Googling yourself is obsolete — does LLM memory determine your real-world clout?
former openai founders launched 'in the weights', a tool that queries models like grok and llama to score how well ai recalls your identity without web search, shifting the vanity metric from google rankings to llm parameter weight.
thomas dimson and joey flynn launched 'in the weights', a vanity search tool that moves beyond traditional search engines to measure how well an individual is encoded in the 'weights' or parameters of leading ai models. the platform prompts models such as gpt, claude, grok, gemini, and llama to identify specific names without using web search tools, then aggregates the responses to generate a 'strength score' and rank users on a leaderboard. dimson noted that google vanity searches are the wrong objective for 2026 as more traffic migrates to llms, emphasizing that the site aims to satisfy a curiosity about whether one's existence is deemed important enough to be preserved in the 'super intelligence' training data. the tool also reveals disparities in model performance, showing where different ai systems hallucinate or fail to recall subjects, which dimson plans to investigate further.