Eternal Youth: Harnessing AI to Combat Aging

0:00What can 160 years of experience teach you about the future? When it comes to protecting what matters, Pacific Life provides life insurance, retirement income, and employee benefits for people and businesses building a more confident tomorrow. Strategies rooted in strength and backed by experience. Ask a financial professional how Pacific Life can help you today. Pacific Life Insurance Company, Omaha, Nebraska, and in New York. Pacific Life and Annuity, Phoenix, Arizona. I was recently listening to a podcast and the host on there were talking about, you know, if it was possible to, I believe it was the all in podcast.

0:36And the hosts were talking about if it was possible to slow down the rate of AI. They were talking about different prominent figures who requested a six month, you know, ban on AI progress beyond GPT-4 and etc. etc and they were talking about the fact that um apparently there is a group of people that view ai as the ability to um discover how we're going to slow down the aging process or you know for them so you know some people are like for immortality or whatever you'll you'll never die um but in any case there's this group of people that believe in that and because of that they are predominant big players in the industry and they're not going to let anything happen to slow down AI because they kind of view it as their ticket to live forever or slow down aging forever essentially.

1:27So that caught my attention. I was like, oh, interesting concept. I didn't look into it very much. But I recently saw an article published today out of Northeastern Global News called Can AI Help Scientists Slow the Aging Process? And I want to talk about that concept. There's a few different articles I read and some research I've done on what AI is currently being used for as far as science, how it's disrupting the scientific community, and what advancements will be made in the future. So first off, I think there's some interesting news that recently the Allen Institute for AI is currently working on creating an open generative AI language model.

2:09They're saying, you know, this is by scientists for scientists. And something that I thought was pretty interesting about this is the fact that they are planning on releasing this, you know, science GPT or whatever it's going to be called in the in early 2024. And I think with all of the advancements that we see in AI and in technology right now, it's advancing so rapidly, I still think it is something that is, we're still on the very early cusp of there was a recent report where they did a poll. And I think it found that about only 30 % of American adults had heard of ChatGPT. And only 10 % of adults had viewed ChatGPT as a reliable piece of information.

2:53So if only 10 % view it as a reliable source of information, obviously, there's a lot of work to be done. And we have a lot of disruption and innovation that's going to happen as that number gets larger and larger. And eventually, you know, these things get good enough that 90 or 80 % of people view this as a reliable source of information, that's going to enable massive disruption. Additionally, you know, when 30 % goes to 100 % or 90 % or 80 % of adults that know what these AI tools are, Chai GPT and others, that's going to have massive disruption. And so I only bring that up to say, I believe that, you know, while some people think like, oh, man, you know, ChaiGPT came out, like if I want to get started in AI, I'm so far behind, there's all these massive companies doing these major things.

3:37I believe we are in the Wild West, the very, very early days. And, you know, evident by that is the fact that the Seattle's Allen Institute for AI is not going to be releasing their new scientific LLM till early 2024. And I think we're going to as the, you know, this time next year, things will be completely different as AI has, I believe, will proliferate every industry in every field. As some of these industries that are kind of traditionally known for going slower, like science, come to fruition, and some of these tools become big players there, I really think that we are going to start seeing the proliferation of AI into everything we do.

4:20And so it's pretty interesting. Essentially, what they're doing with this tool right now is that they're going to be building it on 70 billion parameters of scientific data that they're able to create. They said that with the scientific community in mind, OLMO will be purpose-built to advance the science of language models. And the project apparently has a senior director who's a researcher at AI2, and they said that it will be the first language model specifically designed for scientific understanding and discovery. And I think that's really important because we have other models right now. This one specifically focuses on discovery, which is kind of the cash cow, right?

5:05These pharmaceutical companies, a lot of other companies want this kind of scientific discovery model that can help them to, you know, create new compounds, new vaccines, new medicines that they can patent and make a lot of money from. So I think this is going to be a very lucrative field. I do think it's interesting, though, that just in general, when I think of science, I do think of a lot of really rigorous testing and bureaucracy that kind of goes behind a lot of industries around that. And so it doesn't surprise me that this tool is not slated to come out till early next year. Obviously, they're taking their time with it.

5:43They have a lot of interesting features, I guess they'll say. One of them is, you know, they're concerned by how much electricity chat gpt used so they said they're going to try to make it one of the greenest supercomputers in the world um they said that uh they said that to produce something explicitly designed for scientists and researchers to engage with and learn from and use to create the next generation of safe effective ai technologies um i really think that they're they're kind of focusing on a bigger picture they're taking their time they're being slower with it. And perhaps that's because of the industry they're in.

6:19And I wonder if number one, they'll get beat by someone that goes faster, or if number two, that's just the speed of this industry. And if so, what other industries are slower when it comes to these kind of adaptations? And so as we think like, oh my gosh, you know, all this stuff is coming out and I'm getting left behind. You know, in our Facebook group, I recently heard from someone who is in the construction industry, they weren't 100 % sure what they were going to use chat GPT for. But they were like, I know this is kind of the future of where everything's going. So I'm jumping in and learning everything I can about it.

6:49An industry like construction may be one that is slower to incorporate a lot of different AI techniques and tools and software, right? It's not like a super software heavy industry, per se, obviously, there's a lot of construction software out there. But, you know, since that's not the nature of what the business is actually doing as a function. And so I believe that given the next, the next few months, and the next year, we're going to see massive proliferation into all of those different industries. So going back to the idea of, you know, slowing down aging with AI, which I think is a really interesting concept.

7:23In a recent, in a recent interview with some researchers and pharmaceutical companies that were that are kind of continuing this search of, you know, using AI, there was a man by the name of Harrion who said, I think aging is the emperor for all maladies. And he said that aging is the single biggest risk factor for developing any one of, you know, a number of different diseases, including heart disease, Alzheimer's, cancer, and a number of different things. And so they, you know, him and a lot of other different scientists are currently putting AI to the to the test trying to use it to figure out ways to slow down human learning I mean human aging it's pretty interesting to look at you know what what the what they're currently doing with it I think the main areas are that they first so the main the three main tools that they're that they're currently working on developing the first is to use the data in like predicting a predictive analysis kind of a way, which essentially is going to allow researchers to see what's going to happen in the next in a pattern of data.

8:37So they're going to be able to use this AI to help generate predictions on what different medicines, what different remedies, what different routines will have on a person's ability to age or slow an aging process. The second thing it's going to be able to do is that they're currently working on kind of creating a hub of research on longevity medicine, which is designed to allow users to essentially summarize different key studies and ask questions on what medicines are most effective to do certain things. And just given the vast amount of data that you can now feed into some language models, we're looking at Anthropics' new clod model that is now allowing people to upload 75 ,000 words, you can upload massive amounts of data and now start to cross-analyze different effects of medicines, different research studies, feed it a lot of data, and get some very interesting responses.

9:37The third thing that in this longevity study they're currently working on developing is finding, is using it to help them develop new drugs. So a researcher can, you know, narrow down a list of the best molecule candidates for potential drug from a list of you know millions with the help of ai and so the tools are developing are going to help them to be able to suggest you know the molecules that are going to work best in creating drugs and in creating compounds that you know allegedly will help us slow down aging so i think it's going to be really interesting to see how this goes um harahan said that instead of completing a sentence it can complete the structure of a molecule, right?

10:20Talking about AI. So we're all used to asking it questions and getting, you know, a sentence or getting it to respond. But biologists and scientists right now are looking at how to use that same technology, that same transformer model to predict the structure in a molecule that would be best to help do that. Something interesting, an interesting concept I did read that they brought up was the fact that, you know, measuring age in the same way that we use a thermometer to measure temperature or some tools to measure blood pressure. It is not something that exists at the moment, but it's something that they're currently developing.

10:56And so that will be really interesting. You know, you don't have to write down your age at the anymore. They're going to have tools that will be able to measure your age based off of AI, which I think is going to be really interesting. And if I were to guess how they're going to do that, I'm assuming they would take a bunch of different data sets about people and including like biometric like right you could probably just take a picture of a person say a bunch of different things about them their age race or another age their their race their a whole bunch of different like pieces of data you have about them take the picture and then train it through a neural network and say boom this is the age and I bet you if you train enough I bet you could use that to train an AI to be able to just look at a person and detect their age.

11:41So that's going to be interesting to see how that comes to fruition and what the different ways that this AI is going to be helping in science and medicine and if it is indeed going to help scientists slow the aging process.