EP #39 Should We Be Fearful of Artificial Intelligence? The AI Panel w/ Emad Mostaque, Alexandr Wang, and Andrew Ng

In this Ask Me Anything session during this year’s Abundance360 summit, Andrew, Emad, Alexandr, and Peter discuss how the world will change post-A. I explosion, including how to reinvent your business, your skills, and more. You will learn about: 03:39 | How Do We Educate On New Technologies In Our Changing World? 15:22 | Is There Any Industry That AI Will Never Disrupt? 28:27 | Will The First Trillionaire Be Born From The Power Of AI? Emad Mostaque is the Founder and CEO of Stability AI, the company behind Stable Diffusion. Alexandr Wang is the world’s youngest self-made billionaire at 24 and is the Founder and CEO of Scale AI. Andrew Ng is the Founder of DeepLearning. AI and the Founder & CEO of Landing AI. > Try out Stable Diffusion > Visit Scale AI > Learn AI with DeepLearning. AI _____________ I only endorse products and services I personally use. To see what they are, please support this podcast by checking out our sponsor: Use my code MOONSHOTS for 25% off your first month's supply of Seed's DS-01® Daily Synbiotic: seed.com/moonshots Levels: Real-time feedback on how diet impacts your health. levels.link/peter _____________ I send weekly emails with the latest insights and trends on today’s and tomorrow’s exponential technologies. Stay ahead of the curve, and sign up now: Tech Blog Join me on a 5-Star Platinum Longevity Trip at Abundance Platinum _____________ Connect With Peter: Twitter Instagram Youtube Moonshots and Mindsets Learn more about your ad choices. Visit megaphone.fm/adchoices

Speaker names marked ? are inferred from speaking time and the show’s known hosts — they are not voice-verified.

• 0:00Speaker 00

  Buy smart, drive for less and trade for more. That's Toyota Fortability. And it starts with a great deal on an all-wheel-drive Camry, Corolla Cross or Corolla Sedan with the latest features in tech. Or test drive a spacious Grand Highlander or adventure-ready RAV4. And with so many hybrid models available, you can enjoy longer trips without all the stops, while Toyota's legendary resale value means you could get more at trade-in. Get a great deal today and a great value tomorrow. Shop toyota.com for deals and details. Toyota, let's go places.

• 0:32Speaker 01

  Every mile matters. Whether you're driving your dream car or your daily commuter, the Mobile One team knows that. It's why we created Mobile One Advanced Clean Motor Oil. It cleans your engine in one oil change and helps extend engine life, delivering performance, protection and cleanliness for vehicles of all ages. All to help keep your engine running like new, whatever you're driving. Visit mobileone.com/advancedclean to learn more.

• 1:00Peter Diamandis?

  We're all going to have some version of Jarvis, right? An AI that is in your ear, on your body and so forth.

• 1:05Speaker 03

  Frankly, even as someone in AI, I feel like, man, it's tiring. There's so much going on.

• 1:09Speaker 04

  Physical things in the real world are much further from being disrupted by AI.

• 1:14Speaker 05

  And it's going to create wealth faster than anything we've ever seen.

• 1:26Speaker 04

  The beauty of AI is that it can analyze information faster than any person.

• 1:29Speaker 05

  We're just literally starting to explore these. All of us are engaged with governments. We're trying to help them. It's a bit difficult when they're just catching up to the internet right now. Now it's got to the point where this technology could potentially be dangerous. So not everything needs to be open, but we do need to be transparent and careful when stuff gets out of our control.

• 1:45Speaker 03

  I have to admit, I'm not letting ChatGPT tell me where to invest at this moment.

• 1:50Speaker 06

  In school, a lot of kids have been cheating and they've been using ChatGPT to write essays and book reviews and do their math.

• 1:58Speaker 05

  Cheating implies there's a contest. Schools should not be a contest. You will never not be without this AI as you grow up. My question is about content creation, especially in music. You will have perfect music models by the end of the year. We believe this technology could be existential and we will treat it as such.

• 2:14Peter Diamandis?

  One of the greatest drivers for peace on the planet is making sure every mother has their children with the best health and the best education. A more peaceful world for us is a world in which you uplift everybody, which is what this technology has the ability to do.

• 2:31Peter Diamandis?

  Everybody, this year at Abundance 360, given the meteoric rise of AI, I decided to put together an entire day on AI with three of the most extraordinary thinkers. You've met one of them, Imad Mustak, the chairman, founder, CEO of Stability AI. Also brought to the conversation Alexander Wang, who's the founder and CEO of Scale AI. It's a big data machine learning platform that accelerates the development of AI. He founded it when he was at MIT at age 19 as a student, dropped out after the first year to become the youngest self-made billionaire ever. I also brought Andrew Eng, the managing partner at AI Fund.

• 3:12Peter Diamandis?

  He's co-founder and chairman of Cussera, the founder of Google Brain, love the name of that, and one of Time's 100 most influential people. Between Imad, Alexander, and Andrew, you can get an overview of this field. How fast is it moving? How disruptive is it? Is it something you should be excited about or fearful of? My massive transformative purpose is to inspire and guide entrepreneurs to create a hopeful, compelling, and abundant future in humanity. And that's what I'm doing with this podcast, to open up every relationship, every conversation I have with you, to inspire you, to support you in going big, in helping uplift humanity.

• 3:57Peter Diamandis?

  If that's of interest to you, please subscribe to this podcast. Allow me to share with you the wisdom that I'm learning from the most incredible moonshot entrepreneurs on the planet. Let's jump into this episode. It's a conversation that everyone needs to be having in your company, in your family, and definitely at the heads of every nation. Enjoy.

• 4:19Speaker 07

  Thanks, Peter, and thanks to our amazing guests here today. We've been talking about this actually for years. When we look at the rapid acceleration of AI and this disruption that's kind of happening very, very quickly from this point forward. And when we look at industries and workers and whether they're getting the...

• 4:44Speaker 07

  The understanding, the knowledge and the reskilling that will, that needs to happen to approach this current world. In what ways do you see or do you believe we can do that faster and work with governments and larger corporations and, and education systems to help enable this? Because we're all talking about positivity and abundance. And I think we're very privileged in this room. And the question is for the rest of the world, what are we doing? And in what ways are you involved as leader?

• 5:19Peter Diamandis?

  By the way, we've got forty minutes here, so lots of great questions to ask. Who wants to take that on?

• 5:23Speaker 03

  You know, so it's a very important point. I think the world is changing so fast. It's difficult for a lot of people to just keep up with what on earth is going on. Frankly, even as someone in AI, I feel like, man, it's tiring. There's so much going on. So I think maybe one of the things I'm doing, years ago, I started co-founded Coursera, which to this day offers a lot of causes, often works with governments to train up different, uh, uh, different people. I think that one nice thing is with online education, with digital education, we can speed up the rate at which we help people figure out, you know, learn the new technologies and figure out what to do with it as well. And I think media also has huge important roles to play. And eventually, I would love if we can build tools, like if you look at Google,

• 6:05Speaker 03

  the UI is really simple, the backend is insanely complicated, it's just type what you want and you get answers. So I hope that AI tools can evolve to the point where, you know, you could just use it without nearly as deep of education needed. And I think a lot of generative AI tools are headed in that direction.

• 6:22Speaker 05

  Yeah, I think it's supernatural. I mean, that's why super, space natural. Like ChatGPT was so successful because you just type and it just came. Stable diffusion, just type and then have images, right? And so I think making these things more and more usable has led to the explosion because it kind of comes from the natural language, understanding of humanity itself. It's trained on these large corpses of an entire media set. I think on the policy side, I think all of us are engaged with governments. We're trying to help them. It's a bit difficult when they're just catching up to the internet right now. By the way, the most linear organizations on the planet, right? If not sublinear. They are, and you know, and again, the typical approach to this is regret minimax, you know, like, stop it, ban it. But it's inevitable now, and again, it's kind of a global phenomenon.

• 7:08Speaker 05

  One of the problems as well is that, you know, you have an acceleration, but you haven't had a maturation. So there's lots of excitement. How much implementation is there now? There's going to be a bit of a pause because it has to be in the current wave, even as research keeps going and you go into engineering and application. And so I think we're not sure exactly where things are. I think Andrew talked a bit about where the value lands on the stack. And again, we are all kind of at different areas of this stack. So we ourselves haven't figured this out. And we're doing our best with the community to try and do that, to communicate to policymakers and make education courses and others accessible. Michael, good to see you. You're next, pal.

• 7:44Speaker 08

  So this is probably a question more to Ahmad, but anybody's perspective is welcome. I am done a lot of programming. I usually like to think about abstractions, the concepts. You have a concept, let's say, drawable, and it's fit for some purpose. And so it can do that thing. Now with AI, we're starting to, we are using English language, we're using prompts. So definition, what you're asking for is a lot more vague. So when it's vague, it may have edge problems, right? You have to clarify things a lot more. And so my question is, do you still see a value in having well-defined, structured,

• 8:26Speaker 08

  uniquely named things, which you can compose for well-understood result? Or do you think we'll diverge more to everything's a bit fuzzy? Everybody just provides a lot more text and it just somehow the system figures it out for you?

• 8:44Speaker 05

  Well, I think, it's an excellent question. I think a lot of the applications right now have been very surface level, without the contextual awareness of like, you know, Game of Thrones in South Korea or something like that. Amazon had this thing where they had the six-page memos, right? Rather than presentations. But another thing they used to do was write the press release beforehand. And so if you write the actual overview of the program in the comments now for kind of Copilot and things like that, or GPT-4, it will write the program based on the comments. You know, so again, I think this is a failure for us to understand prompting and some of these other things. It's something that Andrew and I have been talking about. You know, again, it's gone so fast. We've got the surface level. We have to explore. Another way to think about this is like game consoles. When the Wii first came out, games were a bit crap. By the end, it was fantastic. We're just literally starting

• 9:29Speaker 05

  to explore these. So it's simple words now, and then we'll compose and build structures around it to get the most out of these weird thingies.

• 9:36Peter Diamandis?

  Everybody, I want to take a quick break from our episode, tell you about a health product that I love and that I use every day. In fact, I use it twice a day. It's called Seed Health. Now, your microbiome and gut health are one of the most important and modifiable parts of your health plan. Your gut microbiome is connected to your brain health, your cardiac health, your metabolic health. So the question is, what are you doing to optimize your gut? Let me take a second to tell you what I'm doing. Every day, I take two capsules of Seed's Daily Synbiotic. It's a two-in-one probiotic and prebiotic formulation that supports digestive health, gut health, skin health, heart health, and more. It contains 24 clinically studied and scientifically backed probiotic strains

• 10:19Peter Diamandis?

  that are delivered in a patented capsule that actually protects it from the stomach acid and ensures that all of it reaches your colon alive with 100% survivability. Now, if you want to try Seed's Daily Synbiotic for yourself, you can get a 25% off your first month's supply by using the code MOONSHOTS at checkout. Just go to seed.com/monshots and enter the code MOONSHOTS at checkout. That's seeds.com/monshots and use the code MOONSHOTS to get 25% off your first month of Seed's Daily Synbiotic. Trust me, your gut will thank you. All right, let's get back to our episode. We're going to Zoom next. Ned Alsicoffi. Ned, where are you on the planet and what's

• 11:04Peter Diamandis?

  your question?

• 11:06Speaker 09

  Hi guys, can you hear me okay? Yes, we can hear you great. Perfect, I'm from Chicago. I am in healthcare and I love the idea of healthcare and longevity. I may be your only practicing physician here. I had the idea of joining this group because as a practicing urologist, we are getting humbled and as Peter and AI and Healthspan go on, most urologists are going to see people who are older. I think all you guys are going to be a patient of either me or my colleagues here soon. The point I'm making here is that there is an overflow of patients and we as clinicians

• 11:44Speaker 09

  are getting bombarded and the question is, in light of workflow shortages with our staff and the incoming number of patients, how to use AI most efficiently in terms of point of care for patients getting into our offices as well as having AI be part of the evaluation process because as many people may know, you know, 90% of the time we see the same 10 conditions. So the question to the panelists is, number one, how would you advise a physician or healthcare provider to set this up and do you think that this is something that is easily attainable?

• 12:28Speaker 09

  I liked Alex's thought about starting small. And then the second question is, if you were to do it, is it the sort of thing that would prevent, I mean, is there anything in there to prevent others from doing the exact same thing so that if you are spending a lot of time and money into this, that nobody else just kind of scoops it from you? Thank you for taking my question.

• 12:48Speaker 03

  I'll say real quick, if you have a concrete idea for what you like to do in neurology, let me know. I think teams could help, maybe my team could help execute that. One example, something AI funded, we worked with a fantastic founder, Alison Darcy, and now different CEO, Michael Evers, to support building up Woebot, which is a digital mental healthcare chatbot. You could actually install it on your phone that, you know, from the data published out of Stanford, seems to be able to take effect relatively quickly in terms of treating symptoms of, for users of symptoms of anxiety and depression. So I think that there are actually lots of opportunities to apply AI in interesting ways to healthcare, but figure out those concrete use cases that allows us or others to execute on it.

• 13:33Speaker 04

  Yeah, I'll say two more things, which is that I think the first is that, you know, getting to market first is actually an advantage. You know, certainly other people can copy the idea, but I think, you know, this is one of these things that's well studied in business, but there's going to be a moat from whoever's able to establish the use case first and then able to use that pole position to get more and more data into the system. So let's say you built, you know, the best possible system for identifying some sort of, some sort of disease or condition using AI, then you're going to, just by launching that service, get far more data than anyone else and race ahead of where anyone else could possibly be. So the, the sort of currency of the realm of AI really is, is data. And

• 14:18Speaker 04

  if you have a unique, a niche data set or a unique data set, that's going to give you an initial advantage. And if you're able to build a strategy, continue amassing more and more data, that'll keep you ahead.

• 14:27Peter Diamandis?

  We're going to go next to, to John here at Mike 2. Let me remind you, please look at the questions in Slido, upvote them. If you're here in the audience or on Zoom, we'll be pulling them. John, please, what's your question? And keep the question short, if you could.

• 14:41Speaker 10

  Sure. So I'm a medium, a small business owner. I'm a physician. I own a diagnostic laboratory. So I hear a lot of buzzwords. You need to implement AI. You need to create, you know, you need to put your data on a balance sheet. That sounds awesome. But the, but my initial question is, how do you get started going down that road of, you know, we have a ton of data, but how do you put it in a package that you can actually monetize it, put it on a balance sheet? So what are the process of just going about doing something like that? And then number two, implementing AI into something that I think is a very concrete, you, uh, US, like a case point for our company is digitizing pathology and

• 15:22Speaker 10

  allowing an AI over engine to help pre-diagnose or triage cases or whatnot. How do you go about implementing something like that in a company that's my size by either pairing with someone else? Or do you try to bring a team in to develop it? So like, what kind of playbook, just to get you off the ground and move your company?

• 15:40Peter Diamandis?

  Alex, I think you're...

• 15:41Speaker 04

  Yeah, so we have tools. Um, you go to scale.com. We have data set management tools that you can upload all of your data and basically build that into a data set. That's step one is to get all of it into one tool, build up an entire data set, and then you can do a bunch of things from there. You can label and annotate the data, turn into a data set that you can train a new model on top of. You can bring in a host of companies. We could be one of them, or there's a bunch of other vendors out there that can take that data and turn it into a customized model for you and then and then launch it and figure out how how much impact it can possibly have.

• 16:13Peter Diamandis?

  And you find out who that data is viable to ultimately. We're going to go to Slido. There's a great question here. I'm going to send it to you, Imad. It says here, is there any commercial activity which AI will never be able to disrupt? What will be the factors to understand that? I'm curious. I mean, it's an interesting question, right? It's like the question asked of Bezos. What what won't change, right?

• 16:37Speaker 05

  There's nothing that will never be able to disrupt it because you'll have autonomous robot agents. That basically is Blade Runner, right? In strange way from humans. I can't see any commercial activity cannot disrupt.

• 16:51Peter Diamandis?

  Do you guys agree? Alex, let's go with you.

• 16:54Speaker 04

  You know, I think I think at least in the short term, and who know this this stuff could all change, but in the short term, physical things in the real world are are much further from being disrupted by AI. So, you know, anything that we have to sort of like interact with or do something physical in the real world. Robotics is relatively behind a lot of the sort of pure digital, pure online kind of AI systems. So, you know, I don't know if the word is never, but at least for a long time, you know, we won't have, you know, an AI robot that can do construction or that can do, you know, mining or some of these things that are very, very.

• 17:34Peter Diamandis?

  Interesting. I'm I'm I go into the.

• 17:39Peter Diamandis?

  I go into Imad's category here, but that's my opinion. You guys are extra. Andrew?

• 17:43Speaker 03

  You know, my friends and I, some of my AI tech friends, I used to challenge each other. Name an industry that AI will not be able to disrupt. So we challenged each other to name that. And I had a hard time coming with them until one day I thought, all right, maybe hairdressing industry, you know?

• 17:56Peter Diamandis?

  Which industry?

• 17:57Speaker 03

  Hairdressing.

• 17:58Peter Diamandis?

  Hairdressing. I think that's easy.

• 18:00Speaker 03

  And I used to say this on stage until one day, one of my friends who's a robotics professor, she was in the audience when I said that on stage. And after that, she stood up, she pointed at my head and she said, Andrew, for most people's hairstyles, I don't have the ability of a robot to cut their hair like that. But your hairstyle, I could tell you how to do that.

• 18:19Peter Diamandis?

  Oh, that's great. All right, we're gonna go to Kieran on mic four.

• 18:25Speaker 11

  Do you think with the large language models like GPT, will they ever be able to explain why they generated what they generated? Or have they made a new breakthrough?

• 18:36Speaker 04

  So right now you can ask the models to explain why it said what it did. It's not clear if those answers are actually correlated at all with the actual reason why, they aren't probably correlated with why they actually said that. And so there's sort of, you know, humans have this bug, which is that we will do things. And then if somebody asks us to explain why we did the thing, we'll come up with some post hoc rationalization that oftentimes is not literally the reason why we did a certain thing. Usually it's, you know, there's the analogy of the elephant and the elephant rider, which is that our emotional brain is an elephant and our rational brain is this rider of the elephant that just sort of is trying to explain what the elephant's doing. So I think the large language models are similar, which are that they're going to go through some process by which they make a decision or they say something.

• 19:21Speaker 04

  And then you can ask it to explain and it'll come up with something on the spot to try to explain it. You know, this is something that Imad and I were actually just talking about is like, how do you get greater levels of interpretability? How do you, how do we do research in the direction of like actually truly understanding where it's coming from? But that's all active research.

• 19:35Peter Diamandis?

  Nice. Giselle, you're the next contestant. Good to see you.

• 19:40Speaker 12

  Given what has happened to social media, I actually rated the way I feel about AI as scared shitless. Because you guys, you are at the leading edge of this. This is your space. Is anybody doing anything to build parameters around this technology? So that what you were saying, Matt, about someone calling you in your mother's voice and selling you stock? That is, we already live in a world where we don't know what truth is? How are we going to fight this?

• 20:24Speaker 05

  Well, I think you see information curation going through social networks. I mean, this is the Twitter Verified, it's Apple Identity, it's kind of a bunch of other things. We bank contentauthenticity.org, which is a Adobe thing around visual media. But we do need to have centralized repositories of trust. Because the cost of information becomes zero and creation becomes zero. And unfortunately, there is nothing that can really regulate this output. Like, there are laws in various countries that you must identify AI output. Like with stable diffusion, there's an invisible watermark of things. But it's become so accessible that we need to have standards quicker than the system is adapting. So this is why I think information distribution systems need to standardize around this right now, which is something we're pushing a lot.

• 21:07Peter Diamandis?

  Yeah, I mean, there's a big question. Can we even govern against any of this? Right? All of this is bits. We live in a world of porous borders, data flows. So, Giselle, we're going to have a lot of these conversations around ethics and around implications. Guys, this is happening right now, right? This is this year, next year, not 10 years from now, five years from now. What gets played out? This is why we need to be paying such attention to it. Giselle, thank you. I'm sure we'll hear from you a bunch more times. Let's go to mic number three in the back there. And then I'll go to Zoom and we'll go to our Slido.

• 21:50Speaker 13

  My name is Hajime, running an AI startup in Japan, Series D, now getting much closer to the Japanese government. And they're concerning about the disaster and resilience because there's a huge risk on an earthquake as well as like the Mount Fuji erosions. So my question is, like, what could be the interesting but the practical way to apply AI for those like disaster recovery?

• 22:18Speaker 04

  So we actually worked on something in this direction for in the Ukraine conflict, which has obviously been, you know, this horrible thing to happen to a region and a country. And you're able to, one of the things that is really unfortunate in any sort of disaster situation is that, you know, seconds really matter, you know, every second spent that you aren't, you know, deploying resources to help resolve one of the, you know, people who are in a damaged structure or, you know, tackle a certain area is going to result in either lives lost or further damages to infrastructure. So one of the things that you can do with a combination of satellite imagery plus drone imagery on in major cities or major areas that are being impacted

• 23:02Speaker 04

  is use AI to automatically identify damage on a building by building level and a change in that damage in every area and use that to coordinate humanitarian response. So this could be applicable, you know, this is applicable in any sort of natural disaster, any sort of scenario where fast action really matters. The beauty of AI is that it can analyze information faster than any person.

• 23:24Speaker 05

  Yeah, we're doing a variant of stable diffusion for satellite imagery and time series data as well. And so that I'm sure will be used in that toolkit.

• 23:32Peter Diamandis?

  Amazing. All right. To our Zoom audience, we're going to you next. Niko, Niko Dranek, where are you on the planet? And what is your question?

• 23:44Speaker 14

  Hi Peter, I'm calling in from Austria, from Europe.

• 23:47Peter Diamandis?

  Beautiful.

• 23:48Speaker 14

  I have a question regarding the profile of a Chief AI Officer. So what profile should this AI Officer have to fulfill this for best? Should it be technical, should it be another profession, should it be a mix? Because it seems to me that combines a lot of traits that are found in entrepreneurs and CEOs anyway. So what else is needed? And I asked this specifically coming from a non-tech traditional background, just like my case. Thank you.

• 24:15Peter Diamandis?

  Niko, great question. Let me preface a second. What my advice as a first step for folks is, I like the idea of get your team to experiment and so forth. But in my, what's been working for me is finding somebody who knows the field out there, understands who to partner with, is advising as a strategic advisor to the CEO about the platforms and such as a Chief AI Officer in that regard. Do you guys agree with that idea? And what would be your, you know, what do you think that person should have as background?

• 24:49Speaker 03

  Yeah, so as far as I know, I think I might have been the one that coined the term Chief AI Officer.

• 24:54Peter Diamandis?

  I stole it from you then.

• 24:55Speaker 03

  No, but so actually years ago, I actually wrote an article in Harvard Business Review. I remember Googling if a Chief AI Officer didn't really exist on the internet. So I actually wrote a piece in Harvard Business Review with my specific recommendations to the Chief AI Officer profile. I think a person needs to be technical enough to understand the tech. And then also business oriented enough to work cross-functionally to figure out what are the valuable business use cases for your specific application. But I have like a multi-page article on HPR talking about.

• 25:23Peter Diamandis?

  I mean, I would imagine the CEO or the store, the head of whatever division says, this is what I think is possible, this is what I need. The Chief AI Officer is sort of an interface to the world out there to bring in a scale, to bring in part of what, uh, uh, Imad, what you're building. Does that sound like a reasonable role in a company?

• 25:42Speaker 03

  Yeah, I think I'd have to be technical enough to make good judgments and then also to make the, you know, buy versus build decisions. And often for many companies, you should buy a lot and build a little bit. But to make those decisions requires both deep technical judgment as well as the ability to figure out, understand the business well enough to figure out the use cases.

• 26:01Peter Diamandis?

  Imad, I can't tell if you're agreeing or disagreeing.

• 26:03Speaker 05

  No, I think so. I think that there's an implementation side of it. Like an applied engineer is a good thing. I think passion is kind of key.

• 26:10Peter Diamandis?

  Yes.

• 26:10Speaker 05

  Because you have to throw yourself, otherwise there's no way you can keep up. Actually, my suggestion would be that, given this is a suggestion that you have, there should be an internal A360 repository around the ecosystem, the latest trends and others, that can go to all the chief officers here.

• 26:26Peter Diamandis?

  Yeah.

• 26:26Speaker 05

  So they can keep in touch through that.

• 26:30Peter Diamandis?

  All right, Steve, you heard it. You're in charge. Wonderful. Thank you. I hope, Nico, that answered your question. Let me go to Slido next, and thank you. Some great questions. Katie, I didn't, I apologize, I didn't note your name earlier. Actually, what is the first step companies can take to evaluate the data they have? How can we get started extracting from the systems we have in place today?

• 27:02Speaker 04

  Yeah, so I think the first thing to do right now, the new large models are quite capable of just sort of ingesting in existing data you have, and basically whatever format you have, you know, in some cases it can be literally as simple as uploading a bunch of PDFs into the models and sort of extracting all the information from there. So I think the first-

• 27:24Peter Diamandis?

  By the way, it's something you just said is very important, right? It's like, you can almost upload anything.

• 27:30Speaker 03

  If it's text.

• 27:31Peter Diamandis?

  Right? Your Outlook files, everything.

• 27:34Speaker 05

  Yep, soon images as well.

• 27:36Speaker 04

  Soon image, yeah.

• 27:36Speaker 03

  And images.

• 27:37Speaker 04

  Multi-modal.

• 27:37Speaker 03

  Text and images, yeah.

• 27:38Speaker 04

  Yes.

• 27:39Speaker 03

  Just one point of caveat, turns out a lot of enterprises have what's called structured data, which means basically giant Excel spreadsheets. So structured data, you know, models like ChatGPT and so on are less directly well-suited for, but text and images is getting really good.

• 27:54Speaker 04

  That's true. Yes. Right now, general model is still worse at Excel than many of us. But, yeah, so these are the data formats, you know, I would basically start the initial process, just catalog, catalog all this data that you would want to upload into an AI system, and then, and then reach out to one of us to help you. Help you put it into an AI system.

• 28:17Peter Diamandis?

  I want to go to Christie's question on Slido here, and heading this towards you, Imad.

• 28:24Peter Diamandis?

  If you had to put all of your money, your family's money, your friends' money into one of the technologies here or industries, which one would you put it into?

• 28:33Speaker 05

  I'm all about risk diversification. No, I mean, it's an incredibly hard thing to say. My thing is that, like, what I advise all the young people is, actually, I'm advising young people, don't go to university anymore, do PhDs. Yeah, don't get an MBA. Go work. The thing can get in GRE, right? Already. So I think, you know, put it into Andrew's fund. I think it'll do well. But there are very few kind of options here apart from you have to use it to basically upskill yourself. This is the thing. Or upskill your community. Invest in yourself, invest in your company. This is literally the case because this is such a disruptive, massive game changer. And there are no easy ways to do that, other than like, actually, let's spend money reasonably quickly

• 29:18Speaker 05

  to get up to speed on this technology, because you will have an edge over everyone else. As Alexander said, it's first to market. In the stock market itself, there are no real investable things here at the moment. Are we going to see the first trillionaires in this area?

• 29:32Speaker 05

  Most likely. Is this where the greatest wealth creation is going to happen? Or are we going to see that in Bitcoin first? Yeah, I think we see this. I think, again, like Bitcoin had a GPU, and then it had an ASIC era. We're at the GPU era of this technology, but it's real. And we're going to go to ASICs. It's going to be everywhere. And it's going to create wealth faster than anything we've ever seen. I call it the dot AI bubble, actually, which is why, I'm not joking, like, you know, if you have funds that are focused on it, it's almost a rising tide lifts all boats. You know, even if you have the alpha side, that will come through, like, a trillion dollars will go into this. Like, 20 billion went into delivery startups last year. A total, I think, probably of 6 billion has gone into this sector to date.

• 30:13Speaker 05

  100 billion has gone into self-driving cars. A trillion went into 5G. Yep, amazing. Anything here that's investable. Go to Farzam next.

• 30:21Speaker 03

  I want to add one thing to what Imar said about jumping in. There's actually one thing, right? I think sometimes people think, am I too late? And the answer is, you're not. You're actually very early still. AI on, you know, don't know if it's exponential, some very rapid growth. But if you jump in now, I think you look back a few years from now, and people say, wow, you know, that my buddy over there was really early jumping in.

• 30:42Speaker 05

  Because it's still growing so rapidly. It's Bitcoin. It's literally 6 billion, it's gonna go to 600 billion in the next few years, a hundred times increase, right?

• 30:49Peter Diamandis?

  This episode is brought to you by Levels. One of the most important things that I do to try and maintain my peak vitality and longevity is to monitor my blood glucose. More importantly, the foods that I eat and how they peak the glucose levels in my blood. Now, glucose is the fuel that powers your brain. It's really important. High prolonged levels of glucose, what's called hyperglycemia, lead to everything from heart disease to Alzheimer's, to sexual dysfunction, to diabetes, and it's not good. The challenge is, all of us are different. All of us respond to different foods in different ways. Like, for me, if I eat bananas, it spikes my blood glucose. If I eat grapes, it doesn't. If I eat bread

• 31:30Peter Diamandis?

  by itself, I get this prolonged spike in my blood glucose levels. But if I dip that bread in olive oil, it blunts it. And these are things that I've learned from wearing a continuous glucose monitor and using the Levels app. So Levels is a company that helps you in analyzing what's going on in your body. It's continuous monitoring, 24/7. I wear it all the time. It really helps me to stay on top of the food I eat, remain conscious of the food that I eat, and to understand which foods affect me based upon my physiology and my genetics. You know, on this podcast, I only recommend products and services that I use, that I use not only for myself, but my friends and my family,

• 32:13Peter Diamandis?

  that I think are high-quality and safe and really impact a person's life. So, check it out. Levels.link/peter. Give you two additional months of membership, and it's something that I think everyone should be doing. Eventually, this stuff is gonna be in your body, on your body, part of our future of medicine. Today, it's a product that I think I'm gonna be using for the years ahead, and hope you'll consider as well.

• 32:39Speaker 15

  I've been sitting here and really blown away with all the great technology. I'm in the business of real estate, which is... I'm not playing in that arena, but I'm here to find out what I need to do. But what I'm, what I'm, actually brought me up to, to the.

• 32:56Peter Diamandis?

  How many folks are in real estate here? Raise your hand, please, just to get a sense. So you're not alone.

• 33:01Speaker 15

  Okay, thank you. But my main question is, really comes back to the sort of a, what do we do with all these great things and how do we hack the world of peace in, around the world? And how do we understand with the data that it's the need of what Russia, China, Iran, North Korea, what is their problem? What are their challenges? What are the stuff that they want to blow everything up? And what is our problem? And what, how do we look at ourselves as a citizen of planet Earth? And how do we work with the geniuses we have in front of us?

• 33:44Speaker 15

  To really be able to bring this thing? Because there's a lot of not cool things we're here around the world.

• 33:52Peter Diamandis?

  All right, we got your question. How do we save humanity?

• 33:54Speaker 05

  That's an easy one, right?

• 33:55Speaker 15

  Thank you.

• 33:56Peter Diamandis?

  Seriously, I mean, and, and Ahmad, please dive in, because this is something you care deeply about.

• 34:01Speaker 05

  These are universal translators. Go to ChatGPT, pay something and say, write it from the perspective of a Tea Party conservative. It'll do that. And then you'll say rewrite it from the perspective of a libertarian and it'll do that.

• 34:13Peter Diamandis?

  So you're going to have the ability very soon, we're all going to have some version of Jarvis, right? An AI that is in your ear, on your body and so forth. And that AI will be able to tell you, are you being biased in this conversation? Because it can look at the conversation from other points of view. Right? I think one of the greatest drivers for peace on the planet is making sure every mother has their children with the best health and the best education. If you are educated, if you're healthy, if you have opportunity, you're not going to want to throw your life away. A more peaceful world for us is a world in which you uplift everybody, which is what this technology has the ability to do.

• 34:49Speaker 15

  Yeah, thank you.

• 34:52Speaker 05

  I think there's one more thing as well. It comes to trusted third party. When you have a disagreement with someone and you have someone trusted between you, then a lot of this stuff that can speak both your languages, as it were, understands both your contexts. So again, this is the hope now that we have this universal translator, not for language, but for stories, context, and other things. We've just got to build it right and make sure it's distributed as opposed to centralized and controlled with one specific worldview.

• 35:17Peter Diamandis?

  I'm going to ask a question and jump in here. OpenAI's approach right now, and Elon tweeted the other day that, I guess, OpenAI dismissed, or Microsoft dismissed their ethics committee or something like that. Is there a general sense in the community of concern around that? Or is that not a valid concern? Thoughts? Not tweeting this out?

• 35:47Speaker 04

  Well, I think one thing, I'll just speak for everyone. I think we all have to admire what OpenAI has done. The work in large models has really been driven by OpenAI. And kind of as I mentioned before, I shouldn't say that all of AI was on the wrong track, but certainly we were not as focused on large models and the incredible capabilities that we get from these large models if not for OpenAI. And I think so far, they've been very responsible in their deployment of the technology. I think they've been very thoughtful. They've invested a lot into research to make sure that these models are deployed safely. And I think they have a very, you know, it's a hard thing for any organization to do

• 36:28Speaker 04

  to build such incredible capability that has never existed before and try to deploy it safely.

• 36:34Speaker 03

  Okay. You know, I feel like the easy answer would be to say, oh, we need to be super concerned about ethics and is all going south or is all going poorly. I think we do need to be really concerned about ethics and responsible AI. And to be really pragmatic, I think when Yimao released his model, which is fantastic, love what he did, I think that Yimao had a lot of flack about how could you release this thing like that? But net-net, I'm sure some of the models was used for negative use cases. But I think you might create massively more value than harmful use cases. So I think that we should be very clear about the problems and the harm and do our best to mitigate that. And then also be clear about the huge benefits. You know, they're releasing these models and all the wealth and abundance that this also creates.

• 37:17Speaker 03

  And that trade off is a very tricky one. And I do see many highly ethical, well meaning AI teams agonizing over that.

• 37:24Speaker 05

  Yeah, I think I agree with kind of both. And you know, as Alexander said, amazing technology and it's been really a breakthrough. That allows now humans to scale and they've been at the core of it. Um, like I have disagreements with OpenAI. Uh, my core one is just a case of now it's got to the point where this technology could potentially be dangerous. Like as we scale more, we don't know exactly how it works. And so I'd love for them to be responsible to have. Be more open. Transparent governance, transparent kind of procedural stuff. And again, really adhere to a very strong charter. They don't have to release their models. You can have proprietary models like I funded the beta of Mid Journey. And if you look at Mid Journey version five, it's amazing. I said, you never have to open source it because it's great for humanity to be creative, you know?

• 38:07Speaker 05

  So not everything needs to be open, but we do need to be transparent and careful. When stuff gets out of our control in their own AI AGI, the Artificial General Intelligence Document, they say, we believe this technology could be existential and we will treat it as such. We believe this technology. I was surprised when I read that as well. So in that case, you should be transparent and you should be really transparent about your governance. Extra more than anyone, similar to companies that can affect the environment.

• 38:36Peter Diamandis?

  Hey everybody, this is Peter. A quick break from the episode. I'm a firm believer that science and technology and how entrepreneurs can change the world is the only real news out there worth consuming. I don't watch the crisis news network. I call CNN or Fox and hear every devastating piece of news on the planet. I spend my time training my neural net, the way I see the world, by looking at the incredible breakthroughs in science and technology. How entrepreneurs are solving the world's grand challenges. What the breakthroughs are in longevity. How exponential technologies are transforming our world. So twice a week I put out a blog.

• 39:15Peter Diamandis?

  One blog is looking at the future of longevity, age reversal, biotech, increasing your health span. The other blog looks at exponential technologies, AI. 3D printing, synthetic biology, AR, VR, blockchain. These technologies are transforming what you as an entrepreneur can do. If this is the kind of news you want to learn about and shape your neural nets with, go to dmantis.com backslash blog and learn more. Now back to the episode. All right, we're going to go to Zoom next. Charles, where are you on the planet and what is your question?

• 39:50Speaker 16

  So I'm in Palm Beach, Florida. I welcome all of you to come down and visit. Most of us from New York have already left the city and we're reestablishing ourselves here. This is going to be very specific because Andrew, you asked us to be specific. So this is actually addressed to you and perhaps to Peter as well, if he wants to chime in, but how do you use AI or ChatGPT to recommend an investment for your venture fund? You have a lot of inputs, a lot of variables. In my business of investing, there are too many variables to do it. So if this is a thumbs up, thumbs down, are we going to invest in this company? How do you do it using AI? Thank you.

• 40:28Peter Diamandis?

  Great question.

• 40:29Speaker 03

  So I think ChatGPT is amazing. I play a bit, building multiple businesses using it. I have to admit, I'm not letting ChatGPT tell me where to invest at this moment in time. Maybe it gets much smarter. I won't mind, maybe it will replace me in our retire, but not yet there. Maybe the reality is making an investment decision or decision to build a business is so complex and so multifaceted. I don't know if the mechanisms that even digitize all of that data right now, and even if we had the ability to digitize all that data, I think that while very exciting progress is being made to improve the reasoning capabilities of large language models, I think it'll still take a while to get through the very complex, multi-step reasoning that I think investors are using to make decisions.

• 41:12Peter Diamandis?

  By the way, I remember one of the founders of Google Ventures, who is a friend, he's not there anymore, told me that Google Ventures actually had built algorithms for making decisions on who they invest, based upon where the company was based, what years established, a whole bunch of other parameters. I don't think they're doing that anymore, but it's an interesting idea. But with that, let me go to Madhu, who's going to have a brilliant question for us. Madhu.

• 41:33Speaker 17

  All right. Speaking of positive use cases, I'm going to play out a scenario and I want to hear from all three of you, if that's possible. I'm a large health system. All right, I've done the sick care for all of our existence and I'm trying to build a chatbot that supports our nursing staff or our triaging staff. And I have all this proprietary data.

• 41:54Speaker 17

  The specific question is, what foundation models should we start with? If my team's working on this project, what foundation models should we start with?

• 42:02Peter Diamandis?

  Ahmad, you wanna start?

• 42:04Speaker 05

  Yeah, you'll be able to use StableLM and Stable Chat soon. Right now, probably it's going to be GPT-Neo, JNX on kind of that side of things. And that would be the open models that you can use inside your cloud or on-prem. For the proprietary ones, I'm not sure, like, is Claude available yet?

• 42:23Speaker 04

  Privately available.

• 42:24Speaker 05

  Privately available, yeah. So basically, the next generation of language models aren't coming via APIs just yet. So right now, the people that we know in the healthcare industry, they use GPT-NeoX and T5, Plan T5, precisely. But there's no real services around that. Again, we're still in the research to engineering phase, but in the next couple of months, you'll have services that enable you to do this far more seamlessly than before, including the Microsoft GPT-4 chat service as well that you can fine-tune on.

• 42:52Speaker 04

  Yeah, Llama as well, I'd mention Llama, although.

• 42:55Speaker 17

  It's non-commercial, that's the problem.

• 42:57Speaker 04

  Right, but internal, well, regardless. I think, I think one thing that's critical that Ahmad is sort of implicitly mentioning is that on health data, you're very likely going to need a model that you can control and own, because there's a lot of PHI and PII that's going to go into these models. So because of that, I think these sort of offerings where, you know, you have to give data to another service are probably not workable. So, so I think you probably need to take one of these open source models, of which Ahmad named a bunch, Llama's a new one from Meta and a host of others, and train them up.

• 43:34Speaker 03

  While choosing the right LM language model is important, I feel like a lot of, when I think, so AI fund, we recommend to different companies what language model to start building on top of. So these trade-offs with the model size and cost, and do you wanna fine-tune or do you do prompting? There are all these things, but I feel like the language model is important, but my mind is also going to a lot of the decisions you need to make after choosing a language model and the processes to execute those well.

• 43:58Peter Diamandis?

  All right, we're gonna go to my deputy son over there. Hi, Bear. What's your question, buddy?

• 44:05Speaker 06

  Um, so I'm a kid, so I still go to school. And in school, a lot of kids have been cheating or cheating, and they've been using ChatGPT to write essays and book reviews or do their math.

• 44:22Speaker 06

  And I guess my question is, how do you, one, how do you think like, schools should evolve to deal with that? Or do you think that it's really declared cheating if it's a tool that we're gonna be able to use later on?

• 44:36Peter Diamandis?

  Brilliant question. Let's give it up for Bear here.

• 44:45Speaker 03

  You know, to me, that's a big question of transparency. It's a great question. Thank you for asking that. I feel like if you use ChatGPT and you're willing to openly tell the teacher, I'm using it, and the teacher says you can use it, that's fully transparent. That doesn't feel like cheating. To me, the thing that is concerning is if students do it, but the rules require or lead them to hide it and that type of, I'm gonna do it, but I can't tell them about it. That's what doesn't feel very good. And candidly, schools are struggling. The debate is, people will be able to use these tools in the future, so we train them to use it, or is it a crutch that will limit, right, a person's growth? I have a controversial opinion. So I have a four-year-old daughter trying to teach her math, and because she's four years old, I could stop her from using her calculator. I just don't buy her calculator. So she's learning to add with her own brain.

• 45:30Speaker 03

  One of the challenges of ChatGPT is, you know, most students using it are in an age where parents and teachers don't have an ability really to easily stop us use, and so it does concern me, would be a crutch that stops people from doing certain things? Or, because I love to, I use calculators, but I feel like maybe learning to add with other calculators is useful. So figuring out what we need to do with ChatGPT in an educational system is something I see a lot of schools struggling with. I wish I had an answer.

• 45:57Speaker 05

  Yeah, I've got a little answer. Cheating implies it's a contest. Schools should not be a contest.

• 46:03Speaker 06

  Got it.

• 46:05Speaker 05

  So I think most schools are basically childcare systems, like the status games. I think schools should embrace this technology, and they should really think, how can we impart knowledge into individuals? How can we impart critical systems? Because again, you will never not be without this AI as you grow up, and you have to prepare for that.

• 46:24Peter Diamandis?

  Awesome.

• 46:27Peter Diamandis?

  We have three minutes left. I'm gonna do the following. I'm gonna ask you to mention your questions very briefly. We'll do a speed round. Karthik, what's your question in 20 seconds or less?

• 46:38Speaker 18

  Thanks, Peter. And gentlemen, thank you so much for your brilliant insights.

• 46:42Peter Diamandis?

  Quick, short. What's your question?

• 46:44Speaker 18

  My question is about content creation, especially in music and arts.

• 46:49Peter Diamandis?

  Okay. Ellen, what's your question? Very short.

• 46:53Speaker 19

  Privacy and AI in healthcare information.

• 46:59Peter Diamandis?

  Okay. Ben, what's your question?

• 47:00Speaker 20

  Should my 15-year-old continue taking Python and should he go to college?

• 47:05Peter Diamandis?

  Okay. So we've got privacy. We've got, say again, Karthik? Creation of music and arts. Creation of music and arts. Okay. Ask your question. Answer what you want. Yes to Python, yes to college. Yes to Python, yes to college. Okay. Creation of music and art.

• 47:22Speaker 05

  Music has had its, or has it stable diffusion moment, AudioLM and others. You will have perfect music models by the end of the year.

• 47:29Peter Diamandis?

  Ellen's question again. Privacy in terms of healthcare. All right.

• 47:35Speaker 04

  I think it's a really big topic, privacy of data when it comes to AI systems. I think that this is gonna be probably the biggest regulatory battle when it comes to AIs. What data is allowed to be used to train these models and what are the sort of, what consent do you need to get over data and people's data to be able to train models on top of them? I think it's a really big societal topic that we're all gonna wrestle with over the next few years and I encourage everyone to get involved if you have an opinion.

• 48:03Speaker 05

  I think also AI for healthcare has to be auditable and interpretable as a medical device typically. So it's gonna have to be based on open foundations for that particular use case.

• 48:12Peter Diamandis?

  Nice. All right. Harry and Babs, what are your last two questions here? Real quick.

• 48:18Speaker 21

  ChatGPT asks, what measures can be taken to counter the misuse of AI by countries like China?

• 48:25Peter Diamandis?

  Okay, we're gonna talk about China in our next session, so hold your question for that. Babs, close us out.

• 48:30Speaker 22

  Same, I was gonna ask about the evil empire using our AI against us. We're talking about ethics and all that kinda stuff, they're not into ethics.

• 48:39Peter Diamandis?

  Okay, we're gonna be talking about ethics and empathy and US versus China in our very next session. I'm gonna try and keep us on time. Let's give it up for these incredible individuals.

• 49:02Speaker 01

  Every mile matters. Whether you're driving your dream car or your daily commuter, the Mobile One team knows that. It's why we created Mobile One Advanced Clean Motor Oil. It cleans your engine in one oil change and helps extend engine life, delivering performance, protection, and cleanliness for vehicles of all ages. All to help keep your engine running like new. Whatever you're driving, visit mobileone.com/advancedclean to learn more.