[0:00:04] Hi, everyone. Welcome to Gray Matter, the podcast from Greylock, where we share stories from company builders and business leaders. I'm Heather Mack, head of editorial at Greylock. Today, my guests are two members of the Greylock investing team, Reid Hoffman, who's been with us since 2009, and Mustafa Suleiman, who joined at the beginning of last year. Mustafa and Reid are also the co-founders of the consumer AI company Inflection. The company started last year and has been incubated at Greylock. So both of you, thanks so much for being here. Always awesome. Thanks so much for having me. It's great to be here.
[0:00:33] Now, Inflection has been quietly working on a product that we'll get to hear a lot about today, but I want to first start with some context setting. So, obviously right now is an action-packed time in AI, to say the least. Both early-stage startups and the biggest tech companies on Earth are working on many different tools, and mainly designed for enterprise settings. Then we have things like ChatGPT, GPT-4, and DALI, which have been instrumental in capturing the public's attention and really driving it home just how advanced AI has become.
[0:01:00] Both of you have been deeply involved in AI for some time. Mustafa, you're widely recognized as a pioneer in the sector. In 2010, you co-founded DeepMind, which was acquired by Google in 2014. You then served as head of applied AI at DeepMind until 2019, when you joined Google as VP of AI products and AI policy until you joined Greylock in January 2022.
[0:01:21] Reid, you majored in symbolic systems at Stanford, and you've been investing in the sector at least a decade when you first funded OpenAI. You're currently on the board of several AI-focused companies, including Inflection and Tome, and you were on the board of OpenAI for several years. And, of course, let's not forget the mini Gray Matter podcast where you interviewed the AI chatbot ChatGPT and your recent book Impromptu, which you co-wrote with GPT-4. Now, with that as the backdrop, give me a quick characterization of this moment.
[0:01:48] Mustafa, let's start with you. How would you describe this moment in AI? Surreal. I would say it's most definitely the most exciting time in my living memory in technology. I mean, it is completely stunning. The pace of progress is surprising, even those of us who have been at the cutting edge of developing systems like these for many, many years. And it just feels like one of the most productive times.
[0:02:17] Reid? Well, I think that exactly as Mustafa said, and I think the world has begun to see this,
[0:02:46] The internet was huge, mobile is huge, cloud computing is huge, and artificial intelligence, which in Impromptu I refer to as amplification intelligence, as it's kind of a partner with us in various ways, is going to crescendo all of those things. And I actually had a language about the moment, which is in Impromptu trying to argue for people to understand this is our aha moment, our amplification of human ability.
[0:03:16] And actually, in fact, to seize on that, and one of the things that I think so often so many people, even very smart people, even the creators of technology, always start with their fears and uncertainties first versus the possibilities and the hopes about what they can get to. And the way we get to those really great futures, the way the transformation of the steam engine, the transformation of the printing press, the transformation of electricity.
[0:03:41] All of these things is, ah, that's the future we want to steer towards, row towards, and that's the thing that we need to be doing. And I think that's the moment that we're in. And I think that literally every professional activity within a small number of years, as a matter of fact, I think Sam Motamedi and I wrote a piece on this last year, will be amplified by artificial intelligence. And that's just the beginning. Right.
[0:04:07] You announced a little over a year ago that you'd co-founded Inflection. At the time, you described it simply as an AI-first consumer products company. There hasn't been much else said since, except that Inflection is attempting to flip roles for humans and computers. Instead of us trying to understand how to talk to them, it's the other way around. Now, bring me up to speed on where you are on delivering on that goal. What has Inflection built? One way of thinking about it is that for as long as we have been creating software,
[0:04:37] We have put the onus on us as humans to try to understand the language of machines. And we've had to learn their programming languages, their interfaces. And that's been a huge constraint. And that is all about to change because for the first time in history, computers are actually able to communicate with us in the same natural plain English language that we're using to communicate with one another now.
[0:05:06] We think that that's going to completely transform what it means to have a digital experience. Everything that you currently do with computers is going to increasingly feel like a conversation, a back and forth, a dialogic, right? Your AI is going to ask you questions, is going to clarify, is going to try and sharpen your understanding. And through iterative back and forth, you'll be able to convey your real intent. In fact, you'll be able to share how it is you're feeling.
[0:05:36] Not just what it is you're thinking or what you need to find, but actually your emotional state. And that will create a very, very different experience to the kind of thing that software and technology has ever been able to do before.
[0:06:05] Connect with our friends and our families. Some of that journey is what we choose to do for fun on some particular evening. And now that you have these linguistically sophisticated, capable tools for interfacing with us, and obviously English is what we're speaking now, but as everyone knows, they can do any language. That's part of the thing that they're amazing. They can be great.
[0:06:31] Personal assistants, personal artificial intelligences. And, you know, part of this amazing team that Mustafa has assembled, you know, with expertise from many different major AI efforts, because he's been doing this for quite some time. You know, part of the thing is they've realized, like, how is it you make these pi, the inflection agent, not just an answer of questions.
[0:07:00] But a participant in the dialogue helping you along your life's path, helping you connect with other human beings, helping you decide on what you might want to do, asking you questions that help you think about what you want your life to be doing or how you want to be working. And this team, which has been working very intensely to bring about this kind of different training regime for personal intelligence, PAI.
[0:07:29] Walk me through the experience with Pi. You open it up on your phone. How do you get up to speed? How do you get started? Yeah, so Pi is really your personal AI. It's with you wherever you are. Sometimes you'll want to talk to it on WhatsApp. Sometimes it'll be available on Instagram. Sometimes you'll talk to it via desktop. There's also, of course, an iOS app.
[0:07:56] So right from the outset, we've tried to establish the dynamic that this is a multi-platform experience. Wherever you need Pi to be, it should be there for you. This isn't something that you download or an app that you keep on your phone. It's really a lasting and in the future, I think, ever-present relationship that you have with an AI that helps you to make sense of the world around you. Sometimes it'll be there to listen, provide support.
[0:08:25] At other times, it'll help you find useful information. It's obviously super knowledgeable. It'll present information in a really succinct, conversational and kind of informal way. At other times, it'll be funny and silly and creative and help you unblock those stuck moments where you're trying to figure out a new idea or make a plan. On other occasions, you can imagine it being there for you when you're about to make a tough decision.
[0:08:52] You might be thinking about relocating to a different city or changing jobs, or perhaps you're preparing to have a tough conversation with your boss. Your AI is going to be there as your sidekick, helping you as a sounding board, helping you to prepare for important moments in your life. And in many ways, this is the essence of what marks this new era. It's not just a new platform or a new technology.
[0:09:22] But it's an entirely new paradigm, much like the smartphone or the internet was a new paradigm. In the future, I think everybody is going to have a personal AI, and it will make us much smarter, much more productive, and I hope ultimately much more compassionate and much more kind. So slightly more advanced than those magic eight balls.
[0:09:45] But also different than... But shaking that eight ball, AI is going to be very important for the future. Ah, yes. Yeah, I'm sure that would be the answer. But also different than what we're hearing from GPT-4. And you've answered a little bit, but there are a lot of tools using large language models. What is the primary differentiator? When you're saying this is something that's going to be more emotionally attuned and kinder, how do you build that? I think that over the next few years, there are going to be lots of different types of AIs.
[0:10:14] And we are very much focused on a personal AI, one that is principally about helping you to be more kind, more respectful, and more compassionate to yourself. As a way, I think, of connecting you to the outside world, being kinder and more compassionate to friends and family and colleagues. You can kind of see it as a thought partner, a place to reflect and make sense of the world around you.
[0:10:41] And I think that's a different tone and a different style. And people might turn to different AIs for different purposes. And our take is that most of the focus in AI so far has been around EQ and information, accessing information. But in fact, I think most people are looking for a conversation. They're looking to form useful relationships and reflect on tricky moments in their life. And that's where we're stepping in.
[0:11:09] And, you know, among other things, you know, part of what we had to do some special development for is things like it'll remember the previous conversations it's had with you. It's an ongoing dialogue. It's not just like, oh, you've asked about this, and here's your instant Wikipedia answer, which is some of the amazing things that are happening with AI now. But it's also like, okay, I'm talking with you, and this has been an ongoing context and conversation, and it's kind of developing that.
[0:11:39] I have a lot of thoughts here. But I'm really curious, like, why do you think people want this? I think over the last 20 years, software has been principally useful to us, right? It has helped us in moments when we're looking to get something quite practical done. It's been a utilitarian function. You might want to find a particular piece of information. You might want to...
[0:12:09] Book a ride in a car, you might want to buy the groceries. And UI has been about efficiency and getting you exactly the answer that you want really, really quickly. In this new age of technology, we can actually create much richer experiences that address the kind of full range of emotional needs and desires and wants that we actually have in the world. Providing just a little bit of affirmation.
[0:12:38] I think it's like a great service. Many of us in the world don't always have easy access to that kind of support. And actually, I think that tends to be a huge differentiator when it comes to our health and well-being and our success in our lives. Just having access to
[0:13:07] Social support in your life makes you feel more confident and more resilient, more able to go about being successful at work or in the home. And I think that could be a really significant contribution that if we're successful, we might be able to make over the next few years. I mean, I think the quality of your life is the people that you go through life with. It's your friends when you are fortunate enough to have.
[0:13:32] Healthy interactions, your family, your family, it's your colleagues, you know, part of why you enjoy particular work and particular groups and companies and why you stay there or move to another one, all of that. And so you are, to some degree, the combination of these various, quote-unquote, social interactions. Part of what Pi is designed to do is to help you make those richer and more present. It's another...
[0:14:01] tool that's there to amplify you, there to say, oh, I need to have this kind of tricky conversation with my friend Sarah or Bob. And how do I do that? Well, you have a tool that you can talk to with it, one that will remember the conversations you've had. And we're all much better off when we can have that. I mean, if we could all have more people to talk to about all of these various things and they can be trained.
[0:14:30] To be kind of helping us find to become our better selves and navigate these things, that's great. Yeah, so it's not supposed to replace your personal relationships, but it's like a dry run for a lot of things. Because it's not to talk to me, not to people. It's like, no, no, let me help you in how you can have really rewarding interactions with other people. And, of course, you can have a rewarding action with me too, but it's not a replacement. It's a help.
[0:14:59] So you've been deeply thoughtful about agents, personal assistants, and how it can impact someone's personal life. What does the existence of Pi mean for other businesses and developers? We're thinking about the broader enterprise AI ecosystem. Well, the way that we think about our organization is that we're an AI studio. Pi is the first AI that we create.
[0:15:24] But over the next few years, I can imagine us developing a number of different AIs that have different personalities, different types of expertise and certainly different capabilities. Some of those you could imagine being enterprise or commercial AIs. It may be that we partner very deeply with certain organizations and help them build out an AI that really reflects their brand.
[0:15:48] that can talk about their products or can help them with their consumer challenges. And so as part of our launch, we will also be releasing our API that will give other businesses the chance to kind of play with our foundation models. One of the things that is, I think, quite unique about our approach is that we develop our own foundation models. And over the last...
[0:16:15] A year or so, we've actually been able to build some of the best large language models in the world. And we're very excited to share those with other developers and other enterprises that might be able to use the conversational style of them that we've been developing. Again, to kind of speak to what the team that Mustafa has assembled is that by having had been at the very earliest days of this as co-founder of DeepMind, he has met
[0:16:44] Great people and worked with great people at DeepMind and at Brain and across in other organizations. And so assembling a group of the folks who were amongst the leading scale developers, scale researchers, inventors to bring kind of the design thinking and culture and what would be the next generation and assembling that team to do it. And that's part of the reason why the models.
[0:17:12] Yeah, I mean, it's kind of an incredible time because, you know,
[0:17:38] Thank you. Thank you.
[0:18:08] And that's part of what's driving this kind of Cambrian explosion of innovation and creativity and development, which is to say that everyone everywhere is going to start playing with these large language models, integrating them into their own use cases. And I think there's just going to be this amazing explosion of creativity.
[0:18:29] Reid, you've shared a lot of insights over the years based on your time founding and scaling LinkedIn. One of the main takeaways, especially as you outlined in a discussion you had on the importance of friendship on both your personal and professional life, was identifying that it had to happen in that exact moment in time in order to really work. And why is now the right time for Pi to come out into the wild? Well, maybe not into the wild, into civilization. It's true. Fair enough. But, you know, I think...
[0:18:56] You know, part of it is obviously we're at this huge inflection point, hence the name, you know, which Mustafa and team came up with inflection, where AI is that amplification from the internet, from mobile, from cloud, that is that amplification of giving us superpowers. Like, you know, part of it is we also want to be, we want that amplification to play across the scope of our lives, like part of having a personal AI.
[0:19:25] is to say, hey, how do I navigate many elements of my life? And actually having an AI that doesn't just answer questions, but ask you questions. Because, by the way, part of how at least I discover myself in various ways is when my friends ask me questions. I go, ooh, I haven't thought about that question yet. And that's a way that I grow and I evolve. And the reason why it's now is because this is, as I put it in, I think, one of our fireside chatbot conversations.
[0:19:53] This is going to be the year that in some way some of the person of the year, even though it's tools, but the person of the year thing will be AI because we will be giving all of these kind of magical moments and these superpowers to people. And some of the superpowers should be is how do we navigate our life in its broad context, of course, including work, but not just only work.
[0:20:17] So people have been working on AI, people like Mustafa, for decades, even before that, of course. But in terms of feeling it on a tangible level, it kind of feels like it just got here and it's moving faster than we can keep up with, you know, that famous phrase, gradually than suddenly. So that's prompting a lot of understandable concern. How is Inflection addressing the numerous safety, privacy concerns? You know, what are the guardrails you're building into the product? Yeah.
[0:20:42] That's a great question and something that is very, very important to us at Inflection. In fact, safety is probably the most important part of the way that we build out Pi. The way that we do that is that we show both good and bad examples of the kinds of behaviors that we want Pi to imitate. Sometimes it's a human doing that imitation. Sometimes it's other versions of the AI doing the imitation. And then Pi is able to observe side-by-side comparisons.
[0:21:12] of two or three or four different examples of a good response to a particular question. And once it does this tens of thousands, hundreds of thousands of times, in some cases millions of times, it learns to build a model of the kind of behavior policy that we really want it to adhere to. That's one of the key things that we do. The other thing is that we pay very close attention to the ways that users interact with Pi. It's super important that people can
[0:21:41] And we think that trust is really a function of setting clear boundaries. So Pi is very careful in proactively trying to lay out types of interactions that it's happy with and other types of interactions that are off limits. So for example, some people have created AIs to foster romantic relationships. That's going to be off limits for Pi. And it's not something that we're going to be pursuing.
[0:22:09] And so whenever Pi sees that it looks like a conversation might be heading in that direction, it's pretty firm about pushing back on that. Friendzoning you right away. Yeah, you get friendzoned pretty quickly. And it's very polite and kind and respectful in the way that it friendzones you. But it's also pretty firm. And that kind of boundary setting and clear expectations is a very fundamental part of our safety program. And part of safety isn't just...
[0:22:37] The avoidance of the negative, something that might lead to self-harm or other harm, but it's also the amplification of the positive. And so the idea is to say, asking you questions that help you discover things that you like about yourself, things that you may want to bring out more presently with other folks that you're talking to, with your...
[0:23:01] Friends and the people in your life or your colleagues. And so safety is not just a, oh, let's just avoid the negative. It's also the, you know, kind of where does the river of the conversation of the shared experience with Pi go? It's trying to be in a place that leads you to a much kind of healthier, fulfilled, meaningful, happier place. In that same vein, Reid, I want to double click on this. You were involved in building...
[0:23:27] Social media platforms. So there was a lot of optimism for the power and potential of these platforms. And many of the founders and investors in these companies sort of underappreciated the potential downsides that could emerge. And now we're kind of stuck with those issues and it's hard to change. And how is AI different? And maybe talk about the lessons you've learned from social platforms that can help us not make the same mistakes with AI.
[0:23:54] Well, Mustafa has mentioned a few of these themes already, but broadly it's make sure you're asking some of the right questions and creating the alignments in the right way. So, like, for example, if we were pursuing an engagement business model with Pi, and it's like, as much time with me as possible, that could be a misalignment to what would be helpful to people's lives. And, you know, when you look back at LinkedIn, part of our early design of it was...
[0:24:23] Time saving, not time wasting. It's like, how do you try to make each minute as useful to the person? And if a person only uses LinkedIn for five minutes, that's great. If a person only uses Pi for five minutes, that's great. If it's an amplifying, if it's a quality experience, something that helps the person with the LinkedIn case.
[0:24:42] Their work and their lives in the PI case, the broad context, which can include work, but includes like, what are we doing on Friday night? Or how am I having this challenging conversation with my friend Sarah or my friend Bob as a way of doing it? These things are that kind of thing. And you ask the questions to get those alignments right. And you design your business model to have the alignment right. And so I think that's the things we've learned from the social media side.
[0:25:11] When you look at all the kind of rampant challenging questions, LinkedIn gets much fewer of those than the others, partially because of the intentional purpose beforehand and being clear about what you're about. And similarly with Inflection and Pi, we've been clear about what we're about and which ways we add value to people's lives and which ways we try to steer away from because we don't think that adds value.
[0:25:38] I think the other thing that's super important and ties into the business model, as Reid said, it's really important to us that we figure out a monetization mechanic that doesn't incentivize us to keep you engaged or maybe distracted on the platform for as long as possible. And likewise, we don't want to drive the kind of addictive dopamine hits of outrage or anger or despair or viral misinformation.
[0:26:08] These kinds of things really have incentivized people to spend longer on the platform. And sometimes that's because they're getting paid for it. And we're very, very conscious that that is a moment that needs to change with AI and that new business models need to emerge to do that. And I think one important element of that is the focus that we've put on the legal structure of our company.
[0:26:33] Reid and I were very clear when we co-founded the company and in a lot of our discussions over many years actually have been around how do you fundamentally incentivize an organization to do the right thing? Like, what does that actually mean in practice? And a big part of it is saying, well, the goal of this company is to try to balance the financial.
[0:27:01] I think that the interests of society more generally need to be integrated in part of the decision-making and incentivization mechanic of a company and a public benefit corporation.
[0:27:30] provides a fiduciary obligation on the directors of the company to actively balance these considerations when making all of its decisions. And that's really quite different to a regular company. It doesn't solve all the problems. And it really is a kind of experimental structure. So it might throw up challenges of its own as we get more used to how this works in practice. But for us, I think it sets out a North Star and an intention.
[0:27:58] A kind of direction for us that, you know, hopefully if we're successful in the long term, we'll actually make a real difference. And how it works is when you're not a public benefit corporation, the default legal structure is you must make decisions on the basis of the interest of shareholders. And, you know, there's some room for flexibility in that because it's kind of a question of, well, short-term shareholders, long-term shareholders, etc. But it's basically shareholders.
[0:28:26] What being a public benefit corporation allows you to do is to state a clear mission, as we have, which is a kind of a beneficial, healthy AI, and to then make decisions based on that, the impact of your technology for your customers or for communities. I'm thinking about the possible other pies out there that you would build, and if some of them were purpose-built for certain businesses and organizations.
[0:28:53] Thinking back, how would you control for it doing, like, what is in the best interest of those companies or those businesses? I think principally our focus at the moment is on the consumer. And, you know, our goal is really to try to create pie to be able to help you to uncover your intention, right? So at the moment, your attention is sort of a commodity that you basically trade on other platforms.
[0:29:22] In return for access to information, access to connection, access to news. And the more time you spend on those platforms, the more they can be operated as free. We'd really like to have Pi be an AI that is truly on your side, is aligned with your interests commercially, and is there to help you kind of filter and sort through credible information.
[0:29:48] And do so with your interests in mind, first and foremost. That's about the legal structure. It's about the business model. It's also about the design mechanics that we're trying to do the opposite of drive ultimate engagement. And those are the values that we'll take with us when we meet and work with other partners. That's just what we stand behind. And it won't be appropriate for everybody. Like some partners may want a different set of priorities.
[0:30:14] That'll make a lot of sense for them. And there will be many, many different providers and suppliers of AI technologies and so on. And so we're just trying to focus on the best that we can do given the sort of mission that we've set out for ourselves.
[0:30:28] I have this fantasy of airlines having this like amazing customer service. I'll be patient. I think in the future, you know, your pie or your personal intelligence is going to talk to the airline AI. And, you know, it will know ahead of time that there is a delay. It will know that there is a better route that you can take. It will know that it needs to negotiate for a discount so you get some credits for your next flight.
[0:30:56] And it will help you book the hotel that you need given the delay that you're about to encounter. And that interaction will take place between your Pi and the airline AI in plain natural language. You'll be able to review and audit the interaction that took place on your behalf. And that's kind of how I see Pis or AIs in general is that they're going to be your digital representatives.
[0:31:24] Advocate on your behalf. They'll negotiate on your behalf. They'll organize things for you. It'll almost be like having something between a chief of staff and a sort of aid or a coach or a mentor all in one. And that's pretty cool because from a time-saving perspective, I think it will help everybody claim back more of their own attention to be able to direct their time and their precious thoughts and their precious moments in life.
[0:31:53] Towards being in the real world, making new connections, and less of our time doing administration and logistics and fighting for refunds and all the other annoying things that we have to do today. Well, the amplification is not just of the efficiency, but also of the joy and meaningfulness of the path you're on. And by the way, once you begin to realize that future, let's take the airline case. What will happen is your personal AI will reach out.
[0:32:22] And say, hey, by the way, I'm the personal AI for Mustafa, who's on this plane. And by having that channel early, you can begin to enable new functions that are possible. Like, for example, the airline agent or other weather information might come back to Mustafa's personal AI and say, oh, by the way, there's a 20% chance this flight's going to get delayed currently in the things we're saying.
[0:32:46] Does that matter to know? And it's like, oh, if there's a 20% chance, let's rebook to something else now and let's just handle it. Or, no, no, we can wait and let's stay in contact. We're doing all that can handle in the flow of things to make everything just much better, not just the, you know, like, oh, I'm heading to the airport and it's been rebooked now and now I've got an extra couple hours to do something or I'm going to have to be at the airport for six hours and what am I going to do?
[0:33:15] Those will still happen, but even that will be pre-navigated because we'll have these personal AIs. Yeah, I can imagine a number of scenarios where a tool like this would be so helpful. And so we're talking it's going to amplify abilities, not replace them. Best case scenario makes us all more productive, creative, knowledgeable, supported, listened to, advocated for in Pi's case.
[0:33:42] You know, to be real, when we look at the people who are building AI and are thus best positioned to benefit from successful businesses, there's a lot of familiar faces. Put more bluntly, many people who did well from the last tech waves are the same ones who are really leaning into AI right now and might do very well from this wave. Would you say that observation is accurate? It's a great question.
[0:34:12] People who have an opportunity, like I feel privileged here at Greylock, to invest in and to also be not just part of Web 1 and Web 2, but also if you kind of say AI Web 3 or whatever as a way of doing it, I feel lucky and fortunate to so do. But you have folks like Mustafa, who this is part of his kind of come up from a working class background and is now being an entrepreneur leading the edge in AI. And we hope to have kind of...
[0:34:41] Underrepresented voices as part of this, and it's part of the reason we work with women and entrepreneurs from communities of color and other folks in order to make this happen. Look, it's super important to be inclusive in all of this. And in terms of the benefits of the technology, to make sure that's very broad, the important thing is to make sure that the benefit is spreading around. What's important is to bring everybody into it. When I look back over the last 20 years,
[0:35:10] of the explosion of consumer hardware, which comes off the back of 50 years of Moore's law reducing the cost of chips. It's kind of a remarkable story, right? I mean, today, no matter whether you are a billionaire or you earn 20,000 bucks a year, pretty much everybody within that bracket gets access to the same quality hardware.
[0:35:38] Both on mobile and in your laptop and on desktop. Now that's a remarkably meritocratic story. And my bet is that over the next decade, we're going to see the same trajectory with respect to access to intelligence and access to kindness, compassion, and emotional support. That is going to be one of the most transformational moments in history. Because now...
[0:36:06] Thank you. Thank you.
[0:36:34] It's kind of incredible to think like what that actually does to our civilization over the next 10 to 20 years, how that turbocharges productivity, how that brings so many new voices of creativity, entrepreneurialism, and so on into, you know, the productive economy. And I think that much as there are good reasons for us to be concerned and cautious and, you know, super attentive to the redistribution questions and to
[0:37:02] You know, amplification, as Reid says. There's also loads of reasons to be very optimistic and excited about what's coming in this wave. Okay, I'm ready for a non-judgmental listener who's going to learn about me and help me get through life with my conversations with people. How can I access Pi? How can I get started? Oh, great question. So Pi is available at heypi.com. It is also available on the iOS store as an app.
[0:37:32] And can I expect it to kind of mirror my personality? One of our foundational commitments is that in everything that we do, we want Pi to be honest and truthful. It's still an early version.
[0:37:58] And so it doesn't always live up to that. It often misremembers things and gets things factually wrong. An AI is a new class of thing. It's an it. It's a piece of software that we design. Will my Pi act like me to have my sense of humor? Initially, it isn't going to adapt to your style too much. It will pick up on a few expressions that you like to use.
[0:38:28] And some of your sort of favorite words. But in terms of your overall tone, we're initially trying to design it to be fairly consistent in its own style. And that's part of our approach of trying to create a boundaried AI. You know, it should be clear that Pi is distinct and separate from you and has its own entity and its own sort of style. And sometimes it reflects some of the things that you're interested in, but it doesn't always agree with you.
[0:38:58] It has its own kind of flavor every now and then. Great. Well, this is very exciting. I'm really excited to experiment with Pi, and I'm sure many other people are as well. We'll see what happens in the next few months. Well, Reid Hoffman, Mustafa Suleiman, Greylock Investors, and co-founders of Inflection, thank you so much for joining me today. Always a pleasure. Thanks so much. It was a lot of fun.