The early stages of any new technology can be described as a ‘dynamite’ phase, where it can prove to be disruptive to the established norm. Such revolutionary force has the potential to revolutionize society completely, allowing us to break down barriers and move humanity forward.
AI, particularly generative AI, is creating a wave of anxiety in the artistic and writing communities since it raises the specter of their livelihoods being affected. It’s currently in its most potent form yet.
Having written professionally for half a dozen years and created consumer tech products such as games, healthcare, education, media, and payments in the last dozen-plus years, I have a deep personal investment in this topic.
Creating: a personal act. Writing, art, coding, and designing require a craft that takes years of hard work and dedication to perfect.
We cultivate our distinctive style by taking in knowledge from our peers, whether reading, watching videos, or even just watching and then trying. Over time, this listening and doing process allows us to gain experience that eventually forms the building blocks of our very own style.
The apprehension of being branded ‘copycat’ is certainly one that looms large for artists; they are perennially scared of being considered derivative. But on the contrary, our learning process has largely depended on imitation.
Copying Van Gogh’s Sunflowers does not bring about any questioning of a young person (or even an adult) who is playing around with an Apple Pencil.
As a fantasy fiction writer, I mimicked stories from the Panchatantra and Enid Blyton’s school stories for some time. It took quite some time for me to learn not to be a copycat of Pratchett nor emulate the bad poetry of Tolkien in my writing, instead finding motivation from
After several written words (both handwritten and typed), I felt increasingly sure of myself in terms of my capacity for creativity.
Generative AI brings up a problem for me: what if a Large Language Model is trained on fiction written by some of the best writers and manages to create something not derivative – something original? Would this be possible for music and art as well?
Generative AI could potentially assist artists in producing art pieces in the signature style of the artist and thus resulting in a potential loss of income for them.
After discussing the matter with various people, it became apparent that others had queries about this field’s ethics, economics, and policies. I realized that these were questions shared by many.
This essay is a deep dive into this new ‘dynamite’ phase. Whether you are an artist or a technologist, it can trigger your curiosity in product building and help you make sense of this exciting development. I have learned and distilled the information for sharing here.
If you’re an AI expert looking to figure out how the world perceives your creations, or just a bystander marveling at all the commotion, buckle up! It doesn’t matter who you are—the AI revolution is here, and it’s exciting.
Generative AI, LLMs, Diffusion Models & More: Explained
Deep learning architectures, or deep neural networks (DNNs), have revolutionized the field of artificial intelligence (AI). Combining large datasets and complex algorithms, DNNs enable machines to perform tasks that were once impossible to automate by harnessing the power of LLMs, such as Convolutional.
These instruments are valuable writing assistants, particularly those that shorten lengthy writings. Editing extensively, checking for correctness, and amending passages that do not have a good flow are all essential steps to produce impressive work.
Good writing has always been important and will become even more so with technological advances. Undoubtedly, it will become increasingly widespread and of higher quality.
By learning to live with Generative AI and leveraging its power responsibly, we can help ensure that these technologies continue to evolve in a way that benefits society. Whether you are a developer, a business owner, or simply someone interested in the latest technological advancements, understanding Generative AI is crucial in today’s rapidly changing world.
Source: National Herald
