Words Are a Byproduct of Consciousness. For LLMs, It's Backwards (ranpara.net)

A new perspective on the interplay between human thought and large language models (LLMs) has emerged, emphasizing a fundamental difference: while humans generate words as a byproduct of consciousness and ideas, LLMs operate in reverse, with words serving as the primary source from which they predict the next output. This distinction highlights a significant inflection point in technological evolution, suggesting that as LLMs become more widespread, they could reshape our understanding of creativity, communication, and even decision-making. The implications for the AI/ML community are profound. As LLMs increase in efficiency akin to early computers, the accessibility of tools for idea execution will elevate creativity over technical skill, making consistency and innovative marketing crucial for success. However, there is concern that as LLM-generated content proliferates, it could dilute the richness of human context in future models. Despite these challenges, the article expresses optimism about the transformative potential of AI, positing that it will foster new ways of thinking and problem-solving among humans, foreshadowing exciting developments in the coming years.