otherwise intelligent and rational would disclose remarkable amounts of personal information and quickly form emotional attachments to what was, in reality, little more than a glorified pattern-matching system.

Re: Three Inverse Laws of AI

#92
Anthropomorphizing is likely a mistake, but Daniel Dennett’s idea that the most straightforward (possibly only practical) way to create the external appearance of consciousness is a real internal consciousness does float around in my thoughts.

I haven’t yet seen any convincing appearance of one in an LLM, but I think if skeptical people don’t keep an eye out for the signs, we may be the last to see it.

He also wrote about the idea of the intentional stance: even if you’re quite sure these systems don’t have real conscious intent, viewing them as if they did may give you access to the best part of your own reasoning to understand them.

Re: Three Inverse Laws of AI

#93
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…

I find your critique very interesting from a perspective-angle: why are you using words like "accommodate," and "foibles," for LLMs? It's not humanoid or sentient: it's a cleverly-designed software tool, not intelligence.

It's not insane at all for humans to alter their behavior with a tool: you grip a hammer or a gun a certain way because you learned not to hold it backwards. If you observe a child playing with a serious tool, like scissors, as if it were a doll, you'd immediately course correct the child and educate how to re-approach the topic. But that is because an adult with prior knowledge observed the situation prior to an accident, so rules are defined.

This blog's suggested rules are exactly the sort of method to aid in insulation from harm.

Re: Three Inverse Laws of AI

#94
post #85

Earlier quoted context omitted.

LLM's now can capture intent. I think the issue now is that the full landscape of human values never resolves cleanly when mapped from the things we state in writing as being human values. Asimov tried to capture this too, as in, if a robot was tasked with "always protect human life", would it necessarily avoid killing at all costs? What if killing someone would save the lives of 2 others? The infinite array of micro…

“LLMs can capture intent now” reads to me the same as: AI has emotions now, my AI girlfriend told me so. I don’t discredit you as a person or a professional, but we meatbags are looking for sentience in things which don’t have it, thats why we anthropomorphise things constantly, even as children. We are easily fooled and misled.

What do you think it means to “capture intent” and where do current models fall short on this description?

From my perspective the models are pretty good at “understanding” my intent, when it comes to describing a plan or an action I want done but it seems like you might be using a different definition.

Tell me, what’s your intent? :)

Re: Three Inverse Laws of AI

#95

“ 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…

I... am not sure. Computers are machines that create order (like db tables) from the chaos of reality. Now we have LLMs that make computers spit out chaos as well.

They don't have to though, we can still leverage LLMs to organize chaos, which is what I hope they ultimately end up doing.

For example an AI therapist is a nightmare, people putting the chaos of their mental state into a machine that spits dangerous chaos back out. An AI tool that parsed responses for hard data (i.e. rate 0-9 how happy was the person) and then returned that as ordered data (how happy was I each day for the last month) that an actual therapist and patient could review is the correct use of AI and could be highly trusted. The raw token output from LLMs should just be used for thinking steps that lead to a parseable hard data answer that can be high trust.

Of course that isn't going to happen, but I can see some extremely cool and high trust products being built using LLMs once we stop treating them like miracle machines.

Re: Three Inverse Laws of AI

#96
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…

The entire business proposition for LLMs is that they will replace whole armies of [expensive] humans, hence justifying the biblical amount of CapEx. So of course there is strong incentive from the LLM creators to anthropomorphize them as much as possible. Indeed, they would never provide a model that was less human-like than what they have currently, even if it was more often correct and useful.

Re: Three Inverse Laws of AI

#98
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…

This is such an oddly fatalistic take, that humans cannot be influenced or educated to change how they see a thing and therefore how they act towards that thing.

Re: Three Inverse Laws of AI

#99
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…

> So this isn't "accommodating foibles" with the machine, it's protecting ourselves from an exploit of a human vulnerability: we subconsciously tend to infer intent, understanding, judgment, emotions, moral agency, etc. to LLMs.

Right, I'm saying that this framing is backwards. It's not that poor little humans are vulnerable and we need to protect ourselves on an individual level, we need to make it illegal and socially unacceptable to use AI to exploit human vulnerability.

Let me put it another way. Humans have another weakness, that is, we are made of carbon and water and it's very easy to kill us by putting metal through various fleshy parts of our bodies. In civilized parts of the world, we do not respond to this by all wearing body armor all the time. We respond to this by controlling who has access to weapons that can destroy our fleshy bits, and heavily punishing people who use them to harm another person.

I don't want a world where we have normalized the use of LLMs where everyone has to be wearing the equivalent of body armor to protect ourselves. I want a world where I can go outside in a T-shirt and not be afraid of being shot in the heart.

Re: Three Inverse Laws of AI

#100
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…

At the current price, people don't have to care if it's wrong. When you're paying $1/prompt, you had better hope it's accrate.
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