"Thus, anyone who wants to corral that kind of entity and make it do their bidding? Yeah, they want slaves." Always comes to mind when I see Elon and friends getting excited about AI robots. Slavery was more about economics than the role-playing.
Slavery was about racism and power and control, not economics. Slavery is bad for the economy! https://www.nber.org/papers/w31758 https://www.noahpinion.blog/p/nations-dont-get-rich-by-plund...
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51–60 of 184 posts
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#52> 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…
Making things up is only really a common issue on the non-thinking models which nobody should be using. The regular chatbots are Autogooglers and are very useful for research. This is just not a good argument anymore. Edit: Guys, why are we downvoting this? Does no one use like ChatGPT or Claude and understand how it works? Do you all think its regularly hallucinating links still? Is everyone on HN using like free si…
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#53"Thus, anyone who wants to corral that kind of entity and make it do their bidding? Yeah, they want slaves." Always comes to mind when I see Elon and friends getting excited about AI robots. Slavery was more about economics than the role-playing.
I didn’t really get this point in the essay. What’s wrong with wanting servants as long as it’s done ethically etc and is not indentured servitude? The whole gig/services economy is just building this up piece-by-piece: you can now pick the set of household needs you want taken care of for varying levels of money; and practically everyone participates in one form or another. This is exactly a disaggregated 21st centu…
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#54> 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.
It's a great tool, but verify the important things (or do them yourself)
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#55> 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.
In my experience every LLM out there is utterly useless and quickly defaults into "here are other concerts that took place around that time near that location". Google Search (ignoring the AI overview) is even more useless, as it refuses to show literally any webpage that's older than say 5 years. YouTube search is genuinely better than Google at surfacing old and grainy fan-made videos uploaded in like 2010, but also defaults into synonyms nonsense pretty quickly.
But, the search functionality of exactly one forum and three local news websites that I know have an archive that dates back long enough beats every single one of those abovementioned every single time. Three people are talking about their experience at a concert on a random 15+ year old forum thread? It happened. The tiny list of 5 or so (Google-hosted!) Blogspot blogs I have bookmarked? They usually have a photo of the ticket that Google Images refuses to show me.
Not only are search engines completely dead as a category, but LLMs are a shit replacement for them. "We" (okay, Google specifically) has truly committed a crime comparable to burning the Library of Alexandria. Everything older than a decade that wasn't properly documented on Wikipedia is just gone, never to be seen again.
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#56"Thus, anyone who wants to corral that kind of entity and make it do their bidding? Yeah, they want slaves." Always comes to mind when I see Elon and friends getting excited about AI robots. Slavery was more about economics than the role-playing.
Slavery was about racism and power and control, not economics. Slavery is bad for the economy! https://www.nber.org/papers/w31758 https://www.noahpinion.blog/p/nations-dont-get-rich-by-plund...
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#57Earlier 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 :(
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#58Also, I imagine keeping their cars out of Chinese New Year celebrations (and other big events) is something Waymo could figure out how to do if they put their minds to it.
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#59Well the answer is actually that it's always a bad idea to drive straight through the middle of Chinatown at any time of the year, because the streets are narrow and full of tourists.
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#60There's really no content in this post other than the claim that LLMs are stochastic parrots. That was a live debate two years ago. It's a very strange thing to write in 2026.
Why is it strange? It's still true.
And then during inference the light goes out and the "agent" staggers randomly like a zombie along those preset paths. Stochastic parrot.
So you and your AGENT.md and your skills files and your harnesses will never make your Claude perceive something that is not in its model checkpoint.
ML experts and neurobiologists free to correct me.