The output doesn't matter: Thoughts on Aristotle's Craftsmen in the age of LLMs (lambdacreate.com)

In a thought-provoking critique, the author examines the impact of large language models (LLMs) on creative processes, arguing that the focus on quick output undermines the essential value of the creative journey. Current technology allows individuals to rapidly generate art, code, and content, yet this convenience often circumvents the iterative "try-fail-learn" loop that enriches human learning and craftsmanship. The piece contrasts mass-produced products, like those from Ikea, with artisan creations, underscoring how the lack of personal investment in the process can render outputs less meaningful and devoid of true craftsmanship. This discussion is significant for the AI/ML community as it raises questions about the role of AI in artistic and technical endeavors. While LLMs democratize access to creative tools, they also risk creating a culture of superficial production, where the end product overshadows the importance of intentional engagement and skill development. The author invokes Aristotle's philosophy on craftsmanship, highlighting that genuine creative engagement involves contemplation, action, and iterative learning—elements that using LLMs can unintentionally sidestep. Ultimately, the author calls for a mindful approach to AI tools that preserves the integrity of the creative process while acknowledging the challenge of fostering genuine engagement.