[ExI] LLM's cannot be concious

[Adrian Tymes]

On Thu, Mar 23, 2023 at 11:59 AM Jason Resch via extropy-chat <
extropy-chat at lists.extropy.org> wrote:

> On Thu, Mar 23, 2023, 2:37 PM Adrian Tymes via extropy-chat <
> extropy-chat at lists.extropy.org> wrote:
>
>> On Thu, Mar 23, 2023 at 11:09 AM Jason Resch <jasonresch at gmail.com>
>> wrote:
>>
>>> Take all the neural impulses from the sense organs a human brain
>>> receives from birth to age 25 as a huge list of tuples in the format:
>>> (neuron id, time-stamp). This is ultimately just a list of numbers. But
>>> present in these numbers exists the capacity for a brain to learn and know
>>> everything a 25-year-old comes to learn and know about the world. If a
>>> human brain can do this from this kind of raw, untagged, "referentless"
>>> data alone, then why can't a machine?
>>>
>>
>> "A machine" can, if it is the right kind of machine.
>>
>
> Then you would agree with me that patterns and correlations alone within
> an unlabeled dataset are sufficient to bootstrap meaning and understanding
> for a sufficient intelligence?
>

Again: the error comes in categorizing which kind of "sufficient
intelligence".\

Just because one type of AI could do a task does not mean that all AIs are
capable of that task.  You keep invoking the general case, where an AI that
is capable is part of a superset, then wondering why there is disagreement
about a specific case, discussing a more limited subset that only contains
other AIs.


> A pure LLM like the ones we have been discussing is not the right kind of
>> machine.
>>
>
> That's an assertion but you do not offer a justification. Why is a LLM not
> the right kind of machine and what kind of machine is needed?
>

As posted previously, the right kind of machine might incorporate a LLM,
but not consist only of a LLM (in other words, be a "pure LLM").  More
capabilities than just a LLM are necessary.
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