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Info EDUARD 05/2023, Page 117
Info EDUARD 05/2023, Page 118
I ask all those who know the author to kindly
refrain from asking themselves the question
whether or not the following was written with
any form of intelligence at all. And for those
that can refrain from such a folly, the following
article is meant for you….
It has become very apparent that a lot of us are
asking the question how far will the IT technology
craze of artificial intelligence impact our hobby.
I don’t want to get into philosophical debates on
the theme of how close these things approach
actual intelligence with self-replicating
capability and self reliance and to what extent
they are ‘just’ sophisticated algorithms of data
neural networks with vast amounts of data
sources to draw from. Rather than that, I want
to reflect upon the outputs of AI and its potential
applications to us. In the current fashion boom,
many systems are called artificial intelligence,
which, although very advanced, are not actually
self-learning or self-improving systems.
The boundary, when it comes to ‘artificial
intelligence’ (or ‘artificial’ intelligence...
or artificial ‘intelligence’ - the attentive
reader will surely recognize the nuances of
these formulations) can probably best be
demonstrated by OCR, i.e. systems with the
ability to recognize writing from a source in
the form of an image. These systems have been
around for some time now, and most of the
more readily accessible ones are not, in reality,
actual AI. The more common, simpler ones lack
a substantial self-learning element. In order for
a system to be able to self improve and learn, it
needs feedback, where it is told ‘... but the letter
you read as Z is actually a slightly skewed 2’,
and the system takes that into account when
making decisions, and adapts when a similar
situation is subsequently encountered. Neural
data networks have been able to do such things
for many years, and many articles can be found
on the subject. And that can already be called
artificial intelligence, although ‘self-learning
system’ seems more adequate to me.
Still, I don't want to give the impression that
I am underestimating artificial intelligence.
Development is very rapid and I believe that
we will see things within its scope the likes of
which we can’t even fathom right now. As with
everything, however, I am somewhat skeptical
when it comes to hyped up headlines and
various impetuous statements. Nevertheless,
I can certainly imagine that AI systems will
gradually find their applications in a natural
way in production technologies that are used
in the design and production of models and
accessories.
Due to AI being in vogue, we often come across
attempts to create published articles with the
help of AI. Know that as far as I am concerned,
our articles will be written by real authors with
real knowledge, and historical facts or technical
data will come from our own sources, books,
archives, knowledge. This is the case with
most of what is, particularly in our historical
articles, printed in our monthly newsletter. They
are based on the author’s own research, often
the result of many years of work, information
gathered from many experts from all over the
world, and is not information that can simply be
extracted from Internet sources and compiled
using AI.
Of course, I can't rule out that one of our authors
will help themselves by having AI advise them
on better sentence formulation, a more graceful
word flow - which, after all, these systems can
do quite well. However, as far as this particular
article is concerned, if you find the style
acceptable and with a relatively graceful flow
to it, praise should not be showered on AI, but
rather on our proofreaders... :-)
I currently see three areas of AI (or advanced
IT) that can be used in plastic modeling that
I would like to outline with this article and
I will discuss them in the following paragraphs
(although surely some of you may come up with
other possible uses and for your feedback, we
will be grateful).
OCR (Optical Character Recognition)
The first area is the study and further processing
of historical documents. This is where OCR
is very useful, so I won't go into more detail
about it as mentioned above, but I will show an
example instead.
Excerpt from the combat report of Lt. Francis M.
Matney of the 55th FG, on 11/2/1944:
Here is the unaltered OCR rewrite:
I was flying Hellcat White 4 on Lt. Jowell's
wing at an altitude of 32,000 feet when 15 plus
Me109's and FW190's came in on the bombers
below us at 27,000 foot. We immediately dro'ped
our belly tanks and dove on them from r o'clock.
Lt. Jewell nicked out one Me109 and I stayed on
his wing. The E/A started a steep diving turn to
the left and ended in a vortical dive.
A few misinterpreted letters are obvious, but
after minor editing the text is very usable for
further processing. Advanced OCR systems can
deal with written text to a certain extent, but the
already mentioned self-learning element with
feedback from the user must be applied... and
you simply have to ‘get used to’ such a system
taking into account any given handwriting.
OpenAI/ChatGPT Type Text
Compilers
I don't want to knock these systems or
underestimate them. I am playing around
with ChatGPT myself, and I was really amazed
recently when I asked it for advice on, among
other things, an issue with radio navigation,
while preparing for theoretical PPL exams.
However, it should be noted that although the
sources from which it compiled and formulated
its outputs are very extensive, they do have
their limitations. Sometimes we are given some
pretty absurd answers, which this AI is able to
offer with staggering confidence.
I tentatively touched on one of my fundamental
topics – the air battle over the Ore Mountains
of September 11, 1944, with the question of why
this battle started. I wouldn't be surprised if
the system was not able to provide an answer.
Surprisingly (and misleading for the unaware),
the answer is wrong, but presented with a high
level of confidence:
The air battle over the Ore Mountains on
September 11, 1944, was a part of a larger
operation known as the ‘Schweinfurt-
Regensburg mission.’ The mission was an Allied
bombing campaign against German industrial
targets, specifically the factories producing ball
bearings, which were essential for the German
war effort.
Of course, the Schweinfurt/Regensburg mission
took place on August 17, 1943
On other examples, though, the system should
be congratulated, and I found it impossible to
mislead it.
Question: What was role of Adolf Galland on
liberation of Prague?
Answer: Adolf Galland did not have a role in the
liberation of Prague on May 9, 1945.
Galland was a German fighter pilot during World
War II and a high-ranking officer in the German
Luftwaffe. He was involved in many significant
battles and operations throughout the war,
including the Battle of Britain and the defense of
Germany against the Allied bombing campaigns.
However, by the time of the liberation of Prague,
Galland had been relieved of his command and
was under house arrest by the Nazi authorities
for his outspoken criticism of the leadership of
the Luftwaffe. Therefore, he was not involved
in any military operations during the final days
of the war in Europe, including the liberation of
Prague.
The insight to be gained is clear - similar
systems, whether we agree that they are
NOTE: THIS ARTICLE WAS NOT WRITTEN USING ARTIFICIAL INTELLIGENCE Text: Jan Zdiarský
INFO Eduard118
May 2023
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