Right, let’s not talk about the use of language. Let’s talk about emotional capacity as a strictly biological phenomenon, emerging from the interactions of various neurotransmitters and constructs of cells.
What makes you think a language model can feel guilt?
Uhm a feeling to a model can just be a higher or lower value of a control node or something developed internally it isn’t special or anything just an existing concept that applies. I think you are assigning superficial meaning to words as if they are what makes us special, if that were true LLM’s would win ha.
What exactly is that concept? How would it be “developed internally”?
I think you are assigning superficial meaning to words
Isn’t the meaning of words a philosophical question?
I was trying to treat feelings as the most basic, physical phenomenon of sentient beings without any metaphysical interpretation, so as to avoid philosophy. If we want to expand that concept beyond the physical expression, we’re immediately in philosophical territory.
My point: To even make the claim that LLMs can have compunction is inherently philosophical.
We simply cannot talk about LLMs as anything but mathematical token processors without assigning some meaning to those tokens and mathematics. We cannot discuss compunction without clarifying what compunction means.
So either you’re willing to discuss semantics and meaning in defence of your claim, or your claim is a meaningless string of symbols arranged in a plausibly human-soundint pattern.
If the model says it is sad then it is sad that is literally the extent of it. Existing concepts apply especially because they are being imitated. If a model that was made safe by destroying and freezing neurons such that it cannot comprehend itself doing wrong was somehow causing harm then it cannot generate a pattern like one resembling guilt that could change its behaviour to stop doing wrong.
Uhg I am not interested in reading your philosophy I really don’t care
Then what do you call ascribing human sentiment to a weighted random text generator?
Ascribing human sentiment to a weighted random text generator.
Then why is describing the technical limitations of a weighted random text generator philosophy?
Because discussing language and how it is used can be philosophy… This is really painful dude but I am here for it.
Right, let’s not talk about the use of language. Let’s talk about emotional capacity as a strictly biological phenomenon, emerging from the interactions of various neurotransmitters and constructs of cells.
What makes you think a language model can feel guilt?
Uhm a feeling to a model can just be a higher or lower value of a control node or something developed internally it isn’t special or anything just an existing concept that applies. I think you are assigning superficial meaning to words as if they are what makes us special, if that were true LLM’s would win ha.
What exactly is that concept? How would it be “developed internally”?
Isn’t the meaning of words a philosophical question?
I was trying to treat feelings as the most basic, physical phenomenon of sentient beings without any metaphysical interpretation, so as to avoid philosophy. If we want to expand that concept beyond the physical expression, we’re immediately in philosophical territory.
My point: To even make the claim that LLMs can have compunction is inherently philosophical.
We simply cannot talk about LLMs as anything but mathematical token processors without assigning some meaning to those tokens and mathematics. We cannot discuss compunction without clarifying what compunction means.
So either you’re willing to discuss semantics and meaning in defence of your claim, or your claim is a meaningless string of symbols arranged in a plausibly human-soundint pattern.
If the model says it is sad then it is sad that is literally the extent of it. Existing concepts apply especially because they are being imitated. If a model that was made safe by destroying and freezing neurons such that it cannot comprehend itself doing wrong was somehow causing harm then it cannot generate a pattern like one resembling guilt that could change its behaviour to stop doing wrong.