Onix on Uncover Your Eyes: What AI Gets Wrong About Your Health

Onix co-founders David Bennahum and Nicholas Nadeau joined Dr. Meenal Agarwal on episode 119 of her Top 3 medicine podcast, Uncover Your Eyes, for a conversation about trusting AI with your health. It is out now.

Dr. Agarwal, a Doctor of Optometry and one of the experts building a Guide on Onix, opened with an analogy that stuck: today’s AI is a lot like processed food. It is convenient and it arrives with confidence, but once a model aggregates and homogenizes its inputs, you lose track of the source. In personal health, that missing context is exactly where the risk lives.

The conversation digs into three questions:

• Why mainstream AI struggles with the nuance of healthcare
• Why understanding context matters more than producing an answer
• What a genuinely trustworthy health AI actually requires

A generic model answers everyone the same way, because it knows nothing about anyone. Real guidance depends on context: your history, your body, and the expert you actually trust. That is the difference between an answer and the right answer for you.

— David Bennahum, CEO and Co-founder of Onix

These models are not failing because they are not smart enough. They are built to sound authoritative about a person they have never met. Onix is built the other way around: high-fidelity models grounded in a specific expert and in your own context, private to you.

— Nicholas Nadeau, CTO and Co-founder of Onix

Listen to the full episode on Substack, Apple Podcasts, or YouTube. To meet the experts building Guides on Onix, visit onix.life.