13h agoDatabricks' Yuchen Jin proposes an analogy likening human attention and meetings to the computational cost of burning LLM tokensY1 top authorThe analogy equates personal boundaries with metered AI model access.Original postYUYuchen Jin@Yuchenj_UWThink of yourself as an LLM. Every social interaction, every meeting, burns your tokens. Unless someone is a paid subscriber to your attention, you are under no obligation to answer low-quality prompts.8:57 PM · Jun 4, 2026SentimentSentimentPos58.3%Neg41.7%Many users praised the analogy of treating attention like LLM tokens for effective boundary management and filtering interactions, while others dismissed the idea as dehumanizing or overly transactional.36 comments with sentiment. View comments.
