The Next Scarce Resource in AI Will Be Professional Experience
The era of nearly free and publicly available data for training artificial intelligence is gradually approaching its limits.
The internet, books, images, music, videos, and various archives gave AI its initial education. They allowed it to observe a large part of the world created by humans, discover patterns within it, and learn to reproduce the outcomes of human activity.
But the next stage will be much more difficult.
Today, AI has something resembling a statistical sense of beauty, but it does not yet possess consistent professional taste. It knows what usually looks or sounds good, but it does not always understand why a particular decision works in a specific context.
Sometimes this is enough to produce an impressive result. But in high-quality digital products, music, film, and design, reproducing familiar patterns is no longer sufficient.
This is especially noticeable in the generation of music, video, and visual content.
In terms of sound quality and arrangement complexity, generative music is already approaching commercial production. Yet many AI-generated songs still sound formulaic. A model can reproduce the external characteristics of a musical genre, but it often fails to capture its internal drama, tension, and embodied rhythmic logic.
Full Article: https://x.com/sabosugi/status/2084920285116166420
