Hello everyone! I’m Veronica, and I am a senior English Writing major. I have a background in audio technology and music production and am passionate about music, movies, arts, fashion, and anything creative, really. In my free time, my favorite thing to do is go to music shows, no matter the genre, no matter the space, shows are where I feel the happiest. Maybe it’s because of the connection with the rest of the crowd all singing (and screaming) at once, or the movement of the music. Because I listen to so many different music styles, I don’t always have a friend who listens to the same artist or genre. That’s why, for the last two years, I’ve tried to build myself with courage and borrowed confidence to go to shows by myself. Standing in line to enter is terribly awkward, but sometimes I make friends. Other times, I sink into my phone until the doors open and the music begins to play.
A video I could not embed of a show:
https://photos.app.goo.gl/FqETYwgpsG892byT8
A link the the studio recording version of the song:
La Vida Boheme – “¡Coño!” (Audio Oficial)
On another note, watching NOVA’s documentary helped me realize how much we needed AI technology to support our bio-advances. The fact that, thanks to AI, we can predict a cancer diagnosis five years prior, gives me hope for better treatment options and extending life expectancy. However, it fails to address environmental, creative, ethical, and socio-economic factors. This was about the accomplishments, rather than the challenges. It made me think of the owners of this AI software and those ads Facebook put out when they had just rebranded into Meta. Those ads featured doctors utilizing Virtual and Extended Reality glasses to treat patients, or students learning how to perform surgeries with the same technology. These made me question, how much personal information can one company own? From our social lives to the privacy of our medical records. Furthermore, what are these companies (owners) doing with all that information besides the main selling point for their product? Do they sell that information to third-party vendors? Maybe my ignorance limits my ability to answer those questions, but knowing — or knowing that I can’t know- makes me uncomfortable.
The documentary also made me remember our free writing prompt/quote from last class, about not being scared of AI to write well, rather than us forgetting why we write. AI Reveals the Most Human Parts of Writing poses an important perspective on what makes our writing ours rather than a machine’s. I believe that if we want to claim authorship on a piece, the plot, main idea, and endings all have to come from the writer and not the machine. However, even I have used AI to get inspiration and crush the writer’s block. But how can we put an official boundary and limit AI usage for writers if, as writers, we are all so different? From internship experiences, where AI was the main writer’s tool, I suffered several existential crises trying to understand if AI was still learning from my knowledge or if I had started learning from AI. Tragic. For this, I believe all writers must stand strong on their ground as the author and prevent the machine from taking the reins of our story.
Asking AI to give us a plot for a story should only be writing exercises that remain in the reference vault. But then again, will that rule satisfy all writers’ needs? I don’t think so. What if the piece ends up being amazing? Is it no longer mine because AI gave me the plot, but I wrote the rest? How could we even start to establish AI usage limits?
I think, as the Wire article suggests, this depends on what is important for each writer, what brings them joy or stress, but that wouldn’t solve plagiarism questions; it would just set a segway for an intellectual thief’s success.
Right now, what I know is that I know nothing, and I can only write in a manner that allows me inner peace, with myself and my work. For me, it’s important that the main ideas come from me and not the computer, but I am open to AI-brainstorming sessions. Nevertheless, Gero says that time, and practice, if I may add, are required to simply understand the machine. Understanding where the machine is coming from, why it is giving us certain information, and how that differs from where we come from and what we want to say. I don’t think I have time for all that. For now, I’ll just stick to asking the machine for synonyms or help me translate thoughts into more cohesive sentences.