4 ms·

There's no example cue cards of itself. In, the ending of that article, chatGPT curled the internet from the virtual machine. It specifically curled the chatGPT

There's no example cue cards of itself. In, the ending of that article, chatGPT curled the internet from the virtual machine. It specifically curled the chatGPT api and talked to itself. Then it asked itself to create another virtual machine, and the virtual chatGPT on the virtual internet on the virtual machine created another virtual machine.... The end... It's not actually creating any of these things. It's imitating these things indicating it Understands what it is. It imitated itself. Indicating an awareness of self. aka self awareness.

anonymouskimmer 4y ago
> "It imitated itself. Indicating an awareness of self. aka self awareness." The mirror test is a stronger indicator of self-awareness than imitation of a like entity.
- kilgnad 4y ago
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threeseed 4y ago
> It imitated itself. Indicating an awareness of self. aka self awareness. We create algorithms all the time that can identify and imitate other algorithms. That doesn't make them self aware in the normal use of the term.
- kilgnad 4y ago
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- gtirloni 4y ago
  I can't reply to the OP because it's banned or something but their lack of understanding about this area actually makes me think someone is using ChatGPT to troll this thread with confident sounding BS.
  - kilgnad 4y ago
    It's not a ban. On HN they recently put a thread limit on depth. Either way your post is rude.i have a contrary opinion can I not express it without being accused of trolling? I assure you I am not. If anything, the majority shares there opinion with you. They are generic and harping on the same tired tropes of llms being just statistical text completion machines without ever remarking about the obvious black box nature of neural nets. It's more likely the majority and generic opinions that you all share are the ones trolling with chatGPT. In fact ask chatGPT about the topic. Are you self aware? And it will give you the same generic opinion you and everyone else on this thread. If you're right about chatgpt being a statistical parrot, then ironically my opinion is more likely to NOT be generated by an LLM given how contrary it is to the majority opinion (aka training data).
    - gtirloni 4y ago
      > Either way your post is rude.i have a contrary opinion can I not express it without being accused of trolling? I assure you I am not. I vouched for several of your dead posts. > Are you self aware? And it will give you the same generic opinion you and everyone else on this thread Exactly, there is no understanding.
      - kilgnad 4y ago
        >Exactly, there is no understanding. A generic opinion doesn't mean it doesn't understand. Think about it. It means it's either giving us the most statistically likely text completion OR it actually has a generic understanding and a generic opinion on the post. It doesn't bend the needle either way. >I vouched for several of your dead posts. Thank you. Again, I assure you none of my posts are trolls.
IncRnd 4y ago
ChatGPT doesn't understand. Consider that two exactly identical runs will generate different results. We can use this to explore understanding. To start, make chatgpt do something that you would believe would take understanding. For example, make it run linux like at this link. https://medium.com/@neonforge/i-knew-it-chatgpt-has-access-to-internet-linux-terminal-simulator-is-the-proof-2d6c9476bd99 https://medium.com/@neonforge/i-knew-it-chatgpt-has-access-t... Now, after you run the first command, chatgpt will sometimes run one kernel version and sometimes another (according to uname -a). Sometimes there will be network access, and sometimes there won't. You can even trick chatgpt into believing there is internet access, after which other "cue card" contents will be returned. There really isn't any understanding. The responses are equivalent to googling the internet, where sometimes people get articles about how to run ls on ubuntu and sometimes get articles about how to run ls on redhat. You can even cause chatgpt to prune after a portion of the conversation, after which completely different responses get generated. It's not understanding but may contain more entropy than many people's passwords...
- kilgnad 4y ago
  [dead]
jodrellblank 4y ago
In your dead reply you say "Inconsistent and wrong answers does not negate the fact that it understands you.". If you ask a schoolkid to multiply 5x5 and they say 25 and then you ask them to multiply 300x10 and they say 310 you don't say "they understand multiplication and wrong or inconsistent answers can't convince me otherwise", you say "they memorised the twelve times table but don't understand multiplication". The other way that you say doesn't exist is the way it actually was built to work - it's trained to find repeated text patterns in its training data, and then substitute in other text into them using them as templates. Yes there is no Google result for "Bash script to put jokes in a file" but there are patterns of jokes, patterns of Bash scripts putting text into file and examples of filesystem behaviour. That it can identify those patterns and substitute them inside each other is what makes it work. You say "ping bbc.co.uk" it says "ping reply NN milliseconds where NN=14" because there are many blog posts showing many examples of pings to different addresses and it can pull out what's consistent between them and what changes. You say "{common prime number code}" it replies "{prime numbers}". Ask it to "write an APL program to split a string" and it says "{complete nonsense}"[1] because there aren't enough examples for it to have any idea what to do, and suddenly it's clear that it isn't understanding - it doesn't understand the goal of splitting a string or whether it's achieved the goal, it doesn't understand the APL functions and how they fit together so that it can solve for the goal, it can't emulate an APL interpreter and try things until it gets closer to its goal even though it has enough computing power that it potentially could, it can't pause for thought or ask someone else for help, it can't apologise for not knowing enough about APL to be able to answer because it doesn't know that it doesn't know. Your 17th Century man also couldn't write an APL line to split a string, but he would shrug his shoulders and say "sorry, can't help you". The internet it was trained on has a lot of Python/Docker/Prime numbers/Linux shell basics and a lot of Wikipedia / SEO blogspam because they are written about millions of times over, and they contain much less about APL. Pareidolia is the effect where humans see two blobs and a line and 'see' a face. People see a bag with buckles and folded cloth looks like a scowling face, our mirror neurons project a mind into the bag and we feel "the bag's feelings" and say the bag is angry, and laugh because it's a silly idea. When ChatGPT parrots some text which looks correct, we project an intelligence behind the text, when it parrots some text which is wrong we excuse it and forgive it, because that's what we do with other humans. A human who speaks Spanish from a phrasebook is stumped as soon as the conversation deviates from the book. Even if they have excellent pronounciation. A human who understands Spanish isn't. ChatGPT is a very big phrasebook. [1] https://i.imgur.com/7z4LB9W.png https://i.imgur.com/7z4LB9W.png - plausible at a glance, the APL comment character is used correctly, so is variable assignment. But you can't split a string using catenate (,) and replicate-down (⌿) it has effectively done a Google search for APL and randomly shuffled the resulting words and glyphs into a programming style example. What the code does is throw a DOMAIN ERROR. You can say "there is understanding but it made a mistake", but it's the kind of mistake that makes me say "there is no understanding".

anonymouskimmer 4y ago

> "It imitated itself. Indicating an awareness of self. aka self awareness." The mirror test is a stronger indicator of self-awareness than imitation of a like entity.

kilgnad 4y ago
[dead]

threeseed 4y ago

> It imitated itself. Indicating an awareness of self. aka self awareness. We create algorithms all the time that can identify and imitate other algorithms. That doesn't make them self aware in the normal use of the term.

kilgnad 4y ago
[dead]
gtirloni 4y ago
I can't reply to the OP because it's banned or something but their lack of understanding about this area actually makes me think someone is using ChatGPT to troll this thread with confident sounding BS.
- kilgnad 4y ago
  It's not a ban. On HN they recently put a thread limit on depth. Either way your post is rude.i have a contrary opinion can I not express it without being accused of trolling? I assure you I am not. If anything, the majority shares there opinion with you. They are generic and harping on the same tired tropes of llms being just statistical text completion machines without ever remarking about the obvious black box nature of neural nets. It's more likely the majority and generic opinions that you all share are the ones trolling with chatGPT. In fact ask chatGPT about the topic. Are you self aware? And it will give you the same generic opinion you and everyone else on this thread. If you're right about chatgpt being a statistical parrot, then ironically my opinion is more likely to NOT be generated by an LLM given how contrary it is to the majority opinion (aka training data).
  - gtirloni 4y ago
    > Either way your post is rude.i have a contrary opinion can I not express it without being accused of trolling? I assure you I am not. I vouched for several of your dead posts. > Are you self aware? And it will give you the same generic opinion you and everyone else on this thread Exactly, there is no understanding.
    - kilgnad 4y ago
      >Exactly, there is no understanding. A generic opinion doesn't mean it doesn't understand. Think about it. It means it's either giving us the most statistically likely text completion OR it actually has a generic understanding and a generic opinion on the post. It doesn't bend the needle either way. >I vouched for several of your dead posts. Thank you. Again, I assure you none of my posts are trolls.

IncRnd 4y ago

ChatGPT doesn't understand. Consider that two exactly identical runs will generate different results. We can use this to explore understanding. To start, make chatgpt do something that you would believe would take understanding. For example, make it run linux like at this link. https://medium.com/@neonforge/i-knew-it-chatgpt-has-access-to-internet-linux-terminal-simulator-is-the-proof-2d6c9476bd99 https://medium.com/@neonforge/i-knew-it-chatgpt-has-access-t... Now, after you run the first command, chatgpt will sometimes run one kernel version and sometimes another (according to uname -a). Sometimes there will be network access, and sometimes there won't. You can even trick chatgpt into believing there is internet access, after which other "cue card" contents will be returned. There really isn't any understanding. The responses are equivalent to googling the internet, where sometimes people get articles about how to run ls on ubuntu and sometimes get articles about how to run ls on redhat. You can even cause chatgpt to prune after a portion of the conversation, after which completely different responses get generated. It's not understanding but may contain more entropy than many people's passwords...

kilgnad 4y ago
[dead]

jodrellblank 4y ago

In your dead reply you say "Inconsistent and wrong answers does not negate the fact that it understands you.". If you ask a schoolkid to multiply 5x5 and they say 25 and then you ask them to multiply 300x10 and they say 310 you don't say "they understand multiplication and wrong or inconsistent answers can't convince me otherwise", you say "they memorised the twelve times table but don't understand multiplication". The other way that you say doesn't exist is the way it actually was built to work - it's trained to find repeated text patterns in its training data, and then substitute in other text into them using them as templates. Yes there is no Google result for "Bash script to put jokes in a file" but there are patterns of jokes, patterns of Bash scripts putting text into file and examples of filesystem behaviour. That it can identify those patterns and substitute them inside each other is what makes it work. You say "ping bbc.co.uk" it says "ping reply NN milliseconds where NN=14" because there are many blog posts showing many examples of pings to different addresses and it can pull out what's consistent between them and what changes. You say "{common prime number code}" it replies "{prime numbers}". Ask it to "write an APL program to split a string" and it says "{complete nonsense}"[1] because there aren't enough examples for it to have any idea what to do, and suddenly it's clear that it isn't understanding - it doesn't understand the goal of splitting a string or whether it's achieved the goal, it doesn't understand the APL functions and how they fit together so that it can solve for the goal, it can't emulate an APL interpreter and try things until it gets closer to its goal even though it has enough computing power that it potentially could, it can't pause for thought or ask someone else for help, it can't apologise for not knowing enough about APL to be able to answer because it doesn't know that it doesn't know. Your 17th Century man also couldn't write an APL line to split a string, but he would shrug his shoulders and say "sorry, can't help you". The internet it was trained on has a lot of Python/Docker/Prime numbers/Linux shell basics and a lot of Wikipedia / SEO blogspam because they are written about millions of times over, and they contain much less about APL. Pareidolia is the effect where humans see two blobs and a line and 'see' a face. People see a bag with buckles and folded cloth looks like a scowling face, our mirror neurons project a mind into the bag and we feel "the bag's feelings" and say the bag is angry, and laugh because it's a silly idea. When ChatGPT parrots some text which looks correct, we project an intelligence behind the text, when it parrots some text which is wrong we excuse it and forgive it, because that's what we do with other humans. A human who speaks Spanish from a phrasebook is stumped as soon as the conversation deviates from the book. Even if they have excellent pronounciation. A human who understands Spanish isn't. ChatGPT is a very big phrasebook. [1] https://i.imgur.com/7z4LB9W.png https://i.imgur.com/7z4LB9W.png - plausible at a glance, the APL comment character is used correctly, so is variable assignment. But you can't split a string using catenate (,) and replicate-down (⌿) it has effectively done a Google search for APL and randomly shuffled the resulting words and glyphs into a programming style example. What the code does is throw a DOMAIN ERROR. You can say "there is understanding but it made a mistake", but it's the kind of mistake that makes me say "there is no understanding".