> For the complete documentation index, see [llms.txt](https://mirra-ai.gitbook.io/mirra-ai-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mirra-ai.gitbook.io/mirra-ai-docs/overview/manifesto.md).

# Manifesto

### Rewarding the data contributors fueling the future of digitized knowledge.

<figure><img src="https://483884447-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FLGoLGYe3oMWaeeauexIU%2Fuploads%2F5CBWkwfwlEuc39qHDkBI%2FScreenshot%202025-08-13%20at%2016.08.27.png?alt=media&amp;token=2134e664-e7db-4213-974d-b742b5dc33ff" alt=""><figcaption></figcaption></figure>

Data and digitized knowledge is at the core of most advancements happening in the past two decades.&#x20;

While AI is a disruptive technology, problems start to surface that AI is free-riding on “stealing” content creator’s expertise and knowledge.&#x20;

Those who possess insights and knowledge are increasingly unwilling to share their knowledge publicly for fear of being “stolen” by AI models.&#x20;

Those who contribute great insights were not being compensated fairly for the revenue generated by the AI model trained on their insights.&#x20;

Creating a landscape where individuals are demotivated and demoralized to give great insights.&#x20;

The key gaps we are trying to close in the AI economy are:

* The absence of a seamless, intuitive way for knowledge creators and curators to receive compensation, especially without dealing with the complexity of traditional banking systems
* The limited ability for communities, rather than just large corporations, to contribute to, and benefit from, the datasets powering AI products
* And the lack of mechanisms to ensure that knowledge creators are rewarded when AI generates revenue from their expertise and insights

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Want to learn about writing content from scratch? Head to the [Basics](/mirra-ai-docs/coming-soon/editor.md) section to learn more.
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