Problem

The current landscape of longevity research and AI-driven health recommendations faces several challenges:

  1. Lack of transparency: Existing AI models like ChatGPT are closed-source, making it difficult to verify their inputs and outputs.

  2. Vulnerability to manipulation: Commercial interests can influence scientific data and research outcomes, potentially compromising the integrity of longevity science.

  3. Censorship and bias: Many AI systems are susceptible to censorship and may not prioritize truth-seeking.

  4. Limited accessibility: Advanced longevity research and personalized health recommendations are often only available to the wealthy.

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