XAI is over and out (Re: Vectors are the new JSON)

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Sujet : XAI is over and out (Re: Vectors are the new JSON)
De : janburse (at) *nospam* fastmail.fm (Mild Shock)
Groupes : sci.physics
Date : 10. Jan 2025, 12:06:25
Autres entêtes
Message-ID : <vlquvg$2epvu$2@solani.org>
References : 1 2 3
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Hi,
Another example of total nonsense:
CfR: Vienna World Logic Day Lecture
Joao Marques-Silva on Trustable Explainable AI
14 Jan 2025, Online [WLD Event]
https://resources.illc.uva.nl/LogicList/newsitem.php?id=12030
The abstract is out of date.  XAI was a problem a
few years ago.  But it has nothing to do with ChatGPT.
Because ChatGPT is not the machine learning that XAI
is trying to fix. The fuzzy logic in ChatGPT has nothing
to do with deep learning and latent parameters.
ChatGPT throws everything back to natural language and data.
Virtually no invented latent parameter. There are no
ontologies with top and bottom in the vectors.  They are
quite flat attribute structures that not only control
words, but also sentences and polysemy.  See also:
Sentence embedding
https://en.wikipedia.org/wiki/Sentence_embedding
This means that the academic world is completely
overwhelmed.  And now stare in mental shock.  Don't
notice that "traditions" like XAI are already out of date.
Mit freundlichen Grüssen
P.S.: Here's the abstract, it's complete nonsense:
Abstract:
Explainable artificial intelligence (XAI) is a mainstay of
trustworthy AI.  Recent years have witnessed massive efforts
towards delivering some sort of XAI solutions. Most of these
efforts are based on non-symbolic methods, an d invariably will
produce erroneous results. As a result, even if the predictions of
a machine learning model could be trusted, the lack of reliable
explanations will also make those predictions unworthy of trust.
This talk provides a brief glimpse of the emerging field of logic-based
explainable AI, a rigorous alternative to the still widely-used but
extremely problematic non-symbolic methods.
https://resources.illc.uva.nl/LogicList/newsitem.php?id=12030
Mild Shock schrieb:
Hi,
 I have switched to use the term "Fuzzy Logic", since
Probability and/or Bayes is surely misleading.
"Fuzzy Logic" is quite old:
 In 1965, in his essay Fuzzy Sets[5] - which had been
cited more than 70,000 times by mid-2017 - he first
presented his concept of a theory of fuzzy sets, which
became the nucleus and basis of the rapidly developing
fuzzy logic - (content: The Logic of Uncertainty  )
https://de.wikipedia.org/wiki/Lotfi_Zadeh#Leistungen
 This is also quite intersting, but PostgreSQL is not
the only database management system, that provides
such retrieval extensions:
 Vectors are the new JSON
https://www.postgresql.eu/events/pgconfeu2023/sessions/session/4592/slides/435/pgconfeu2023_vectors.pdf   Bye
 Mild Shock schrieb:
Hi,
>
Prologers with their pipe dream of Ontologies
with Axioms are most hurt by LLMs that work
more on the basis of Fuzzy Logic.
>
Even good old "hardmath" is not immune to
this coping mechanism:
>
"I've cast one of my rare votes-to-delete. It is
a self-answer to the OP's off-topic "question".
Rather than improve the original post, the effort
has been made to "promote" some so-called RETRO
Project by linking YouTube and arxiv.org URLs.
Not worth retaining IMHO.
-- hardmath
>
https://math.meta.stackexchange.com/a/38051/1482376
>
Bye
>
Mild Shock schrieb:
Hi,
>
More details on RAG, see here RETRO Project (*) at t=12:01:
>
What's wrong with LLMs and what we should be building instead
Tom Dietterich - 10.07.2023
https://youtu.be/cEyHsMzbZBs
>
So its not a very new technique now appearing in
generative AIs on the market as well. Some chat bots
are even now able to sometimes show more clearly the
>
used source documents in their answer. The MSE end
user can still edit a citation by hand to conform
more to the SEN format, if this would be the issue.
>
Also the MSE end user can explicitly now ask a chat
bot for sources, which he will get most of the time.
Or he can give a chat bot a source for review and
>
discussion. This works also. So there is not anymore
this "remoteness" of an LLM to the actual virtual
world of documents. Its more that they now inhabit the
>
actual virtual world and interact with it. Another issue
I see is that in certain countries and educational
institutions, it might the case that working with a
>
chat bot is something that the students learn,
yet they are not officially allowed to use it on
MSE, because MSE policies are based on outdated
>
views about generative AI.
>
See also:
>
(*) RETRO Project:
>
Improving language models by retrieving from trillions of tokens
Sebastian Borgeaud et al. - 7 Feb 2022
https://arxiv.org/abs/2112.04426
>
Bye
>
Mild Shock schrieb:
Hi,
>
Now you can listen to Bird songs for a minute:
>
2016 Dana Scott gave a talk honoring Raymond Smullyan
https://www.youtube.com/watch?v=omz6SbUpFQ8
>
A little quiz:
>
Q: And also on the Curry-Howard Isomorphism. Is
there a nice way to put it in bird-forest form like To
Mock a Mocking Bird. This book made everything so
simple and intuitive for me.
>
A: Hardly, because xx has no simple type.
>
Right?
>
Bye
>
>
 

Date Sujet#  Auteur
10 Jan 25 * Prologers are hurt the most by LLMs (Was: RETRO Project Sebastian Borgeaud et al. - 7 Feb 2022)6Mild Shock
10 Jan 25 +* XAI is over and out (Re: Vectors are the new JSON)2Mild Shock
19 Jan 25 i`- Re: Academia is retarded (Re: XAI is over and out)1Physfitfreak
16 Jan 25 `* Re: Vectors are the new JSON (Re: Prologers are hurt the most by LLMs)3Physfitfreak
16 Jan 25  `* Re: Vectors are the new JSON (Re: Prologers are hurt the most by LLMs)2Physfitfreak
16 Jan 25   `- Re: Vectors are the new JSON (Re: Prologers are hurt the most by LLMs)1Physfitfreak

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