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
IN THE WEIGHTS checks how strongly AI models recognize a name, then shows a strength score, leaderboard ranking, and per-name page.
Overview
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.
Features
Multi-model scoring
The site queries several models and combines their responses into a single strength score, giving a cross-model view of recognition.
Strength score calculation
The about page says the score averages how strongly models recognized the name and adds a bonus for how many models recognized it.
Category-based leaderboard
A leaderboard ranks names by strength and can be filtered into categories such as sports, music, film-tv, science, politics, and more.
Per-name result pages
Individual pages show a name, a strength score, rank context, and a model response excerpt for that entry.
Response clustering workflow
The about page explains that the site compares responses from a fixed model set and clusters similar descriptions before scoring them.
Use cases
Check recognition of a specific name
Look up a public figure, creator, or character to see whether multiple models can identify them without external search.
Explore high-scoring names
Browse the leaderboard to compare which names score highest across the site’s model set and category filters.
Review model responses
Open an individual name page to inspect the model answer excerpts and understand how the score was assembled.
Compare score interpretation
Use the about page’s explanation of scoring to interpret differences between models, especially when names are common or misspelled.
Share a result page
Follow a shared name page or copied image link when you want to point someone to a specific result.
Pros and Cons
Pros
- Simple input flow: enter a name and review the recognition result.
- Compares recognition across several leading models instead of a single model.
- Provides both a numeric strength score and a ranked leaderboard for context.
- Includes individual result pages with model-specific snippets and descriptions.
Cons
- The site’s scoring method depends on model responses, which the about page says can vary between runs.
- Misspellings can score lower than the correct spelling.
- Common names with many results tend to have lower scores and recall.
FAQ
How does IN THE WEIGHTS work?
You enter a name and the site checks how strongly leading AI models recognize it, based on the model responses it queries.
What is the strength score?
The site explains that it queries multiple models with a prompt like “Who is <name>?” and then clusters similar responses into a strength score.
Are there any limitations I should know about?
The about page says smaller models make it harder to be “in the weights,” and misspellings can score lower than the correct spelling.
What results does the site show?
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.
Is there public pricing information?
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.
Quick Facts
- Category
- AI Search
- Product type
- Web app
- Primary workflow
- Enter a name and review model recognition
- Output
- Strength score, leaderboard placement, and name pages
- Source domain
- intheweights.com
- Audience
- People checking whether a name appears in AI model weights
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