Who Owns You?

AI has rapidly become the foundational model for our world, powered by a few large language models (LLMs) and GPTs that act as a "super brain" with extensive knowledge. Despite being trained on roughly 50 years of data generated by six billion connected humans, including our interactions with businesses and governments, these systems understand very little about each of us individually - our preferences, behaviors, patterns, etc. In many ways, these AI systems have become like one beige-colored brain—a blend of the data from diverse experiences and perspectives of all people as one source of truth. In reality, our brains are unique and individual, coming together in real-time when it matters (in meetings, groups, companies, or classrooms) and then going our separate ways.

Source : https://rainfall.one/news/52

So, as much as these super brains have the “cost” of individual privacy violation, intellectual rights issues, and a colossal carbon footprint, are they even the most effective representation of how we live and function in the real world?

If you reflect on this question: “Who Owns You?” Ideally, it should be you, right? Yet, in a world run by AI, the digital representation of each of us—worth trillions of dollars—is mostly owned, controlled, and monetized by a handful of big AI companies. This centralization of AI not only strips individuals of their privacy but also results in significant issues:

1. Exponential Data Collection: Each year, 120 zettabytes of data generated by all of us are inhaled by the big tech platforms that run most of our lives. Much of this data is used to train their centralized AI models. The more data, the better their AI.

2. Massive Carbon Footprint: Large AI systems require massive amounts of computational capability, and this comes at huge cost to energy utilization and ultimately, polluting infrastructure.* Despite these environmental concerns, there's widespread excitement about these technologies.

3. Regulatory Uncertainty: Regulatory frameworks are evolving rapidly when it comes to AI. The most recent announcement by the Biden-Harris Administration on New AI Actions came only last week, while Europe continues to lead on AI regulation. There is also a growing momentum toward a future of data ownership and data privacy that protects individuals. When AI is generated based on our interactions, it might include ideas or work from others, leading to ethical, legal, and societal issues. Regulatory measures will be implemented to provide guardrails for the responsible deployment of AI.

There is both a public sentiment shift toward greater data ownership and privacy and a slew of upcoming regulations (Europe and the US, with other regions to follow) that are making the case for what Rainfall represents – the first Self-Sovereign AI platform. Rainfall’s platform enables privacy-preserving personal AI for each connected human, allowing individuals to generate and monetize the story of their daily lives. Instead of a single, centralized AI, we are building decentralized personal AI for the benefit of all. The Rainfall vision of billions of connected personal AIs that interact with each other in real-time, in context, and with the centralized superbrains when appropriate preserves each person’s privacy and acts as their economic agent so they may earn a daily sustainable income from the value of the relevance of their AI. This is the responsible future of AI and the true meaning of Self Sovereignty.

Rainfall: Self-Sovereign Personal AI

Three principles guide Rainfall’s visionary design of decentralized self-sovereign AI technology:

1. Augmentation: The Kindred Bit

Instead of thinking of AI as something artificial, Rainfall sees it as a way to enhance our lives. The “A” in AI should stand for Augmentation. Humans are kindred beings - our data tells the narrative of not just our lives but the story of the people in our lives. Rainfall’s AI generates a Kindred Bit for each individual, the abstracted intelligence representing the daily narratives of life and acting as an agent to monetize this intelligence. The Kindred Bit transcends traditional digital representations by embodying a proactive self-sovereign identity, acting with a profound understanding of our preferences, beliefs, and behaviors. The Kindred Bit leverages the vast amounts of data we generate, transforming it into an instrument for personal empowerment, ensuring digital interactions are not mere reflections but active extensions of will and essence, navigating the complexities of the digital realm with precision and intent.

2. Self-sovereignty: Own Your Data and Your AI

Self-sovereignty means everyone should control and benefit from their data. In a world where data is crucial, Rainfall envisions a model where individuals control their data and the AI that represents them. Rainfall's self-sovereign personal AI operates on a responsible, decentralized model, ensuring that personal data remains private. This approach reduces the risk of data breaches or unauthorized access, providing a layer of security sorely lacking in centralized systems. It's about creating AI that represents and enhances each person. The information we create makes that AI work, and it should stay within our control and ownership.

3. Commons AI: Shared Benefits

The concept of "Commons AI" suggests that the benefits and governance of AI are shared by everyone instead of a small number of companies monopolizing its advantages. Rainfall envisions a more inclusive model with widely distributed economic and social benefits. This approach seeks to avoid concentrating power in the hands of a few and aims for a more equitable distribution of AI's positive impacts.

Rainfall’s platform adheres to all three principles, creating the first privacy-preserving self-sovereign personal AI platform. Here’s how it works:

1. Personal Data Use: You generate data daily from your devices, including location, activity, social media, browsing, transactions, health, and more.

2. Personal Intelligence Model: With your permission, Rainfall uses advanced AI on your device to create a personal intelligence model, providing real-time insights about your behavior.

3. Benefit to Businesses: These insights help businesses understand and serve you better. They also save businesses the cost of collecting, encrypting, storing, and protecting their customers’ data. In addition, potential risks associated with data hacks are eliminated while adherence to data protection requirements is provided.

4. Benefit to Users: When businesses buy the intelligence derived from your data, 85% of the payment goes back to you, the data owner, ensuring that data remains private and individuals benefit financially.

5. Privacy and Ownership: Personal data never leaves your device (your PII–personally identifiable information–always stays on your device), keeping you in complete control and emphasizing that data ownership is a fundamental human right.

6. Responsible Economy: Our economic model benefits every participant with an equitable value exchange and sustainable income. Billions worldwide, everyone from tech users in New York to individuals in remote villages, applicable globally even in challenging conditions, can access a universal daily income.

Built on a fully decentralized architecture, Rainfall is more eco-friendly and has a lower carbon footprint than centralized LLMs, as the AI runs entirely on your device. We combine privacy, data ownership, and financial benefits, creating a new way for individuals to earn from their daily digital activities - like a Universal Earned Income.

In Summary

Rainfall fosters a responsible economy of abundant intelligence for everyone by unlocking the full value of our data. Our self-sovereign personal AI rewards you for your data. It's about recognizing and encouraging positive choices using technology responsibly to benefit everyone, not just a few.

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*As an example: ChatGPT, as the leading Generative AI platform, currently emits 870 metric tons of CO2 yearly based on its usage by approximately 180 million people, a number that is growing daily. The environmental impact extends beyond CO2 emissions. For instance, GPT-3 requires 700 thousand liters of water for cooling, equivalent to producing 370 BMWs. Every time you use tools like ChatGPT, it consumes 500 milliliters of water.