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Podcast Episode Summary: Should AI Be Open-Sourced? The Debate That Will Shape Everything w/ Mark Surman | EP #136
Podcast Overview Host: Peter Diamandis Guest: Mark Surman, President of the Mozilla Foundation Recorded Date: October 15, 2024 Episode Theme: The importance of open-source AI and its implications for established companies and society as a whole.
Key Participants
- Peter H. Diamandis: Founder, investor, and best-selling author focused on uplifting humanity through technology.
- Mark Surman: President of the Mozilla Foundation, leading the charge for a more open, equitable, and trustworthy internet, with an emphasis on ethical AI.
Episode Highlights
Introduction to Open Source
- Definition: Open-source software allows users to use, study, modify, and share software freely.
- Value Creation: Open source has contributed approximately $8 trillion in value over the last 20 years, acting as a foundational layer for most digital products today.
Discussion on the Motivations Behind Open Source
- Early motivations included "scratching one's own itch" - developers modifying software to meet their needs.
- As the landscape evolved, motivations diversified:
- Personal: Building tools that serve individual needs.
- Collective Utility: Established companies that leverage open-source to lower costs and increase reliability.
- Commercial Strategy: Companies like Red Hat that derive value by providing support and services on top of open-source software.
Public AI and Ethical Considerations
- Introduction of the Public AI paper, emphasizing the importance of making AI work for everyone.
- The challenge of balancing commercial interests with the need for transparency and safety in AI development.
- Exploration of how to engage the brightest minds in AI while ensuring adherence to ethical standards.
The Role of Corporations vs. Nonprofits
- Open-source initiatives can serve as a counterbalance to commercial interests, fostering competition and innovation.
- The episode emphasizes that open source should not be seen as inherently non-profit, but as a model that can coexist with lucrative business strategies.
Future of AI and Open Source
- Predictions include a rise in open-source options that coexist with commercial AI developments.
- The need for public investment in AI to ensure that advancements are accessible and serve the public good.
- The potential of open-source models to drive innovation and democratize access to AI technologies.
Privacy and Trust in AI
- Discussion around the challenges of privacy in the digital age, with a focus on how Mozilla is approaching this issue.
- Highlighting the need for technology that respects user privacy while enabling functionalities that require data.
Recommendations for Policymakers
- Suggestions for government action, including:
- Reforming antitrust laws to ensure competition.
- Focusing on evidence-based regulations for AI safety.
- Ensuring public funding leads to public goods that benefit society holistically.
Key Takeaways
- Open Source as Infrastructure: The belief that AI should be treated as a fundamental public good, akin to utilities like electricity.
- Commercial vs. Public Interest: The importance of a balanced approach where both for-profit and nonprofit entities contribute to the AI landscape.
- Global Collaboration: The necessity for cross-border cooperation in developing AI technologies that serve humanity, with examples from countries like India and Greece.
Conclusion The episode discusses the pivotal role of open-source in the future of AI, the ethical considerations surrounding it, and how both commercial and nonprofit sectors can collaboratively shape a more equitable technological landscape. Peter and Mark encourage listeners to engage with these ideas actively, whether through policy, development, or community involvement.
Connect with Mark Surman and Mozilla Foundation
- Mozilla Foundation: [Mozilla.org](https://www.mozilla.org)
- Mark Surman on Twitter: [@msurman](https://x.com/msurman)
Feel free to explore these resources for further insights on public AI and the implications of open-source technologies.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00There's someone who hasn't really captured the idea of open source. What does that mean? Most of the things you use today, whether that's made by Google, made by Amazon, made by Mega, or made by some startup, or made by some weird artists or made by your cousin, in most cases there's a bunch of open source underneath it. What are the motivations for someone to build the open source? The mythological, early open source motivation was scratch my own itch. I'm using a piece a software. It doesn't do the thing I wanted to do. So I get a modifier during it, I'm going to do something and like, I'm a nerd, I'm going to build a family, I'm sharing with other nerds.
0:38And I think that is still a part of it. Do you believe we actually have privacy? Oh, it's such a tricky question. We struggle with what is privacy now. We think privacy, what it means is gotta be involved.
0:55Welcome to Moonshots. Today we're going to be talking about the open source movement with Mark Sermon, who is the president of Mozilla Foundation. As president, he leads an effort to drive more open, equitable, and trustworthy internet, focusing on advancing ethical AI. What does open source mean that's our conversation. We're going to be diving into a paper they just released called Public AI, making AI work for everyone. I'm going to put the link in the show notes. And he also put out a paper recently on Trustworthy AI. I'll put that in the show notes as well. So if you've wondered what open source means, if you've wondered how it's going to impact AI is Lama truly open source, You know, dive in with me here.
1:46All right, let's jump into conversation with Mark. And if you like this podcast and the people I'm bringing to you, please subscribe. All right. Welcome, Mark Sermon. Before we get started, I want to share with you the fact that they're incredible breakthroughs coming on the health span and longevity front. These technologies are enabling us to extend how long we live, how long we're healthy. The truth is a lot of the approaches are in fact cheap or even free. And I want to share this with you. I just wrote a book called Longevity Guidebook that outlines what I've been doing to reverse my biological age, what I've been doing to increase my health, my strength, my energy, and I want to make this available to my community at cost.
2:27So LongevityGuideBook .com, you can get information or check out the link below. All right, let's jump into this episode. Mark, good to meet you in person, sort of, in this virtual world we live in. Sort of the person, yeah. As in person, most life gets these days. It's crazy, right? We forget how convenient it is that we can live this virtualized life and for me to have met you and have this conversation in the past. I would have had to literally jump in an airplane, fly to Toronto, in this case, New York, where you are right now. but we're living in this extraordinary world. So this conversation for me is an important one and I think I want to dive deep to understand what you think of as the open source movement.
3:17What does it mean? Why does it exist? What are its advantages and what are the trades, right? We hear about open source a lot. I've had conversations in the past with, We might talk about this with Elon Musk with others. And as president of Mozilla Foundation, it's an area that you are advocating for. Let's jump straight in. What is, for someone who hasn't really captured the idea of open source, what does that mean? I think at the very top level, it means that for the last 20 years, 25 years, however you want to talk about it, As we've started to build out like billions of us this digital world That there is a set of like a block that Anybody who's capable of using them or wants to learn how to use them can build something out of and I think that's a Define opensource in a second, but I think that's really the key piece is that underpending Most of the things you use today whether that's you know made by Google made by Amazon made by man or made by some startup or made by some weird artists or made by your cousin.
4:30In most cases, there's a bunch of open source underneath it. And that open source underneath it is the legum kit that has let so many creative people, so many startups, like go fast because they've got a bunch of staff they can take for free to start building something. And then on top of it, they might build something that's closed or they sell to you or whatever. So I think in that Lego kit, I mean, there was a recent Harvard study that talks about open source over the kind of last 20 years, creating $8 trillion in value. And so a critical part of the digital economy were living in, but the creativity part and the money part of it, come from the fact that we have this Lego kit.
5:12And so like, what is, we'll go ahead here. Yeah, you know, as you say, so we've got this this I think Lego gets a great description of it chunks of software that are available for anyone to use without cost for free Is it always for there's four things that it means and it's not always like always free as a beer to use an old open source is free as a speech. And so the four things that make a piece of software open source are you can use it without any income rates. You can use it without paying for it. You can study it. So that means you can look inside. It's transparent. You can see how it works.
5:54You can modify it. So you can turn something that you pick up into something else. And you can share it again. So you can share it again. It also means you can make money on top of it as long as you're not charging for the thing itself. And so, you know, that's what makes something open source under underneath. There's a lot of, how does that play out in the AI? I need to be going on right now, and we can get to that too. But that's the basics. Mark, thanks. But let me dig a little bit deeper here, because I really want to understand the core motivations and the core principles of open source before we dive into AI, which is equally important there.
6:28So, what are the motivations for someone to build the open source software? is it just curiosity and desire to help? And then one other part of the question I have, even the open source software that someone is building those Lego blocks right now, those are built using non -open source elements, right? I mean, at some point you go down and you're saying someone's paying for the bandwidth, someone's paying for the compute, someone's paying for the stuff that DARPA spun out and then Microsoft took over. Right? So it's not, as he holds, principle, it's not turtles all the way down. It's not open source all the way down.
7:13So there's some open source layers, right? So help me understand that and then the core motivations for people playing. Well, I think it's important and we'll get into this. I'm sure to distinguish between it cost money and it's open source. So all the way down, there's stuff that cost money. who in our time is worth something, even if we're not getting compensated in cash with the bandwidth, they can do the DARPA, all the stuff. And in fact, in some ways that cost of building it can either get privatized or can turn into public goods. And so that's the nice thing about the history of DARPA on the internet, right?
7:53It's this big public investment, which turns into these open protocols, open source, been open protocols, which run the internet, which are public goods. And so they actually take public dollars to tax dollars, turning just something that actually is open that everybody gets to benefit from. So I think we want to just be careful there. In terms of what are some of their motivations, they're really very, so if you think about what are some of those building rocks, Linux, or Apache, or Firefox, or Wikipedia, which is not software, but let's call it open source, I mean, he is a source of that software.
8:27We're an open AI, open source AI model, like, like, almost from the Alan Institute. There's a lot of motivations. I think the mythological, early open source motivation was scratch my own itch. I'm using a piece of software. It doesn't do the thing I wanted to do. So I get a modified or I'm gonna build something and like, I'm a nerd, I'm gonna build a thing I want to share with other nerds. And I think that is still a part of it, right? is like, I just need to make a thing for myself. It was really the heart of it. I think when it's Torval's, when he started Linux, it was some combination of I want a version of Linux that works the way that I wanted to work.
9:05And I'm going to make it. But then, as you go on, it absolutely is maybe a more collective or corporate or even commercially driven utility. It's the scratch my own edge, but at the level of a meta or Google or AWS, which is, I need a software stack that's going to run my cloud computing platform or that I can build a social network on. And lowering the cost and increasing the reliability of that is my absolute goal. I don't want to care about that thing. I just want to make sure it works and it costs me as little as possible and that it's as flexible as possible. So that's why say something like Linux, which is really under most of the things we use on the internet in terms of cloud computing.
9:53All of those companies I just mentioned put huge amounts of money or engineers back into Linux because it's the plumbing. And if they all basically collectivize the cost of the plumbing, it becomes the standard. It just works as much cheaper than buying salarious or Windows NT, which don't exist anymore. But proprietary things from the past, or from building it themselves. So I think there's a next level scratch, the edge, which is get the thing I want for cheaper in a way that works for me. And collective effort is the way that that works. And then there is an end where somebody's really building a resource as a business strategy on its own.
10:32And so I'm bread hat, and I take a lot of stuff that's already been built and leveraging everybody else scratching the edge. I'm building some other resource to glue it together, so it's easier to use Linux. And then I'm charging for software, I'm not charging for software, I'm charging for support, I'm charging for other kinds of services that allow people to use what's free in a way that's more effective. So I think you're going to have the personal pitch, you have the collective nature of the kind of infrastructure play, and then you have an open source business. So it's going to be interesting as we dive into the conversation around AI, and I'm excited to hear your thoughts.
11:12You recently wrote a paper called Public AI, making AI work for everyone. And I want to dive into that because there has been a lot of advocacy for open source and transparency in AI. And at the same time, there has been a lot of, how do I put it, giga dollars put into the field, a lot of capital flowing in. It's an expensive and energy intensive field. So I want to understand how the two can co -exist. How do you make it happen fast enough, safe enough with the proper motivations? And how do you get the smartest people, sort of the meritocracy, to work on it with the right incentive? So this is going to be our conversation for those listening who want to understand where we're going to go.
12:06And I'm going to play both the fan and escaptic on both sides of the equation mark if you don't mind. Please. So, you know, I've started, I don't know, seven or eight nonprofits over the years. And I've sworn that I'm never going to start another nonprofit. And the reason for that is the inefficiency of what I see as nonprofits. profits. And I run executive chairman of the X Prize, which I think is a highly efficient leveraged, you know, we put up, we've launched 30 prizes over 30 years, $600 million in competitions. But we've got to just struggle day in and day out to raise the money to convince somebody either with in kind or time or donations to fund us, versus build a business that is churning revenues and I reinvested.
13:07I've had an argument for years that Google, even though it's a for -profit, has done such extraordinary benefits for humanity making knowledge, leveling the playing field, making it accessible, democratized, and demonetized around the world, that if you tried to create that kind of capability in a nonprofit, I don't think it would have been possible given the amount of capital needed. So by the way, you can make the point first off that open source doesn't mean nonprofit just to begin there. You made it for me, Peter. You made it for me. So open source doesn't mean, no profits. We go back to your original question of like, you know, how does maybe they'll take us implicit open source compete or provide value or whatnot, you know, in a world where there's so much money on compute, it's so expensive to do this.
14:04We need the brightest minds, all of that. And I think the answer is twofold. One, you know, our vision of open source and certainly in a public AI, which is this broader concept, which get to in a little bit is that it's exclusive from proprietary or closed things. Open source has always done well in a world where it is a counterpoint, a complement, right? Or something that actually comes a little bit later and replaces some commercial innovation. So Linux really is thus a ver operating system and you don't have the solaris in Windows NTs. And that's because it just becomes such a commonplace thing that it kind of commoditizes as open source.
14:45So it's not to say open source exclusively. And then on that question, like how does that get finance or how does it come to be? Because there's not going to just be somebody in the basement who's going to create the Linux of the AI era, although lots of those people are doing cool stuff. You already see with LONGA, for example, that met a series of very clear interest in a video who's helping them. Lots of other companies who are in the open source AI space and IBM, us, that the idea of moving early to commoditize and collectivize what is effectively becoming commoditized infrastructure. Like a lot of what, I mean, I think you see the core innovations of transformers and LLMs are going to become pretty commonplace.
15:36They become commoditized. Isn't it crazy that the world's most powerful technology is effectively free. I mean, it just blows my mind. I mean, if you've gone back a decade and said, listen, you're gonna have these things called large language models. And you're gonna be able to ask any questions, ask it to create video clips, images, and it's perfect. And it's like the world's knowledge is that your fingertips and it's got, and then a company like Matt has actually putting it out there for free. Where the others are putting it out there for free. How much would you have guessed a decade ago that a license to that for an individual would cost, right?
16:14I mean, it's insane, it's free. Well, what's interesting actually is a decade ago, if I'd imagined this technology, I would have imagined it was free. Two years ago, I would not. So I think we were actually at a moment as ChatGT exploded, where it looked like all the stuff was going to be thrown behind APIs. Nobody was going to release it. Because there's a lot of open source that still is today. in AI all the way along, means it's how the innovation moves so fast, is you have researchers, scientists talking to each other writing papers, sharing their code. So 10 years ago, five years ago, I would have imagined there's a lot.
16:52And I think we got to a moment where really stuff went and closed and locked down. You think about opening an eye, taking the transformer paper, innovating, really boxing everything out, productizing it, which is good in terms of end user value. and really move quickly that in a lot of us able to kind of get out there and provide basically the same thing because I think you see that Manor is playing the Linux version of that or the Linux play. I was just saying, what's his motivation here? Is it catching up? Is it just taking a sort of adjacency that gives him a larger fan base or a different user base?
17:40Why did he do that? I think Zack's motivation is the same motivation I quit money into Linux is I'm not if I'm met in the LLM business. I'm not trying to be open AL. I mean the metaverse business or the social media a business or whatever business they're going to be in. And I need this current generation of technology to work as reliably and as a low cost as possible. So they put a ton of money in upfront. It's a big risk to have Lama be the Linux of the LLM era. But they're not just sounding every with Jensen and Zach where you know, India is supposedly putting 200 engineers into Lama. And so I think the idea is if it becomes the standard, everybody pitches in and it's a kind of Linux play.
18:28And so that's the motivation. I think the tricky thing about Lama and Meta with that is they've put in this thing that makes Lama in our view not open source, which is this weird license piece that says at 700 million users, it's no longer free for you anymore. It's no longer open source. And open source licenses don't have those caps. It kind of breaks the covenant of open source. Like imagine if Zach had built Facebook on Linux and when he hit 700 million users, then his tour will like shows up in Palo Alto, not with the bag. It's a giant bag. It doesn't work that way. And so I actually do think it's a, other things will emerge and this is actually gets to your question about nonprofits in a second that will be pure play of the source and that will actually become the dominant infrastructure.
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21:19What's that? It's interesting because we get back to that question motivation. Mozilla started in 1998. I wasn't around. I was a fanboy from the outside as the open -source project on top of the Netscape browser source code. So, you know, Netscape was losing to Internet Explorer and he'd been the first big browser after Mosaic and so they thought well if we put it out there maybe other people would run with it and you did have Red Hat and Sun and IBM, a bunch of other people contributing to the open -source version of Nescape which was called Mizzila. But what really drove it was for about five years before Mizzila Foundation even existed.
22:02It was just really a bunch of hackers around the world trying to beat Microsoft. So actually the motivation question was, these guys stole the web from us. They didn't even want to have the web. They didn't believe in it. And then now that 98 % of browser market share, they've got active X, so you can only use web pages really on Windows or inside the
22:32and I was like, oh, I'm going to show you. And eventually, it takes them five years. They get from this clunky, mazilla browser that was just a kind of a slight needle version of Netscape to Firefox. And Firefox is the kind of breakout. Like, let's make it small. Let's make it sexy for people. Let's put in pop -up blockers. And let's make sure it does JavaScript really well. which sounds boring today, but it was radical because what it became was the thing that allowed people to develop interactive web apps instead of dumb web pages. And the joke kind of goes like, what's the best version of Firefox ever released?
23:13Internet Explorer 7. Because that's the one that had JavaScript in it. And you know, until you had all the browsers working with JavaScript and You couldn't do Gmail, you couldn't do Facebook, you couldn't do Twitter. So that was the set of people they really wanted the web to be open. So Firefox makes a emergence and it takes on market share from Internet Explorer. But then Chrome comes along and begins to dominate. What was it that why didn't Firefox dominate and why did Chrome, what allowed Chrome to come in with such a fury? Well, the cheeky second answer to the joke about Firefox is the best reading of Firefox ever is Chrome.
23:58Okay. Because really the goal of Mozilla is that the whole system is open. And of course, we need to have a nice market share, which we don't today with Firefox, if you ask me, to be influential in our values. So the other thing about Mozilla is it wasn't just that kind of passionate said if people who wanted to counter up Microsoft that only focused on a browser. They had a bigger dream. They had the Medieval manifesto. That was really about the internet being in service of all humanity. And so the idea is we've got enough openness to shift the market towards being open and towards the tech working for people.
24:40And I would say Chrome came as the third real platform or after an inexplorer in Firefox, that was a boom. There was a period where we really lost the ball in terms of keeping up with the tech. And it's a lesson that is if you wanna have this mission, and it's gonna be true now in the eye, of making sure that the tech has certain values, you also have to be on top of the tech being great. And we just always stay on top of that. Isn't the tree also have to be ready for verticalization? I mean, Chrome has succeeded as has Gmail, as has Android, and a thousand other things maps because Google was large enough to verticalize and build interdependencies on these things that made it super convenient for folks to use.
25:33And I can imagine we're going to see even more of that with AI in that verticalization that deep stack up and down the user experience. It's an interesting question about where verticalization, which is a natural tendency and ultimately monopolization, which is something we don't want and is illegal in our society. That's a tendency that will emerge from companies that is trying to get as much caricature and as many things as possible. A disruption interacts because Microsoft also found to be a monopolist in its era had totally verticalized. right? They owned the server rooms, the database, they're trying to own the content.
26:17They're certainly on the browser, they own the office suite, all of that stuff. And they get disrupted by the web. And so one of the interesting questions is, you know, the web era, the smartphone era are verticalized as well. There's real tendencies towards that verticalization. And, you know, in the AI era, I mean, Gemini actually even being late to the game, I think, has a real advantage being built into all of the Google suite. What will come to disrupt that, and is it, you know, that we've gotten so far along that disrupting the verticalization becomes so hard or almost impossible. It's a really critical question right now.
26:56You know, I call me cynical, but I think every single company, every single product, eventually becomes disrupted because they become comfortable, right? I'll never forget about six years ago Jeff Bezos goes on an investor call and says yes in 30 years Amazon will not exist anymore or some some quote like that right saying I don't know if he's trying to scare his employees or we're just doc is stock price but it's everything gets disrupted right FedEx I mean the dominant you know overnight carrier as we see what Amazon has built now one of the questions is there There is a situation where a company, a for -profit company with a great leader, motivated employees just do a better job and they can reinvest and they can, as a meritocracy, just continue to increase their capabilities.
28:00And yeah, you don't, I mean, there's a different kind of monopolistic behavior and being a monopoly, right? If you have the best product in the world and everyone loves it and guess what? You've got 99 % market share. Is that a monopolistic behavior or is it a monopoly or are you just providing a fantastic product and service? This is the tricky question before the court. It's on a number of topics including right now. It's a great product. So I mean that's I guess for as we evolve our monopoly laws for us to figure out ultimately what you want from antitrust regulation is competition and the opportunity for people to come in and disrupt.
28:48And that's where I know that you'll be cynical and you're being hopeful when you say ultimately every company is going to drop it. I believe it because every company gets fat, dumb, and happy to some degree. New technologies constantly, that's the laws of physics or technology. We just have constant, we're in a super exponential period. I'd say the day before something is truly a breakthrough, it's a crazy idea. We get disrupted by crazy ideas that a company that's reporting on a quarterly basis is is unwilling to take, but some entrepreneur, some place is willing to, they have nothing to lose.
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29:31So we'll take the bet and oh my god, that's incredible. Well, probably that maybe five or 10 years before, not the day before, it takes up an annual. Yeah, I'm being mean. I'm being mean, Jeff. But I think your point is right. One of the things I want to pull in, and it goes back to the question I didn't answer earlier, but also on this, like companies are going to want to grow in this way, is there also There's a question of disruption to what end, right? So some people will come in and disrupt because they've got a great idea that they want to build a company. And capitalism and companies are great at solving certain problems and creating public good and even public goods, you know, things that are shared in common, contributing to Linux, all that stuff.
30:12But there also are things to your question of like not starting a nonprofit. The companies are just never gonna be good at. And so that's where when we talk about public AI as a counterpoint, I don't think that a company is ever going to be good at what has happened with Linux, which is a collective public good that all the companies who build on it and researchers and everybody governments build on top of. And for all it's a pain in the ass of Linux foundation struggles who's getting enough members, that is a form of social organization that lends itself to being an independent third party. Unless you want to give it a government altogether, that's another form of social innovation that has its purpose.
30:59I would call myself a libertarian capitalist, so that's right, it's been towards. I'm an old punk anarchist, and sometimes we'll have some calling cause there. But I think that the thing is, you know, what social forms or social organizations are helpful to what innovation and accelerating what innovation. So, you know, do you, are we happy that in addition to NBC, ABC, CBS, we also had PBS in the broadcast era. I think it took on a role that the commercial players were never going to take on. And so to me, the question at any point, including the... But innovation comes in and YouTube comes online.
31:42Great. And then we don't need PBS or DBC or CBC. And so when we have a government formed provider, right, I would rather have complete and total open access for anybody to provide whatever they want. But that comes later in the process. And I think the question to always be asking is, what's not gonna happen if you just leave it to the market. I think that's a very fair and a very important question for humanity's benefit. Everybody, I want to take a short break from our episode to talk about a company that's very important to me and could actually save your life or the life of someone that you love.
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34:33It's one of the most important things I can offer to you as one of my listeners. Alright, let's go back to our episode. So I want to jump into your public AI, making AI work for everyone. And I pulled out five points and I'd love to dive into them a little bit. But I think that entrepreneurs listening to our conversation here, there are a few different debates going on in the AI world. One is we'll digital superintelligence destroy humanity. That's a great debate. Not going to have that conversation right now. We'll let Paul hold the jobs. We can have it out. I'm happy to have it. I want to thank over and out.
35:13We'll let Paul hold our jobs. Will they help us create longevity and fusion? The answer is yes, but we'll look it back to that later. But the question of how do we assure safety and transparency and who's responsible for that? I mean, these are fundamental questions. So here's the first point I've written down, and let's discuss what this means. So AI development is dominated by commercial interests. Why is that a bad thing or is that a good thing? Well, I think that commercial interests are a part of driving the innovation is a great thing and You know you often have these dances thinking about the internet overall which mean You know non -commercial research like deep Innovations or whether that's DARPA and the internet or CERN and the web They then you know you actually figure what to do with it and there's a lot of commercial drivers of innovation from there.
36:17And then, you know, off and off the words, there's a role for what is a commercial player not doing where, you know, you take Firefox or Wikipedia or Linux as examples where the nonprofit players come and play a really hugely social socially and economically beneficial role. So, fast forward to today in terms of AI, I think it's great the amount of commercial innovation that is happening. Commercial dominance is a different thing than commercial innovation. And so, it's where what we see and want to accelerate is that there are also, it is a public option that complements it. Not, you know, just said a kind of motherhood in Apple Pie, but because it is really important and then doing the things you're talking about before, what won't the market do on its own?
37:04And so some of the things the market won't do on its own is I don't think it'll pay attention to safety in a way that is actually broad enough for us to be safe. I think people trying to corner the market on safety is actually a dangerous, I mean, you might get some good stuff out of it, right? But if we actually want to protect humanity, the idea that there's one or two vendors or 10 vendors, like, cornering the market on safety is a dangerous game for humanity. Having an open where a lot of different players can pitch in on safety, see how stuff works under the hood, I don't think the market is going to drive that on its own.
37:43But isn't that good? I agree with you it's a key piece but isn't that the role of the government versus open source or any particular company, you know, when I think about why governments should exist and not, and where are they not overreaching, and this is a delicate balance, safety for the population it represents for me, whether it's safety from armed forces or police or regulation is like the most fundamental thing I think a government should provide. Do you agree with that? Absolutely, and we haven't figured out, although I think we're actually zooming towards it, if the American political system worked at all, it would be easier.
38:36Having that regulation is the role of government. What are the guardrails? So you know, we take something like the evolution of transportation and happy there are traffic laws and safety laws and that is the proper rule of government and building cars is the proper rule of the private sector. Public transportation is a thing you know that kind of sits in between. So I agree providing safety, absolutely you know regulating the guard rails on safety, absolutely in all of the government. But jump to AI, one of the critical things I believe and we believe in those regulations working is transparency and the ability for people to collectively tackle the safety problems in order to comply with those regulations.
39:22And so the whole history of open science and everybody looking together to drive AI forward, you know, with enough eyes, all bugs are shallow in that old open source principle. to me, that's actually the more likely going to produce an outcome that lines up with that regulation. It's not a government's job to do the implementation. On the flip side, on the flip side having a few people try to corner the market in compliance with those regulations and what safety is and lock it all down, some of those could be useful players, but I don't think that's enough to keep us safe. My bent again is towards entrepreneurs to solve problems.
40:03I think about, you mentioned transportation, I think about the, you know, in the space industry, which is my earlier part of my life, you know, it was Lockheed and Boeing, sort of the large defense contractors that were launching humanity into space. And here comes, you know, and they were dominant by, by far, right? and the government is building the space shuttle under contractors. And then here comes Elon as a disruptor and captures 99 percent of the market. Right? And the other companies will go, the only reason the companies are exist is the government likes having a second supplier in place.
40:43But we'll see, we'll see relativity space and, and Bezos with Blu -Origin come in and those will become the second suppliers. But I don't think you could have ever gone to the level of innovation and brilliance in a governmental program or a government driven program. It was like just getting the very best people on the planet and forcing them or focusing them to take huge risks in innovation. So the question is, can you get that speed and energy in open source or is it some segments of open source and not others? Well, I think open source and governments are different. So I think the role of governments is you have to create guardrails or to fund public goods.
41:35And so, you know, somebody who is thinking about DARPA, finding public goods, I mean, you got a lot of innovation and to some degree speed, or there's a long game out of the government's playing that funding public goods role. You can get that in open source. I do think the role of of the source often is after some of the high speed entrepreneurial innovation happens. So you see Linux tons like 10 years, a half a generation after Solarrus or Windows NT and it's like we want a different thing, we want to collectivize this and make an infrastructure. Firefox comes 10 years after Netscape. We keep eating it comes 10 years after in Card -Tank but it's just a high one of those CD -ROMs you know you get a prize.
42:18But I think the role of open source is actually to create often the more valuable public good version of what has been driven by commercial innovation. So on this first point of AI development is dominated by commercial interests. So that is a truth and is continuing should that be dissuaded, should that be, you know, So the answer is so what and what do we do about it is the question. Yeah, and the so what is and you won't get to the public goods you need in terms of keeping the market open for smaller players in terms of researches and terms of safety. I think you need open source and truly open source that operates in a kind of way that we all have access to and doesn't get kind of off it.
43:08But if the open source, if the open source is wide, yeah, please. So I think in the so what and how if you would and how that should go. So the wise things like maybe I already talked about them. We have the link of box for this era. We've got the ability to have transparency for safety. How, you know, maybe corporate players actually even drive that and I think them corporate players are going to two by two major, X they have, which is like open closed private, you know, commercial public. And you see different people, you kind of down in the commercial but open, you have met up trying to play.
43:46I think that's good. In the long run, I also want to make sure there's stuff that is kind of owned in common. So you have people like the Allen Institute, which was set up by Paul Hall before he died. I'll need to pray. I - Which he made the money to fund that from a monocholistic executive. Yeah. You have a tax system that supports from have to be in America. So that's what is supposed to happen. So, you know, he really believed in open air, he really believed in open source AI, and you have an amazing high -altrow -body leading that. I think that could become the Linux or the Linux foundation of this era.
44:28And so, you know, both of those are useful players to kind of have out there. I do think one of the critical things that we're missing right now is in every Western in country, you're seeing huge amounts of money being thrown at compute or huge kind of looking at how we're going to deal with energy and AI. And to me, we really should make sure that those government dollars go to public goods. So if I'm giving you huge amounts of compute as a researcher or even a company, that should produce open source out the other end of the process. If public dollars pay for it, public goods should come out of the other end.
45:05Yeah, I mean, my most talk is made a, you know, a statement which I really liked, which is this is infrastructure. This is fundamental, the compute is fundamental infrastructure for every country. And every country should own its own models and its own infrastructure. I mean, it's going to become oxygen electricity for information. I think it's, I agree with them 100 % that it's infrastructure and it's not just the the computer. It's the model, it's the whole stack. We did a big paper on that with a bunch of other people, including Yanlecun, was a part of it at an event last year or earlier this year.
45:44And one of the things I would be really careful of is not to think that it's national sovereignty, but actually, you know, I think the democracies of the world building the system that is open to control by them. And you're going to have the Spanish language love. You can have the Spanish, large language model or the Italian or the French or whatever on top of a shared pool of infrastructure which is effectively AI built that is open source and foreign democracy. But I actually think that that infrastructure is something that, as a set of countries in the world that have a certain set of values, we want that collectively that we can all be known.
46:24Where do you come out in the discussion like we need to go as rapidly as we can because we're in a fundamental race with China? And that fast as we can is going to be, you know, government and investors pumping money into for -profit companies that have employed the smartest people on the planet. And this is a race for the, for, you know, principles of freedom. So, I agree we got to go as fast as we can to build a technological society, including an AI stack that is driven by freedom and pluralism and values that I hold dear. And I think private companies are a part of it. I also think public AI is central to it.
47:07I mean, we talk about public orientation, public use, public goods. And that public orientation is, you know, how do you put the intent of pluralism and democracy into the design of these products and test against it over time, which is about safety, which is about who gets to contribute all those things. There's a great book, or I mean, it gets only a digital book, which maybe that's all that matters right now, by Audrey Tang, who was the digital minister for Taiwan, talking about you actually can build. I mean, they basically have people who are very focused on private wealth and China, which is very focused on a particular totalitarian approach, shaping AI in their own image.
47:52What we don't have is a high -speed fast approach to how do we build democratic pluralistic AI? I'm kind of going to buy into that. Yes, go fast and go fast not just to back somebody owning the market in the West, but go fast for something that is a set of players building something that supports democracy and pluralism. and you make money off of it. Real quick, I've been getting the most unusual compliments lately on my skin. Truth is, I use a lotion every morning and every night religiously called one skin. It was developed by four PhD women who determined a 10 amino acid sequence that is a synthetic that kills senile cells in your skin.
48:35And this literally reverses the age of your skin and I think it's one of the most incredible products. I use it all the time. If you're interested, check out the show notes. I've asked my team to link to it below. Alright, let's get back to the episode. I mean, there is a scenario where companies and the best meritocracies are tracking the very best people with the most capital, the most compute, are building the best systems, and then the government becomes a user of those systems to support its people. In the same way that NASA didn't build starship, you know, kudos to Elon for Flight 5, but it's going to become when the largest users of starship.
49:22So can we deliver on the public good with private, private models and private companies? Yes, and I think there's always going to be stuff that private companies don't do. And there are a front -end companies who play totally in a black box, like company I, and private companies that play in a way that, for their own interest, also benefits the public good and creates public goods, like Meta is with Lama. And so I think there's a, you have to take a new one's view on how do you get to that stuff. And our view is you want both commercial and government and nonprofit and open source community players all pushing towards this kind of pluralistic open and public AI option.
50:16Alongside everything else, not too exclusive. Alongside everything else, it's not exclusive. I get it and I agree. And as long as, you know, again, the government is not mandating, but it's enabling the emergence of those resources, of those open source teams and perspectives and so forth. I mean, that makes complete sense. And can I ask another question? Because I think privacy is one of the main, is it a big driver for Mozilla, yes? Absolutely. Do you believe we actually have privacy? Oh, it's not a tricky question. So privacy is a core. And it's something like an individual's privacy and security is sacrosanct.
51:10It doesn't quite say sacrosanct, but is the end of the manifesto. It's one of the core. I know. And we struggle with what is privacy now, because for us, privacy was make a browser that collects no data about anybody and minimize data as much as possible. And we all know you can't make digital things now without data. I mean, it's as fundamental, more fundamental than code. That's why AI is, right? And so what is privacy in that context? And so that's a thing to work through. I do think it is built to go back to the question of like public orientation or building in values. Looking at how you build technology, AI technology that doesn't undoy expose information about you or let you opt into things that are more private.
52:03So you see that with Apple Intelligence in trying to do more stuff on device and lean in that direction where it doesn't mean I'm a completely private individual, but there's So I understand if I want to keep close to myself. And we've actually funded through Mozilla Ventures, a company who's building basically the open source equivalent of a upon -telegence called Flower AI. So we think privacy, what it means is got to evolve, is got to have a lot more to do with sort of, how you think about privacy in your physical life, which is, oh, I'm going to close the blind names or I'm going to talk a little quieter.
52:38Like, there have to be ways that we can express on your desire to be seen and less seen. The digital world we're building. I just, you know, it's, what hits me is I've got, I'm gonna whisper it so she doesn't come alive, you know, Alexa listening. And she's listening all the time, right? I've got Siri here listening all the time. You can have an AI with a camera, read my lips from, you know, 100 meters away. you can shake my hand, grab a couple of skin cells, and sequence them. So, you know, I think to some degree, you know, privacy is an illusion that we like to believe in in the questions. One of the reasons we talk about trust and trust were the eye as well.
53:23So it's not about trust. So you can build that into the technology that the stuff is local, or the cameras turned off, or that whatever. And do you trust or have enough control yourself to believe that that's true? So there's constraints that can be put on all the things you just talked about. And a lot of it is either I fully control it, which is pretty hard in today's connected world as your super technical and willing to kind of put yourself on a very, you know, in an island. Or the you trust the parties that are providing. That's what Apple is good at. It's what Mozilla has been good at. Historically, I think we want to be good at in the AI era.
54:05We haven't talked a lot about where we're going with our own AI work, but it really is in the trust of really space and in the open source space. Because we think there's a lot of desire for those things. Let's say the next President of the United States comes to you and says, what are the policies you'd like the White House to enact? Do you have a clear set of recommendations? Yeah, I mean at the high level they're pretty clear. And would you share? What's interesting actually is despite that you can't get anything done, I'm Canadian, so I can make fun of the US political system. Despite that you can't pass laws, I do think you have a lot of bipartisan commonality on some of these topics.
54:47And so I think one is the antitrust law works in today's era. We haven't figured out how that works. But I think so there's space for entrepreneurs, so there's space for innovation. And I do think that's a critical thing to figure out for this era. The second is we figure out what on the right, AI, and privacy guardrails. And that's where Europe hasn't gotten it perfect. But they have a little bit right in that where they focus AI regulations on uses of AI like it's not Let's you know regulate all AI. It's like if I'm gonna use this for something that might be sensitive or dangerous or harmful Let's have guardrails on that.
55:30So we're gonna do a better version and that's you know for humanity to figure out But I think regulating that and then the third is Making sure that that animation funding is going to public goods is going to stuff that everybody can use and Frankly also that it's going to regions other than just California and Washington State. Because really one of the other things about open source is the idea that people get in and eat from anywhere. And I think you see not just corporate concentration if you companies, geographic concentration in a few places. And I think it is an opportunity for government if it's putting resources out there to spread them widely.
56:10Yeah, I mean, but I do again go in my aerospace route. So I remember, you know, NASA's space projects would be distributed among 30 congressional districts and companies, you know strategic policy was to move in a congressional district that had no aerospace supplier so they can get the contract, which makes for a lot of inefficiencies. Yeah, for sure. The good news is that we're talking about, you know, It's not worse. Yes, yeah, that's a sure. A lot's changed from there. What other policies? How do you, you know, so the question ultimately is, how do we regulate it to make sure we don't have, you know, disastrous outcomes?
56:52And how do we, you know, how do we sneak up against AGI, whatever that is? And maybe we pass it already, or digital superintelligence that disrupts the way of our lives so rapidly that it leaves our headspinning. Do you have any recommendations? There's two answers to that. I mean, I think one is just keeping an eye on the ball. And you saw this in the debates around SB 1047, the AI Safety Law that knew some veto to know the recently is really the post -words we need to build an evidence -based way to kind of look at where the real risks are and where they're not. I think it's back to like we should be regulating against risks and not just generally against, you know, amorphous fears.
57:40So it's urgent, it's important to kind of have regulation that can do that and needs to be grounded in evidence. The thing that is actually much trickier to fix, and I don't know how to fix it is we have a bureaucracy, we have political systems, designed for the industrial or even the pre -industrial age. Let's, you know, wrap on a conversation about what your prediction is on open source. What is your hope on where this is going to go? Well, my prediction and my hope are the same. And I hope my prediction comes true. So, you know, my prediction is that there will be a public option, an open source option, and that you'll see both coexisting.
58:23But I also think that the infrastructure layer that the people who are just trying to do the commoditized fundamental stuff will not be the ones who win commercially. Netscape doesn't exist anymore. So I don't know if there exists anymore, but certainly they're not the definer of the ecosystem that they were. So I do think that the infrastructure, the building blocks, to get back to that I go, Kit, we'll be open. And I think that will benefit us all if it can be true from a safety perspective, from an entrepreneurship perspective, from a safety perspective, from an entrepreneurship perspective, from a general creativity innovation perspective.
59:03So that is both my hope and my prediction. I guess the hope I layer on top of it is that we can be smart enough that if we're spending public dollars anyways on things I compute, that the government plays a fueling rule in this as it did in previous eras, and that that's something it does with intent as opposed to a kind of constraining rule and trying to micro -manage things. One last aside on here, I just got back from India, which is a nation of 1 .41 billion people, the largest on the planet, and a nation that I think needs AI for its survival. you know, you cannot provide the education and health care to the, you know, there's a hundred million people that are the tax base for the nation.
59:55The rest are in some degree of poverty and the only way you possibly provide health and education to them at scale is going to be AI on top of, you know, the GO 5G network that's there. And then I go to Greece and I meet with some leadership there and they're like, you know, help us get AI going. So for a lot of nations, right, that are not AI -centric today that are looking and feel and know that they need AI in their nation to compete and survive and thrive. How does the open source movement support them? Well, I think that is actually the core of public AI and why we were talking about that beyond just open summers, right?
1:00:43The three things are public use, public orientation, public goods, public use is like, use this stuff to deliver healthcare and education. We have to figure out how to do that well. And that's where the public orientation comes in, like build it in a way that is enabling of humans. And Darren, Darren, I come mow glue, I never get his name right there. We just won the Nobel Prize for Economics, talks about machine usefulness, right? So like, how do we actually make this to help people to humans to public hands. And then the third piece is public goods, and that's where open source comes in. It's like, let's, as we do these things, build into a commons, and certainly this government should do that, so that what India does helps grease and what America does helps India, and that that virtuous cycle begins.
1:01:28And that, you know, that's something where the best kind of human progress, I think, has come from, you know, those things on color heading up together. Mark, before we sign off, where can people find you, follow you, and find Mozilla Foundation, and how can they be involved? How can they support your work? Easy to find Mozilla at Mozilla on XTwitter, whatever you call it these days. You can find us on LinkedIn, you can find us at benzilla .org where we've been for 25 years. I'm just at a sermon on Twitter and LinkedIn, not in other of those places often, but you can find me there. And I think how you can get involved, it was really just looking at how does public AI this concept of AI and service humanity benefit you, even figuring it out selfishly, and then how do you get back?
1:02:18If your building software can be open -sourced, if you're a policy maker, can you make sure that public dollars go to public goods and so on? Amazing. Mark Sermon, an open source warrior to benefit humanity. That's my new brand for you. Thank you. I'll get the t -shirt printed here right now. Thank you for your work, Mark. Pleasure to meet you. Thanks for the conversation. Likewise, thanks for having me on Peter.
From the publisher
In this episode, Mark and Peter discuss why Open-Source is the future of AI, and how established companies should be thinking of AI.
Recorded on Oct 15th, 2024
Views are my own thoughts; not Financial, Medical, or Legal Advice.
Mark Surman serves as the President of the Mozilla Foundation. As President of Mozilla, he leads efforts to build a more open, equitable, and trustworthy internet, focusing on advancing ethical AI through initiatives like Mozilla.ai, a commercial AI R&D lab, and Mozilla Ventures, an impact venture fund. Previously, he spent 15 years as Executive Director of the Mozilla Foundation, growing it into a global force for digital rights, open-source advocacy, and internet health. A recipient of the prestigious Shuttleworth Fellowship, Surman has delivered keynotes on five continents and is regularly featured in major media outlets discussing the future of AI, open-source technology, and internet privacy.
White paper on Public AI: https://blog.mozilla.org/en/mozilla/ai/public-ai-counterpoint/
Creating Turstworthy AI: https://foundation.mozilla.org/en/insights/trustworthy-ai-whitepaper/
Status Update on Creating Trustworthy AI White Paper: https://foundation.mozilla.org/en/research/library/accelerating-progress-toward-trustworthy-ai/whitepaper/
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