“glucose monitor. I'm not diabetic, you know, but I want to see every minute or every five minutes what my sugar levels are in a continuum. Or if I eat something, you know, is it spiking? Is it coming down?”
“10 of them, 20 of them, only if we get sick, not even for a checkup. So, we have to have a continuous, like a glucose monitor. I want to see what my, you know, proteins are changing, hormones are changing, you know, in a reasonably continuous manner.”
“So automatically, it's going to add several years or maybe 10, 15 years to your life. Or we're already starting to see that with the GLP-1 drugs receptor agonist, which are adding about five to 10 years to lifespan of people who are obese or have chronic conditions, will have sort of the muscle generators, which I think will have tremendous impact.”
“You know, another example is this glucose meter that I have. You know, every five minutes it shows my glucose level and then I take that data. And of course, I put it to chat GPT.”
“Well, that's exciting. Memory is everything. So how long are we talking? Like, let's say, you know, you started a vitamin D supplement six months ago. You have the same window and you start in that window. You have that, you know, entry point, the date.”
As referenced on air, with the quote and the moment. Reported, not evaluated.
“i think google uh did a recent study uh in fact a science paper came out recently which was done with o1 preview model which is a very old model...and they found that o1 model uh did did better than average doctor in diagnosing like significantly better they didn't miss”
“google uh did a recent study uh in fact a science paper came out recently which was done with o1 preview model which is a very old model i mean the current models are probably 10 times or maybe more”
“If you have that data somewhere in your database, for example, I adapted a technique that Karpathy, who's a famous AI researcher, described.”