Name-based recognition lookup
Search for a name to see how strongly the site’s model set recognizes it, rather than whether it is found by web search.
IN THE WEIGHTS is a web app that checks how strongly leading AI models recognize a name, then presents the result as a strength score, leaderboard placement, and per-name page. It is useful for exploring whether a person or character is represented in model weights without using web search.
IN THE WEIGHTS is a site for checking whether a person or character is represented in leading AI models’ internal weights. The homepage invites users to type a name and see how strongly a set of models recognizes it, framing the result as being “in the weights.”
The product presents those results as a strength score, a public leaderboard, and individual name pages. Its about page explains that it queries multiple models with a “Who is <name>?” prompt, clusters similar answers, and scores recognition using both average strength and model coverage.
Search for a name to see how strongly the site’s model set recognizes it, rather than whether it is found by web search.
The site queries several models and combines their responses into a single strength score, giving a cross-model view of recognition.
The about page says the score averages how strongly models recognized the name and adds a bonus for how many models recognized it.
A leaderboard ranks names by strength and can be filtered into categories such as sports, music, film-tv, science, politics, and more.
Individual pages show a name, a strength score, rank context, and a model response excerpt for that entry.
The about page explains that the site compares responses from a fixed model set and clusters similar descriptions before scoring them.
Look up a public figure, creator, or character to see whether multiple models can identify them without external search.
Browse the leaderboard to compare which names score highest across the site’s model set and category filters.
Open an individual name page to inspect the model answer excerpts and understand how the score was assembled.
Use the about page’s explanation of scoring to interpret differences between models, especially when names are common or misspelled.
Follow a shared name page or copied image link when you want to point someone to a specific result.
You enter a name and the site checks how strongly leading AI models recognize it, based on the model responses it queries.
The site explains that it queries multiple models with a prompt like “Who is <name>?” and then clusters similar responses into a strength score.
The about page says smaller models make it harder to be “in the weights,” and misspellings can score lower than the correct spelling.
The site shows a public leaderboard and individual name pages, and the about page notes that page images are generated from model weights for the top 20 entries.
The sources do not show a public pricing table or plan details on the pricing page; only the site shell and leaderboard content are visible in the collected text.
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