Overzealous Safety Filters Stifle Personalized Health AI as a Big Tech Moat
earonesty · reddit · 2026-07-24
The author points out that public health guidance often relies on broad averages incorporating high-risk subgroups, which frequently underperforms or backfires for responsible individuals. Personalized AI health tools could mitigate this by factoring in user-specific context, but due to lobbying and strict safety alignment by major labs like OpenAI and Anthropic, these tools are being declared "Unsafe."
The author argues that the "Unsafe" label has become a market-access mechanism rather than a technical or statistical description. Once attached, it propagates through app stores, cloud providers, payment processors, and enterprise procurement. Ultimately, compliant models become the only commercially acceptable choice, creating a "moat" for Big Tech. If deviating from institutional consensus is deemed dangerous, individualized reasoning loses, reverting medical advice to a state of "bad advice for you, but good advice on average."
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