LinkedIn without lunatics is deeply weird (designcapitalpower.substack.com)

A tech developer has created a unique browser extension using a language model (LLM) that filters LinkedIn posts, allowing users to view only content from their direct connections. This tool emerged from the overwhelming noise of irrelevant posts that plague the platform, highlighted by the popular subreddit r/LinkedInLunatics, which showcases bizarre and offbeat contributions from users. The extension reveals an astounding 55:1 ratio of unwanted to relevant posts, underscoring the significant disconnect between user intent and the platform's content visibility. This initiative is noteworthy for the AI/ML community as it highlights the potential for LLMs to enhance user experience in social media environments by curating content more effectively. By filtering out distractions, it promotes a more meaningful engagement with one's professional network. Furthermore, this concept invites broader applications in tech, suggesting that similar curatorial logic could improve experiences in various digital interfaces, such as navigation apps or entertainment platforms, emphasizing user-centric design in algorithm development.