I’m long major changes in the food industry and the average diet as a direct result of AI. 

Reasoning: 

+ easily ask an AI agent to assess a given food’s ingredient/source (summarize the complex table on the back) 

+ personalized and dynamic meal planning that makes it way easier to optimize for a certain goal. 

+ automated purchasing as a result of both of the above. 

+ existing tailwinds outside of AI with longevity focus

The right agent should be able to maximize taste/nutrition per $ spent. 

taking into account personal preferences, local availability, cooking difficulty (if not buying elsewhere) and a given nutritional goal. 

It’s a well established field but is a lot of manual work which is why it’s a great candidate for AI.

How do you ensure it doesn’t make some kind of gross large scale error like the food pyramid grain servings was? It’s not that people could necessarily do better, but it seems like the ai could gloss over aggregated errors and be bad long term.