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Moonshots with Peter Diamandis - Episode #36 Summary
Episode Title: Stability AI Founder: Halting AI Training is Hyper-Critical For Our Security Guest: Emad Mostaque, CEO and Founder of Stability AI Air Date: [Insert Date]
Episode Overview In this episode, Peter Diamandis and Emad Mostaque discuss the critical need for a pause in AI development, particularly focusing on large language models (LLMs) and their implications for humanity. They explore the potential risks associated with AI, including the possibility of achieving artificial general intelligence (AGI) and the ethical considerations surrounding AI deployment.
Key Topics Discussed
- The Need for a Pause in AI Development
- Hypercritical Period: Mostaque emphasizes that the next six months are crucial for establishing guidelines and precautions in AI development.
- Petition for Pause: Discussion around a recently circulated petition to halt AI training to assess risks and implement safeguards.
- The Future of AI and AGI
- AGI Aspirations: Exploration of whether current LLMs can lead to AGI and the complexities involved in defining AGI.
- Concerns: The conversation touches on fears of AI being misused and the potential for existential risks associated with AGI.
- Regulation and Governance of AI
- Challenges of Regulation: The difficulty of regulating a rapidly advancing technology that transcends national borders.
- Transparency: Mostaque urges for more transparency from AI companies regarding governance and decision-making processes.
- Socio-Economic Implications
- Competitive Pressure: Discussion on whether AI advancements will create competition between economies.
- Job Displacement Concerns: Addressing fears around job loss due to automation and how AI may fundamentally alter labor markets.
- Open vs. Closed AI Models
- Stability AI’s Mission: Mostaque advocates for an open-source approach to AI to ensure broader access and ethical use.
- Comparison with Other AI Companies: Critique of companies like OpenAI for not remaining true to their initial open-source vision.
Key Takeaways
- Emad Mostaque's Vision: The mission of Stability AI focuses on uplifting humanity through open AI technologies that empower education and healthcare globally.
- Potential for Transformation: AI has the capacity to revolutionize various sectors, including education and healthcare, by providing personalized support and resources.
- Community Engagement: The future of AI requires collaborative efforts from various stakeholders to ensure its benefits are widely distributed and ethical concerns are addressed.
Conclusion The conversation between Peter Diamandis and Emad Mostaque highlights the urgent need for thoughtful regulation and open collaboration in the AI space. As technology continues to advance at an unprecedented pace, stakeholders must prioritize humanity’s safety and well-being in their development strategies.
Call to Action Listeners are encouraged to reflect on the discussions and consider how they can engage in conversations about the ethical implications of AI and contribute to shaping its future responsibly.
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For further insights and updates, follow Peter Diamandis on [X (formerly Twitter)](https://x.com/PeterDiamandis) and explore the resources provided by Stability AI.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:01Everybody, Peter here. I just spent the last hour with E -Modernus Talk, the CEO of Stability AI, talking about the recent petition that's been going around to halt or pause the development of large language models. In early April, I just had them on stage last week at a button, 360, but that wasn't the subject. This conversation was around the fears, the hopes of large language models. And some of the points we discussed was his belief that the next six months are hypercritical, that we have six months to figure things out. Why? There are a couple of very important reasons that he discusses in this next segment.
0:41I was going to talk about how this technology is going to transform the world of education, of healthcare, of supporting governments around the world. One of the best conversations I've had with Imad in a long time, and also he's one of most brilliant CEOs and also the only private AI company CEO to sign that petition. So listen up, it educated me, got me feeling hopeful, hope it does the same for you. Just for folks who may not know you, IMADIZ, the CEO founder of Stability AI, truly one of the most extraordinary AI companies, large language model companies out there with a mission being an open, a truly open AI company to transform, support humanity across health against education, again, about uplifting humanity.
1:37So, you might, I love what you do and proud to be a supporter. So, thanks for joining today. Yes, my pleasure. Yeah. So, let me set it up for everybody. There's been a huge amount of conversation around AGI of late. and I titled this session, AGI Threader Opportunity, large language models go fast or go slow, open versus closed, and there's a lot to discuss. And, you know, my view on this has been shifting over time, and I'm gonna be curious about whether yours has as well. You know, there's a lot of talk about artificial general intelligence, you know, where are we really right now in the development, how fast are things truly moving?
2:21and should people be concerned about it? We're excited about it. And other questions, can it be regulated? Can it be slowed down? Is that possible? And then I think an important conversation really to highlight what stability is doing is open versus closed. And then one final conversation, which is can we actually get to AGI using large language models or do we need to have another sort of structural transformation to get there? So shall we begin? Yeah, let's talk about the future of humanity in this gap. I love that. I love that. And you and I share the same vision of really creating abundance around the world, uplifting every man, woman and child, and really using AI for global education, global health, dealing with the grand challenges and slaying them.
3:19Let's kick it off with how faster things moving in your opinion and should people be concerned about the speed of progress right now? Yeah, I mean, I think every day those are the five of this, like what's going on and those inside of this are like what's going on, right? It's like everything everywhere all at once. Not only is it kind of all the smallest people in the world planning in on this, the 80 % of the research in AI now is in this generous to AI foundation model field. And if you look at the research paper graph from ARCHIV for MLP, this is a literal exponential. It's that people are implementing exploring and understanding these things like nothing else.
4:02The final bit that's really interesting is that clearly half of all code on GitHub now is AI generated. And the average code using co -priot, this was a micro study, it's 40 % more efficient. So if people are using the AI, it's a little better AI. And like that becomes a bit of an interesting feedback, right? Against that, there is the hardware question. And so there was a paper in 2017, attention is all you need, which kind of led to this boom about how to take AI from extrapolating large data sets. To instead paying attention to the important bits of information. Just like we do when we basic start creating principles or heuristic, right?
4:41It's had that that was very amenable to scales, so there was nothing that opened AI and others was just applying scale more and more compute, which happened literally at the same time as it's called GPU thing that Jensen had been building for years at Nvidia. So the previous generations of Supercomput chips were like GPUs and video ones in particular stacked on top of each other. But as you've got to a thousand two thousand chips, you've stopped being able to scale because the information should get back and forth fast enough across these. That has been fixed now as of this new generation that's about to hit the NVIDIA H100, the TPUV files.
5:16It basically scales almost linearly to 1 ,000 and chips to give you an example of faster super community in the UK, 640 chips. NASA has about 640 as well. And now you're building the equivalent of 30 to 100 ,000 chips to the computers using this new generation technology because you can stack and scale. It's insane. Now we've got about six months before that hits. And then GPT4 level models will be available just about, well, not anyone, but more and more companies. GPT3, when it was trying to, I think, took three months on the news, that was two years ago. On the new SEPA computers, you can train four of those a day.
5:56That's extraordinary. And so how many large language models are they're going to end up being, you think? I think they'll be a few. I think that these things are quite complicated. They're actually like game consoles. Like a lot of the chat GPT functionality was already present from the model over a year ago, but it just was a nice format and usable and testable. So you can explore the capabilities of that game console or game engine. The way I put that is because you look at the start of the Wii U or Face Station versus the games at the end of that lifecycle, exploring that space is very important.
6:29And people don't want dozens. So like we really stable diffusion our image model, when we're as far as the open source software ever, only five companies in the world that we now have created their own versions because why not just use the one that you have? To put the popularity in context, you're able to pick coin in Ethereum and accumulate to develop a size of about two months and the whole ecosystem now is overtaken Linux, which is insane for six months, you know, and yet only three companies got their own, because why would you? So I think in the future, it'll probably be just a handful of companies building proprietary models.
7:03Microsoft, the OpenAI, Google DeepMind, and video, a few others maybe, and then with the need as many open models in terms of models that you can see the code, the weights, the data, etc. Which is essential for private data. So Paul, the question ultimately is, it's great to have powerful, large language models, and the next generation that are coming online are amazing. And the question is, do we need more than that? Is GPT -4 equivalent large language models enough to give us sort of the benefits to humanity without sort of bordering on the existential threats of AGI? And ultimately, the parallel question to that is, are large language models sufficient to get to AGI in your opinion?
7:53Yeah, so we have to define what AGI is first because different people have different definitions, right? And AI that can do just about anything you need to do, though, half of humans are below average intelligence, right? The mathematicians, I mean, I'm not quite correct on that, but so you don't want to mean like the bar for average average is not that high and you see GPT4 passing the bar exam in GRE maybe it'll go to Stanford soon, you know, like it's it's getting there for these specific things, but it's not a gen toca yet. The way that we have is, you know, as we scale these models, they show emerging properties.
8:28And we feed them a crap the whole internet at the moment. So what we have at the moment are these models that are like really talented grads that occasionally go off their meds and we fed with crap. That's the base model. Then what we do is we do this thing called reinforcement learning with human feedback, where we tell it what are good and wrong responses. And we take these really creative models because you're taking catabytes of data, hundreds of teleabytes of data, and you're compressing it down just a few hundred gigabytes, like several hundred gigabytes and images, and the app was a two -megabyte file.
9:02Of course, it can't know everything, but you're telling me that you must know these things. So you reduce its freedom of creativity because these aren't thinking machines, they're reasoning machines, including them type principles, right? And then putting that mask on the front to real -climatize them to human. But you start with a very fragile base. And this is the concern on the scaling, because what happens if, as you scale it learns to lie in other things and it starts being agentically, don't know. Do you get to AGI though in terms of something that can be as capable as a human across some generalized set of principles that is better at reading manuals?
9:35You don't know if this is enough. It may be or it may not be. Well, there's a very seminal paper by, sorry. Yeah, and just going to say the thing that is interesting, of course, is the rate at which which these large language models are surpassing humans and coding capability. And I guess the question is, will it get recursive and allow them to improve on their own models? Yeah, you could say already now the kind of overall ecosystem, just like Bitcoin provisions humans to my assets, this whole kind of conceptual thing. It's really made programmers 40 % more efficient. Yeah, from that study. If you kind of can't get as a human computer hybrid type of thing.
10:13So if you get to a level of a human, it's one thing on an ASI is when you go superhuman, which we don't really understand what it looks like. There was an interesting paper I mentioned by Meta called Cicero where eight language models were combined together and they outperformed humans in the given diplomacy. So they convinced humans on things and that's today. So we don't know where this takeoff point is where it can get self -reversively better. we don't know when it gets to human level. It's just we can see it says good as an average human, like GPT 4 out of the box without tuning, can pass the level 3 Google programmer exam.
10:47And it can pass the medical licensing exam, you know, something which I never finished doing. I got through part two but not part three. It's extraordinary and that's this year and of course humans are not getting smarter, but every year we're going to see continued progression of all of these large language models. Can we take a second? I never, you know, I always tend towards the abundance side of the conversation, and I'm clear all the amazing things that these large language models are enabling and will enable. Let's just take a second to list people's concerns. What are people threatened by just so we can address those individually for a moment?
11:29What would be top of your list? Hey, relevant. So, you know, we talked to a lot of incredibly talented creatives and artists and programmers and others. The top level people love this. There was an MIT study that showed recently the 37th desk on, like 20 to 30 percent better writing reports, but the top 5 percent got way way better. And this is what we typically see with people and tools like the top creatives love this. Those who are not so good, it raises the average level. You know, so you have to get better and that's difficult for some people to embrace. Like, Lisa Dal being beaten by AlphaGo, the average level of the Go player has dropped up dramatically and he's got way better.
12:08You know? It's not humans versus AI. It's human plus AI versus AI in that sense. Yeah, or that's humans, right? Like, again, you either have to embrace it or you can get irrelevant very quickly and there are certain jobs that are sticky, you know, and there's certain jobs that are not. So regulated industries are quite sticky, but still like something like Indian BPL is probably not for basic programming. And so this is a real danger, it's a real threat. There are questions around you in the data sets being used because they typically are from scrapes of literally the entire internet. One of the rights around that, there are questions around the output as it computer generated is it copyrightable.
12:49And then there's finally the question of, Are we building something more powerful than a new code as an existential threat to humanity? What is a sweet pentatonic life? I remember Sam Altman wrote a blog and he said, I'm going to just quote from it. He said, some people in the AI field think the risk of AGI and the successful systems are fictitious. We would be delighted if they turned out to be right. But we're going to operate as if these risks are existential. And so now the question is if in fact you're operating as if the risks are existential, why are you building potentially existential tech?
13:31Right? I mean, that's an interesting conversation debate to have. Yeah, I mean, like you mentioned, ABC recently, because only a few people that can build this tech, right? And he was asked, if there's a 5 % chance that this tech could wipe out humanity and you can push about the stock it, would you do it? And his answer was, I would push about the slow it down, I would wind it back, we could turn it off. And that didn't make me feel too comfortable. Because my base assumption actually, was talking to you the head of a trillion dollar company, the founder, earlier this week, is that ATI will probably find us boring, just like it hurt.
14:10My favorite, my favorite AI movie, the one that was the most realistic and the least dystopian her that's great. Well you know broken hearts you know just like when Reckless hit turned off their boy friend girlfriend feature on Valentine's Day they broke 10 or a thousand of hearts. I think although that would be the case you know spoke to Elon Musk week and he said he thinks it could make the NGO curious then why would it have any reason to harm us you know because again we're interesting in some ways I don't think we're interesting but I could be wrong. Are you familiar I'm not with with Mo Gadot, who was COO at Google X.
14:46He wrote a book called Scary Smart, which I read recently. And his basic thesis is the large language models are progeny. They're learning from reading our content, which they are. And they're learning from how we interact with each other and how we treat our machines. and with good parents, and you and I are both parents of biological organisms. If they're good parents, and they see us respecting each other, they'll tend to follow suit, but if we are disrespectful and harm each other, they might tend to, at least in the early days, tend in that way. Do you know, people don't realize large language models are a reflection of of human society to a large degree?
15:37I'd be some ethical about you. So when WebSphere came about, we tried to create a system outside the existing system, and all the money was made in the most of the intersection. With these models, they literally trained on our collective consciousness on the internet. And it's the equivalent of taking a super -propercious kid, taking his eyes open and showing him everything. Now, what do they tell him about when it times, right? Yeah. So I think we should probably be feeding it better stuff and teaching it better stuff. But right now we're at the balcony before cutting point. So that's why we create, well, you know, you might have seen these memes about the shoboff, you know, this elder, weird, tentacle being.
16:12That's what it comes out of the oven looking like, this deep learning thing. And then you have reinforcement learning with human feedback, you tell it how to be human, you know, so that the shovels ground becomes more human, but there's still something lurking behind. If you did better stuff, I think is what we've got to do now rather than racing ahead because, again, I think we'll probably be fine, but I'm not sure. And these things I'll be coming one more capable because as you scale you see immersion properties. That's what it's all about. What happens when you've got like in the GPT 4 paper my god they said you know we experimented in a closed loop system giving it some money and telling it to go and make more money and it was higher in task -growing with people and things like that.
16:53I said that's not a good idea. You don't know what happens there. I don't know what happens. It's trying to create jobs for us. But then again, this is the amazing thing. So again, we don't officially publicly know details about GPT -4, but Nvidia said they designed the new T, the H100 and V -Length ones, chips for it. That's just two 80 gigabyte chips stuck together. It's 160 gigabytes of VRAM, has GPT -4 with all its capabilities in, which applies to about 200, 250 billion per hour to model. They're single, flash drive. That's crazy. So what does that mean when you start chaining them together and you get them to check each other's outputs and things?
17:34It tell you why it gets a lot better. And there's a lot more that I did particularly much discuss. But I don't know what the upper limit is even at this stage. And this is before, again, this massive ramp up to compute that's coming, whereby I know of clusters of H100s. So the fastest supercomputer in the world right now is, um, was it, uh, see it, about, see how, uh, there's a one X of lock computer. Our cluster is probably the tenth fastest public cluster in the world right now. Now, the new Synth computer is a 20 times faster, 40 times faster. Like, there, it's an insane pickup that then will lead to emotional properties.
18:11And this becomes again, I don't know what happens. We didn't know what happens, nobody knows what happens. I think it'll probably be fine. I could be wrong. 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, which is called hyperglycemia, leads to everything from heart disease to Alzheimer's to sexual dysfunction to diabetes and it's not good.
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19:35You 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, that I think are high quality and safe, and really impact a person's life. So check it out levels .link slash 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. So let's talk about the other question which has been the debate over the last week or two, which is, can we slow down development?
20:18Should we slow down development? I remember asking a question when I was God knows in college. I said, if Einstein understood what EMC E .Q .L .A .C. squared would lead to the nuclear bomb, could he have stopped thinking about it? Would he have stopped developing it? So the question that you mentioned earlier about Samol and being asked if there's a 5 % chance, would you halt it or slow it down? Can we regulate, can we even regulate against this because we live in a nation or a world of poorest borders and technology very quickly becomes globalized and we might slow it down but I don't know if other nations around the world would slow it down.
20:59So what do you think's possible here? Well, the question is would you turn it off, not would you slow it down, and you shifted it to I've slowed it down, which though is interesting. There's many of us, even now, that can trained these last models that are actually a handful. And if you look at again of the OpenAI EGI paper, they said it's time to offer transparency to governments, transparency on governance. So one of my big issues with OpenAI and DeepMind and others is there's no transparency on the governance of these systems that could overthrow our democracy. And that good killer sort. And I think they will, but I could be more.
21:31I think there isn't a slow down in thinking, but they can be a stop on training before this big ramp up. because people came back and said, what if Trimer creates an AGI? And I was like, they don't have the chips, they don't have the know -how, you see no evidence about it, and they don't want to overflow their system. They want to perpetuate it. And do you know what the best way for them to get an AGI is? Now, if someone with a flash drive into DeepMind or OpenAI and just download it, they get it, fits on a flash drive. Why would you bother? It's much cheaper to do it that way. So now, at the time, to put in proper governance, proper oversight, again, the OpenAI blog on this, lists a whole bunch of things that they see in the future.
22:09I think the future is now. You should do it now. You should put proper security systems in place if you think that's that dangerous. So you don't get leaking files going everywhere around these really awful models, which I don't think are optimal way to do things by the way, but we can discuss that later. And you did the six months ago, you could do this three months ago, and six months it'll be two late. So now don't talk about public debates about this, about systems that can take away our freedom, That's ridiculous all and everything in between. Did you actually sign that petition that was being circulated last week?
22:43I believe I was the only private company in AI part of Elon to sign that. Yes. I didn't agree with everything in that but again I think now is the time. And is a six month slow down the right thing? How do you define that versus a pause? So you're never going to get a pause because of pressure pressures. And for me, six months is the amount of time you need to get used to these new next -generation systems that are landing, that can scale almost instantly. So I was like, eh, it's kind of the right thing. And again, even six months ago, that was unstable to future press camera. It's been three, four months since ChatGPT first came out.
23:23You needed the permutation around the internet, and you're seeing things now like ChatGPT in band in Italy, right? You're seeing the House and have nots, and you're seeing competitive pressure. This is now a big business. It's effectively true in the local companies. It's not going to stop. So how's the time to start discussing this stuff? I remember when Uber was banned in France, and I was like, okay, we're going to start to label countries as pro and anti -technology. I mean, it's kind of insane to think that you can ban these types of technologies and still remain competitive on a national or global stage.
24:03Can we flip it over one second? The end point of all of this technology is to make us in one sense superhuman to allow anyone to be educated, to be a creative agent, to be extra healthy, adding decades on to one's life. You know, is the goal here of this level of AI development to allow us to work less, to be more productive, to create abundance on the planet? What's your vision of where we're going here? I think everyone in this building lists, maybe if that's some defense -coming assumptions, is actually doing this with good attention, right? Because they want to create something that can help humanity.
24:48Now some people want to automate humanity and you know like literally you look at some of the statements so some of these things and they're like well you know this will transform money and then we can redistribute it and like oh you're in charge of that. Other people like we want to augment humanity so I'm very much in the augmentation camp where I believe humans I can do this be anything and I'm like this allows us to scale humans we have solved that problem. It's still early stages with iPhone 3G stage, but any child in the world soon in the next few years will be able to have their own personal tutor or personal doctor.
25:22And this allows us to scale society as well because the good to the best was an amazing thing because it allowed us to take stories down and we're driven by stories, but it's lossy. You know, all those notes you're taking in your meetings and everything like that are lossy. Now the new systems, you look at the new office and teams and all the hostages that are using that. You know, you fill in the gaps, there's no longer lossy, automatically writes all emails and summarise and stuff for you. It can be that grad and he's generally on his meds. It's going to be pretty awesome, I think, and a real changer to the way that we all collaborate and achieve our potential.
25:58But if it's socialised and that's the only option, then it probably won't go so well. I think we've had a history of that. You know, well, how happens if you take an audience control by a few hands? Power is really effective. It's not really, really attractive. Well, and this is the power that's going to drive to a new global set of trillionaires. And I think a complete transformation of every industry. So let's talk about open versus closed. You very much, well, let's begin back now eight plus years ago when Sam Altman and Elon talk about open AI being truly open with a mission to help guide the development of the company.
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26:39of AI for humanities. And it began as a non -profit and then you know you'll put a hundred million in and he's pissed right now it's turned into a for -profit and is anything but open. And I love the fact that if you go to open .ai it doesn't point at open AI points towards stability. AI which is very interesting. But you made a conscious choice to build an open platform. Can I thought that ethics is the correct thing to do and it was a better business as well, because the value in the world is in private data knowledge and people want control. So again, ethics are grants that are conditioned off their meds.
27:18Using OpenAI or Google or Anthropic or anyone like that is hiring it for McKenzie, but you want to have your own ones. But then I think this technology had to be distributed. When I came in, as I was about cider, I've only ever been to San Francisco once before October and I have an entrepreneurial background. I talked to a lot of AI ethicists who were like, well, we have to control this technology and it has access to it until it's safe. And I was like, when will it ever be safe for Indians or Africans? I think it ever will be. And it reminds me a lot of the colonial mindset, you know, in access to technology.
27:52And I was like, this can really activate every child's potential, you know, and, you know, working with the ex -prize for learning our winners and deploying this with ImagineWorldwide .org, my co -founder Charity in refugee camps. I was like, How can I hold it back from these kids? Yeah, by the way, just for those who don't know many years ago, Elon Musk and Tony Robbins funded something called the Global Learning Exprise. It was a $15 million prize asking teams to build software that could teach children. In this case, in Tanzania, reading writing and arithmetic on their own, and Emaud was a partner in one of the winning teams.
28:30and you're now taking it much further, much faster, which is amazing. Yeah, we did the RCT, the randomized control trials, we asked her and others, and so in refugee camps around the world, 76 % of children get to live in Yunus, in 13 months and just one hour a day with the space exot, right? What if they all had a chapter of GPT? They will change the world, right? And so you figured out how to scale that to every child in the allowing and then across African -American in the next few years with the world back and others. And again, it was interesting again to have this session because things are very insular when you have power and control, and it's very tempting to keep power and control.
29:05And this is one of the things that had you view the world. Are we stronger together and we can deal with any problem, or do I need to be in the lead and control it if it's a powerful technology because people are fundamentally good or bad? So first of that's a scary thought. I mean, I fundamentally believe that humans are good by their basic nature and that the majority of humans are good and want to make the world a better place. But we do have to guard against those that have sort of a bent arrow. And that's why I look at what is the world's infrastructure going on? It runs on Linux. It runs on open source, mySQL.
29:45That's the most resilient. Windows is not resilient. Which is a very interesting analogy, I think. So how do you make money as an open source company? Oh, it's pretty straightforward. Every nation wants to have their own models, because this is a question of sovereignty. So we're helping multiple nations do that. And then every single regulated industry wants their own models. So we're helping them do that too. Working with cloud providers, system integrators, and others, lots of announcements to come. Private data is valuable, public data is less valuable, and they're a bit more racist at the bottom.
30:16So I think people are looking on the wrong side of the firewall. And again, we'll see that going forward, but they're not going to stop. Microsoft, Google, Nvidia, others aren't going to stop. They'll keep scaling. And now that there's actually revenue that can be generated in these models, you're going to be from research to revenue. Hundreds of millions billions will be spent on training. And again, I think the scaling paradigm is one of them where you scale these things up. I think it's setting correct one to get us to, let's say, a level of Asia. So major that I'm interested in is the human colossus.
30:46humans coming together to solve the world's problems or metaprocheology. I think the collective and swarm intelligence will beat an AGI any day. That's what I'm interested in. I think I'm in everyone with their own AGI. We're single person, company, country, culture in the world. We build a new intelligent internet that can solve any problem. Because a lot of our problems are information coordination and this technology enables that. So a very different view from most of the other CEOs of companies in this space. global collective augmented as opposed to official general intelligence that can replace humans.
31:20Let me just make a mention. We'll be going to questions from those watching and listening, for those listening in a few minutes. So you might, you know, is GPT -4 and its equivalence large enough for us to achieve what we want? Do we need to go to yet another generation? Can we build enough intelligence without tipping over to AGI? No, nobody will ever be able to tell you that it's less than 12 months to AGI because you don't know until it gets that new. I used to hate all the doom sares on AGI. My standard statement was always listened. I'm not worried about artificial intelligence. I'm worried about human stupidity.
32:09And to a large degree that remains the same. Right? And what we're going to see with all of the chat GPT and all of these large language models are people's stupidity being amplified and people's brilliance being amplified as well. And so the question is does it go out of bounds on the low side to cause us any real issues? No it's a dangerous point right now because you're not of these things where you people have powerful tools, right? I think when it does get intelligent enough, I think there's no way that we can perfectly align it because alignment is orthogonal to freedom. We all know people will be capable of us and the only way to make sure they do exactly what we want is to take away their freedom.
32:50I don't think a super agi will like that necessarily. But again, I think again, we're kind of boring. So I think that we are in this dangerous space now between those two things when it can't be self -correcting until you know, you know, Peter, So I'm like, that's stupid why you're going to do that, to be a dick. And these are dangerous powerful technologies that can be downloaded on a flash drive. And again, why would you bother training yourself when you can just take it and use it in really original ways? Again, I don't want to get too much detail, but it's probably not just deep learning. We've already implemented reinforcement learning, and there's all sorts of ways that you can create much better systems.
33:25Like the simplest one, just get two DPD4s to check each other's answers and it comes better. Yes, I'm surprised in that. You know, I have to say having you as a CEO makes me feel safer in terms of at least first ability AI. I feel you have a mission to build a strong, viable company while uplifting humanity and doing good in the world, which is important. and I think that has to be at the core for all of these companies because the technology is so fundamentally powerful. Yeah, I think realistically, SAU has an amazing mission, Demis has an amazing mission, Daria has an amazing mission. Like everyone is quite mission driven who are the CEOs of the companies that could build this type of technology.
34:18It's just none of us should be in control of it. I don't know how it should be, but I think this is the time for a public debate around and it's, and you know, everyone should realize that this is taking off, crazily. And that's what democracy is about, you know. I remember when I was in medical school years ago, restriction enzymes were first coming online. And there was a huge amount of fear mongering about designer babies and being able to clone children. And it was, you know, we're playing with God -like powers and we're going to lead to killer viruses. This is in the late 80s, early 90s. And there was concern about regulating and could this even be regulated?
35:03Because you could sneak out the restriction enzymes in a few picoleaders of fluid. And what came together was a series of summits called the Asylum of our Conferences in which the heads of the industries got together and self -regulated versus the government coming down on them. Have you seen that conversation taking place here at all? I think it's time to emerge now because we need to self -regulate as an industry. We need to make this transparency of our governance and how we make decisions like last year, OpenAI with Dali too, forbade every Ukrainian from using it and if you type into Ukrainian term, it's right to ban you.
35:42Why do they make that decision for you? Is there any redress? No. You know? And so we have to be really mindful about things like this and set industry norms. And now I think it's time to come together to be brazen. This is a big deal. I think we want to do it before it's forced upon us, but at the same time the discussion needs to be widened here, because this affects every part of life. It's kind of insane. We've never seen anything like this before, right? And we have to do it quick, quick, quick. And this is the last window that we have before again, everything takes off. So that's, that is one of, that's, I remember when we first met, I asked you, is this time different?
36:17Because we've been hearing about this conversation forever. And so you're pretty clear, definitively, this time it is fundamentally different. Do you know what I mean? Any coder that uses beauty for us like, wow, look at that. Like multiple times better, right? It's like the thing to write better than me, it can draw better than me, it can paint better than me. like I think people don't want to believe that things are different. I recently went and said to talk to this and this is a big eight -time insight in the pandemic because all information system flow changes like things that involve atoms don't change but so much of our life is about information and this has made a meaningful difference in that just play with it try and go and you can't go away with any other answer, I think.
37:01Let me sort of go down a few of these. We've talked about education, the potential there. If you would, five years from now, what's your vision of the potential for generative AI in global education? Every child has their own AI that looks out for them and customizes them. Are you an audacity learner, visual learner? Are you dyslexic? That's all information flow and you can fix all of that, right? And it brings students together to work together as well. Because most of school right now is a childcare system mix of the status game. That's why I think, Peter, we were having discussion before and and I incredibly smart and care the last question, you know.
37:42The way school says that it's cheating to use traction PT and I'm like, it's not a competition education, right? We made it a competition. And yeah, if it was about actuation. And so I think these things will fundamentally change the way when everyone's got their own amazing teacher, the young ladies and the straight up higher from the diamond age. How exciting is that? And the 100 % we can get there in five years for every kid in the world. Or just about every kid. That's amazing. That will change the world. For the cost of fundamentally electricity, which is getting cheaper all the time. Yeah, so let's play this way.
38:14GPT -4, if it does run on two H1 answers, as in videos indicated, is 1400 watts. The human brain is 25 watts. How crazy is that? A lot of room. That's the floor of my session. Yeah. Especially when we start feeding it junk. It's good to help next. You and I are both passionate about that. You've done a lot in your life in the health area. And I'm clear. I mean, one of the beautiful things is that all 8 billion people on their planet are biologically identical. So something that works for someone in India or Iraq or Mexico is the same that works for you and San Francisco. What's your vision there?
38:53Yeah, people are people just like education. If you have open source education that regards you guys, healthcare is the same. We just need to increase the information, density and organized knowledge. So when my son is diagnosed with autism, they said there's no cure, no treatment, that's a building AI system to analyze all the medical clinical trials and do a first and foremost analysis what could cause it. And then we did drug repurposing to immunotherapy symptoms. That should be available to everyone. You know, anyone who's had a condition where it's difficult, the process of finding knowledge is complex.
39:23And so our system is a girdic. It treats a thousand tosses of the coin the same as a thousand coin that's tossed in a row. Like, a percentage of the population has a site of per and people of 15 mutation. It means you metabolize things quicker. So your codeying becomes more fee. Those are the ones that die of fentanyl. How do we not even know that? And so we have all the tools in place now to have your own personal doctor, you know, to have all the knowledge and medicine aligned so we can see across and have that information set. And I think as we do this with longevity with cancer without signers, within 10 years we'll be able to cure all of these because the knowledge is all there.
40:02It's just not all in the right place. So everyone's trying to do their own things. The knowledge of clinical trials, the information leakage, it's ridiculous. We can capture every piece of information on that. Yeah, people don't realize that all of the failures in these trials is extraordinarily valuable information that is not captured and not utilized at all. The other thing just to hammer it home because those of you who know my work I'm focused on longevity, age reversal, how do we make us live longer, healthier lives. This decade is different and we're going to be understanding why certain people age, how to slow it, how to stop it.
40:43A lot of it's going to come out of the work that companies like stable stability and others are doing. Then we have quantum technologies coming soon, which are going to put sort of a fuel on the fire here. My guess is, when in five years or less, it'll be malpractice to diagnose without AI in the loop. Yeah, I think it'll be humans' trust AI. It won't be AI that diagnosis. Again, sure pilots for everything is going to be the way I think. Just like self -driving cars, I think are eminence in terms of getting to that level 4, level 5. And I think, you know, as 5, 10 years, it's going, you have to really put yourself in the road.
41:27You know, AI is better. You have an army of graduates that will become associates that will pass the bar, you know, that will pass their medical exams over the coming years. And it would most importantly replicate them. Yes. What people don't realize is every time an AI learns something, it shares it with every other AI out there as you update the models. And AI's are getting better every year while we humans pretty plateau after a certain point. The other thing I love is... Yeah, I think the thing I need to really drive up in here is when you're trying to track GPT and GPT4, that's just one of them.
42:01Imagine if there was a hundred of them checking each other. No doubt the outputs would be either better than you've seen and there's ten of them we're learning about everything about you. So right now we're like, single. Soon we'll be parallelizing these things. And just like, if you had 100 grants that were exceptional, you know, in generally good, all working around you, and you wouldn't have to, like, ever see them, your life would be better. When we were on stage at Abundance 360, we were talking about an interesting subject of who would you hire into your company and what background would you require if you're hiring someone into your company?
42:42And what is the most important skill that people will need in this world of exponentially growing AI? And your answer was passion all the way around. I mean, like this, we've had 15 -year -olds contributing to open -source code based 60 -year -olds, right? Because you don't know where it comes from. You have to be passionate and throw yourself into this because it's going so fast. If you're not passionate, you are able to keep up. And then you bring the latest breakthroughs to your company and kind of communicate it. and you can use the technologies to communicate it even better. They're just kind of awesome.
43:15They're all automatically presentations in slides for you. So I think passion is kind of the key thing, plus you know, level of intelligence and capability, but if people aren't passionate, they're not gonna be able to keep up here. And that's the key thing. Yeah. 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.
44:05And so twice a week I put out a blog. 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 you use you want to learn about and shape your neural nets with, go to demandus .com, backslashblog, and learn more. Now back to the episode. Listen, I would love to open it up for some questions if you're open for that. Yes, hi, I'm Amar Aodala. Hey, I'm Ed. How are you?
44:45First question, I'm Ed. Is how's your noggin doing? That's good, man. I had a bit of a friend of Eddas. My brain was jiggling for the last few days. I think it's happened all that. OK, please make sure to go check on it and make sure it's all in order because we need those neurons continuing to fire for a few more years to come. So this is my question to you, and I'm very curious about your thoughts on this one. We are clearly on a trajectory now where we're going to have Cambridge Analytica multiplied by a billion times. Assuming you're familiar with Cambridge Analytica and what they did, right?
45:22So now imagine on a website like Character AI where I can go and create characters that are digital replicas of people. like there is a digital replica of Elon Musk. And then if it was modeled very correctly, then I can now start playing arguments against it, just like AlphaGo played itself. And I would play it against itself for billions and billions and billions of iterations until I find the perfect way to get them to do whatever I do. So it's Alpha Subjugate. I can Subjugate any citizen to my well. And you said earlier, it's very tempting to keep power and control. How are we going to react?
45:59How are we going to solve that? There's a very big problem in my opinion. I'm curious your thoughts on it. Like how do we stop that from happening? That's going to happen. No, it's in notable, right? And again, it's pretty much now. Creative ways of using this for mass persuasion of that. You really get robot callers that call up with a voice of your grandmother saying it's a emergency now. And you can't tell the difference. This is going massive. And voice is very, very convincing. So anyway, you can do this is you have to build your own AI to protect you. I need to earn those AI as an initial look out for you, honestly.
46:39And then trust the authentication schemes, the Twitter tick on steroids. We have to move fast, fast, fast, fast. We're going to use our needs of replicants that come in here as well as being able to gamify that particular thing. We shouldn't talk too much about it because yeah. So countermeasures. So you're saying it's countermeasures. Right? Anti -virus, anti -virus. So we need something that is countermeasure at the speed that is catched this before it becomes much worse. So is that something that any of us are working on? Should we unify efforts to work on that? Yes, but we've got some things in that space.
47:16Emeralding. It's an idea, idea, anti -virus that we get. So to close it out that, you know, I'm fine with saying that world's biggest problems, the world's biggest business opportunities, and believe me, as that issue comes online, there will be multiple entrepreneurs looking to slay it. Oh, Mod, with Stability AI, one of the initiatives is OpenBioML. So I don't know if you could speak about, you know, best case, where is that going? Where are we going to be in five years if sort of your best case vision turns out for that? What will that look like? Yes, open -binders are a medical competition biology one, so we're willing on the main backers of Openfold to do kind of upperfold type things with Quest, DNA diffusion, to kind of see how DNA folds, BiOLAM, see chemical reactions based on language models.
48:05There's a whole bunch of things that I just think the opportunity is massive because again the data quality is poor, but now we can create some plastic data and we can analyze data better than anything. We could figure out how chemicals interact. The work of DeepMine and R4 was amazing. Now we can do things in silicone. So we can test chemical reactions, drug interactions and others that when combined with a knowledge based on all the medical knowledge in the world and research and able to extract patterns from it that are superhuman, I don't think there's anything we can't cure, honestly. But we've got to build this as a public common good in my opinion and give these tools out to the experts to use and unify.
48:44We have to be very intention. So open by and most just at the start now. And we also have Medark which is the healthcare equipment about doing like synthetic radiology and stampede in my to create more data sets of rare lung diseases and things like that. It's working great. So I think community commons is the way. And by the way all of this is how we create an abundance of health around the planet, right? The best diagnosticians on the planet are going to be AIs and the best surgeons will be robots driven by AIs and that then becomes available everywhere. And I just want to hit on a point that I think is important for folks to hear.
49:20A world in which children have access to the best education and the best healthcare is a world that is more peaceful, which I think is one of our key objectives here. How do we uplift every man, woman, and child on I want to ask a personal question here and it's something I haven't had a chance to ask Peter yet about AI And Peter I know that you and seemingly a mob generally have an abundance and optimistic mindset I understand your views are changing is the potential threat of catastrophic job loss concerning to you both and if so how do you potentially actually suggest people address finding meaning in their lives without consistent work or careers.
50:06I'd love to hear your thoughts Peter as I know you're typically really focused on this from an abundance mindset and also yours a mod. You're getting on your first? So yeah, so listen, I think we're lucky. Almost all of us here taking the time to listen to this conversation, our extraordinary lucky. We're doing a job, I don't know what everybody's doing, but I'm pretty much guessing. We're doing jobs that we love, that we dream about, that we're excited about. The majority of humans on the planet, unfortunately, are not doing what they love. They're doing what they need to put food on the table, get insurance for their family.
50:42So one of the things I think about is how do you use these extraordinary powerful technologies to self -educate and to self -empower, to go and do the things that you love, to augment yourself, to have a co -pilot if you want to be a physician, a teacher, a writer, whatever it might be, and that trains you on the job as you're doing the job. So it's going to allow people to dream a lot more. I think the only fear I have about AI today is what I would call its toddler into adolescent space. I think, you know, when AI is in its earliest AGI state, if we get there, before it's developed fundamentally sort of an ethical emotional capability, I think the more intelligent and general that systems are the more empathic and the more good nature there will be.
51:43I don't think, we live in a universe of infinite resources. I don't buy any of the Stopeian Hollywood movies where they have to come and grab all of the whatever off the planet earth That's bullshit. There's so much, you know, abundance of everything. I think we just have to deal with the early stages where humans are using it in a dystopian fashion or the toddler doesn't know its own strength. Yeah, I think that I think that the people who create new jobs and they're very fast. I think the pace will be picked up by a mixture of open and closed technologies as well. you see the innovation around stable the future and the language models coming out of things as well.
52:18I think I'm really excited about emerging markets in particular. I think they're leap to intelligence augmentations just like they looked over the PC to the mobile. That will create ridiculous abundance and value there because they embrace technology because they need to and they want to and there's amazing leap people there that just haven't had the opportunity to now have opportunity with this. So I think you know I think it's a bigger economic disruption than pandemic. I don't know which way but I believe it will be positive to be honest and you'll see points added to the GDP of India and other countries once they get going.
52:54This brought up a lot of questions really great conversation. The one that I think is most pertinent to me is after hearing you, Mad Talk, and I think Peter made the comment. He's thankful that you are one of the leaders of this and leading your company because you clearly have good intentions. You sound like a giver. You get in the Adam Grant, a given take sense. How do we control against the other players that have their fingers on the proverbial button, right? Because this like if you have people with really bad motivations and takers versus give, imagine Trump was smart enough to be a CEO of one of these companies, I mean that is terrifying.
53:38I prefer him out too. How do we control against that? Part of that, I think I'm an investor and really stage investor. I think it is incumbent upon investors to be picking good actors versus bad actors in who they back. So Note, because I'm glad that you're one of the good guys, but I'm sure they're also bad guys. I think actually the most dangerous are the good guys in some ways, like most of the evil in the world is not by people who think they're doing good. Looks not me, but you know, you never know. I think that the key thing here is transparency. If you are using powerful technology that has the ability to impact the freedom of others, you need to be transparent and you need to have proper governance and other things.
54:25Like, you know, we build up in the open, I think there needs to be some mechanisms for that. And opening up this style of bunch of them in a blog post without saying, whenever they do it, we need to implement that now. So that's really important. It's not just being open or closed. It's really being transparent and understanding of how the technology is being developed and utilized. and then having investors and governments, I listen, I never depend on governments for much of anything, but it's not bad to have a set of requirements that society holds your feet to the fire on. And this is the last time we could do that, in my opinion.
55:07This next period of six to 12 months. That is the single most important thing I've heard said, you might putting that time frame on it because of the clusters of H100s and the new capability that we're adding. What most people don't realize is that we're in this situation today with these large language models and deep learning because we've seen massive growth in computation over the last just a few years and massive amount of labeled data out there over the last few years. The ideas for deep learning have been around for 30 plus years. But it's just now that it's capable and it's adding fuel to the fire.
55:46So, yes, everybody, just listen up. The timeframe is now. But just a quick note, how do you make that a forcing function over other than just a letter? I mean, the letter, that's great. But is that really leverage? I mean, what's going to cause that? And what happens if they choose not to? And we don't pause for the next six months. Well, I don't think there will be a pause. I think they'll continue, right? Like there's nothing enforceable within that period. But I think that they will feel more pressure to come and build industry standards. And I think there will be policy responses literally like we've just seen in Italy, actually, BT is now banned in Italy.
56:24And on the flip side, you don't have chat GPT inside the Arabian. Why? Because I can now decide it not to. So we need to have some standards around this. Sooner rather later, it will be a mixture to a public pressure, government pressure, investor pressure and more. I think that's not easy, Matt. It's not easy. And then, you might, one of the things I truly hope is that your voice and one of the reasons I wanted to do this, this Twitter space conversation with you is I really want to hear your voice in this world of AI. I know how brilliant you are. I know how giving your heart is.
57:01And you know, we keep on hearing from Sam and Elon and others like Jeffrey Hinton and folks at DeepMine, but I'm excited to hear you lead in this industry. The general best I think again, everyone needs to speak up now. Well, it's the time. Hello, thank you so much, Ravmy, Peter, Imaj. Just had a question around community and I was wondering, you know, with all this kind of stuff happening with automation and things are gonna change, Do you think we can start leaning more into humans finding purpose in in -person events? I just want to hear your thoughts on that. What role does in -person events have in this new future?
57:43I love it. We're a pro -social service. No, I think we're a pro -social species, right? And now I can help us connect better with people around us. So we will come out with this COVID -19 madness. And now I'm getting used to really people in person. I think it's super important. You know, I think there was interesting thing as well, like the FS study in Argentina, where we're on the UNEDC cash handouts. They actually said universal basic jobs, pick your jobs for your community. And people loved it because they had purpose, they had meaning, you know, and what loads of women in the workforce, and they're like, don't give us back to direct cash handouts.
58:17People like being with people, fundamentally. And so we've got to use this technology to increase engagement with other humans rather and that one -e type future of the fact that the R headset, you know, just being modeled around. I think people like stories and stories from this together that's allowed some better stories. Yeah, up until now, connecting and building community has typically been almost a random process if you happen to be in the right place, if you happen to read the right thing or sign into the right community. Imagine systems that are able to proactively gather are people who are great matches and didn't know that they are.
58:58So I think we're going to see a lot of things accelerate in the directions that we choose. So what do we want and be careful what you ask for? Again, when we move into the book and the goods of that face, it's massively lossy to be able to capture some of the complexities of humanity. Like, you know, when you watch Moana, why does Maui pick up the sun with a fishing boat from the ocean? It's because it's all they have in me. And we can start to capture these stories of the world so we can better understand each other and engage all device -versa. This is up to us now. I have two very quick ones and pick your poise and you can answer one or both of them.
59:32But one is on the pause and development. So what do you think the implications are for the economic competition between countries and like should we even be looking at it this way? And then the other question is that the conversation is really sharply focused on AI right now, but I think the real power is going to be in the converging of different technologies. So based on what you're seeing, what do you guys think is going to be the next big tech to reach mass adoption, the way that we've seen with AI in recent months, that's really going to accelerate this sort of convergence with AI and create really interesting things.
1:00:11Cool. So on the first question, I'd say there's only two companies in the world that are basically building a AI and that's the UK and the United States. You're not seeing GPT -4 level models in any other countries. And so the Pools was basically those two countries. On the second one, I'm not sure. I don't know if it's actually Peter, because Peter's got a much wider view to me. So what's interesting is, I think about something called user interface moments, when Mark Andreessen created the web browser, it became a user interface on top of ARPINET. And it made it accessible and usable, right?
1:00:49We can see throughout time even the app store as a user interface moment. The ultimate user interface moment is in fact AI. So if you don't know how to 3D print and you don't know how to use any graphic programs, but you know how to describe what your intention and desire is you could speak to your own version of Jarvis. And I think all of us are going to have our own version of Jarvis, our own person AI that we've hypercustomized that we give permission to know everything in our life because it makes our life better. And you can say, listen, I'd like to create a device that's got a handle on it that looks like this.
1:01:28You describe it physically. And then your AR glasses or VR glasses, you're seeing it come together, being shaped. as you describe it, right? That technology's here today and then you say, that's it, print. And then it says, great. And then you say, add it to the store and it's available for anybody for free or for a penny. So AI is going to be the ultimate user interface for all exponential technologies from computation, sensors, networks, robotics, 3D printing, synthetic biology, ARVR blockchain. And that's when it starts becomes interesting because it used to be that you needed very specialized knowledge.
1:02:07Now, the knowledge you need is what's in your mind, what's your intention, what's your desire. And AI becomes your partner in implementation going from mind to materialization, if you think. I wanted to get emails and Peter's thoughts on something called the factorial paradox. It's in the game factory where once you learn to automate everything and build factories that are smarter than your factories You would think that the work for human decreases, but actually your work increases because now you have the whole map to expand to and I was wondering If there is a possibility that this might also happens with the adoption of AI tools that human labor might actually become even more more expensive and more rare.
1:02:53As we've kind of seen now, we've used, I mean, we've been using codecs has been out for a year after the code, as you said, you might now as generated by AI. Yet we're still finding it hard to hire people on stuff. So what do you think, what do you guys think about that? I think that's great. And I've spent thousands of hours on packed lorry, so I'm very familiar with that. And I think this thing, human discernment is still very important and human guidance is still very important. it's just as we build new technologies that lifts us up, right? And it adjusts where our point in that cycle is. So, you know, I don't think it will replace all, like I think I said, well, there's no more coders.
1:03:32There's no more coders as we see them right now. When I started coding, I brought the words that 20 years ago, when I was like, about 22 years ago, I was born from out of 17. We didn't have GitHub or all that stuff. We started using some version that had just come out. You kids have it easy these days, you know? Those who are listening, well, this kind of thing. So we get better and better abstractions kind of knowledge and the role of the human changes and it becomes more valuable because you can do so much more in half -as -I capabilities. I think that's the exciting thing rather than oh my god no one's got anything to do that just there getting fat and watching now and customise movies right?
1:04:06You know there's another part of the conversation we haven't discussed which is the coming singularity Whether you believe they're not, I feel we are moving very rapidly that direction. Ray Kurzweil described it, actually, Werner Vinz described it first, and Ray projects it to be some 20, 25 years out, the point at which the speed of innovation is moving so rapidly, you can't project what's coming next. And there's another book that I love called Zero Marginal Society by Jeremy Rifkin talks about what happens when we have AGI, and we've got nanotechnology and we've got abundant energy. Everything becomes possible pretty much all at once, everywhere.
1:04:50And we were making that joke on stage, you know, where I have a effectively a replicator, a nanobot. Materials are effectively abundant, energies abundant. Information is open source, so it starts to become an interesting world. And you know what I find even more interesting? It's gonna happen during our lifetimes. We can get into a long conversation about whether we're living in a simulation or not, but it's the next 20 years. You know, it's the next five years when all what we're talking about today is playing out definitively, but in the next 20 years, as we're adding decades on to our healthy life as brain computer interface starts coming online.
1:05:36things, you know, we thought things moved quickly this year. They're going to move. We're going to see, I think the estimate that Ray Kurzweil talked about and we've talked about at Singular University for a while is we're going to see a century worth of progress in the next 10 years. So what does that look like? And the biggest concern is I think governments don't do well in this kind of hyper growth in this kind of disruptive change. Young kids will do reasonably well, But governments, which are governments, religions are structured to keep things the way they are. Any reaction to that, you might.
1:06:12Yeah, I think they can perpetuate this data score. I think decision -making under uncertainty minimized from maximum regret. That's why it's up stability to offer stability at this time. So we can help out governments and companies and others and standardize the open source models and others that everyone builds on. It's the foundation for the future. I think that I'm glad. Yeah, and then I think, I think that, you know, just like with something I'm subsidiaries in every single country and they'll eventually be owned by the people of that country, we've got interesting things coming that will announce.
1:06:42The interesting thing you said that, like, why are it happening like this? You move, it's not more or more, right? This is like Pills more, Metcalfs more, it's like a network effect that's happening right now. And that's why you're getting this acceleration because network effects are really exponential. Where everyone's trying out this thing and exploring this new type of technology and sharing information back and forth quicker than anything you've seen. All these technologies happen to mature at the same time. So I can't see that far out. Everyone said, why don't we say 20 years? We just pull it out of our butts.
1:07:12We've just got some of the air, right? All we know is that things are never the same again. You will never be able to set an essay for homework again at a school, for every school in the world. And there's more and more of that that's coming. But these things also take time to fit into our existing system. So as you notice, you know, programming, code products, you have for years, it's got a lot of bets up, it takes time to integrate into workloads. It's not like it goes and takes over everything at once. You know, hands would take to get into things. Like 1 .5 million people still use ORO. You know, let's just note that still use around the world.
1:07:48I think it makes it 100 or millions a year. But this may change quicker than anything we've ever seen before, but it still takes time. And it's very exciting. It has changed quicker than anything we've seen before. There will be something that moves 10 times faster than it did. It is the most extraordinary and exciting time ever to be alive other than perhaps tomorrow.
1:08:14I just want to say thank you. I know your heart and I know your mission and I'm grateful for or what stability AI is doing. And thanks for joining me today and thank everybody listening and for the questions. That's probably my pleasure. I'm thankful to the community and I think it's gonna take all of us to guide this properly, you know? So just to embrace it, dig in, as you said, the most exciting thing ever. And if you haven't followed EMAD on Twitter yet, please do. He does tweet on a regular basis. And I pal, I'll talk to you in the days ahead. Hey, everybody, thank everyone. Thank you. entsche beste
1:08:59WHAT BOMB
From the publisher
In this episode, Emad and Peter hop onto Twitter Spaces to discuss the latest petition to halt AI training, if language models will lead to AGI, and what could happen if the power of AI is abused.
You will learn about:
20:08 | Should We Be Slowing The Development Of AI?
44:36 | How Do We Stop People From Abusing The Power Of AI?
59:28 | Is There A Competition With AI Across Economies?
Emad Mostaque is the CEO and Founder of Stability AI, a company funding the development of open-source music- and image-generating systems such as Dance Diffusion and Stable Diffusion.
Generate images with Stable Diffusion.
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