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Kiss this, Princess. Also see this creation on this page: House of High Spirits. |
Text
First, the text on my platform is mine. I don't use AI for that.
When it comes to text, there is nothing wrong with a little help with checking
spelling, punctuation, capitalization, and to some extent, grammar. It
isn't always accurate, but it can be very helpful. However, my text is
my own. It's my voice in print. I've always enjoyed writing, and
I've worked hard to write as well as I possibly can. It doesn't matter
what I'm writing about. What matters is that my writing is my voice and
authentic to me.
Where would something like AI actually be useful when it comes to text?
The proofreading and editing part I mentioned above can't be hurt by a little
AI assistance. People who struggle with spelling and grammar might
benefit from it when leaving comments online. If you need to write a
brief search description for a page on a website or blog like this one but
you're just not that kind of writer, a little AI can't hurt if it helps you to
write descriptions of your own. If you need something to throw you a
bone to come up with ideas based on what a search description should include,
having an AI assistant that can scan your content and give you ideas that are
relevant to that content, then a little AI assistance can't be too bad.
What I avoid is having AI write all of my text for me. Let me
also add that I prefer to write my own descriptions and will default to that
preference no matter what.
Tags
Meta tags and hash tags are an area where an AI assistant can do just that:
assist. SEO (Search Engine Optimization) and platforms in general
despise keyword stuffing with a passion and tend to rank content lower if they
"sense" keyword stuffing. Someone like me who tends to be very thorough
in all aspects of content online can be vulnerable to unintentionally using
too many keywords.
Oh, sorry. Keywords are basically like meta tags. They are used to
help search engines determine the content on a web page for indexing.
These are typically what HTML turns into meta tags. For example, my
oldest website is about Anne Rice's Mayfair Witches novels. Keywords
would be things like "Mayfair Witches", "Anne Rice", etc. Well, without
the quotation marks. Website code puts these into an HTML meta tag that
specifies these are part of the site description.
Hashtags would be #mayfairwitches or #annerice. These tags are typically
for social media like YouTube, Facebook, Instagram and other platforms.
YouTube is itself a search engine as well as a social media platform, but
sites like Facebook and Instagram have their own ways of indexing
content. Hashtags are a part of that.
FYI: on platforms like YouTube, there is another type of tagging, which is
usually referred to as"mentions". These tags begin with a @
symbol. These are the type of tags that are considered a form of making
contact with the individual or site/channel/profile you are tagging.
These are the tags to be especially careful about overusing for many
reasons. Spam tagging, unwanted contact, and other disturbing ways to
show a lack of social etiquette.
Back in 2008, this whole business of keywords and tags was mystifying to
me. I didn't really pay attention to the keyword section of each page of
my website on its original host, Tripod Lycos. This means many pages
either had the same keywords or none at all. In later years, I finally
did go over the keywords for each page. Hashtags and meta tags (in HTML
format) weren't allowed in the keyword section. The keywords did go into
the website's code, which means it added the keywords I provided into a meta
tag the host generated itself.
Where might we run into problems with keywords and tags that AI can help
solve?
If you have an AI assistant scan the content of each page, each watch page
individually because you're struggling to decide what keywords, what tags
should be used, that's where it can help. Why each page individually?
To avoid using keywords and tags that are irrelevant to the content on that
page. What is relevant on one page isn't necessarily relevant on
another. If you specifically talk about witches on one page and ghosts
on another, then you won't want to have a keyword like "Ghosts" added to the
meta tag for the page that only discusses witches.
That's what search engines will positively screech about. Because they
are trying to index content and errors like that on a website means there will
be errors in search results that predictably drive people bonkers when they're
trying to find something.
So why not have an artificial secretary review the content and suggest tags to
use?
YouTube was already doing this by suggesting relevant hashtags before AI
really took off. Whatever relevant hashtags a scan finds for you can
also be used as meta tags. People usually add hashtags to titles and
video descriptions on YouTube, but video uploads as well as channel settings
in Studio have a field to enter tags into. This is where you'd add meta
tags. This is where you would add tags like "Mayfair Witches" or "Anne
Rice". People do put hashtags in these fields, yes. You can also
use meta tags in that fields like you would keywords in the keyword fields on
websites.
So far, I think we can see that AI has some useful utilitarian purposes for
content creators.
Content Creation
As for content creation, hey, nothing wrong with that. I create funsies
on NightCafe, yes. And I have thousands of versions of things generated,
mostly due to my persnickety nature when it comes to results being what I
want. Now those are accurately considered AI generated.
NightCafe also has a sketch-to-image feature that I've used to render sketches
as well as images of my 3D models. To be clear, though, there is
absolutely NOTHING about sketches or my 3D models that are "AI
generated". Not even close. I found NightCafe when I was searching
for a way to render images exported of my 3D models in a photorealistic
way. In fact, many professionals who use 3D modeling software for
architecture use rendering engines like Lumion or Enscape for that
purpose. They use them to give clients a visual idea of what their
project will be, what it will look like when completed. Okay, yes.
A sales tool.
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| Upper Depot Street 3D by Demilune |
The problem is my old fart of a device cannot handle the enormous amount of
resources necessary to run these rendering engines. These rendering
engines are also expensive.
Are we surprised?
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Upper Depot Street 3D Render Artist Unknown The buildings from Demilune's model are on the far right of this image |
No, I wasn't surprised, either.
This is what led me to finally be willing to look at AI generators as a
possible means of rendering my 3D models and even sketches to be
photorealistic.
Render versus Generate
This is the part where, if you use AI like NightCafe as a rendering engine,
you would say "AI modified" or "AI render". I typically indicate those
types of images as being "AI rendered" when sharing them on platforms like
YouTube. Since I am very particular about making sure my content
is not mischaracterized, I began to use the tag section to indicate what
exactly I use to create the content. If it is a render I used NightCafe
to make from an image of my 3D models, I will indicate that it is an AI
render, that NightCafe was used to render, and that the model itself was made
in SketchUp.
So, the tags would go like this: AI Render, NightCafe, SketchUp, 3D
Model. Etcetera.
We know good and well AI can make mistakes. It really is in its early
stages. The idea behind using tags on YouTube as a means of accurately
characterizing how content was made is to help provide platforms with ways to
accurately describe and characterize that content without mislabeling
something as "AI generated" or even "AI modified" when it is not.
Recently, I came across an image that was used as a promotional item for AMC's
Mayfair Witches series. It does show up sometimes with the label, "AI
modified" on Pinterest, but it is unlikely that this is the case. A
local artist in New Orleans,
Pompo Bresciani
created the image (please click his name to see his portfolio), and given its
age, I'm 99.9% certain it is NOT AI modified.
The opening credits of the same show were created by a group of artists who
have
their work on Behance, which is owned by Adobe. Most likely, the graphics of the promotional
material that came out just before the show premiered in January 2023 were
created using Adobe After Effects.
AI and CGI
If I recall, film and television in general have used what has been referred
to as CGI for many years. When you think about it, CGI might just be
something of an inspiration or even a precursor to the idea of AI
generation.
The best example of the use of CGI in films that would be even somewhat
comparable to how AI could be used in content creation now is the 1997 film
Titanic. Look at the scenes where the ship's stern is rising from
the water with people suddenly losing their grip on deck rails, capstans and
whatever else people grabbed at to try to keep from falling. For those
people who actually were people, yes, this massive set of the ship's aft deck
had things like those massive capstans made of softer stuff than what capstans
were really made of (metal). But many of those people were added to the
scenes by CGI.
Why?
Well, because this wasn't 1925 on the Middle Fork of the Coquille River.
The risk of actual people being killed during scenes that have them tumbling
down or overboard is one that filmmakers, producers, studios, etc. just were not willing to take.
1925? Say wut, now?
I'll explain later. Maybe in a later post.
AI and Intellectual Property
For now, let me say this about AI as a creative tool. There is nothing
wrong with having a little fun with it as long as it is used ethically and
responsibly. I am aware of the fact that many artists across all means
of artistic expression are NOT happy about their work being used to train AI
modules without their consent or even their knowledge. It is one reason
why, if it's my own content, I do give permission for companies whose
platforms I use to, in turn, use my content to train AI modules. I just
don't use generative AI beyond a certain point. Like text. Or
music. Or even videos, unless I'm animating a face with my composite
character face that I made for my use in my own creations.
My character composite does make use of my own likeness. Why? It's
very simple. Legal reasons. I just don't like the idea of using
the face of someone else who is alive, especially if they are well
known. It's to avoid that resemblance as much as possible.
Sometimes, a result might bear some resemblance, but it is
unintentional.
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| My Character Composite by ME |
In fact, a lot of my NightCafe generations are created with the idea in mind
that they might be used to compliment other content when combined with
it. They are created with the idea of their use as digital
graphics. Not just personalized avatars, but things like banners and
decorative images. I'm not crazy about using stock photography that is
far more generic. A generator can help content creators who don't
necessarily have the ability to hire someone to design their "brand" for
them. Especially if it's more a personal brand than a business
brand.
AI Controversy
To close, let me say this. Television producers, filmmakers,
professional photographers, artists, recording artists, musicians, novelists,
journalists and many more typically do not care for AI as a means of replacing
craftsmanship in artistic expression. Why should they? These are
people who worked very hard to learn and expand their craft, their art.
This human authorship should not be replaced by machines any more than human
oversight should be. What really irks them is when their work is used by
AI modules without their permission or even their knowledge.
So, what do we do about this? Where do we draw the line? At what
point does it become exploitation or other forms of misuse? How will the
question of whether or not something produced by a generator is the result of
an AI module trained specifically on their work be answered? How would
intellectual property owners go about proving this? It's one thing if
it's blatantly obvious, but what if it's not so obvious? What if the
generated result can be determined to have been created by an AI generator
trained on many things besides protected works? What if the result bears
little resemblance to the works that the AI module that produced it might or
might not have been trained on to begin with?
It's far easier to spot extreme bias in a response from AI chatbots like
ChatGPT. Asking it to analyze a statement made by an actual human but
including specific words in the question that indicate the one asking already
has a negative perception or opinion of the statement being asked about is
what I mean by bias. You know the phrase, "Play stupid games, win stupid
prizes." Except in this case, it would be more like, "Ask a smarta**
question, get a smarta** answer."
In other forms of AI generation, will it be as easy to spot intellectual
property used to train the module as it is to spot biased answers that clearly
result from being asked biased questions?
I don't know. But it is obviously past time to find out.




