Your Data,
Your Rights
Why Users Should Control and Profit from Their Own Digital Footprints
How AI Companies Get Rich Off Your Thoughts
While You're Locked Out of the Value You
Created
The Great Data Paradox: Your thoughts are valuable enough to power billion-dollar AI companies, but not valuable enough for you to control or profit from.
Every day, millions of users pour their thoughts, expertise, and creativity onto platforms like X (formerly Twitter). They share insights about their industries, answer questions, engage in debates, and collectively build one of the world's largest repositories of human knowledge and discourse.
Yet when AI companies harvest this data to train models that power $20/month ChatGPT subscriptions or enterprise AI tools worth billions, the original creators see none of the profits.
Meanwhile, these same users can't easily access, control, or monetize their own contributions. Want to download your complete X data? You get a limited export. Want to sell access to your own posts? That might violate the terms of service. Want to create a chatbot trained on your expertise? You'll need to manually copy-paste years of your own content.
The Current Broken System
Under X's current terms, users retain ownership of their content but grant the platform an extraordinarily broad license. This license allows X to:
- Use your content for training AI models
- Share your data with other companies for "improving services"
- Distribute your content across any media, now or in the future
- Do all of this without paying you a cent
The platform then turns around and licenses this data to AI companies in bulk deals worth millions. Your witty observations about your industry? Your thoughtful threads explaining complex topics? Your years of accumulated wisdom? All of it becomes training data for models that charge users monthly subscriptions to access synthesized versions of knowledge you helped create.
Cast Your Vote with Your X Account
Take control by choosing exactly how your X data should be used. By voting, you authorize third-party access according to your choices and join the data liberation movement.
What happens when you vote:
- • Your vote choices are recorded and associated with your X account
- • You authorize our service to access your X data according to your selected permissions
- • Third-party applications can check your authorization status and access your data accordingly
- • You can revoke access at any time through your dashboard
What Users Deserve: True Data Ownership
Imagine a different world—one where users actually control their digital contributions:
Personal AI Assistants
You should be able to create a chatbot trained specifically on your own posts, replies, and expertise. Imagine having an AI assistant that understands your writing style, remembers your professional insights, and can help you draft content that sounds authentically like you. This is your intellectual property—you should own the AI trained on it.
Community Knowledge Bases
Groups of users should be able to pool their data consensually to create specialized AI models. A community of developers could create a programming assistant trained on their collective discussions. Medical professionals could build diagnostic aids from their anonymized case discussions. Academic researchers could develop field-specific tools from their scholarly exchanges.
Selective Data Licensing
Just as you choose who can see your private posts, you should control who can train AI models on your content. Want to share with non-profit research? Opt in. Prefer to keep your data away from certain companies? Opt out. Believe your expertise is valuable enough to charge for? Set your price.
Revenue Sharing
If your data helps train a commercial AI model, you should get a cut of the profits. The current system where platforms capture 100% of the value from user-generated data is unsustainable and unfair.
The Technology Exists
None of this is technically impossible. We already have:
- Personal AI training: Tools like GPT fine-tuning can create personalized models from individual datasets
- Federated learning: Technology that allows AI training across distributed data without centralizing it
- Blockchain-based licensing: Systems for tracking data usage and automatically distributing payments
- Privacy-preserving AI: Methods to train models while protecting individual privacy
What's missing isn't technology—it's the will to change a system that currently benefits platforms and AI companies at users' expense.
Real-World Applications
Consider the possibilities:
For Professionals: A marketing consultant could create an AI trained on their successful campaigns, licensing it to clients or selling access to their strategic insights.
For Educators: Teachers could develop personalized tutoring bots trained on their most effective explanations, helping students even outside class hours.
For Communities: Medical support groups could create AI counselors trained on their collective experiences, providing 24/7 peer support to new members.
For Creators: Writers could develop AI assistants that help with research and drafting, trained specifically on their style and expertise.
The Path Forward
We need platform policies and regulations that recognize users' rights to:
- Full data portability: Complete, machine-readable exports of all user data and interactions
- Granular consent controls: Ability to approve or deny specific uses of personal data
- Revenue sharing: Fair compensation when personal data contributes to commercial AI models
- Third-party tool access: APIs that allow users to train personal AI models on their own data
- Community data pooling: Systems for groups to consensually aggregate their data for shared AI development
Why This Matters Now
As AI becomes central to how we work, learn, and communicate, control over training data becomes a fundamental economic and creative right. The current system creates a new form of digital feudalism: users as serfs generating value for AI lords who own the means of production.
But it doesn't have to be this way. The knowledge economy should benefit those who create the knowledge. Your insights, your creativity, your expertise—these have value. And in a fair system, that value should flow back to you.
Taking Action
The conversation is already starting. Some platforms are experimenting with user compensation models. Governments are considering data rights legislation. AI companies are facing pressure to be more transparent about training data sources.
But real change will require users to demand their rights collectively. We need to:
- Advocate for stronger data portability laws
- Support platforms that offer fair revenue sharing
- Demand transparency about how our data is used in AI training
- Build tools that give users control over their digital contributions
Your thoughts, your data, your rights. It's time to take them back.
How Data Liberation Works
Vote & Authorize
Cast your vote and connect your X account through secure OAuth with custom scopes based on your choices
Control
Manage which third-party applications can access your liberated X data according to your vote preferences
Freedom
Your vote is recorded and your data works for you across multiple platforms according to your authorization
Vote & Control
Your data belongs to you. Vote on how it should be used and authorize specific access levels.
Granular Authorization
Your vote determines the exact X API scopes requested, giving you precise control over data access.
Secure & Transparent
Your vote is recorded, your authorization is transparent, and your data freedom is secure.
Ready to Vote and Take Control?
Join the movement for data liberation. Cast your vote and authorize your X account to start controlling how your data is used.
Secure OAuth authorization with custom scopes. Read our Terms of Service and Privacy Policy