Even with the most advanced pre-genAI technology, making sounds and images is a manual craft that requires one to develop not just technical skill / tool knowledge, but the concepts to define and articulate what you actually want. Intentionality and vision. The “what you want” becomes more complex and nuanced just as much as the “what you can”, by necessity.
GenAI not only fills in the blanks for “what you want” based on a vague text prompt, with the lowest common denominator of its training data, it provides no means or motive to develop intentionality. In its current form, it’s a cognitive dead end, endlessly providing a statistically smudged shadow of the detailed knowledge and conceptual space that gave birth to the data it was trained on. A picture is worth a thousand words, and today’s cutting edge models still forgot most of them.
It could get better. But it could also stagnate in a very dystopian way if it discourages learning traditional art without becoming a real alternative that continues to produce artists and not just consumers.
GenAI not only fills in the blanks for “what you want” based on a vague text prompt, with the lowest common denominator of its training data, it provides no means or motive to develop intentionality. In its current form, it’s a cognitive dead end, endlessly providing a statistically smudged shadow of the detailed knowledge and conceptual space that gave birth to the data it was trained on. A picture is worth a thousand words, and today’s cutting edge models still forgot most of them.
It could get better. But it could also stagnate in a very dystopian way if it discourages learning traditional art without becoming a real alternative that continues to produce artists and not just consumers.