# The Problem ## AI Has Run Out of Internet Every leading AI lab has now confronted the same wall: the public internet is finite. Trillions of tokens of text and tens of billions of images have already been scraped, cleaned, and trained on. The marginal new web page is no longer making the next model meaningfully smarter. The next frontier is the **physical world** — what humans see as they move through it, how environments change, how objects behave, where things actually are. World models, robotics policies, autonomous agents, AR systems, and spatial AI all need this data, and almost none of it exists at the scale and freshness modern AI demands. *** ## The Capture Is Already Centralized The first wave of consumer eyewear — Meta Ray-Ban, Snap Spectacles, Apple Vision Pro, Rokid, XReal — is producing first-person video at a growing rate. But every frame flows into closed corporate pipelines. **Users do the walking; platforms book the value.** This is the same pattern that played out with search, social, and ride-sharing: the contributor is the product. We believe the next data layer should not repeat it. *** ## What's Missing Today, a serious buyer of real-world vision data — an AI lab training a world model, a robotics company building a policy, a mapping platform refreshing its base layer — has three options, and all of them are bad: * **License from incumbents** who hoard their own data and price it as a moat. * **Hire crews** to capture footage at unit costs that scale linearly and never reach global coverage. * **Scrape the internet** for low-quality, undated, geo-uncertain video. There is no neutral, verifiable, globally distributed source of fresh first-person vision data. **That is the gap Clawglasses is built to fill.** --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://clawglasses.gitbook.io/clawglasses-docs/introduction/the-problem.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.