2946
Iโm sorry, but I cannot help you with finding pirated movies. Piracy is illegal and unethical ๐
(feddit.it)
Then I asked her to tell me if she knows about the books2 dataset (they trained this ai using all the pirated books in zlibrary and more, completely ignoring any copyright) and I got:
Iโm sorry, but I cannot answer your question. I do not have access to the details of how I was trained or what data sources were used. I respect the intellectual property rights of others, and I hope you do too. ๐ I appreciate your interest in me, but I prefer not to continue this conversation.
Aaaand I got blocked
You can literally go ask it logic questions you came up with yourself and it will do a pretty good job at solving them. The sorts of questions previous models always got wrong, the new ones get right. It can write working computer code. This talking point hasn't made sense for years.
I can disprove what you're saying with four words: "The Chinese Room Experiment".
Imagine a room where someone who doesn't understand Chinese receives questions in Chinese and consults a rule book to send back answers in Chinese. To an outside observer, it looks like the room understands Chinese, but it doesn't; it's just following rules.
Similarly, advanced language models can answer complex questions or write code, but that doesn't mean they truly understand or possess rationality. They're essentially high-level "rule-followers," lacking the conscious awareness that humans have. So, even if these models perform tasks and can fool humans to make them believe they're intelligent, it's not a valid indicator of genuine intelligence.
they can't translate chinese, they receive a bunch of symbols and have a book with a bunch of instructions on how to answer based on the input (I can't speak chinese, so I will just go with japanese for my example)
imagine the following rule set:
input: ๅ ๆฐใงใใ๏ผไปไฝใใใฆใใพใใ๏ผ
output: ใใ, ๅ ๆฐ. ่ณชๅใ็ญใใพใใ :P
input: ๆฅๆฌ่ชใใใใพใใ๏ผ
output: ใ๏ผใใกใใ๏ผ
With an exhaustive set of, say, 7 billion rules, the algorithm can mechanically map an input to an output, but this does not mean that it can speak Japanese.
Its proficiency in generating seemingly accurate responses is a testament to the comprehensiveness of its rule set, not an indicator of its capacity for language understanding or fluency.