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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

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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?
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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)

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One meal ... many snacks?
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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.
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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.

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Citation very much needed.
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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.
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> 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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