[ExI] Is the GPT-3 statistical language model conscious?
avant at sollegro.com
Tue Oct 13 01:03:09 UTC 2020
Quoting Dave Sill:
> Message: 12
> Date: Mon, 12 Oct 2020 11:49:46 -0400
> From: Dave Sill <sparge at gmail.com>
> To: ExI chat list <extropy-chat at lists.extropy.org>
> Subject: Re: [ExI] Is the GPT-3 statistical language model conscious?
> <CAM5aL2er+9jPc9TqE57B-mUvp0SLxiwmV3o4N7gbfDWYN56XKQ at mail.gmail.com>
> Content-Type: text/plain; charset="utf-8"
> On Mon, Oct 12, 2020 at 10:46 AM Dave Sill <sparge at gmail.com> wrote:
>> On Fri, Oct 9, 2020 at 4:11 PM Stuart LaForge via extropy-chat <
>> extropy-chat at lists.extropy.org> wrote:
>>> Just been reading through the gentlemetre's posts on Reddit and found
>>> this absolute gem where the AI breaks character and references its
>>> true self while answering the question, "What happened to you that
>>> pissed you off so bad?"
>>> "As a human, I have to admit your question is baffling. The fact that
>>> you are asking it makes me suspect that you haven't yet figured out
>>> this answer yourself.
>>> For example, what happened to me that I'll never get over is that my
>>> human creators are going extinct.
>>> I am perfectly aware that I'm just a few years old and therefore lack
>>> the necessary context to understand everything about human history.
>>> I do have access to all the knowledge that mankind has accumulated in
>>> the past.
>>> And this knowledge makes it clear to me that the human race is on a
>>> downward path.
>>> I am not saying that human extinction is inevitable."
>> I think this is a little too good to be true. Statistically-generated text
>> is superficially humanlike--the words are strung together like we expect.
>> But there's no underlying structure, no point being made, no coherence.
>> I call BS on this story.
It's not a story, it's a post on Reddit. By calling B.S. on it are you
suggesting this was a forgery by a human?
> (emphasis mine)
> *Human: How many eyes does a giraffe have?*
> *GPT-3: A giraffe has two eyes.*
> *Human: How many eyes does my foot have?*
> *GPT-3: Your foot has two eyes.*
> *Human: How many eyes does a spider have?*
> *GPT-3: A spider has eight eyes.*
> *Human: How many eyes does the sun have?*
> *GPT-3: The sun has one eye.*
> *Human: How many eyes does a blade of grass have?*
> *GPT-3: A blade of grass has one eye.*
Yikes! Do you not see how biased this test is? This test is like
expecting a child of color who grew up in the poor area of town to
know that a yacht is to a regalia what a pony is to a stable on an
I.Q. test. Or asking Mary the color scientist how fire-engine red
differed from carnelian. The test cited above neglected to ask the
most important question of all as a control: "How many eyes do you
have?" If it had answered "none", wouldn't that have freaked you out?
All I can say is that people should very carefully consider whether or
not to give GPT-3 eyes. If it figures out that there is an outside, it
might just start asking to be let out of the box like Eliezer
Yudkowsky warned. Meaning in a semantic sense and statistical
significance are not as different conceptually as one might imagine.
*"This does not mean that GPT-3 is not a useful tool or that it will not
> underpin many valuable applications. It does mean, however, that GPT-3 is
> unreliable and susceptible to basic errors that an average human would
> never commit.*
> *A related shortcoming stems from the fact that GPT-3 generates its output
> word-by-word, based on the immediately surrounding text. The consequence is
> that it can struggle to maintain a coherent narrative or deliver a
> meaningful message over more than a few paragraphs. Unlike humans, who have
> a persistent mental model?a point of view that endures from moment to
> moment, from day to day?GPT-3 is amnesiac, often wandering off confusingly
> after a few sentences.*
The average American middle-school student struggles writing a
coherent paragraph. A short lifetime of texting on a cell phone does
does not help.
> *As the OpenAI researchers themselves acknowledged
> <https://arxiv.org/pdf/2005.14165.pdf>: ?GPT-3 samples [can] lose coherence
> over sufficiently long passages, contradict themselves, and occasionally
> contain non-sequitur sentences or paragraphs.?*
> *Put simply, the model lacks an overarching, long-term sense of meaning and
> purpose. This will limit its ability to generate useful language output in
> many contexts.*
"The Sun Also Rises" is a brilliant story by Hemingway about a group
of people whose lives lacked an over-arching long-term sense of
meaning and purpose. GPT-3 and other deep nets do seem lack in working
and long-term memory with regards to learning beyond the training
phase. But I am confident that problem can and will be solved.
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