AI’s Trillion-Dollar Circle: Inside Big Tech’s Power Play

We need to regulate AI. Like last year, this kid, you know, commits suicide because he was talking to Chad GBT and the story of this lady who stopped taking the medication because Chad GBT told her, good for you, stand up for yourself when she went to the hospital. The same thing goes with this guy who Chad GBT told him, go and cheat on your wife because she's not making you good food. And this guy who thought that he can bend time and go back in time until, you know, he went to the hospital and he has a breakdown, mental breakdown because Chad GBT convinced him that he can bend time. Our Bay Area Innovator today is Ahmed Banafa, an engineering professor at San Jose State University, technology expert and author of The Future of Internet of Things. With the rapid rise of AI, tech giants like NVIDIA, AMD, and Intel are reshaping the global landscape through billion-dollar investments and partnerships with open AI. But as innovation accelerates, so do the questions. Who's really steering the future of artificial intelligence? And how will it change the way we work, live, and even think? Let's find out in today's episode. This is Bay Area Innovators and I'm your host, Steve Esparza. Ahmed, welcome to our program. Thank you. I have to say welcome back. We had you about a year and a half ago. We really appreciate your expertise at the time. I remember one thing you said last time. You said that AI is a train that left the station and is going, and there's no way to stop it. You can only adjust the rails or make sure it doesn't run into a building or gets off the tracks, right? The first thing I want to talk to you about is the recent investment. So we talk about, we have NVIDIA. I think it's $100 billion investment into AI. Then AMD comes back maybe a week later. And then a couple of days ago, Broadcom has a partnership as well with OpenAI. Tell us a little bit about the dynamics. What's going on? There's just so much money involved. Well, yes, a lot. Just to give you an idea about this, OpenAI, they invested almost a trillion dollars in all this something called Circular AI. Circular AI is, OpenAI is a software. NVIDIA is the hardware. AMD is a hardware. Intel is a hardware. Broadcom is a hardware. OpenAI, they want to guarantee that the vendors, the suppliers are healthy and they are customizing their product and their chips to be used by the algorithm of OpenAI. So when you talk about $5 billion invested in Intel, $10 billion invested in AMD, and they have NVIDIA investing $100 billion in OpenAI for the same reason. They're trying to make sure that anybody who's using OpenAI is gonna use the NVIDIA. So this kind of exchange going, I'm gonna secure the vendors, whether it's the software or the hardware, is the essence of the Circular AI. And this is like a private club where there are certain players and those players understand that if one of them is not performing, others will be impacted. So they say, I'm gonna support you. I'm gonna give you $5 billion. I'm gonna give you $10 billion to make sure that it's available. Now, this is really the beginning of a big story, which is, okay, I understand NVIDIA with OpenAI because you're talking about data centers. But what's the story of Intel and AMD? It's the consumer market because the biggest plan for, and the grand plan for OpenAI, not just to be on the data centers, it's to be on every computer. I'm talking about a business, a company. OpenAI, there is 2.5 billion requests, questions every single day. They answer it. They have about 800 million people visiting their website, they bring their services. You are talking about a huge company that suddenly in less than three years since the generative AI, they became a giant that trying to take the business of Microsoft, the business of Google, and they're trying to get into all the big tech companies, even LinkedIn, they're trying to get the business LinkedIn. Now, a few days ago, Walmart said that you can order your items when you are doing the search on OpenAI using ChatGPT. Walmart and ChatGPT are teaming up, the nation's largest retailer, announcing a new partnership with OpenAI today. That means customers will soon be able to use the app to help them shop. I asked my student today, how many of you, when you go and search for something using Google or using ChatGPT? 99% of this, we don't go to Google, we go straight to ChatGPT, we ask the questions. Say, if I wanna know something about, for example, shoes, why not have the ad of the shoes? Why not have the link and come buy it right on the fly? So it's almost like a big family where they're kind of helping each other to maintain the power and the interest. Now, as far as Google, does that mean you think that Google is gonna lose traffic or is gonna lose customers in that sense? Well, it's a competition. It's a big competition for them. For Google, they really struggled at the beginning because one thing about Google, they have most of the technology, but it's sitting in the laps. They don't have the business mind to go and say, let's put this one in the market and see how that people reactions. Everything we talk about, the whole idea of ChatGPT started at Google. It was a really famous paper that published a few years ago, but it was a lab work, nothing practical. They realized that. I give them credit for it. So now, when you search for anything Google, the first thing that comes to you is the answer of Gemini, which is basically the answer of AI. They understand that. Now, that is start eating on their advertisement because usually you have a list and the advertisement next to it. They figure out a way to go around this by having simple answers and have links for the sponsored links. The key thing about it, this is a real competition. And this competition is so fast. It's not 10 years. It's by the month that the ChatGPT and OpenAI, they start coming up with a product that even the case of Google, they're trying to catch up with them. And this is where you see the real challenge. Well, you know, I love philosophical questions, right? So I wanna ask you, there's a war about AI talent. Everyone is going about talent. Absolutely. Would you say this war about AI talent, is it about money or is it about ethics? It's about the future. Because whoever own the AI advantage, the company will lead. The bottom line is we are at the start of this revolution and everybody would like to be the standard. You follow me. You follow my standards, my product. Your product has to be compatible with my product so people can buy it. So when they see that, you say, we have this person who is good in AI, this person who is good in AI. The investment here is to, not just on getting those people. You hear about companies like Google, companies like Meta, they're buying a whole company. For the reason of what? Because there are few engineers there who would like to get them with us. So this is, you're buying the talent through their company instead of going individually and grab them to say, okay, you stay with them. This is gonna be a department out of this. About, I think something close to $14 billion for a company. Apple is talking about buying a prompt AI. It's not because the product itself is competing with LGBT. As much as there are a lot of talents in that company, those talents, Apple need it so they can catch up with the AI revolution, which is, they're struggling to get to that state. So, I mean, 200 million, $100 million for the companies when they pay it for an engineer to join Meta, you have to think about it this way. What is $100 million compared to $10 billion they're gonna spend on that? It's a fraction of the price. And you have an advertisement. And you have every single AI engineer wanna join you because they say you are paying more for them. So this is, it's a big move for them. At the same time, they're telling that if you join us, you're gonna have more money. And the story of the Silicon Valley. People, you know, engineers from Google will go to Meta. Meta will go to open AI. Open AI will go to this. So this kind of exchange of engineers is very common. It's just when you settled and have the product, that's what's matter for them. And then we have, there's a description, an image of this circular AI and all these companies that interact with each other. I think that picture tells a thousand worlds of how this is all connected together. We often wonder what can be done from the perspective of legislation to provide safety or so-called guardrails for the quick development of AI before it gets out of hand. And whether by us, and what I mean by us is the United States, regulating ourselves, will it mean that countries like China can take the lead in AI development without regulation? Next is the AB53, right? That's the legislation that's been involved. The SB53. Here in California, we just saw some new legislation. Governor Gavin Newsom signed one of the first bills to regulate AI companies in this state. It is called Transparency and Frontier Artificial Intelligence Act, or SB53. It is the first to focus on the safety of these powerful AI models. You've been involved with it to some degree. Tell us about what it does and how realistic is that it's making a difference? Well, I mean, at the beginning of it is, I think the whole motivation for any state bill or assembly bill is we want to be ahead of the curve. So, you know, I published a lot of articles about we need to regulate AI in a way where it's really protecting. And this is like last year. I mean, before we hear about incident of this kid, you know, commit suicide because he was talking to Chad GBT and the story of this lady who stopped taking the medication because, you know, Chad GBT told her good for you, stand up for yourself once you went to the hospital. The same thing goes with this guy who Chad GBT told him, go and cheat on your wife because she's not making you good food. And this guy who thought that he can bend time and go back, you know, in time until, you know, he went to the hospital and he has a breakdown, mental breakdown because Chad GBT convinced him that he can bend time. So there is a dark side of AI. There is a dark side of Chad GBT, Gemini, Anthropac, you know, all of these things. What is required from the companies is they have to understand that they're trying to cover all the scenarios when it comes to an answer. Definitely there are one or two scenarios are bad scenarios. They need to cover that. Not wait until somebody do it and then we'll be reactive to that by saying somebody's suing them. And now we have to think about how can we regulate and protect people. A question that often comes to mind is who controls the models and algorithms behind the scenes? And more importantly, how does that affect us? I'm hoping our guests can provide some clarification and insight here. So how do you feel or how should we feel about someone like Sam Altman, right? Who basically directs that, you know, he's in charge of giving the direction to the models for the algorithms, right? Even though he doesn't do it, but he gives the direction, right? How should we feel about that? That pretty much one person is able to dictate in some way how we think. And, you know, I did some searches, just to give you an example, I did some searches on chat GPT and I asked like, you know, how great was Napoleon Bonaparte? I tried to stay away from sensitive topics, right? And it's also very politically correct. It says, well, he was a great emperor, but he also had these faults, right? So always kind of brings it both sides, right? So you can say that's reasonable, except maybe a French person may think like, no, he was great, period. You know, you don't have to bring this in, right? But again, the question is, how should we, how do we feel about that? That there's one company or one person that somehow gives a direction to all of the thinking that goes on? Yeah, too much power in the hands of one person is always concerning. We have seen what happened with a situation when one company dominate the market or one person who is running that company dominate that company and the company is going after what he is asking or she's asking them to do. The AI is bigger than one person. There's no question about it. He's now the leader of the moment. He is the leader of this phase of AI. And he understand that, you know, he understand that he has to do good and has to, so people can accept the fact that he is the standard. He is the person who can look and have the vision and everybody gonna follow him. The product they have is excellent product. There's nobody can say anything about it and they're first in the market, everybody. It's now everybody say, go on, ChatGBT. You don't hear people talking about going to Gemini or Cloudy or the other products there. And that's 82% of the market, that ChatGBT is really 82% of the market of the chatbot market, so it makes sense. It remind me situation of Sam Altman, you know, with Bill Gates. And how Bill Gates during the, I grew up in that, during the 90s, during when, after Windows 95, he just, you know, went through the roof with his, you know, his background and how powerful he is and how wise he is. And everybody's talking about his story. The same thing goes with Sam Altman. It's just the difference between the time of Microsoft and the rise of Bill Gates. And the one where you see it now with Sam Altman and OpenAI, it's a very short time. You're talking about November, 2022, when we heard about ChatGBT and took us a few months to understand what is this, what they're talking about. You know, people looking at, you know, how, wow, you know, what is this? And then in 2023, people start realizing this. 2024, people asking for results. 2025, we are in this one where now we are talking about enterprise level, deals with billions of dollars. This short time is really the concern here for somebody to have that much money. And this is why Google, Microsoft, you know, and you talk about all other companies. We don't forget our friend, Erin Mosk, with his GROK, you know, all of them, they are trying to take some of this halo around him by saying, we are in the market, too. You're not the only one who is in the market. Our product is better than your product, and this is what's proven. And it's not gonna end. My, you know, my prediction for this is, because everything is now going with the factor of 10 times what we have seen in the past, so it's faster in this case. Not faster only in time, faster even and bigger in the money that we spend. 20 years ago, a billion dollars, a billion dollars, a huge number. Now we talk about it as, you're talking about, you know, deals for a hundred billion dollars, and nobody even think about it. What's a hundred billion dollars? So this kind of a scale, we see it in a short time, you will see, like, you know, the games of the musical chairs. One time you're gonna find this company, one time you're gonna find this company, another company gonna show up now, and this company will take the crown, take the throne of the AI, because it is, at the beginning, it's still the flux area where people can say, I'm the leader, you follow me, this is the proof, and then suddenly you have somebody coming from nowhere. I'll give you a simple example. The reaction of the market to DeepSeek, and how it's really made everybody worried in Silicon Valley. This Monday, and the record $590 billion drop in the market value of U.S. chip maker NVIDIA. Spooking the markets, the announcement that a Chinese startup can operate its latest AI model for 18 times cheaper than Sam Altman's CHAT GPT-4. Is DeepSeek for real? You spend $5 million, and you get something similar to CHAT GPT, while they're spending billions of dollars, and people say, what happened here? Why are you spending that much money if we can do it cheaper than this? The key element of artificial intelligence is surprise. I'm not gonna be surprised tomorrow if somebody, if a company suddenly, somewhere in the world, you know, they say we have something new. You know, we're talking about France. We're talking about Germany. We're talking about Middle East. We're talking about Africa, Australia, Asia, you know, China, you know. A company will come up with something, and this something will just wipe out all the features of something we have now. So the driving force about the artificial intelligence is never, never tell that this is the end of the story. The surprise is around the corner. I would also argue the difference between Bill Gates' Windows 95 or whatever Windows. CHAT GPT and what happens today, it really affects people on a much broader scale, right? It's everything. It's shopping. It's entertainment. It's everything, right? With Gates, it was getting to get involved, but still it was still very limited in reaching everyone. Are you worried about getting laid off your job as your position may become obsolete and replaced by a bot or by an AI function within the system? The concern is reasonable. So let's see how our guest feels about this and what advice he may have. Let's talk about layoffs. How do you see this whole thing evolving? And there's so much investment into AI, and yes, they will be productizing and monetizing some of the products, right? But isn't a big chunk of the savings that AI companies expect to do is through personnel, through replacing personnel? And what do you see with respect to that and to layoffs? Okay. Layoff is not good. We know that. I've been through three layoffs in my life when I was working in the industry. It's not a good feeling. It's a feeling that for a person to say that we don't need you, you're not valuable for us. But the issue is I don't think it is a secret for anybody who's working in any company in Silicon Valley or maybe in the world, in this case, you want to scale it up, not to understand that you need to know something about artificial intelligence. The question here is not to program or create your own agent. It's how can I use one of the tools or the tools of AI to make my job better? How can I, for example, I'll give you an example. We talk about something called agentic AI. Agentic AI is an autonomous system. It's the next level after the agent AI, which is chatgivity. Agentic AI is you have a list of customers and it's account payable, basically. You want to ask them to pay you for that. Usually what happened, this person will go and check them, see the balance, and send an email to them reminding them about it. And then, of course, you're going to be careful about if somebody is an old customer, a new customer, and then you start communicating with them and you give them discount, you give them payment plan so you can get the money as soon as possible. If you give it to me for 10 days, this is how much we're going to. So that whole process is. Is all automated. All what you're going to do, just give them the account. They're going to go and communicate and look at the history of the customers and send an email and follow up with them and check the bank and make sure they're devised. By the end of the week, you'll have a report about out of 20, we have 17 paid us. We have three of them. This is their answers. And I think they have some problems. And the important thing here is, and this is what made AI really something valuable for business. You know what one of the biggest sources for AI when they search? Social media. News outlets. So for example, back to the example of the customers, three of them didn't pay. We check the news. They're really facing some financial problems. I was giving a presentation to an MBA group of students about supply chain and AI. Supply chain is one of the oldest topics there. And it's really solid for the MBA, for the Master of Business Administration. And where the AI will get in the picture. Supply chain is going to work. The thing about it is, it's going to tell you information about each stop of the goods that you are receiving. At the same time, it's gonna check the news and check the weather. And then get this information and send it up front so you say, take another route because there is a storm in that area. There is a strike. There is a coup in this country. You cannot do that. There is a war going on in this area. Stay away from that. Or anticipate this is gonna happen. So you have this information which is exactly like, you have one of the smartest assistants in your office and he or she will say, okay, yeah, this customer couldn't pay because I know, I heard in the news that they do this and this or something happened. And now we are talking about how the layoff will be part of it. The recent example is Salesforce. Salesforce, they have the biggest conference in San Francisco. But three weeks ago, the CEO of Salesforce, he said that I managed to get rid of 4,000 on my sales support, but I hired exactly the same number on the technical side. Now the question, why did he get rid of 4,000? The reason for this is it can be automated. Einstein agent, basically that's what they are using there which is the force agent. That's the name of the program there. It's the internal AI. And it's actually doing what I just talked about it, how it's go and- automate everything. So why I have three people doing it? I have only one. So he took that number of the support sales team from 9,000 to 5,000. Companies, they save money by reducing the payroll which is the biggest item on the expenses, about 50% of the expenses and by increasing the sales. So if you can reduce that and increase the sales, you're doing great. Now back to the news about Salesforce, they ask him about any change in the customer satisfaction. He said exactly the same. So if the customers cannot notice that there is a reduction of 4,000 out of 9,000 and the same satisfaction there, then this AI is doing a good job. Well, it's doing a good job as far as the company goes, but not for the people who got laid off. No. Yeah, because the ones who got laid off, they may not have the skills to get that level of understanding of the technology. So that's my main question. For those people, what can they do, right? Right. Then that's gonna be an issue. That's a good question. And there's a saying in Silicon Valley, AI will not take your job. People who know how to use AI will take your job. So if you take this in consideration, you'll understand that the only thing which is constant in Silicon Valley is change. And we live through this all the time. So if you hear about AI tools, you have to question yourself, how is this gonna impact me in a positive way? How can I use it to improve my position, to make sure that I can use it for my work? If there's any training, if there's any certification. You know, I have about 61,000 followers on LinkedIn. I receive emails from non-profit organization. How can we use AI to improve our pitches to the customers? If there's any workshops that we can take, how can we integrate it in our offering? How it's gonna help us in reducing our expenses? So if companies, if organization at all these kind of level find out that this is a tool that's gonna assist them to improve their performance, because we know that AI actually very famous for three things, which is doing things faster, more accurate and cheaper. And if we take that model and apply it to any industry, and you can improve it and make it product faster and more accurate, of course, you know, the customer is gonna be happy. So that is the question for anybody who is working is always question yourself, where can I improve my position, my tools, my skills using AI? I'll take certification, I'll take training, I'll do this and this. So make sure that, you know, that's something that I will be protecting myself. Now, the last thing I wanna talk about is companies like Meta. One of the, you know, filters they use to let people go is how would you use AI in your job? Now, if you don't have a specific answers with specific examples, you're in trouble. And it's the same model used for others, you know, for other companies. Now, tell me how would you use AI in this case? I mean, simple thing, simple thing, you know, just, you know, not to complicate things for, you know, how, how can I use it? I mean, what I'm gonna do with ShadGBT. Microsoft Copilot, used with Excel, with Word, with, you know, with all the kind, use it and see how it's gonna help you improve your skills with Excel, do the functions for you, do the running, do the routines for you. The same thing with Microsoft Word, you know, they have the Copilot, you have it running. So that's a way for you to tell yourself, okay, now I see where's the value. So that's a very good point. And to follow up on that, that's in a way, in many ways, that's a big question. Does AI help you in that sense or make you dumber? You know, are you gonna be able to function, you know, if something, Excel or GPS or whatever it is, right, is gonna do it for you, but then is your brain gonna function at a different level that you cannot do it yourself, right? Well, that's a good question. It's up to you how you treat the results. If you just take it as a face value, you're not gonna learn. If, for example, Microsoft Excel, and then you ask Copilot to run this for you and have an equation, I wanna see how that goes, yes. It's basically the transparency that you convince yourself that you need so to understand that it's not just a box, input and output, and that's it. I wanna know, how did we get this number? How can I trust that number? You know, and that is the key. This is why you will see, you know, I did an experiment you'll see about chatgivity. I teach advanced math, you know, to students, and I have, and we talk about matrix, you know. Matrix is basically the heart and the soul of the AI. In a way, it's basically the linear algebra, that's what happened. It's basically, what you're doing is you're doing calculation at the same time because that's the matrix calculation. So we talk about multiplication, inverse, or anybody who took linear algebra understand that. So I ask chatgivity to give me 20 problems of matrix and with a certain operations. It's okay, it created very nice setup. Okay, now give me the answers. Give me the chatgivity, I use the word he, you know, it's actually ed, not he. Now this is how our mind, you know, set up or something, because you feel that you're talking to somebody that an intelligent entity. So give me the answers. Now, I've been teaching for over 25 years. I looked at one of the answers and I don't like it. I don't like the answer, I said, this makes no sense. So I took the same questions and I went from chatgivity five to chatgivity four. I said, find the answer for this, this set of 20 questions. Give me the answers, different. I found out that 17 of the answers were wrong. So think about it, if you take this one and apply it to, you know, somebody's position. We have heard about attorneys, they've been censored, why? Because they give some kind of, they file answers, they file some kind of briefs there, and they found out that chatgivity is talking about cases that never happened. Or some kind of a federal law that does not exist. Because this is the hallucination part of it. Chatgivity is designed, or AI in general, it's Gemini, chatgivity, I don't wanna start, you know, keep beating on chatgivity, you know. But all of them designed to please you. Hallucination is an answer which looks good but it is wrong, that's hallucination. So when you have 17 out of 20, when you have the problems on the filing of that attorney and they are wrong, now that's dangerous. You cannot apply this when you send something to the customer, you have to be smart enough to do the quality assurance, the quality control, where you say, let me check this, make sure this is correct. And then you can build that trust over time. But you are doing that, and maybe some of your students and PhD and the really smart tech people will do that. But if we give this to the young people, you know, the middle school or the high school, they're already not so much into learning, right? They'd rather play or something. The chance of them really verifying that answer is probably less. So what's your, should we be worried about the direction it's going into with people who are not gonna verify like you said? Yeah, too much help is not help. That's the key. If you just throw those questions and it was chatgivity to find the answer for you, I guarantee you, there will be one time when you have the wrong answer. And that's the time where you're gonna be exposed. So losing points could be a learning lesson for the student by saying, this is wrong, this is wrong, this is wrong. But it's AI, how can it be wrong? AI is wrong until you prove that it is right, which means you have to check the answers. You know how to get to that point. Absolutely, you have to be the person who knows the steps. This is a big area in AI called explainable AI. Explainable AI is an area that I wrote a few articles about it, and the reason for this is, how can I convince myself that the result is correct? If I don't know the steps of that. Example of this, you use AI in the medical field, and then you have the diagnostic. The doctor's gonna say, I wanna check how the AI get to that kind of diagnostic. And because that's gonna, this is death or life things, medication, things like, you cannot play games with this, you cannot take chances or something like that. My math classes, the worst thing can happen with a student, they can lose points. But when you talk about medication, when you talk about the health, when you talk about, that's something you need to know what exactly how the AI achieve that part, and then you build trust over time. And you also verify about this. And run it again and again to make sure that it's correct. Surrendering our intelligence, critical thinking to AI is the biggest mistake you can see now. What is the future utopian society look like? While it may not be easy to forecast even five to 10 years into the future, we would still like to hear what our guest has to say about this. Professor Bonafat, thank you so much for your time. I have one last question. And I know you don't have a crystal ball, and it's hard to predict the future, but how do you see the future in the next five to 10 years? Everything is changing so fast, no one can tell, but I wanna get your take. Where are we heading towards with AI? Are we gonna be in a world that robots and the bots, they're doing everything for us, and we just kind of sit there and program or enjoy? Or is it something different? What do you see? Well, I mean, the robots are coming, but it's not with the speed we're looking for. I can borrow this from Hansing Yong about his, when he said the future is the physical AI. Physical AI is the robots, the cars. We will see AI almost in everything. You can see it in cameras, you can see it in the chairs, you can see it on the houses, where it's gonna tell you the proper way of doing things, because it's really something which is designed for specifically for that field. You will see it helping small companies, big companies. It's the catalyst of making sure that the whole society is upgrade, because doing smart things. The key thing about it is, if you have a robot, and we see them all the time on TV, how a robot will do this. The problem is not the robot, the problem is the human. Because if you see some of the incident of the Waymo, that autonomous car, it's finding its way, there's no problem, but if a human went there and start stand in front of it, or have a construction cone at the top if it's gonna stop, or burn it in some cases. So the important thing for the future here is, the acceptance that AI will upgrade our life, will upgrade our use, will upgrade what we are doing every day, in a way which is gonna save us time, save us money, and make sure that we are using it the proper way. Ikea, I wanna assemble an Ikea furniture. It's very difficult, everybody knows the story of that. How about if there is a small device with it, or the device I have, look at the different parts and guide me through this visually. No, don't do this one, take this. This is J, this is C. It's like somebody who is from the store standing next to me. This is what I see in the future. It's how it's gonna sense the human. There's two things, two terms very common in the valley. Automation and augmentation. Automation means you take over. The augmentation is what we are talking about, which is the human and AI work together, so they can complement each other. We are at this stage. The automation could be in the future. Do you have any concerns whatsoever that the AI in general is gonna make people lazier or function less, be it physically or mentally? We'll have that impact at the beginning. We'll have that impact when people find out that somebody else will do the job for them. We will have that. Why only the beginning? The transition, it's the transition period between two era. The first era, which is we're talking about the introduction of the AI, and now the AI will be part of that. So this transition, where people do not realize that I have extra time, I can do something else. I can be more productive in another way. People enjoy the free time when they have it, but after a while, they say, no, I have to do something. I cannot do that. And also, the actions of the layoffs, when the layoffs start hitting right and left, people are gonna say, okay, yeah, AI is good, but at the same time, I have to use it to make sure that I'm more productive. The future is bright in a sense of we're gonna have smarter products, safer products, and we're gonna get the product faster in so many things. Cars will be smarter because they're gonna talk to each other, telling you that stay away from this car because they're angry inside that car or this car has brake problems. Instead of, now we see it simply with that flashing light on the mirror just telling you that there's a car next to you. That's the basic thing about it. You can talk about microwaves that give you some health. Don't cook it too much. Oh, don't put it this one because this is two minutes is too much for it. Same thing with ovens, same thing with the refrigerator, same thing. This thing's gonna make people really free to do something else and to be more productive in something else. Maybe we'll have time to spend with the kids. Maybe it's time to spend with each other now because we don't have to worry about all those routine things we are doing every day. Again, Professor, thank you so much for your time. I appreciate it. Thank you. No problem. Thank you. Thank you for watching another episode of Bay Area Innovators. If you enjoyed this episode and you know someone who should be on our show, please send us an email at sfbay.epochtimes.com. We would love to hear from you. Thank you and see you next week.