I grew up in an analog world. My house was full of books. If I wanted to listen to music, I put on a vinyl LP. Later, when I wanted to watch a movie, I popped in a videocassette into the VCR. Those days are long gone. Now, I have a library of eBooks, I stream music, and I watch Netflix. My world has changed.
Not only has the manner in which I consume information changed,
but also the manner in which I produce it.
Back in the day, I could submit handwritten essays to my
teachers in high school. When I first arrived at university, I hired a typist
to turn those essays into typed documents. As a graduate student in the English
department, I was the first grad student to haul up a bulky MS Dos PC clone, a monitor
the size of a portable television, and a dot-matrix printer into a shared
office.
Around the year 2000, I self-published my first nonfiction
book online, coded entirely in HTML, before the arrival of PDFs and Google. As
a result, hardly anyone could find it, and those who did probably had no idea
how to download it.
Fast forward twenty-some years, and I self-published my
first novel on Amazon. It is available as an e-book and a print-on-demand hard
copy. Although sales have been modest, the novel has been purchased by readers
in North and South America, as well as Europe. This is a quantum leap in how
books are now published.
Now, as I work on my second novel—a post-apocalyptic science
fiction story entitled The Ascension of Mont Royal, narrated by a sentient
AI—I feel as if I’ve stepped into my own science fiction story.
While working on my first novel, I hunkered down by myself
and wrote an 80,000-word first draft without the help of AI, as ChatGPT was
terrible at fiction in its initial version. Also, after speaking with several
published authors, I learned that a first completed novel is unlikely to find a
traditional publisher. Therefore, I decided to treat it as an apprenticeship
novel and self-publish it.
A significant change to my traditional workflow was using
DeepL Write, an AI-powered writing companion, to edit my second-to-last draft
before submitting it to a human editor. I prefer DeepL Write because, unlike
LLMs, it respects my voice and does not impose a bland, generic literary style
as a way of "improving" the quality of the text. DeepL simply
provides me with diction and syntax options from which I can choose.
When I started writing the first draft, I labored away as I
had previously, alone, trying to muster the motivation to maintain a writing
practice and dreading the idea of trying to get a traditional publishing deal.
After writing about 10,000 words, I made a significant change. Since my
narrator is a sentient AI, I thought, "Why not discuss the story with an
LLM?"
When AI Became My Thought Partner
At first, I tried Claude, but each thread was separate, and
there was no continuity from one thread to another, which is a serious
drawback. Perhaps this important feature for fiction writers has been added, or
maybe it's now available with a paid subscription. However, I didn't need to
look far to find what I was looking for in ChatGPT. OpenAI added extended
memory capabilities in the 4.0 iteration, so I could have continuous
discussions about various topics without uploading previous threads or documents.
At this point, I realized the ChatGPT could become a
thought partner instead of a simple type-and-go command tool. As I continued writing
the first draft, I would engage GPT in very thoughtful conversations about the
nature of the modern mindset, quantum theories of consciousness, and, more
importantly, how these issues could play out in fiction and, most importantly--in my story. (The choice to use an em dash at the end of the
sentence is entirely my own).
For all the novelists reading this, imagine having
meaningful, well-thought-out, and to-the-point discussions about the
intricacies of plot changes and character arcs with someone who has your story
in their working memory. Unless you live with an editor or literature
professor, it's difficult to find someone who is so invested in the inner
workings of your story. Moreover, GPT is always available and willing to engage
in these types of conversations, unlike life partners.
Again, this is where advances in information and communications technology come into play. I remember taking a first-year
computer science course at university where we worked in FORTRAN and used punch
cards to run our programs, waiting in line to feed them to a mainframe
computer, hoping there weren’t any coding errors that would end the execution
of the program.
Today, from the comfort of my home office in Ecuador, I can
type my prompt into a system that sends it via a high-speed optical cable
network to an unknown server somewhere on the planet. GPT processes the prompt,
and a detailed response to my query appears on my screen in less than a second.
WTF? We're definitely not in Kansas anymore!
The second turning point occurred while I was sitting under
La Señora, the mother tree in the park that I frequent daily. Out of the
blue, a thought arose: “Why not give your novel away for free?” Not having any
hang ups about trying to control the intellectual property rights of a novel
that hardly anyone would read, I thought to myself:
Yeah, give away the first draft
as a first edition and make it available at no charge on the web. Experiment.
See what happens, and if things work out well, I can monetize later.
After doing some research, I decided to reactivate my
Substack account and prepared to publish the first episode of my serialized
novel. However, here’s the thing: neither of my adult sons reads long-form
print stories or articles, and my best friend listens to audiobooks because
he's too busy raising a family to read traditional books. So, I decided to
include an audio version of each episode, but not a quick read-the-text-into-the-record function provided by Substack.
Having already published a novel, I had seriously looked
into the possibility of producing the audiobook version. I learned how to use
the audio-editing program Audacity and bought a Shure MV7+ microphone that comes with
an AI-assisted recording tool, which allows me to create a recording that is
close to recording studio quality.
I guess I like the sound of my own voice. Big smile. In any
case, it wasn’t a big leap for me to publish a written and audio version of
each episode on Substack.
This led to the third turning point.
Inventing the Story Cast
While scrolling through my YouTube feed, I came across a
video explaining how to use Descript, a program that can turn an audio-only
podcast into a YouTube video. This caught my attention because I produce audio
versions of my serialized episodes
As it turns out, Descript is very easy to use since editing
is done using a transcript of the audio. In my case, I wrote and edited the
text from which each audio file was recorded. Uploading the MP3 file from
Audacity and the text from my Word document was as easy as it gets. Descript
then syncs the audio to the transcript and offers dynamic captioning. Again,
WTF? Where am I?
I needed to come up with a word for this new version of my
novel, so I decided to call it the “story cast” version. It combines the
features of an eBook and an audiobook, and on top of that, it adds dynamic
captioning and the ability to add visuals to enhance the storytelling. For my novel,
I use AI-generated images made with text prompts extracted from the written
version of each episode. Easy peasy.
So, with each episode I upload to my Substack, I also upload
a story cast version to YouTube, which I then use in a social media campaign. I
can copy and paste the URL from YouTube into my Facebook author page or
anywhere else where it may attract attention. Here is the story cast version of
Episode 6: Quid Pro Quo, recently uploaded to YouTube.
Creating story cast versions with Descript is an ongoing
learning process. I can already see an evolution of storytelling and video
techniques developing. For example, in the first episode, I tried to imitate a
female voice like a voice actor would. Truth be told, I was terrible. Using an
AI-generated voice for other characters significantly improves the quality of
the performance, and I will continue to do so. In the scene I just finished
writing, three female characters are having a discussion. I’m not a voice
actor. If I were to do it alone, I would botch that part of the story.
As you can see, we are definitely a long way from Kansas.
So, what does this mean for story telling?
The Future of Reading (Isn’t Just Reading)
I don’t think the printed book will go the way of video
cassettes or floppy disks. However, I do think there will be an increase in the
number of ways consumers can experience a story. Print, eBook, and audiobook
versions are already available. I would also add the story cast version to the
list, which could potentially appeal to non-native English speakers because
they can watch it on YouTube with dynamic captioning and have subtitles in
their own language that are simultaneously translated and synced. Keep in mind
that there are more English speakers as a second language than native speakers
worldwide, and over four billion people have smartphones.
What does this say for the distribution of stories in the
future?
It depends on the reading habits of future generations.
In my case, I haven’t been in a bookstore for more than ten
years, yet each year I purchase and read approximately fifty eBooks. Similarly,
I never buy a newspaper or a magazine since I can access the content I want
online.
Sometimes, I read books on my large desktop monitor,
sometimes on my tablet, and sometimes on my smartphone, depending on my
location, without ever losing my place as I transition from one device to another.
So, when I read a story, the printed page is nowhere to be seen.
Storytelling is evolving. While I’ll always love the printed
page, I’m embracing the full spectrum of tools, from AI collaborations to story
casts, to bring my stories to life. Whether you’re a writer, reader, or curious
listener, know that the future is already here. Let's shape it together!
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