l check

A call-out or self-assessment determining whether someone is playing intentionally badly in a game — deliberately dying, feeding kills, or throwing objectives on purpose. Dropping an int check on a teammate is equal parts accusation and interrogation: are you actually this bad or is something deliberate happening here? The check invites either a confession, a defensive explanation, or a meltdown in chat. A staple of competitive gaming communication, it has migrated into everyday discourse to question whether someone's terrible decision-making is wilful or just genuinely catastrophic.

An LLM check is the act of running something past an AI language model to verify, fact-check, summarize, or improve it before trusting or using it — the 2020s equivalent of Googling something, but more conversational and more prone to confident-sounding errors. When someone says they're doing an LLM check, they're acknowledging both the utility and the skepticism: the model might be right, or it might be hallucinating with complete conviction. LLM checks have become a reflex for students, writers, and professionals navigating a world where AI assistance is ubiquitous.

A call-out or verification moment where someone is assessed — by themselves or by the community — to determine whether they are truly worthy of the lodi title. A lodi check is a reality test: are you actually putting in the effort, delivering the results, and carrying yourself like the idol people have made you out to be? It can be a playful self-audit or a pointed community challenge. Failing a lodi check means your reputation just took a hit. Passing one means the admiration was earned.