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Comment by seer | Hacker News Reader

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Exactly - I had switched to a one meal per day setup and have been mostly following it for a few years.

Then after a routine “heart health” check all my indicators were super out of whack - the doctors thought I was on my deathbed - but I am perfectly happy pain free, in shape, physically active person…

Then _i myself_ had to dig into all these tests and figure out that they were measuring the wrong thing - since they try to time where your body is “just about to eat after a fast” - normally for most people in the morning before breakfast, but since my first meal of the day is usually around 20:00 - my body had adopted to have higher levels of various things just to stay on top of my lifestyle choices.

Anyway I had to educate some doctors since they haven’t really had a case like mine, so they weren’t thinking critically of how to interpret the results…

I imagine an automated test _could_ take these things into account with large enough dataset, but it would need to do a lot more reasoning than statistical correlation.

I do believe current sota models should be good enough to come to the correct conclusions with the right harness though.

Reminds me that a few years ago my wifes grandfather (80+) was wondering if he should cut back on the amount of exercise he was doing. He would regularly be knocking on our door at 6am to see if one of us would want to got for a quick 10k run or to hit the gym.

He was a firefighter in NY in his youth and had never stopped exercising even after retirement.

He went to his GP explained his workout routine and was basically told there is no precedent for it as people his age tend to not be running 10km a day. In short he was told if you're not in pain or fatigued keep at it.

I think he's nearly 90 now and has cut back the running to only a day or so a week, but last time we went to visit he was in his garage bench pressing 50kg

Sorry to branch out: How does this one meal per day work for you? There is recommended calories for a person, do you have to follow it somehow to make sure you have enough energy and exercise?

One meal ... many snacks?

I just eat double portion at dinner, and then nibble on snacks before bed - I haven’t had breakfast in decades, then since I moved to India, with the carby nature of the food it was hard to stay in shape with 2 meals, so I decided to try and skip the lunch too. With fun work it is actually quite easy, and babysitting 4 claudes and helping out colleagues is very entertaining.

Now I either do gym before dinner (heavy exercise) or social dance after.

I’ve been given a lot of advice how I “should” be structuring it - like “don’t eat too much before bed” or “never eat before exercise” … but I haven’t had any issues with what I’m doing so far (~2 years)

What parameters were higher than expected? The critical ones, glucose, electrolytes, lipids should stay low when fasting.

If the current state is anything to go by, an automated test would not only flag your out of distribution results but try to gaslight everyone reading its output with additional false indicators to map you into an area that's in distribution. Statistical models cannot accept the existence of extremely rare edge cases.

Modern LLMs routinely beat human doctors at diagnosing "extremely rare edge cases".

They have unmatched breadth of knowledge by default, and can maintain attention across entire medical histories.

Citation very much needed.

https://www.reddit.com/r/ChatGPT/comments/1iz4iwm/chatgpt_is...

or

https://www.reddit.com/r/ChatGPT/comments/1oesnix/chatgpt_di...

or if you prefer from this site,

https://news.ycombinator.com/item?id=43171639

and

https://news.ycombinator.com/item?id=42999632

If you were looking for a published paper or something more official though, I don't have one.

Maybe something that isn't completely censored anecdata? At best these fall into "well known diseases with obvious symptoms that overworked, incompetent, or simply sexist, human doctors missed" and not actual rare cases.

anecdotes aren't citations.

> Modern LLMs routinely beat human doctors at diagnosing "extremely rare edge cases".

There is a selection bias here. Not saying it wouldn’t work, but right now you hear about exceptional cases, not when the LLM wants to amputate for a wart.

We all work with LLMs, right? It hasn’t been long at all since an LLM gaslit me while attempting to recover an unbootable laptop. I should have been recommended a few simple steps to try; instead, it was unable to ignore the irrelevant details and led me on an hours-long chase. To me that means the LLM will also struggle to ignore irrelevant medical information.

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