> It's early in the year. You want to drive straight through the middle of Chinatown in SF. Why might that be a bad idea? I feel like a Google Maps-style system would discover this automatically by noting via phone location data that there is heavy traffic in Chinatown. (I do get the author’s point, but I think that factually this example would not be a problem)
Maps apps see the streets that don’t have cars on them (the same ones closed for a festival) as good routes to send vehicles because there’s currently no vehicles using them. It keeps trying to route people there and doesn’t understand why. I think it takes someone (at Google) manually marking those roads as unavailable before it will stop trying. I’ve seen it happen with other things too, like if a highway is closed…
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71–80 of 184 posts
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#72Re: That post never existed. Stop listening to that thing
#73> The worst part is that everyone who's decided to willingly lobotomize themselves is going to have to come to the realization that these things are full of shit. It'll have to happen one by one, and nobody else can make it happen for them. A fascinating dichotomy has become apparent between those who trust LLM output and those who don’t and don’t understand why you would. Surely if the machine you go to for answers…
I have a distinct line between when I'm willing to believe an LLM's output and when I'm not: whether I would believe the same thing from an anonymous Internet forum post or a blogger I don't know. Those posts are not unlikely to be misinformed, biased, lies, or otherwise untrustworthy. And yet, I spent plenty of years honing a sense of when they were good enough for certain things.
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#74> I maintain that anything that is sufficiently aware to be able to actually understand things is also going to have enough of a sense of self that you won't just be able to tell it what to do. I don't see any reason for this to be true. "Actual understanding" (which I take to mean something like a predictive world model) and desire for self-determination coincide in humans because of our evolutionary history, becaus…
We have difficulty defining “actual understanding”. Humans get a free pass because we assume humans as a species possess this power but if we were to judge based on output alone maybe you couldn’t tell a human from a sufficiently advanced LLM/AI. So I’ll be handwavey here and say that if “actual understanding” is to an LLM what an LLM is to a bash script, so there’s a mechanism there that doesn’t just follow hardcode…
Nah. Separate things are separate until proven otherwise.
So much bullshit appears in the form "X is Y" where X and Y are related but distinguishable phenomena. If you really try to pretend that every such phrase deserves serious consideration just because it feels plausible to someone, you drown in nonsense immediately. (Of course what you actually do is only grant that consideration to ideas that feel plausible to you personally, but it's obvious why that's not a good principle, right?) So we have to make all of them justify their existence.
Anyway:
> So I’ll be handwavey here and say that if “actual understanding” is to an LLM what an LLM is to a bash script
No. None of this. Pretty sure this is just an incoherent analogy.
> so there’s a mechanism there that doesn’t just follow hardcoded paths, it takes new data and processes it in novel but human like ways...
You're putting your conclusion in the premise, right there in the open.
> ...then the author is right, in my opinion.
This still doesn't follow from your handwaved premises as far as I can tell.
Re: That post never existed. Stop listening to that thing
#75> It's early in the year. You want to drive straight through the middle of Chinatown in SF. Why might that be a bad idea? I feel like a Google Maps-style system would discover this automatically by noting via phone location data that there is heavy traffic in Chinatown. (I do get the author’s point, but I think that factually this example would not be a problem)
Maps apps see the streets that don’t have cars on them (the same ones closed for a festival) as good routes to send vehicles because there’s currently no vehicles using them. It keeps trying to route people there and doesn’t understand why. I think it takes someone (at Google) manually marking those roads as unavailable before it will stop trying. I’ve seen it happen with other things too, like if a highway is closed…
Google is able to estimate crowd sizes in a business or on a public transit vehicle. This seems to be based on the number of Android devices reporting their location in a cluster. Maps could obviously make inferences if there were large crowds of people, not moving in vehicles.
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#76Earlier quoted context omitted.
We have difficulty defining “actual understanding”. Humans get a free pass because we assume humans as a species possess this power but if we were to judge based on output alone maybe you couldn’t tell a human from a sufficiently advanced LLM/AI. So I’ll be handwavey here and say that if “actual understanding” is to an LLM what an LLM is to a bash script, so there’s a mechanism there that doesn’t just follow hardcode…
> Humans get a free pass They really shouldn't. Does nobody remember why fizzbuzz was a thing? People who talked a big game while having no actual competence or understanding of the subject matter?
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#77> I maintain that anything that is sufficiently aware to be able to actually understand things is also going to have enough of a sense of self that you won't just be able to tell it what to do. I don't see any reason for this to be true. "Actual understanding" (which I take to mean something like a predictive world model) and desire for self-determination coincide in humans because of our evolutionary history, becaus…
> because our reward function involves reproducing in a competitive environment This is an extremely reductive way to look at human existence. So much so that I read this with Richard Dawkins voice in my head. Our existence is far richer then just the capability to reproduce. We (as well as other animals and even plants) do far more things then multiply, and in fact we often do things which are detrimental towards th…
Re: That post never existed. Stop listening to that thing
#78> The worst part is that everyone who's decided to willingly lobotomize themselves is going to have to come to the realization that these things are full of shit. It'll have to happen one by one, and nobody else can make it happen for them. A fascinating dichotomy has become apparent between those who trust LLM output and those who don’t and don’t understand why you would. Surely if the machine you go to for answers…
I have a distinct line between when I'm willing to believe an LLM's output and when I'm not: whether I would believe the same thing from an anonymous Internet forum post or a blogger I don't know. Those posts are not unlikely to be misinformed, biased, lies, or otherwise untrustworthy. And yet, I spent plenty of years honing a sense of when they were good enough for certain things.
AI shouldn’t have any reason to lie. But its lies aren’t intentional. It’s just actually making things up and “hallucinating” when it pretends that an option or setting exists, or confidently claims something entirely untrue, and makes up a source to go with it. For something Google is willing to shove into the top of every search result it’s crazy the percentage of time the answer is blatantly incorrect.
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#79Earlier quoted context omitted.
A lot of that sense was probably based on side channels like proper grammar, writing style, etc. That’s all gone now :(
We have other signals now. Before we would find an intriguing post on the internet from years ago, and you have to verify it with additional research--it's easy to skip that additional research. With a LLM when you're skeptical you can interogate it. One thing we know for sure is LLMs are quick to admit mistakes were made when interrogated, comically so. A LLM might not always recognize its own mistake, but at least…
Re: That post never existed. Stop listening to that thing
#80Earlier quoted context omitted.
I have a distinct line between when I'm willing to believe an LLM's output and when I'm not: whether I would believe the same thing from an anonymous Internet forum post or a blogger I don't know. Those posts are not unlikely to be misinformed, biased, lies, or otherwise untrustworthy. And yet, I spent plenty of years honing a sense of when they were good enough for certain things.
A lot of that sense was probably based on side channels like proper grammar, writing style, etc. That’s all gone now :(