# Privacy AI Is Possible
Because of privacy concerns, I have been reluctant to use LLMs. I started experimenting in 2023 because I realized this is going to come either way - and I can make use of it...
The current AI development is dominated by actors who can afford scaling, locking innovation behind capital, infrastructure, and centralized power. This leaves little room for individuals and communities who want to build competent models but cannot compete with Wall Street’s “scale is all you need” doctrine.
What we need are decentralized AI systems that are built collectively, owned collectively, and designed from the ground up to ensure user privacy.
Both the model architecture and the training data should be fully transparent, while the model weights could be monetized to reward contributors.
This creates a transparent, community-driven free-market ecosystem, where users decide which projects to fund and support, aligning incentives with innovation.
What we need are decentralized AI systems that are built collectively, owned collectively, and designed from the ground up to ensure user privacy.
Both the model architecture and the training data should be fully transparent, while the model weights could be monetized to reward contributors.
This creates a transparent, community-driven free-market ecosystem, where users decide which projects to fund and support, aligning incentives with innovation.
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