On Tue, May 23, 2023 at 12:14 AM Stathis Papaioannou <[email protected]>
wrote:

>
>
> On Tue, 23 May 2023 at 13:37, Terren Suydam <[email protected]>
> wrote:
>
>>
>>
>> On Mon, May 22, 2023 at 11:13 PM Stathis Papaioannou <[email protected]>
>> wrote:
>>
>>>
>>>
>>> On Tue, 23 May 2023 at 10:48, Terren Suydam <[email protected]>
>>> wrote:
>>>
>>>>
>>>>
>>>> On Mon, May 22, 2023 at 8:42 PM Stathis Papaioannou <[email protected]>
>>>> wrote:
>>>>
>>>>>
>>>>>
>>>>> On Tue, 23 May 2023 at 10:03, Terren Suydam <[email protected]>
>>>>> wrote:
>>>>>
>>>>>>
>>>>>> it is true that my brain has been trained on a large amount of data -
>>>>>> data that contains intelligence outside of my own. But when I 
>>>>>> introspect, I
>>>>>> notice that my understanding of things is ultimately rooted/grounded in 
>>>>>> my
>>>>>> phenomenal experience. Ultimately, everything we know, we know either by
>>>>>> our experience, or by analogy to experiences we've had. This is in
>>>>>> opposition to how LLMs train on data, which is strictly about how
>>>>>> words/symbols relate to one another.
>>>>>>
>>>>>
>>>>> The functionalist position is that phenomenal experience supervenes on
>>>>> behaviour, such that if the behaviour is replicated (same output for same
>>>>> input) the phenomenal experience will also be replicated. This is what
>>>>> philosophers like Searle (and many laypeople) can’t stomach.
>>>>>
>>>>
>>>> I think the kind of phenomenal supervenience you're talking about is
>>>> typically asserted for behavior at the level of the neuron, not the level
>>>> of the whole agent. Is that what you're saying?  That chatGPT must be
>>>> having a phenomenal experience if it talks like a human?   If so, that is
>>>> stretching the explanatory domain of functionalism past its breaking point.
>>>>
>>>
>>> The best justification for functionalism is David Chalmers' "Fading
>>> Qualia" argument. The paper considers replacing neurons with functionally
>>> equivalent silicon chips, but it could be generalised to replacing any part
>>> of the brain with a functionally equivalent black box, the whole brain, the
>>> whole person.
>>>
>>
>> You're saying that an algorithm that provably does not have experiences
>> of rabbits and lollipops - but can still talk about them in a way that's
>> indistinguishable from a human - essentially has the same phenomenology as
>> a human talking about rabbits and lollipops. That's just absurd on its
>> face. You're essentially hand-waving away the grounding problem. Is that
>> your position? That symbols don't need to be grounded in any sort of
>> phenomenal experience?
>>
>
> It's not just talking about them in a way that is indistinguishable from a
> human, in order to have human-like consciousness the entire I/O behaviour
> of the human would need to be replicated. But in principle, I don't see why
> a LLM could not have some other type of phenomenal experience. And I don't
> think the grounding problem is a problem: I was never grounded in anything,
> I just grew up associating one symbol with another symbol, it's symbols all
> the way down.
>

Is the smell of your grandmother's kitchen a symbol?


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