For people asking about the correct Epitalon dosage - no one knows.
When Khavinson started his studies in Russia, he was testing the hypothesis that pineal gland extracts worked in humans. He used a specific extraction process and obtained a mixture of amino acids. He called that mixture Epithalimin.
He administered 10 mg of Epitalimin for 10 days to different patients etc, and those studies lasted 6–15 years.
During the course of those studies, his team isolated the active ingredient of epitalimin, which is epitalon.
And that was administered at 1000 times less.
So 10 ug per day for 10 days of epitalon was equivalent to the 10 mg epitalimin studies.
But his multi year studies were still ongoing with the pineal gland extracts, so he didn’t change those. But regardless, the dosing for peptides is not really known.
@pitdesi i assume this is one of the things the labs need to spend $10-50 million in tokens for and then publish their results as something researchers should look at. I haven't seen anything like that.
Why haven’t we seen any useful breakthroughs in everyday health and nutrition from LLMs/AI?
AI has made great progress in math and essentially solved programming.
Nutrition /health could benefits from wet labs and real-world research. But there’s already a huge body of published research. You’d think LLMs could connect findings across studies to identify potential treatments and propose new experiments.
My guesses:
Too much health and nutrition research is garbage: bad data, weak methods or outright fraud. Maybe the LLMs struggle to tell what’s reliable?
The AI labs may not be putting money into this kind of work because they are run by young people who care more about programming and math?
@pitdesi There is 100 years of data from nutrition + health research, the AI could take data from these various studies and extract ideas for things that are likely to work from there. It has barely done any of that.
@ferenstein we do have a lot of studies like the predimed study (https://t.co/iTA90uXflh), and the various types of studies we used to find out that lead is toxic, etc. but i agree with your point - it may just all be too small for AI
I still find it kind of staggering that 90% of all coding work done the last 50 years was kind of effort because a machine could write it now in 1/10,000th the time.
Surprised more engineers aren't having an existential crisis.