We can argue about it’s nuances. same with the Chinese room thought experiment.
However, we can’t deny that it the Turing test, is no longer a thought exercise but a real test that can be passed under parameters most people would consider fair.
I thought a computer passing the Turing test would have more fanfare, about the morality if that problem, because the usual conclusion of that thought experiment was “if you cant tell the difference, is there one?”, but now it has become “Shove it everywhere!!!”.
yhea, and “everything is a nail if all you got is a hammer”.
there are some uses for that kind of AI, but very limiting. less robotic voice assisants, content moderation, data analysis, quantification of text. the closest thing to Generative use should be to improve auto complete and spell checking (maybe, I’m still not sure on those ones)
Well right now I have autocorrect changing real words for jumbles of letters due to years of myself working with acronyms and autocomplete changing words like both to bitch, for to fuck, etc. due to systems changing less used words for more used words (making the issue worse).
on top of that, an LLM can check if the sentence makes sense.
like in the previous post, where I accidentally started with “I’m theory” because I use Swype typing and using an LLM to predict the following tokens for the keyboard to know what I likely trying to say.
We can argue about it’s nuances. same with the Chinese room thought experiment.
However, we can’t deny that it the Turing test, is no longer a thought exercise but a real test that can be passed under parameters most people would consider fair.
I thought a computer passing the Turing test would have more fanfare, about the morality if that problem, because the usual conclusion of that thought experiment was “if you cant tell the difference, is there one?”, but now it has become “Shove it everywhere!!!”.
Oh, I just realized that the whole ai bubble is just the whole “everything is a dildo if you are brave enough.”
yhea, and “everything is a nail if all you got is a hammer”.
there are some uses for that kind of AI, but very limiting. less robotic voice assisants, content moderation, data analysis, quantification of text. the closest thing to Generative use should be to improve auto complete and spell checking (maybe, I’m still not sure on those ones)
I was wondering how they could make autocomplete worse, and now I know.
In theory, I can imagine an LLM fine tuned on whatever you type. which might be slightly better then the current ones.
emphasis on the might.
Well right now I have autocorrect changing real words for jumbles of letters due to years of myself working with acronyms and autocomplete changing words like both to bitch, for to fuck, etc. due to systems changing less used words for more used words (making the issue worse).
on top of that, an LLM can check if the sentence makes sense.
like in the previous post, where I accidentally started with “I’m theory” because I use Swype typing and using an LLM to predict the following tokens for the keyboard to know what I likely trying to say.