Former OpenAI Staff Launch Tool to Test AI Model Memory

Former OpenAI employees Thomas Dimson and Joey Flynn launched 'In the Weights,' a free site measuring how AI models like GPT-5.

EC
Ethan Calder

June 21, 2026 · 2 min read

Abstract digital network with glowing AI nodes capturing fragmented user data, symbolizing AI's growing control over digital identity.

Former OpenAI employees Thomas Dimson and Joey Flynn launched 'In the Weights,' a free site measuring how AI models like GPT-4 and Claude 3 Opus recall individuals. This tool exposes a new, opaque frontier for digital identity. Users expect their online persona to be defined by web search. Instead, it's increasingly shaped by the internal, opaque 'weights' of large language models. This creates a fundamental tension. Managing your digital footprint now means optimizing for AI model recall, not just web search. This shifts personal branding and reputation management, often with less control over accuracy. AI models are seizing control of digital identity. 'In the Weights' is a critical, if imperfect, tool for this new reality.

How AI Models Are Redefining Your Digital Footprint

The 'In the Weights' service queries models like Grok, Gemini, GPT, Claude, and Llama with "Who is this person?" It then assigns a 'strength score' based on responses (Zamin Uz, Startup Fortune). This process often reveals AI 'hallucinations,' where models confuse individuals or fabricate facts (Zamin Uz). This means your digital identity is now vulnerable to AI's internal biases and errors. Thomas Dimson, a co-creator, predicts that by 2026, self-Googling would be less important as information retrieval shifts to language models (Zamin Uz). This shift makes personal branding and reputation management a new, precarious game.

Understanding AI Recall vs. Digital Footprint

Early reports claimed 'In the Weights' showed a 'digital footprint within AI training data' (The Tech Buzz). Startup Fortune clarified: the tool measures AI models' recall strength, not website ranking or SEO. This distinction matters. It means the tool shows a dynamic, often inaccurate, snapshot of AI's current knowledge, not a static data footprint. Individuals lose control. Digital identity is now fragmented across opaque AI models, not a single searchable web. Correcting AI-generated inaccuracies is harder than fixing SEO issues.

Preparing for AI-Defined Personal Identity in 2026

Tools like 'In the Weights' confirm an imminent, disruptive shift in digital identity. Most are unprepared for AI-defined personas. Dimson's prediction that self-Googling would be irrelevant by 2026 (Zamin Uz) highlights this urgency. Individuals and brands must manage their 'recall score' across various large language models. Failure to adapt means losing digital relevance. This is not a gradual evolution; it's a fast-approaching reality.

If AI models continue to shape digital identity more than traditional search, managing one's online presence will likely mean optimizing for AI recall, not just web visibility.