new " for briefings on our activity.
In December of 2023, published paper on
machine learning: AI,
not solely machine learning.
In October of 2023, after much discussion,
Larry L. Walker and John M. Switlik of the Sperry
Univac Knowledge Systems Center (KSC)
have accumulated papers related to the work
of the KSC. During their analysis of ChatGPT
and other aspects of xNN/LLM, an
announcement is planned for establishing a
new mode of discussion and work.
Expected title: The True State of AI Tools in 2023 - Good, Bad, and Ugly ()
In November of 2022, OpenAI let loose
ChatGPT to the public. This was based upon
GPT3. There had been earlier reviewers, a
small set. But, not to a generally public
milieu. It's seminal for various reasons.
The reactions are across the board.
For us, it's a time to discuss truth
Here is our post and my opinion: ChatGPT.
not an official TGS opinion, it is mine.
And, I (JMS, starter, with Ann, of the
TGS, Inc.) need to give some overview.
Why? I have been decades doing advanced
work with computers where the focus was
involved in 'real' issues related to
application of these things. It has been a
long road that these types of programs
(meaning systems-level focus) and projects
have hoed. Some results have been
remarkable, say MRIs and other imaging, or
CAT/CAE/CAM (advance mathematics applied
to design and engineering), communications
(look at the 'cloud' for instance - but
with rose-colored glasses as that place is
a mess), scientific experiments (but the
issue of non-repeatability is there; and,
other issues; be aware that the
framework's strength will keep problems
from being obvious), medicine (too many to
note, however I will say that I was in
top-notch surgical environments back in
the '60s in the U.S. Army and saw the
state of the art then; to me, robotic
surgery is far from something that we
ought to trust), and much more.
Essentially, computing is everywhere. That
is why immature and irresponsible acts are
and ought to be concerning to anyone
thinking of the future and their progeny
of that time. Pollution is one analog such
as we got the EPA for. There are other
descriptions that I will do later. ...
Truth engineering is what the TGS is
trying to raise to focus. ... Disclosure:
my focus is not Comp Sci. No, it comes
from the underlying mathematical
frameworks that are being used. Necessary
care does not seem evident since a product
ought not be released until fully analyzed
with respect to several factors, one of
which is safety. The main issue? Allowing
API access which is hidden from view for
something that is not really a product,
nor has it any ability as expected by
most. Cute, but poisonous to our mental
health, might be one depiction of the
state of the thing.
Two papers from the past:
How Paradigms of Computing Might
Relate to KBE
Issues of AI
Truth Engineering (Tru'eng), the key to the
future. We are reorganizing this effort. For
now, a post from which we will make
announcements and a link to our principal
model for analysis and discussion.
Recent blog post: Overview
Prior: Page 2, Page 1
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Note: 01/04/2024 - we're in the process of
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