htrayl

Im not so sure. I think this is more of a question about taking arbitrary, undefined, or highly variable unstructured data and transforming it into a close approximation for structured data.

Yes, the pipeline will include additional steps beyond “LLM do the thing”, but there are plenty of tools that seek to do this with LLM assistance.

For mobile: there isn’t a widget to create a note from a template.

There are plenty of studies displaying improved cardiovascular health in those who drink 1-4 cups of coffee a day.. Generally, cardiovascular risks of caffeine from coffee are not important for the average person’s health decisions.

In addition, there is a good argument for caffeine prior to exercise - it improves performance and therefore results and therefore health outcomes.

Also tea has caffeine as well (technically dark chocolate too, but less than tea so not really a concern).

And again, the solution to sleep issues are to not have caffeine (tea, coffee, or otherwise) more than a few hours after you wake up.

Withdrawal symptoms are not a major concern - they are temporary at best.

Edit: there are plenty of sources of polyphenols - but frankly the average American does not get nearly enough generally. If you have a typical American diet, I would not recommend quitting coffee as a health measure unless you have already drastically increased consumption of polyphenols generally.

Coffee also is high in polyphenols - the benefits almost certainly outweigh the drawbacks. Just don’t drink coffee after the morning.

If you mean “point and click” level of proficiency, sure.

Meh, maybe 10% of a single generation at most know how to use computers. Technically savvy millenials vastly overestimate how technically savvy other millenials are.

The body positive movement is a non-variable in practice. This is simply a continuing trend of decades of poor diet and little movement.