2026 SCHOLARSHIP WINNER
Connor Pullen
Why I am applying for this scholarship……
Michigan Pagan College Scholarship, I would like to thank you for providing this
opportunity to me and other members of Pagan communities. As someone who grew up around
Pagans, I’ve always appreciated the values held by the community. In many ways, Paganism has
formed who I am today, and that’s why I have been so excited to apply to this scholarship.
My career plan is to get a job in computer science. This has been a field I have grown
increasingly disillusioned with over the past few years, as it’s been overtaken by figures such as
Elon Musk and unethical practices such as the use of generative AI. I intend to use my
disillusionment to guide my career path, finding jobs which I believe are both interesting and
ethical. I hope to be able to improve society by utilizing my skills in programming and problem
solving.
br>
For the past year, my family has been going through a period of intense financial
instability. This is something we have been working on, with much help from my mother, but my
tuition continues to be a large expense for us. I am very grateful for this opportunity that has
been provided for me, and this scholarship would greatly aid our situation.
What Being a Pagan Means to Me
When I was a child, I loved stories that came from mythology. I was enchanted by the
tales of Hercules fighting the Hydra, Anubis leading people to the underworld, and even Noah
herding animals onto the Ark. These stories inspired me and sparked a lifelong passion for
creativity and storytelling. However, I would eventually discover that not everyone shared the
passion and understanding of mythology that I had.
At that age I would often be left alone with my grandparents, and they would babysit me
while my parents were away. One day, I was alone with my grandmother, and I tried to share the
stories I had learned with her. I told her that there was a myriad of gods and goddesses. She
responded that the god of Christianity was the only true god. This baffled me. My mom had
previously entertained me with stories of gods and goddesses like Osiris and Persephone, and I
certainly did not think these stories were untrue, as my grandmother would like me to believe. I
did not believe they were true in the sense that they all happened historically. I believed they
were true in the sense that all stories are made to be true when told for the first time. To hear my
grandmother deny such a basic fact was shocking to me, even before I knew of the insidiousness
within such a sentiment.
Growing up in a Pagan household taught me acceptance. When I was in elementary
school, my parents would gather for rituals with their coven. This was a very diverse coven, and
through interactions with them I was able to learn about different cultures at a very young age.
While Christian children at my school were telling me that homosexuality was a sin, I was able
to meet and interact with gay and trans Pagans in my home. These experiences were vital to me
as a young white boy who spends a lot of time on a computer. There were countless videos on
the internet created specifically to convince lonely kids like me that women, gay people, and
racial minorities were the cause of all our problems. They could have had a substantial effect on
me in the long term if I had not had acceptance ingrained into me through my experiences among
Paganism. This value continues to guide my life to this day, and in a very personal matter.
Despite being raised in a Pagan environment, I also grew up in a very Conservative
Christian society. As a result, growing up I often had the worry that my actions were sinful. I
was incredibly anxious and would often worry about my own moral purity. This is something I
have been learning to grow past, but it puts into perspective how important the beliefs I learned
from Paganism have been to my life. I was not raised with Christian values, and my parents
would never condition me to feel guilty or afraid, yet I still grew up with that moral anxiety. If I
had grown up in a puritanical Christian household, or I was not taught the value of acceptance, I
can almost say for certain these issues would have been much worse. It took me nineteen years
of life to discover my bisexuality. If I was taught that such aspects of one’s character were sinful,
I am unsure if I would ever discover that aspect of myself. In this way, my experiences with
Paganism continue to benefit me, and keep me an accepting person to others and myself.
The Myth of Artificial General Intelligence’ s Inevitability
Artificial intelligence (AI) is a topic which is subject to a lot of misinformation from
those inside and outside of its professional context. One of the greatest acts of misdirection from
the AI industry comes from its use of the word “intelligence.” The AI models that currently exist,
such as ChatGPT, Alexa, and self-driving cars, do not have anything close to what we would
consider human intelligence, and would be classified as artificial narrow intelligence (ANI).
However, there is a theoretical type of AI called artificial general intelligence (AGI) which
would be truly intelligent and have superhuman capabilities, including the ability to interact with
humans, interpret language, and learn on its own (Faraboschi et al, 94-95). AGI is more of a
vague concept without a formal definition, and the consensus is inconsistent as to whether true
consciousness must be achieved to reach AGI (McLean et al, 660). This vagueness has aided the
AI industry in creating the narrative that AGI is an inevitable part of the future, and every
improvement in AI gets us closer to AGI. Our current AI models are not fit to expand to AGI,
attempting to do so would lead to high amounts of inaccurate data, and the only reason AI
leaders spread the idea that AGI is inevitable is because it creates a sense of urgency around its
development.
br>
AI would need to work very differently from how it works now for AGI to exist. While
modern day AI models may appear to think on their own, the most advanced AI models currently
use a large database of hyperparameters, which are date the AI can analyze to determine how it is
meant to act. It uses these hyperparameters to predict whatever the result of a certain input
should be (Hunter et al, 5, 9). For example, a large language model (LLM) like ChatGPT could
take an unfinished input like “Have a nice” and correctly predict that the most likely word to
complete this sentence is “day.” In this way, the AI is not intelligent in the way humans are, but
rather very good at conforming to a set of standards it was given. Computer scientist Yann
LeCun has claimed that AI models have hardly come close to being able to interact with the
world in a human way, something that would be vital to AGI (Musiol). Every new breakthrough
in AI generated video, image or text seems only to improve AI’s ability to create predictions or
increase the capacity in which AI can access data. There is no amount of fine-tuning ANI that
will lead to the existence of AGI, and unless a company comes up with a plan to truly innovate
AI, AGI’s existence cannot be taken as a given.
AI 2027 is a work of fiction which presents itself as a prediction of the future of AI,
arguing that AGI will be reached by the Fall of 2027. Its writers claim that ANI will eventually
be able to train on its own data, and in doing so it will exponentially grow in knowledge. At this
point, the AI would learn so fast that any improvements to the AI made by humans would be
negligible. At this point, the AI would be classified as AGI (Kokotajlo et al). The problem with
this argument is that we have tested AI’s ability to learn from itself, and it has not been able to
create its own knowledge. One of the major problems with ANI is called “hallucinations.” AI
can only make predictions, meaning it cannot verify information. If you were to ask an LLM for
the result of two plus two, it would respond that the value is four, because many of its
hyperparameters would make the same claim. However, if you were to ask an LLM for the result
of a more complex equation which does not appear in any of its sources, it would output a
nonsensical result, as it is only trained to predict language and cannot accurately perform
mathematical equations. In a similar manner, AI can often create hallucinations of facts or
events, as it does not have the capability to think on its own. A 2025 study demonstrated that AI
is inconsistent when it comes to interpreting text such as literature in an accurate manner (Adel
and Alani, 6808). These flaws are a limitation of ANI, and if the idea for AGI shared in AI 2027
was attempted, AI would be generating flawed date for itself and training on said flawed data,
increasing the likelihood of it generating more hallucinations. This has already been shown to be
an issue, as AI that trains off of data from the internet has experienced difficulties as the internet
becomes filled with more AI generated content, leading to the degeneration of the AI’s
hyperparameters (Bhatia).
Despite the lack of evidence, leading AI companies still present AGI as if it is the
inevitable outcome of their continued work and research. OpenAI, the creators of generative AI
models such as ChatGPT, present themselves as if they are consistently getting closer to
achieving AGI, even though their work has not evolved beyond predictive ANI models
(OpenAI). The CEO of Google DeepMind has gone so far as to claim that AGI is only a few
years away (Musiol). These bold statements have been taking advantage of the lack of AI
knowledge among the general public. By spreading the idea that one’s company will imminently
create AGI, AI leaders are pressuring investors and other companies into supporting the
continuing development of AI as to not be left behind. A thought experiment in the AI industry
called Roko’s Basilisk takes this pressure a step further. It posits that if an AGI were to be
created, it would need to do anything it can to ensure its own creation. Because of this, the theory
states that once AGI is created, it will retroactively punish anyone who did not actively aid its
creation (Singler, 280). This is an extreme but notable example of how fearmongering is
pervasive among AI proponents, and the spreading idea that AGI is inevitable only serves to
benefit AI companies.
AGI may exist at some point in the future, but it is dangerous to treat it as if it is an
inevitable invention. AGI would have to be far more complex than predictive ANI systems, and
the AI industry has not been innovating those systems. Experiments involving ANI systems
training upon their own data have shown to cause accelerated hallucinations. Ultimately, the AI
industry has pretended they are very close to discovering AGI to maintain their own financial
success. AI leaders often claim that AGI will benefit humanity, but the fact that they have no
plan to create AGI shows that they are acting in dishonesty and greed. To truly benefit humanity,
they should calm down their rhetoric and encourage others to make informed, realistic decisions
when it come to the future of AI.
Works Cited
Adel, Amr, and Noor Alani. “Can Generative AI Reliably Synthesise Literature? Exploring
Hallucination Issues in ChatGPT.” AI & Society, vol. 40, no. 8, Jun. 2025, pp. 6799-812
Bhatia, Aatish. “When A.I.’s Output Is a Threat to A.I. Itself.” The New York Times, 26 Aug.
2024,
http://www.nytimes.com/interactive2024/08/26/upshot/ai-synthetic-data.html
Faraboschi, Paolo, et al. “Artificial General Intelligence: Humanity’s Downturn or Unlimited
Prosperity.” Computer, vol. 56, no. 10, Oct 2023, pp. 93-101,
http://doi.org/10.1109/mc.2023.3297739
Hutter, Frank, et al. Automated Machine Learning: Methods, Systems, Challenges. Springer, 2019
Kokotajlo, Daniel, et al. “AI 2027.” AI 2027, 3 Apr. 2025, http://AI-2027.com/race#narrative-
2027-06-30
McLean, Scott, et al. “The Risks Associated with Artificial General Intelligence: A Systematic
Overview.” Journal of Experimental and Theoretical Artificial Intelligence, vol. 35, no.
5, Jul.
2021
Musiol, Martin. “Chapter 6: Artificial General Intelligence in Sight” Generative AI: Navigating
the Course to the Artificial General Intelligence Future. John Wiley & Sons, 2024.
OpenAI. “Planning for AGI and Beyond.” OpenAI, 24 Feb. 2023,
http://openai.com/index/planning-for-agi-and-beyond/
Singler, B. (2017). Roko’s Basilisk or Pascal’s? Thinking of Singularity Thought Experiments as
Implicit Religion. Implicit Religion, 20(3), 279-297.
https://doi-org.proxy.lib.wayne.edu/10.1558/imre.35900
ACCEPTING APPLICATIONS IN JANUARY 2027
Michigan Pagan College Scholarship Fund is offering a $500.00 Scholarship for a rising high school senior, undergraduate, or graduate. All applicants must LIVE in Michigan. Applicants must be 17 years of age or older, have a current GPA of 2.5 or higher, be Pagan, and currently accepted in a full time course of study in any accredited two or four-year college or university. Applicants must provide their most recent school transcript to establish state of residency, and GPA requirements. In addition they must also state the reason for applying for this scholarship in 250 words or less and submit a 500 word essay about what being a Pagan means to them. There is a third essay a 3 Page typed, double-spaced, MLA formatted pages on the scholarly topic of your choosing.
As always good luck to all those who apply.
Michigan Pagan College Scholarship Fund