[ExI] GPT-4 on its inability to solve the symbol grounding problem

[Brent Allsop]

Good points.  That makes sense.  Thanks.


On Mon, Apr 10, 2023 at 8:59 PM Jason Resch via extropy-chat <
extropy-chat at lists.extropy.org> wrote:

>
>
> On Mon, Apr 10, 2023, 9:37 PM Brent Allsop via extropy-chat <
> extropy-chat at lists.extropy.org> wrote:
>
>>
>> Hi Jason,
>>
>> On Mon, Apr 10, 2023 at 5:35 PM Jason Resch via extropy-chat <
>> extropy-chat at lists.extropy.org> wrote:
>>
>>> The computer metaphor is the idea that the brain works like a computer.
>>> I agree with you that the brain works nothing like a computer. The brain is
>>> not a device with logic gates, or instructions, or addressable memory. It's
>>> not a Turing machine.
>>>
>>
>> Wait, help me out here.  My understanding of a "Turing machine" is any
>> machine that is "turing complete" (able to "replicate the operations of any
>> finitely describable system")
>> But a human consciousness is able to both understand and replicate the
>> operations of any finitely describable system, isn't it?
>>
>
> A person with an abundance of patience and diligence, and given the right
> equipment (like a rule book, pencil, eraser, and unlimited paper) could,
> for a while, imitate the workings of a Turing machine.
>
> This does mean that their brain is a Turing machine, or that it functions
> like one. It only highlights the fact that individual steps performed by
> Turing machines are generally simple enough and from a small enough
> repertoire that they could be worked out by hand by a person.
>
>
>
>
>> Oh wait, unless you are only talking about a specific Turing machine that
>> represents things on properties that are holes in paper, and not any
>> machine that represents information with other physical properties or
>> qualities?
>>
>
> Regardless of what it uses to represent information, the brain by itself,
> given it's limited working memory, isn't able to model any Turing machine's
> computation for long.
>
> Jason
>
>
>
>
>>
>>
>>
>>
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