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<div class="moz-cite-prefix">On 16/04/2023 05:07, Gordon Swobe
wrote:<br>
</div>
<blockquote type="cite"
cite="mid:mailman.416.1681618076.847.extropy-chat@lists.extropy.org">On
Sat, Apr 15, 2023 at 2:17 AM Ben Zaiboc via extropy-chat <<a
href="mailto:extropy-chat@lists.extropy.org"
moz-do-not-send="true" class="moz-txt-link-freetext">extropy-chat@lists.extropy.org</a>>
wrote:<br>
><br>
> I have a suggestion.<br>
><br>
> Instead of 'ground', try using the word 'associate'. That
seems to me<br>
> more useful. <br>
<br>
I think word-symbol association is another word for exactly what
it does so well! GPT-4 does word association so <b>amazingly</b>
well and so thoroughly over such a broad range of subjects that we
are deceived into thinking it has solved the symbol grounding
problem for itself even despite its denial of having solved it.
Add to that amazing word-association functionality a bit of
randomness, (a parameter which can be controlled by the end user),
and now we have what looks a lot like creativity. It is an amazing
feat of software engineering and credit should go to the
engineers, not the application.</blockquote>
<br>
<br>
Hmm, let me try re-writing that, using my suggestion:<br>
<br>
"I think word-symbol association is another word for exactly what it
does so well! GPT-4 does word association so <b>amazingly</b> well
and so thoroughly over such a broad range of subjects that we are
deceived into thinking it has solved the word-symbol association
problem ..."<br>
<br>
There, much better.<br>
<br>
Now, I strongly suspect you're going to say "No no, grounding and
association are different things!", so if you'd be so good as to
explain to us exactly what the difference is, and why my suggestion
won't work, taking into account that associations between neural
signals is the only kind of information-processing that brains can
do (and if you disagree with <i>that</i>, please give your evidence
that it's not true), we might make some progress.<br>
<br>
Ben<br>
<br>
<br>
<br>
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