Why? It’s a tool like any other, and we’re unlikely to stop using it.
Right now there’s a lot of hype because some tech that made a marked impact of consumers was developed, and that’s likely to ease off a bit, but the actual AI and machine learning technology has been a thing for years before that hype, and will continue after the hype.
Much like voice driven digital assistants, it’s unlikely to redefine how we interact with technology, but every other way I set a short timer has been obsoleted at this point, and I’m betting that auto complete having insight into what your writing will just be the norm going forward.
The Chinese room argument doesn’t have anything to do with usefulness. Its about whether or not a computer that passes the turing test is conscious.
Besides, the argument is a ridiculous one to begin with. It assumes that if a subcomponent of a system (ie the human) lacks “understanding”, then the system itself (the human + the room + the program) lacks understanding.
Anything else aside, I wouldn’t be so critical of the thought experiment. It’s from 1980 and was intended as an argument against the thought that symbolic manipulation is all that’s required for a computer to have understanding of language.
It being a thought experiment that examines where understanding originates in a system that’s been given serious reply and discussion for 43 years makes me feel like it’s not ridiculous.
At best you’re arguing that because it’s not conscious it’s not useful, which… No.
My car isn’t conscious and it’s perfectly useful.
A system that can analyze patterns and either identify instances of the pattern or extrapolate on the pattern is extremely useful. It’s the “hard but boring” part of a lot of human endeavors.
We’re gonna see it wane as a key marketing point at some point, but it’s been in use for years and it’s gonna keep being in use for a while.
A system that can analyze patterns and either identify instances of the pattern or extrapolate on the pattern is extremely useful. It’s the “hard but boring” part of a lot of human endeavors.
I agree with most of what you’re saying here, but just wanted to add that another really hard part of a lot of human endeavors is actual prediction, which none of these things (despite their names) actually do.
These technologies are fine for figuring out that you often by avocados when you buy tortillas, but they were utter shit at predicting anything about, for instance, pandemic supply chains…and I think that’s at least partially because they expect (given the input data and the techniques that drive them) the future to be very similar to the past. Which holds ok, until it very much doesn’t anymore.
ricecake@sh.itjust.works 11 months ago
Why? It’s a tool like any other, and we’re unlikely to stop using it.
Right now there’s a lot of hype because some tech that made a marked impact of consumers was developed, and that’s likely to ease off a bit, but the actual AI and machine learning technology has been a thing for years before that hype, and will continue after the hype.
Much like voice driven digital assistants, it’s unlikely to redefine how we interact with technology, but every other way I set a short timer has been obsoleted at this point, and I’m betting that auto complete having insight into what your writing will just be the norm going forward.
HawlSera@lemm.ee 11 months ago
It’s just a Chinese room dude, it doesn’t actually do anything useful
Tranus@programming.dev 11 months ago
The Chinese room argument doesn’t have anything to do with usefulness. Its about whether or not a computer that passes the turing test is conscious. Besides, the argument is a ridiculous one to begin with. It assumes that if a subcomponent of a system (ie the human) lacks “understanding”, then the system itself (the human + the room + the program) lacks understanding.
ricecake@sh.itjust.works 11 months ago
Anything else aside, I wouldn’t be so critical of the thought experiment. It’s from 1980 and was intended as an argument against the thought that symbolic manipulation is all that’s required for a computer to have understanding of language.
It being a thought experiment that examines where understanding originates in a system that’s been given serious reply and discussion for 43 years makes me feel like it’s not ridiculous.
plato.stanford.edu/entries/chinese-room/#LargPhil…
ricecake@sh.itjust.works 11 months ago
What?
At best you’re arguing that because it’s not conscious it’s not useful, which… No.
My car isn’t conscious and it’s perfectly useful.
A system that can analyze patterns and either identify instances of the pattern or extrapolate on the pattern is extremely useful. It’s the “hard but boring” part of a lot of human endeavors.
We’re gonna see it wane as a key marketing point at some point, but it’s been in use for years and it’s gonna keep being in use for a while.
aesthelete@lemmy.world 11 months ago
I agree with most of what you’re saying here, but just wanted to add that another really hard part of a lot of human endeavors is actual prediction, which none of these things (despite their names) actually do.
These technologies are fine for figuring out that you often by avocados when you buy tortillas, but they were utter shit at predicting anything about, for instance, pandemic supply chains…and I think that’s at least partially because they expect (given the input data and the techniques that drive them) the future to be very similar to the past. Which holds ok, until it very much doesn’t anymore.
SCB@lemmy.world 11 months ago
You not having a job where you work at a level to see how useful AI is just means you don’t have a terribly important job.
aesthelete@lemmy.world 11 months ago
What an brain drained asshole take to have. But I’ve seen your name before in my replies and it makes sense that you’d have it.
AI is useful for filling out quarterly goal statements at my job, and boy are those terribly important… 😆