How AI Is Solving Problems We Thought Were Impossible | Yossi Matias, Google VP of Research

AI is already solving problems scientists said were impossible — and we're just getting started. In this episode, Yossi Matias, VP of Engineering & Research at Google, explains why we're living through the golden age of research and what that means for your career, your kids, and your future. We cover: Why AI agents and vibe coding are actually underhypedHow Google's AI co-scientist cracked a superbug hypothesis in 3 days (vs. years of lab work)Flood prediction in 150 countries — from "impossible" to deployed in 7 yearsWhat Google is building for education, healthcare, and climate resilienceThe one mindset shift to stay relevant in 2026 and beyondYossi also shares what Google looks for when hiring today — and why the ability to adapt matters more than any specific skill. More from the Silicon Valley Girl: Newsletter:⁠⁠⁠⁠⁠⁠⁠ https://siliconvalleygirl.beehiiv.com/⁠⁠⁠⁠⁠⁠ https://siliconvalleygirl.beehiiv.com/ Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/siliconvalleygirl/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://www.instagram.com/siliconvalleygirl/ YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@SiliconValleyGirl⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://www.youtube.com/@SiliconValleyGirl LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠linkedin.com/in/marinamogilko⁠⁠⁠⁠⁠ https://www.linkedin.com/in/marinamogilko/

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

• 0:00Speaker 00

  This episode is brought to you by Indeed. You're ready to level up your business, but the pressure to find the right person to make that happen is intense. Indeed sponsored jobs can help carry the load. It boosts your job post to help it reach quality talent fast. Cut through the chaos with Indeed sponsored jobs. Get a $75 sponsored job credit at indeed.com/podcast. Terms and conditions apply. Hiring now? Then this is a job for Indeed sponsored jobs.

• 0:29Marina Mogilko?

  Hello, everyone. Welcome to Silicon Valley Girl. I have an amazing guest today and we're going to talk about AI and what's going on in the world. And I think you're the best people to talk to. Could you please introduce yourself? And for anyone who doesn't know you, why should they be listening to you when it comes to AI in our future?

• 0:46Speaker 02

  Well, thanks for having me. It's a pleasure to be here and talk about AI and the amazing things we can do with that. My name is Yossi Matias. I'm head of Google Research and I'm looking to how to advance research and AI for the benefit of so many, you know, amazing opportunities.

• 1:03Marina Mogilko?

  And you launched one of the tools I absolutely love using called Google Trends. It's where you go and see what billions of people are searching for. And you also see how they search for these terms based on the season, for example, because I'm in part of my business language and sometimes people want to study more. And in August, we see that they don't want to study at all like December. So I really like that tool. So before we go into details of research, based on purely trends that you're seeing, what is the thing that you're seeing already? What we're still underestimating, but it's going to affect our lives in the near future?

• 1:39Speaker 02

  Yeah, first, we're perhaps in the most exciting time ever because we're seeing, you know, in a way a dream come true of how to take and advance research in a way that impacts reality in a pace that is faster than ever. One thing I like to call the magic cycle of research is, you know, looking into how to drive research breakthroughs.

• 2:02Speaker 02

  That matter, I like to call it as intentional curiosity. And then taking that research result and applying it back to reality and going this circle. And something that as as somebody who's been both, you know, researcher, scientist all my life. And also a product guy, you know, Google Trends is actually was my first project at Google, actually.

• 2:24Marina Mogilko?

  That's awesome.

• 2:25Speaker 02

  When I just started. I I I love the fact that we can now actually identify opportunities. Make the scientific progress and then applying back and have impact now. The fact that we can do that at scale, at pace and at impact that is unprecedented. I think makes it the golden age of research. And and when I think about how we can take AI and, for example, use it for accelerating scientific research. Empowering healthcare workers, empowering teachers, practically empowering everyone in what we are doing. I think this opportunity is greater than ever and we are beyond an inflection point of actually seeing this acceleration.

• 3:07Marina Mogilko?

  So do you think we're gonna see some, it's like we're talking a lot about it, but in terms of seeing tangible results. Because we've seen what I read about is one of the rarest diseases was cured with AI because they were able to modify the gene. Do you think we're gonna see something like that in two thousand twenty six?

• 3:25Speaker 02

  Oh, definitely. So, for example, one one area that I'm really excited about is how we've built a system called AI coscientist. Which essentially is a way to empower researchers in their own scientific discovery. And the way it works is that the scientist can pose a question. And the system, which is based on AI agents, can essentially do the work that today. You expect typically, you know, a research lab assistants, graduate students, postdocs to do. Literary research, looking into generating hypothesis, ranking them, trying to validate them. And then posing that back to the researcher. And what we found out is that this actually can play a role of an amazing collaborator.

• 4:10Speaker 02

  So, for example, in partnership with Imperial College, they were looking into a superbug. And looking into some hypothesis of what's actually making it more infectious. And they came up with a hypothesis over many years that was not yet published. They used our system and they got a similar hypothesis in just about three days. And the system also provides another hypothesis. And when I was speaking with, you know, one of their investigators, the researchers, how does he see the experience? He said, this is an amazing collaborator for him. And similarly, we had partnerships with researchers in Stanford and other places on areas such as drug repurposing for AML or novel hypothesis for liver fibrosis.

• 4:54Speaker 02

  And when you think about the opportunity for Eving AI to be practically a virtual lab for every researcher. So you don't need to be a head of lab after twenty years of research, established research, in order to actually have your own lab. Because in the future, every junior researcher, perhaps even a grad student, can have their own virtual lab that helps them ask bigger questions, make progress faster. That's why I think about AI as an amplifier of human ingenuity. It's really a tool that is going to enable many more actually doing that. And we already start seeing that. There's a lot of interest in this. There are additional AI tools in advancing research.

• 5:38Speaker 02

  And again, this is something that is already happening. So I certainly expect to see more of that this year. And certainly have impact on areas such as healthcare and certain other areas, you know, and certainly expect that to help in material design, in finding new sources for energy in the future, and amplifying both human capacity and AI is an amplifier of human ingenuity.

• 6:02Marina Mogilko?

  One hundred percent. I'm hoping we're going to get more discoveries because of that. Because we're enabling basically more people at different levels to do their own research with the help of AI. When it comes to AI being a collaborator, do you think trends like agents and vibe coding are overhyped? Because from my perspective, everyone's talking about AI agents. But making it work for you, like a non-technical person, really hard. Same with vibe coding, right? Yes, you can vibe code a simple website. But have we actually used a product that was vibe-coded? I'm not sure.

• 6:36Speaker 00

  This episode is brought to you by Indeed. You're ready to level up your business, but the pressure to find the right person to make that happen is intense. Indeed sponsored jobs can help carry the load. It boosts your job post to help it reach quality talent fast. Cut through the chaos with Indeed sponsored jobs. Get a $75 sponsored job credit at indeed.com/podcast. Terms and conditions apply. Hiring now? Then this is a job for Indeed sponsored jobs.

• 7:05Speaker 03

  Now, more than ever, we need someone on our side. But Rob Whitman? Whitman's votes drove up costs, cut Medicaid, and risked 350,000 Virginians' healthcare to pay for tax breaks for himself and his donors. He's not on our side. Shannon Taylor will fight corruption, cut taxes, and bring down costs. This November, vote for Shannon Taylor. She's for us. Paid for by HMP, the House Majority PAC dot com. Not authorized by any candidate or candidate's committee.

• 7:35Speaker 02

  I think they're underhyped.

• 7:37Marina Mogilko?

  Oh, you think so?

• 7:38Speaker 02

  Yeah, definitely. And here's why. So first, we should always keep in mind that what we're seeing today is not the future. We're just seeing today. I mean, many of the things we're just discussing now were not even considered just a couple of years ago. So things are making progress very fast. It's true that some of the interface still requires more work. In fact, if anything, conversational experience is the ultimate user interface. So I've been actually passionate about conversational experience for years now, developing at Google an early AI system called Google Duplex and looking into other conversational experiences. Because ultimately, this is the most natural user interface. In fact, we're all familiar with those who struggle to learn how to use new systems.

• 8:23Speaker 02

  But anybody can just say what they need and what they want and get the system to do it for them. We're starting that with the day-to-day consumer part. And you know, having been working for over a decade on search. In search, we suddenly take the user intent and we try to give the best information. Now with AI systems, we can actually understand much better user intent and let them actually express what we do. Now, vibe coding is a great example where people can now actually say what they want to be developed and you can already, everybody can now develop an application that previously required a team. Of course, typically, it's not yet ready application to be used and there's more that need to be done.

• 9:07Speaker 02

  There are actually companies out there that are providing tools to develop those applications in an easy way and we're obviously making a lot of progress on that. Even, we recently shared something that we call generative UI that enables you to actually, for any prompt, get a result out of, we have an experiment within Gemini App called Anamview that gives the full interaction, full interactive user interface in about a minute for any prompt that you ask, as if somebody was developing an application on your behalf. So only you need to say what you'd like to learn about and it will sometime even give all the buttons and emulation. And in fact, the technology is now available also in search AI mode.

• 9:52Speaker 02

  These are, in a way, nascent, it's a nascent space, these are first technologies. But if I try to do a little fast forward and we make some of those experiences that you highlighted more intuitive, more accessible, more easy, we're actually getting to a stage that every person can actually translate their ideas, their creativity into something that is workable. I think it's extremely powerful. You don't, obviously, for those who are going to go deep into technology, those who are going to spend time on science, those who are going to do additional degrees, there are also many opportunities to amplify.

• 10:33Speaker 02

  But even for those who don't, who don't necessarily all have all the technical background, they are going to be able to actually build on these tools and find ways to innovate and address problems or just objectives that they have.

• 10:48Marina Mogilko?

  So do you think we're entering the age where everyone is just? Vibe coding tools that they need every day? Or do you still feel like, because when I think about this, right? Would I, if I need a jump on a call, for example, and it, I don't know, I have a, some, some idea in mind. It is still easier for me to use Zoom or any other tool, Google Meet, right? Because it was created by professionals who spent hours and hours and hours building it. Do you think AI is going to get to that stage where a vibe-coded app will be similar to what's on the market?

• 11:20Speaker 02

  So one notion that I've been quite passionate about for quite some time is what I would call ambient intelligence, which is that you have technologies that you just use. You don't think about them. They're, they're becoming so available and so intuitive that you actually don't, you just assume they work, right? Uh, think about autocomplete, which I also had the, the privilege to, to develop with my team uh, over the years in search. People just assume that you start typing and it will just suggest to you. And I remember that, that people were in the early days, so what about this magic? Wow, how does it make you guess? And today you just expect it to be the case, right? And similarly, you can think about so many other technologies.

• 12:01Speaker 02

  Think about voice uh, technology, the fact that now you can speak. And um, and you know, it, you expect what you're speaking to be understood. You can take text, you can listen to it. I remember actually working on these technologies in the early days. This was the aspiration.

• 12:19Marina Mogilko?

  Yeah.

• 12:19Speaker 02

  And now you just assume this is the case. Think about multiple languages. I still remember the day that one of my kids came from school and say, hey dad, what, what's going on with your translate? That line, that sentence was not translated very well. It's actually quite um, bad translation. And I was thinking to myself, you know, just a few years ago, having automatic translation of a page was a science fiction and he assumes this is just available. Now we're much further, now we're getting to the stage that we can actually hold a conversation. We can consume media in a different language and it will sound in our own language. Perhaps the same voice, perhaps the limbs are going to sing. Uh, it's not entirely perfect yet, but if you do a little fast forward,

• 13:02Speaker 02

  it's going to be the, the technology and AI are removing all these modul- barriers of modality, languages, um, even interactions.

• 13:14Speaker 02

  You know, education, which is one of theirs, and I think is highly important, is is a way that is really poised to be transformed. And and we have recent experiment of asking ourselves, can we reimagine the textbook? Instead, can we take a textbook and use AI in order to actually um give it in different experiences that are going to be personalized and contextualized? So for example, can I have an immersive, can I take the text and make it immersive? Think Harry Potter, can I make it conversational? Can I have a sketchbook with that?

• 13:46Marina Mogilko?

  A podcast.

• 13:47Speaker 02

  And by the way, can I have it in a level that is suitable for the audience? So for example, can I explain gravity to a ten year old who likes soccer? So that a textbook can actually be uh re-leveled to ten year old kind of language? And give examples from soccer? The answer is yes, we actually have some experiment. And these are early days, so I expect that in the future, it's going to be seamless, it's going to be kind of uh just available to us.

• 14:13Marina Mogilko?

  What is the time range that you think is going to be critical when we won't be able to recognize the reality? Because from what you're saying, right? It seems like in five years, wha- what is the timeline, do you think? For all these, for AI to be intelligent enough to, you know, pose questions for research, create those apps on the go, um adjust education for anyone according to their level?

• 14:39Speaker 02

  So I think in a way we're leaving that, right? I mean, we so.

• 14:43Marina Mogilko?

  We're still early, right? We're still seeing the worst version of it.

• 14:45Speaker 02

  We are, but you know, there's a saying that advancing advanced technology is indistinguishable from magic. And it, but the flip side of that is that what appears to us magical now, we'll get used to it very quickly and we just assume it's working.

• 14:58Marina Mogilko?

  Yeah.

• 14:59Speaker 02

  So I would argue that there are many things that we're already doing that, uh, you know, they were very novel and revolutionized perhaps at some point. And I would just assume they're working. And and and we're already in the midst of doing that. Think about the fact that you can actually today use generative AI in order to, you know, express some thoughts and get a summary. You know, we did think and think of this sort. Think about the fact that you can actually take text and just listen to that. I do that a lot, by the way. I love this multimodal approach for consuming information. And so in a way, we're in the midst of that, and this keeps advancing all the time.

• 15:40Marina Mogilko?

  And what do you think is going to happen to our lifestyles? So for example, let's take, I don't know, a social media marketer today. Nine to five, doing the tasks. Of course, a lot of them are being automated. AI can now write text, create scripts. What do you think their life is going to look like in five years? Do you think we're going to slow down, like do more hobbies? Or because we have more tools, because this is what I feel. When I see how I can 10x myself with AI, I'm now 1 to 100x myself. Because it never stops the ambition, right?

• 16:09Speaker 02

  Yeah, so in a way, I remember I was asked, so how do you think? Things are going to change five years? And and I I thought about it. In one hand, everything is going to be different. On the other hand, nothing is going to be different.

• 16:21Marina Mogilko?

  I've heard that at Davos this year.

• 16:23Speaker 02

  In a way, I mean, we're humans, right? And and what and what's what's motivation for what we're doing? It's not really to fulfill a particular predetermined task. We define our own ambitions, our own tasks. Simple learning, I remember the early days when suddenly Google was made possible for everybody to get facts. And people say, wait a minute, what's going to do in for kids? Because we asked them to do homework and collect facts in the library. And now it's easy. Are they going to be lazy? Well, no, because now this is a given, that's a tool. So now we expect them actually to go to the next level. We expect them to synthesize. And now with AI, of course, there's another conversation, what is it going to do?

• 17:04Speaker 02

  And my prediction is that, in fact, we're just going to uplevel what we expect. That's why I'm thinking about AI as an amplifier for human ingenuity. Now, what are we going to do with that? That goes back to the motivation. Why are we doing what we're doing? What do we? Probably, most of us are spending more time in our work than we should to fulfill the tasks. Just because we're ambitious about what we we are excited about what we can achieve. These motivations are not going away. So in a way, um, our lifestyle going to change? Definitely, but the basics are probably not going to change at all.

• 17:39Marina Mogilko?

  Yeah.

• 17:39Speaker 02

  Which is about people working with other people about solving important problems that they're excited about.

• 17:45Marina Mogilko?

  The, the trend that I'm seeing now as a mom though, is that now kids are expected to know how to read when they start school, right? Cause back in the day, you're like, your kid goes to school, no letters, no numbers. Now they're like, oh, I actually have the classes already reading and they're five years old and you're like, whoa, okay.

• 18:02Speaker 02

  You know, kids are already smarter, I think, than the older generation. And I think that the next generation is going to be even smarter because they're going to have AI in their disposal.

• 18:10Marina Mogilko?

  Yeah.

• 18:10Speaker 02

  So, and by the way, you know, typically we had to, uh, most people had to focus and learn certain subject and focus mostly on that one. And when they wanted to work across disciplines, they had to meet with other folks and try to somehow do that together. We're going to have, everybody's going to have a polymath in their pocket. Now, if you want to understand how something you're doing is related in another field, to chemistry, to biology, to physics, you can actually get this advice right away from the AI in the right level. In the future, it's going to be even smarter connecting it to what you want. So thinking about this cross-discipline,

• 18:51Speaker 02

  and I'm a great fan of, uh, you know, cross-disciplinary, connecting world between science and technology and the arts and, uh, and, and philosophy and so forth. I think that we are all going to benefit from actually having kind of everything in our fingertips and also be adjusted to the level that we're familiar with that. So I think there's a great opportunity here for, uh, if you will, not only formal learning, but learning for all of us and evolving and a richer experience across everything that we do, hopefully.

• 19:22Marina Mogilko?

  Yeah. And as a person who's constantly hiring, uh, can you talk about the skills that you're looking for? Uh, both technical and, uh, non-technical?

• 19:34Speaker 02

  Yeah, I think it's a great example. So, uh, great question. So, so for example, when I think about, in a way, we always looked at Google for people who have very strong foundations. And when you think about what are you looking for in terms of skills and in terms of education, this one thing that I always thought is is critical is the ability to think, the ability to adapt, the ability to evolve, the ability to actually think about problems and then try to solve them. Now, today, these are more important than ever, of course, because, you know, uh, technology is moving fast. Uh, people need to adjust their learning, even, uh, no matter how experienced they are, there are new technologies.

• 20:16Speaker 02

  Engineers need to relearn, you know, how to use AI in order to be more productive and there and people are doing it. So the ability to adapt, to learn, to have a strong foundation is more important than ever.

• 20:28Marina Mogilko?

  How do you, how do you learn it? Any tips?

• 20:31Speaker 02

  How do you?

• 20:31Marina Mogilko?

  How do you learn to adapt and?

• 20:34Speaker 02

  Yeah, I think, I think it's something that is inevitable for all of us to learn. And certainly, uh, if there's one skill that is important for younger generation is to learn how to learn. To some extent, this is not different than, um, I remember years ago, there was a question of, uh, saying computer science, should one learn more like, uh, programming languages or more foundations, more algorithms? I always thought that it's not necessarily the specific language that is important, but more the foundational, you know, uh, principles of how to think about matters. Now, the good news is that we can also use technology to help learning and to help adapting. So for example, when I, uh, refer to AI as an amplifier of human ingenuity

• 21:19Speaker 02

  and the opportunity for every researcher to, uh, be able to use AI in order to actually ask your questions, it's important to also, um, adapt and learn how to do that. You know, if we really want people to be able to do the kind of roles that today we expect many more senior, people who are much more senior to do, obviously, we need them to learn how to do that much quickly. The good news is that I believe. That AI can help us with that as well, with kind of tutoring, with feedback. Um. The fact that to write a paper, for example, AI can give you very the kind of feedback than in the past, you actually needed the attention of your advisor perhaps to do.

• 21:58Marina Mogilko?

  Oh, yeah.

• 21:58Speaker 02

  So so I think we we things are going to adapt in all of these dimensions. And I think humans are, what we proved over the years is that we're extremely adaptive

• 22:11Marina Mogilko?

  Adaptable.

• 22:11Speaker 02

  To what's required to do. And and whenever we set up the right goals, the right opportunities, then we see this kind of uh great results coming out of that. So I think we should build into that. When I say AI is an amplifier of human ingenuity, this is not only a prediction, this is a design goal. This is how I'd like us to build our systems, how I'd like us to see how we are helping, uh you know, uh the society to actually do that. How we're influencing education so that our kids can actually grow into this future. And and I'm quite optimistic about what, how we can actually have those next generation solve many other problems in the world.

• 22:51Marina Mogilko?

  Yeah, because they have more to work with. I I just wanted to ask you one last question. If somebody wants to remember one thing from this conversation. What is the mindset that they should adopt for two thousand twenty six to stay as positive as you are and also relevant in the job market?

• 23:09Speaker 02

  Yeah. So one exciting thing is about using technology and research is that certain problems that seem impossible are not necessarily impossible. In fact, I've yet to see something that is impossible to tackle. And and some of them actually are quite meaningful. Uh. Here's an example. One area that we're using AI quite a bit is on climate resilience, how to address natural disasters. Uh. You know, uh, people are turning to Google whenever there are, uh, if you look at Google Trends, whenever there's a natural disaster, you see a peak, people are coming to ask questions. Uh, because they'd like to know what they should be doing. And and we actually, uh, you know, provided some, uh, uh, you know, the kind of experiences in in search and maps years ago. Uh, and things such as we call SOS Alert.

• 23:53Speaker 02

  One thing I learned at the time is that uh one area that were not very helpful is an area of natural is of flood of flood. Flood uh prediction floods are you know causing thousands of deaths every year. And when I asked around, older experts told me this is impossible to solve. There are too many variables. And we decided, well, it's important enough to try anyway. Fast forward, we now have a system that provides um flood predictions in hundred and fifty countries. Covering two billion people, predictions up to seven days in advance. And from what seemed to be impossible just seven years ago, we have a system doing that.

• 24:34Speaker 02

  We had actually to drive the research, to work with the community. We published a paper in Nature doing that. So we actually took a problem that seemed impossible and made it possible. Similarly, when we think about healthcare, there are uh you know, looking into the question, can we take these language models and that are obviously require more work about being um uh more factual and more trustworthy in areas such as healthcare. And showing that we can actually bring them to the level that they can pass US style medical exam in a passing score and later in expert level. But what we already saw is how this can be used in the healthcare system. So today, HCA is having a pilot of how to use this kind of language model to help out with L O shift reports for nurses.

• 25:18Speaker 02

  That can be hugely impactful for the healthcare system. And so forth, we're looking into how to use AI in healthcare diagnostics to help uh healthcare physicians, how to help teachers empowering them. So the one thing to keep in mind is that we have this technology that we can actually build and address some of the most pressing societal problems in healthcare. In science, we have a work on genomics that we can actually uh help find uh you know, the kind of mutations that could make a difference for cancer, uh you know, discovery and cure, uh material design, energy.

• 25:58Speaker 02

  Uh we're working on a quantum computer that in the future is going to unlock many more opportunities. Really excited about that one. And of course, impacting every day's experience, how to empower everyone, how to make um help address the day to day, both experience. Um work um also on the creative side, how to be, how to help creators.

• 26:20Speaker 02

  You know, have bigger impact. So I think these are all various opportunities for us to build on what we can do. At the same time, we paying attention also to all the implications of AI. Obviously, we need to be, we like, we're thinking about what we're doing is important to be both bold and responsible. Making sure that we're paying attention to possible risks because it's such a powerful technology. See how to mitigate those, how to work towards having a right conversation with the ecosystem. And I'm really optimistic about the fact that we can actually build on these technologies and advance them. And again, I mentioned earlier about the magic cycle of research.

• 27:02Speaker 02

  Accelerating that even further. We have also a magic cycle of innovation and opening it up for many more actually to do that. It's not a zero sum game. It's a really opportunity for innovation to create value. By the way, on healthcare, we put out a model called MedGemma, which now have over two million downloads. By which enables developers develop their own applications on medical capabilities. So how to see how to scale it?

• 27:28Marina Mogilko?

  Yeah.

• 27:29Speaker 02

  Or if I might mention also, when I mentioned cloud forecasting, but similarly, we have storm predictions. We have a wildfire detection. We have air quality kind of understanding. Taking all these models and enabling asking given bigger questions. We have something called Google Earth AI, where we take all the geospatial models that we have. Use AI agentic layer so that people can not only ask where's the storm going to hit? But where's this storm or flood going to hit? And what are the most vulnerable communities that are out there? What's the infrastructure that the business shouldn't need to care about? Or how can those who are tracking, you know, various diseases in Africa can take into consideration?

• 28:13Speaker 02

  Both the predictions, the weather, the census information? And be able to actually take action in a way that is meaningful for the community. So these are all opportunity for us to go on bigger questions and try to tackle more important problems and making progress on that. So again, when reflecting back from last year, today, we can tackle problems that last year were, you know, we were still dealing with much smaller ones. Anticipate that in a year from now, we find ourselves actually making a lot of progress and tackling even bigger problems.

• 28:44Marina Mogilko?

  And it would seem normal.

• 28:45Speaker 02

  Exactly, we just take it for granted, which is a good thing.

• 28:48Marina Mogilko?

  Yeah.

• 28:48Speaker 02

  And then we keep on asking ourselves, how can we make even bigger progress? Which is a natural way to proceed.

• 28:54Marina Mogilko?

  I really like the mindset, like if you think something is impossible, it might be already possible with AI and all the advances.

• 29:02Speaker 02

  I have yet, I have yet to see something that is impossible. It's just a matter of time and pace. And of course, how to build it in the right way so that we can actually build towards that in a better way.

• 29:13Marina Mogilko?

  Thank you so much, Yossi. This was really inspirational.

• 29:15Speaker 02

  Thank you so much.

• 29:16Marina Mogilko?

  Thank you. Are you enjoying this clip? On my main channel, Silicon Valley Girl, I share how ambitious people can use AI and tech as their unfair advantage, whether it's building a business, growing a career, or just staying ahead of the curve as a mom who has multiple things to do every single day. Subscribe to the channel now. Link is in the description to start.

• 29:35Speaker 03

  Now, more than ever, we need someone on our side. But Rob Whitman? Whitman's votes drove up costs, cut Medicaid, and risked three hundred fifty thousand Virginians' healthcare to pay for tax breaks for himself and his donors. He's not on our side. Shannon Taylor will fight corruption, cut taxes, and bring down costs. This November, vote for Shannon Taylor. She's for us. Paid for by HMP, the HouseMajorityPac.com. Not authorized by any candidate or candidate's committee.

• 30:04Marina Mogilko?

  Start leveling up.