The Shift from Web Search to AI Recall

As search traffic increasingly migrates from traditional web indexes to Large Language Models (LLMs), creators Thomas Dimson and Joey Flynn launched In the Weights to address a new reality: being "remembered" by an AI is becoming a modern marker of relevance. Unlike traditional vanity searches that rely on Google rankings, this tool measures how deeply a person's existence is encoded within an AI model's internal parameters (weights) without the aid of real-time web search tools.

How the Scoring Works

In the Weights functions by querying a diverse suite of models—including GPT, Claude, Gemini, Grok, and Llama—with prompts asking for descriptions of a specific name. The platform then:

• Clusters similar descriptions to identify consensus.
• Assigns a "strength score" based on the model's ability to recall the individual.
• Highlights potential hallucinations or ambiguities, such as when models struggle to distinguish between people with similar names.

The resulting score provides a comparative metric of one's digital footprint within the "AI brain," offering a quantifiable (and often competitive) look at how different models perceive public figures and creators.

Future Directions and Critique

While some critics argue the tool is simply a wrapper for asking multiple chatbots the same question, the founders intend to use the platform to investigate deeper technical questions. Future development will focus on analyzing model bias, identifying why different models within the same series produce varying results, and discovering individuals who maintain significant real-world impact despite lacking a Wikipedia presence.