Using an LLM to Automate the Process of Archiving New macOS App Icons (blog.jim-nielsen.com)

A tech enthusiast has successfully leveraged a large language model (LLM) to automate the tedious process of archiving app icons following the release of new versions of macOS. Previously, this involved manually locating each app, extracting its icon via the “Get Info” pane, and saving it in a specific format. With the use of the LLM, the individual created a prompt that enabled the model to efficiently identify and extract the 1024-pixel app icons from the system, ultimately saving significant time and effort in the process. This development holds notable significance for the AI/ML community as it showcases the practical application of LLMs in automating everyday tasks that require specific sequences of actions, particularly in digital asset management. The LLM initially misinterpreted the task by upscaling images rather than finding the largest available version, highlighting the importance of iterative coaching in AI training. After refining its capabilities, the model successfully processed a list of 76 apps, demonstrating its potential to assist users by streamlining workflows in increasingly complex environments. Such applications may inspire further innovations in automation tools powered by AI, benefiting a wide range of digital content creators.