3 ms·
Hey, thank you for this answer, I enjoyed reading it and think about what you are telling. >A truly unbiased person will flip his opinion in an instant when gi
by psychoslave 4y ago
Hey, thank you for this answer, I enjoyed reading it and think about what you are telling.
>A truly unbiased person will flip his opinion in an instant when given contrary logic and facts. He will abandon years of belief instantly if new logic presents that his beliefs were wrong. Are you that person? Doubt it. Humans don't work this way.
We fully agree on that, it seems. :)
>The way chatGPT understands some parts of the world is completely isomorphic to how we colloquially use the word "understanding".
Here too, I am open to agree if we precise which colloquial part of using this word we are referring to. It’s not like we always attach the same exact meaning to each word we use in whatever situation. Some words like deictics or even nouns like "thing" are only given meaningfulness in the situation at hand.
>what chatGPT is capable of.
I thing that is the point where our perspective diverge. I’m not disputing what a software collection is capable of. Only what it implies in term of consciousness experiment. Telling that some software can exceed any human at delivering some outputs doesn’t seem to be a topic that anyone dispute, does it? It doesn’t mean the software collection goes through the same mean of sentience to achieve this performance.
You can send me the links that worth a read according to you, thanks. :)
Now I just hope I’m not replying to a chatbot. :D
- kilgnad 4y ago- GPT style language models try to build a model of the world: https://arxiv.org/abs/2210.13382 https://arxiv.org/abs/2210.13382 - GPT style language models end up internally implementing a mini "neural network training algorithm" (gradient descent fine-tuning for given examples): https://arxiv.org/abs/2212.10559 https://arxiv.org/abs/2212.10559