As AI assistants increasingly become a primary source of information, a new platform called In the Weights is offering a unique way to measure digital recognition in the age of artificial intelligence.

Created by former OpenAI employees Thomas Dimson and Joey Flynn, the tool evaluates how well major AI models can identify and describe a person without relying on traditional web search engines.

The project introduces a new concept known as “being in the weights” a reference to the numerical parameters inside AI models that store learned information during training.

What Is In the Weights?

In the Weights functions as an AI-centric search engine focused entirely on personal recognition.

Instead of checking Google search results, the platform asks multiple AI models a simple question:

“Who is this person?”

The system then collects responses from leading AI models including:

  • GPT
  • Gemini
  • Claude
  • Grok
  • Llama
  • Other open-source language models

The platform compares the answers, groups similar descriptions together, and assigns a strength score that reflects how confidently AI systems recognize that individual.

According to the creators, the goal is to understand how deeply a person’s identity has been embedded into modern AI systems.

How the Scoring System Works

Every searched name receives a recognition score based on how consistently AI models identify and describe that individual.

Higher scores indicate stronger recognition across multiple models.

The platform also highlights:

  • Which AI models recognized the person
  • Confidence levels of responses
  • Potential AI hallucinations
  • Differences between competing AI systems

This creates a unique snapshot of how various language models “remember” people.

Why the Platform Was Created

The founders say the idea emerged from a changing internet landscape.

For years, people relied on Google searches to understand their online presence. However, as AI assistants become more widely used, many users now learn about public figures, creators, entrepreneurs, and professionals through chatbots rather than traditional search results.

The creators wanted to explore a new question:

If AI becomes the primary gateway to information, how visible are you inside those systems?

The result is a platform that turns AI recognition into a measurable score.

A New Form of Digital Reputation

In the Weights highlights an emerging shift in how online influence may be measured.

Traditional metrics include:

  • Google rankings
  • Social media followers
  • Website traffic
  • Search visibility

The new platform introduces another metric:

AI Recognition.

As large language models become more integrated into search, productivity tools, and digital assistants, visibility inside AI systems could become increasingly valuable for creators, businesses, researchers, and public figures.

Not Everyone Is Convinced

While many users find the platform entertaining and insightful, some critics argue that it simply aggregates chatbot responses and turns them into a leaderboard.

Others question whether recognition by AI models should be considered meaningful at all.

Despite the debate, the project has attracted significant attention online, with users comparing scores and exploring how different AI systems describe them.

The Future of AI Search

The creators say they plan to expand the platform with deeper analysis, including:

  • Comparing biases across AI models
  • Identifying public figures underrepresented in AI systems
  • Studying differences between model generations
  • Exploring how AI memory evolves over time

As AI becomes a larger part of everyday information discovery, tools like In the Weights may provide a glimpse into a future where digital reputation is measured not just by search engines, but by artificial intelligence itself.

Final Thoughts

In the Weights represents a fascinating experiment at the intersection of AI, identity, and online visibility. Whether viewed as a fun curiosity or an early indicator of future search behavior, the platform reflects a growing reality: people are increasingly discovering information through AI assistants rather than traditional search engines.

As the influence of large language models continues to grow, understanding how AI systems perceive and recall individuals may become an entirely new dimension of digital presence.

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