What does being 'in the weights' mean?

The weights are the billions of numbers forming an AI's brain. Being in the weights means the models recognize you directly from their pre-training data, without needing to execute a web search.

Which models are tested by the tool?

The tool queries several frontier and small open-weight systems simultaneously, including GPT-5.5, Claude Opus 4.8, Gemini, Grok, GLM, Qwen3 8B, and the Llama series.

What does the strength score represent?

The site assigns a score up to 996 based on how confidently multiple AI models recall the name across clustered responses.

Can the models provide incorrect information?

Yes. Models may hallucinate biographical details or events that never happened. A high score indicates confidence, not necessarily factual accuracy, and common names can produce mixed results.

Who created Are you in the Weights?

The tool was built by former OpenAI employees Thomas Dimson and Joey Flynn, launching in June 2026.

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AI Metrics and Evaluation

Free

Are you in the Weights?

Find out if you live forever in the brain of the LLMs. Type a name and see how strongly the leading AI models recognize it from their training data.

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about 2 months ago

Listed

Artificial Intelligence

AI Metrics and Evaluation

LLMs

Tech

Games

AI Tools

Tool information

Provider

Thomas Dimson and Joey Flynn

Platforms

Web

Languages

English

Added to directory

about 2 months ago

Last updated

about 1 month ago

Rating

Not available

Pricing

Free

About Are you in the Weights?

What the tool does and who it's for

Are you in the Weights? is an evaluation tool featuring a retro pixel-art design that queries multiple frontier and small AI models simultaneously to see if a specific person or entity exists within their training data. By querying models like GPT-5.5, Claude Opus 4.8, Gemini, Grok, Qwen3, and the Llama series in parallel, the site bypasses web search to cluster the AI responses and assign a 'strength score' (up to 996) indicating how confidently the AI models recall the subject.

Key capabilities

Parallel AI querying across multiple frontier and small open-weight models.

Checks LLM recognition directly from training data without web search access.

Calculates a recognition strength score ranging from 0 to 996.

Clusters AI model responses to evaluate recall accuracy and confidence.

Tests presence in GPT-5.5, Claude Opus 4.8, Gemini, Grok, Qwen3, Llama, and more.

Features a retro pixel-art interface with sound effects.

Pricing

Free — plans below

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