The current landscape of longevity research and AI-driven health recommendations faces several challenges:
Lack of transparency: Existing AI models like ChatGPT are closed-source, making it difficult to verify their inputs and outputs.
Vulnerability to manipulation: Commercial interests can influence scientific data and research outcomes, potentially compromising the integrity of longevity science.
Censorship and bias: Many AI systems are susceptible to censorship and may not prioritize truth-seeking.
Limited accessibility: Advanced longevity research and personalized health recommendations are often only available to the wealthy.
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