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- 2023-05-16
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“You know, it's true. Non-alcoholic beer at their California Sober AI happy hours and, you know, cue the next season of HBO Silicon Valley. Max is Silicon Valley, whatever it's called. But no, I think it's going to see a lot that, you know, frankly is going to bend our brains a little bit more than last generation of tech. So I think everyone should buckle up.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Well, Cerebral Valley would kind of be like the AI, you know, especially in San Francisco, where a lot of AI companies are clustered, that area and that community, which as far as I can tell has way too many happy hours in a given week. I just don't know how it's possible to hit so many AI happy hours yet. Yet, you know, the youth out here are doing it. And so...”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“That the valleys lost its mojo, I think it's much more that technology and innovation are being impactful in many new ways too. But AI is a jolt of energy here. There's some buzz forming. Our weekend section kind of helped coin the term cerebral valley, which is another cracket kind of giving.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“I think it's hard to say. I mean, what I also think we've seen, of course, is that technology and innovation is really spreading throughout business. I mean, the number of new streaming subs has gone to incumbents and media, right? Like Disney versus on a relative basis Netflix is sort of the rest of the non-tech world catching up to the tech world. And I think that has kind of defined definitely the last five years, you know, probably a bit more as well. But I don't get any sense. I mean, I still pay strong attention to like, where's the talent going? Where do the engineers right out of Stanford want to go work? And even with the disruption of the pandemic and so on, there's an incredible concentration of talent and capital coming out of tech. And I think not just in AI, but energy and batteries and climate. There's just, there's a lot of activity. So I don't think the lesson is so much”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Well, they mean stop my competitor from doing something that's going to disadvantage me, right? So I actually think that there is a genuine desire. See something because it just feels like the Wild West. And I also think China and our kind of rivalry and with China, particularly in the technology sector, is part of what's driving that. We had reported recently that venture funds backed by US investors were investing in Chinese AI startups. It kind of prompted an outroar among a lot of investors in the US who were thinking, okay, why are we emboldening rivals in AI, which many people classify as almost like weaponry, right? Or secret technology in some way. There are a lot of people in Silicon Valley who see a data point like that, they see how fast open AI is moving. And also, it's not so hard to imagine societal harm as it might be. I mean,”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Buy it because Google was hoarding researchers and The people who said that now stopped saying that, but they don't know what else to say. And so I think we'll figure it out. I also think that, to your point about whether this makes the incumbent stronger, I mean, absolutely, right? If you sticking with sales, right, if sales force can very quickly deploy AI in a way that makes its product stickier, that's a huge win for Salesforce. The path to Salesforce being disrupted by a startup in this space is harder to see at this point, but it could just be that that's where we are in the cycle.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Right, and therefore, my patient predicting what kind of treatment this patient needs, right? Because it's been trained on data no one else has, it's that much smarter. I mean, that intuitively makes sense to me. And I think like key data sets, AIs that are focused on very specific verticals, you know, sales prospecting tools that are using, you know, unique sales information. You do start to see the moats around these business kind of crumble because what if you could just rely on the whole internet to come up with sales prospecting information, right? And then all of a sudden that sales lead list, right, that one seller has doesn't have much value. So, I mean, there used to be this joke that the business model for an AI company was an aqua hired at Google, right? So every VC I spoke to who invested in some AI company said, oh, my exit plan is Google's.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Meaning I'm in healthcare, I have access to a lot of proprietary data that you literally can't get anywhere else. I have access to it, and I'm going to integrate AI with that and create something that you can't duplicate.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Good thing for them Right, well, A, it doesn't need a ton of money. And then B, you know, how do you ensure that isn't going to be eclipsed right away or how do you think about how that will compare to the open source version that someone else could release tomorrow? And so that's kind of what's being sorted through. I mean, one thing I hear a lot is the value will be in the data and the proprietary data sets. And so companies who will be able to make money will basically be running these algorithms. Unique data sets, and that's where the uniqueness, I guess, will exist.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Going to At this moment now, but I think the way this industry will evolve is like we don't yet know what the, to use your analogy, Uber to the mobile phone, we don't necessarily know what the Ubers of AI are going to be. And now this is something crypto also said. So as I say it, I have to check myself. But I think that's kind of true. And so the category of startup to be wary of is a business is, you know, there are so many open APIs and you can use open AI's technology and people are open sourcing all of this too. So very quickly now, two developers can come up with a new game, a new way of accomplishing some productivity.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Microsoft has been locked in a war for companies to use its remote computing technology called Azure. It's a tight three-way battle between Amazon, Microsoft and Google. And Amazon's the clear winner. And so to land big companies and partnerships using your technology can not only be good for business, but also can help you literally refine and scale your systems to then open that to more people, to compete more for companies. So Microsoft can say, hey, work with us because you can have these cool AI features rolled in. So while open AI is not, the way their deal is structured is Microsoft's investment is essentially in the form of credits for Azure. So it's not like getting big checks cut from OpenAI directly. They're saying”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Does a lot for your brand over in the coming decades. You've seen them kind of chip away at that. They obviously have a gaming business. There's LinkedIn. But I unfortunately have the scars of covering their pursuit of Yahoo and also their pursuit of TikTok. Many, many scars in this area. And so I think you can see the opportunity they saw in AI. I think lastly too, and Satya was uncharacteristically public about saying this. If they can, by integrating AI into being just make Google less profitable, that is also a win to challenge the business models of their rivals is also part of the agenda here. So it's very multifaceted and I think will evolve in a myriad of ways.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“An excellent question, and again, I think our reporting shows he felt he had no choice because they were behind. And Microsoft Research was not making the kind of progress Satya wanted to see or that he felt, you know, others were. And along came this small company that needed servers and a lot of them and in a partnership forged over cloud computing, OpenAI got the infrastructure and the capital it needs. And by the way, it needs a shit ton more. So we have to figure out where that's going to come from. And I think Microsoft Gott also seems like a great deal, you know, a deep relationship, the ability to integrate into their products, what they need and want to, and then also a share of the profit. So I think Microsoft fears not having a very strong consumer presence. That consumer beach”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“From afar, it feels like it has that old Silicon Valley ethos. We're in the garage, we're playing around, we're going to put stuff out. It's software so inherently we know that it will have bugs and it will get better over time and our users expect that. And so I see the appeal of that to a lot of people who are in the valley. On the other hand, this is a different kind of tech, right? And the world's different than it was in Silicon Valley got it started. And even when these internet entrepreneurs were starting, it's really interesting to me that Microsoft, which is not a startup and is dodgy and entrenched in the existing software world as you can be.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Yes, and look, it's a very uncomfortable landscape with these chat bots kind of synthesizing some real information, some made up information, acting so human like in their conversations we can forget that. I mean, there are reasons to be cautious. OpenAI has not been. Now, again, I think they have guardrails as well. It's not that they think it's the Wild West, but with so many things from Dolly and the images all the way up through chat, you know, they've really Kind of taken, and this seems very Sam Altman, right? Who came from Y Combinator in the startup world out here, very let's win over the hearts and minds of developers and get our hooks into as many products as possible.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“A wonderful question, and I think a lot of that is unknown, but is in the eyes of the decision makers at these companies who are trying to, you know, avoid unwanted regulatory scrutiny. You know, Google is one of the most closely watched companies on the planet from regulators around the world concerned about its growing power. And for better or worse, and it may turn out worse, you know, Sundar and the leadership there has decided to be very, very cautious. And, you know, our reporting has shown had years of projects under the hood that just didn't progress or that came out in kind of compromised ways because of that. And even if you use their chat tool today, BARD, it comes with a very big disclaimer on top around accuracy, trustworthiness, sort of saying, we want you to play with this, but don't let it backfire.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Run by Sam Altman with a strong alliance with Microsoft. I think it is very important here because I credit a lot of the enthusiasm around this cycle with sort of their business decisions to start releasing product, to market it to developers, to try and build a very broad bottoms-up kind of network of partners, I think in large part to counteract the bigger platforms and to kind of play a game they can't. And so I think when we look back on the timing of this part of the cycle, their role in it will be very important.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“A link. I mean, this is a place of cycles, and I think that can lead to a lot of hype, but it also leads to a lot of investment and a lot of innovation. So there is no question that the world out here has been looking and is always looking for a new platform, a new set of technologies. And as crypto was falling, that absolutely fueled AI in a lot of ways. But it is also more than that. One of the reasons AI is so exciting right now is there's been these sort of sleeping giants that have been”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“And I'm also excited about the foundational layer, so the next companies that basically allow us to build a next set of tools, the open AIs of the world, those kind of companies that are generating the next set of technologies to allow us to keep changing the world.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“So, the things that we've been focused on is a lot of industries that are encoding the physical and biological worlds. And I think those historically have benefited less from technology and are now standing to benefit significantly more because of what we talked about earlier, because a lot of those industries have been largely driven by humans, by scientists going through very slow cycles and sort of building the next step. And what's exciting is that a lot of them have been digitized or increasing getting more digitized with increasing amount of sensing that is available to us. We now have the compute power to essentially take all these massive amounts of data, such as what we just talked about, and infer from it and come up with sort of new ideas based on the data. And then we can engineer things based on the physical and biological world in a way that wasn't possible even a few years ago. So we can use robotics and automation to build things faster and we can use synthetic biology to manipulate living things.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Avoiding bad things from happening unintentionally. So yeah, I think for us as investors, as people who are actively involved with the companies that we support, we need to provide a governance to make sure that the products we put out there are doing positive things in the world and avoiding negative unintentional consequences as well.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Well, I think that even if we wanted to do it or we thought it was a good idea, I think it's not feasible at this point in time. I do think that regulators will need to address the concerns here, right? And I'm not a regulator, so it's not up for me to decide how this would happen. But I think regulators will need to address it. I think as far as I can influence this sort of making sure that things are going in the right direction, we think about seriously with the companies that we are working with, right? So essentially, how do we make sure there's no negative externalities to the products that we're putting out there?”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“I mean, I think we have still a lot of limitations, I think, from a capability perspective. There are still domains where there is not a lot of public available data. So we don't necessarily know how the performance of those models will work. I think there are some limitations around what I see is transparency. Again, we don't understand why those models work the way they are. write a South Park like story. And I can ask it to make it more funny and it will. And we don't necessarily understand it fully. There is a lot of biases concerns because again, we are leaning on a lot of existing data. So if the existing data is biased in some ways, this might generate bias in the future. And then there are some ethical concerns, right? Regulators will need to address how do we prevent people from doing really bad things using this kind of technologies.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“I'm talking to several people who are real skeptics of AI, but rather than repeat their arguments, I'm curious what you're skeptical about when it comes to people making claims for AI or concerns people have AI. Which ones are resonant for you?”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“And I think some people will lose Joe. Some people will adjust and get new jobs. So we have a company called Canvas Robotics that is developing a new type of robot for the construction industry. And they're actually working with the union to train the workforce to essentially use this kind of robot. And I mean, guess what? A lot of those jobs that a lot of those technologies replace are not necessarily the jobs that a lot of people want to do anyway. So I think that we're going to see a lot of new capabilities that allow us to train people to do much more exciting jobs as well.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“The fires are spreading here with summer now, and this is just one other example of climate change, but we know that we need to do significantly better. And if you look at the historically, the pace of innovation we've had as humanity and you just sort of extrapolate from it as to where we would be in the next 10, 20 years, it's not going to be enough. So this kind of system should allow us to move significantly faster. And for me, that's exciting.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Yeah, and I think we've already been seeing some of this tension over the last even 10 years in using AI. I think largely in a lot of those domains that we've been very used to having those being run by experts, including biology and material science and so on, we've started to see more reliance on data and AI to essentially guide us through this process and do things significantly faster. And I think these kind of technology allows us to power boost this cycle even more and will get better as we in some of those domains as we take humans out of the loop. I think that would mean that in a lot of those domains, humanity will need to adjust. I think it would allow us to do greater things. It would allow us to dream bigger. And the exciting part of it, which I see is that it would allow us to solve a lot of the imminent problems that we need to solve as humanity. I mean, we've all seen how important it is to come up with a solution for COVID in a very short amount of time. I live in California and I see.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“I don't view it that way, although you could look at it that way if you want to. I think if you look at even the GitHub co-pilot project, basically allows us for now at least to achieve significantly more that we were able to achieve with the same amount of developers. So you can think about writing faster, better code in a way that wasn't possible up until even sort of six months ago. In the beginning, we're going to see more of those co-pilot type of software, right? So we're going to see more AI as a pilot net to a lot of those AI is assisting.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“I want to get a little point here though, right? Like, eventually these companies are investing in that, or whether you're investing them or not, that are writing code, for instance. The pitch to someone who's going to buy them, use them is maybe it's we're going to help your existing workforce produce more work and produce better work, but inevitably part of that pitch is you're going to have to spend less on coders because we've got this machine that can do it for you, right? This is the John Henry parable isn't part of the promise of this tech inevitably that it does cut costs by reducing the number of people you need to make something?”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“I think society will need to adapt. I think we're sort of just starting an era where a lot of those systems are very, very powerful and allowing us to do things that we never thought would be possible. By the way, largely we don't yet understand what is fully possible. We don't also fully understand how some of those systems work. So I think the answer is yes, you should not necessarily be worried, but I think you should think about how do we adapt to this new era where we can do new type of things.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“It's really interesting to think about AI being trained to write code because for most of my adult life I've been told that a good job for people to have is to figure out how to learn how to code. Now it's almost a punchline. And now you've got computers that can do that. And this was supposed to be lucrative, sustainable white collar work. Or now we're saying computers can do this work. Should people be worried about AI replacing them, you know, whether it's coding or other”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Yeah, the only solutions out there, if you look at GitHub, copilot, and others that could look now at all the pieces of code that were available to them to essentially learn and then reason based on the context what you've written before and so on to essentially allow you to complete your code. So the GitHub copilode, for example, is already out there. It's generating grid revenue. This is already saving a huge amount of time for developers and largely leading them to write better code. But what's interesting is also those systems are learning and getting better. So looking at every type of recommendation you decide to take and every type of recommendation you decide not to take, which should make the system better. So those systems become better as more people use it and as they use it more.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“I think you should, as a leader for all of those companies, I think you should do both. I think a lot of people perhaps overestimate what they can do in 18 months, but underestimate what they can do in five years. I want essentially to understand what's a five or ten year plan of how this could actually change the industry. But I also would like to see a very concrete plan on how we're going to go into the next step and achieve something meaningful because a lot of those companies, they need to raise money, they need to show their employees that there is something real behind this vision. And actually that's hard to do if you just build something for 10 years that nobody can actually see. So I think for the best leaders basically try to balance those two things and build a real company around them.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Yes, and I think we. We do not want that. But I think in general, my approach to investing over the years has been one that is trying to look at very specific constraint type of problems. I've been worried about people who are trying to create the next big thing in something where it's clear that we are not there yet. You know, autonomous vehicles, which we sort of, we saw the wave of autonomous vehicles roughly seven, eight years ago, where there's a lot of companies that promise us. So we have robotexes running around every corner. That largely didn't work. What did work was a much more constrained version of it? This was a company we invested in called GADIC that basically decided to build a very specific applications that they looked at the problem of how do we move goods from one distribution center to another where you could actually sort of train on just this specific route and they are driving autonomously now for Walmart and a few other big customers.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Of money, and we're going to make Yeah, I'm excited about anything where initially we could use this kind of technology as sort of a co-pilot or a partner for an expert, right? And I think we're going to start seeing that across many different domains, anything from drug discovery and use it to design better medicine. I think that's one of those use cases exciting for me. I'm also excited about new type of companies that build on this sort of foundational layer of what we call large language models with more specialized data. So you can think about a new language model that is largely targeting specific domains like healthcare. And it's trained on very specific data that maybe is not accessible to open AI and can allow us to answer certain healthcare questions, to diagnose different diseases faster, better and cheaper and so on and so forth. And then we've also invested in quite a few companies. We have companies that already use generative AI to generate better text and cope.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“So there's stuff you can use right now, and I guess to me that's the biggest, I mean, obviously there's lots of other distinctions, but when we were talking about Web3, you'd show someone a picture of a monkey smoking and saying, this is worth a lot of money, and we're going to make movies out of it. I think neither of those things turned out to be true. But even if that was the case, it was sort of hard to understand what we were doing beyond that. So let me talk to you about stuff you are excited about. You have a lot of money to deploy into AI, and you've been doing it. What are specific ideas and use cases that you are excited about that you think this is money I can deploy right now because this is a real thing?”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Yeah, it's actually fairly easy. I mean, go to ChatGPT and have a discussion. I was doing that last night. I was thinking about this interview and preparing and I was my 90-year-old daughter came down. She couldn't fall asleep. So she came down and said, like, hey, let me show you something. And we started playing with it. And the amount of things that we could do was just almost like magic. I asked ChatGPT to write a story for her. And then I asked her to adjust the story to be in the style of Dr. Seuss. And I asked ChatGPT to adjust the story, to be in the style of South Park. And then I provided more and more constraints and it kept evolving and changing. And so, you know, we are seeing the same thing now across many different domains that are just starting to discover what's possible now. We're seeing the same in healthcare. We're seeing the same in education. We can now personalize and summarize very complicated concepts to make them available and accessible.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“My opinion, and I might be not the most informed person about blockchain. I'm sure a lot of people would disagree. I actually look quite deeply in the early days of blockchain to try and understand what was there. And I couldn't find really interesting application that somebody could use. So this is not one of those cases. We've already been developing it and seeing the applications in the real world. And I think we're just getting started.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Think it's a much more exciting point in time than the mobile version. I mean, the mobile version was an interesting time because it provided sort of a new fun factor that allowed you to carry a computer with you and do certain things. I think we are now standing in completely different time where we've now been introduced to a foundational intelligence block that has become available to us. It's basically can lean on all the publicly available knowledge that humanity has extracted and documented. And it allows us now to essentially retrieve all this information in a way that wasn't possible in the past. It's flexible, it can adapt, it can learn. And largely it performs way better than anybody expected. Now, to a question about Web3, and I've been doing this for quite a while now, so I've seen all the different hype loops and so on. I think every once in a while you do get certain hype cycles that are based on completely wrong things.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“So the positive version of the AI moment we're in is the one you believe in, is this is another big important shift like the iPhone and mobile was. So if that works out for you personally, that's great and for the world supposedly that would be good. The cynical version is this is the blockchain. This is Web3. This is a thing people were very excited about a couple years ago just a year ago. People were having really serious conversations about Web3 and how it's going to change the world. And now there's NFT conferences that no one is attending. There's just empty hallways. Tell us why you believe this is the mobile version of the future and not the blockchain version of the future.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“I think it told me that people are really interested to get a foot in the door with AI. This is a time where people that maybe put money into crypto or the quote-unquote metaverse and so on are looking forward to the next thing to double down on.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“So now our company had a name and a product, and it was time to actually start raising money. When you decided you were going to build, how long did it take you to raise that money and how much did you raise”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“As a starting point, it's not supposed to give you a fake friend that you talk to for the rest of your life. It's very much focused on giving you advice and ideas for how to do things in the real world.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Young men actually felt much more comfortable interacting with some of the futures of this product because they knew it was AI and it allowed them actually to explore some of these vulnerable emotions for the very first time.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Was KG when I asked her how her customers are going to actually interact with this relationship coach and she's still working on it. But she did say you'd be able to text with it. And this brings up a question why does this product need to be an AI texting thing at all? Why couldn't you just talk to a human? Because those things exist. And one answer obviously is that AI is supposed to be cheaper. But Nyborg also says that according to her own market research, her customers, or at least some of them, don't want to talk to a human. They want to talk to an AI.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“People who want to give you money are reaching out to your friends so they can get in touch with you. They're bothering your friends because they're so desperate to give you money, even though they don't know what you've built and you don't know what you're building. Did you expect that I just want to spell out how unusual this is, sometimes at the height of a Silicon Valley hype cycle, you hear about people literally investing based on a napkin sketch, just the bare bones of an idea. And this is pre-napkin sketch. There is no idea. To be fair, Renata Nyborg is not your average startup founder. She was making apps for mobile phones long before the iPhone came along. She was an executive at Apple. Her last job title was CEO of Tinder. So she's a good bet for VCs. But at this point, Niberg wasn't even looking to raise money.”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT
“Was really funny. My inbox went bananas. Even though no one knew what I was working on and I hadn't decided what I was working on yet, I receives inbound interest from dozens and dozens of VCs, some of whom were extremely persistent. I was even at dinner with a friend last night who said, yeah, I was just getting so many VCs calling me saying, I think you know Renata. Can you please try and get a coffee set up with me?”
2023-05-16 · Decoder with Nilay Patel · Recode Media: Inside the AI Gold Rush · IDENTIFIED FROM THE TRANSCRIPT