Boom Times For ChatGPT, OpenAI’s Deep Research, AI Super Bowl

26:42And again, like whatever 4.0 became, 4.0 mini, whatever, they could have just called one of these GPT-5 and tried to like build some hype around it and we'd all go along with it. So at a certain point, if none of those products that they are releasing, and we are both paying$200 a month right now for these new products, so maybe they'll be okay, and they don't need to. But if the pressure comes, I think they have to release something. Okay. So you've mentioned multiple times that we were paying$200 a month. I mean, when I spent$200 a month on SaaS. We're talking about it. I'm talking about it.

27:14We did it. So we could tell you, everybody at home. For you, for our listeners. OpenAI is ChatGPT Pro is all about. And so we will skip our plan segment on ChatGPT search and tell you about our experiences giving OpenAI so much money to use ChatGPT. So OpenAI now allows you to spend$200 for a few things. Unlimited use of ChatGPT. Their AI agent operator that will go use your browser and do tasks for you. and then something that just came out this week, which we teased in the open, a new ChatGPT agent called Deep Research. By the way, amazingly, they decided to take the exact name for the similar product that Google has.

28:03We'll cover that in a bit, but I found that fairly shameless and wrong. Let me read the story. OpenAI is announcing a new AI agent designed to help people conduct in-depth complex research using ChatGPT, the company's AI-powered chatbot platform. This is from TechCrunch. I love how reporters still have to write that ChatGPT is the company's AI-powered chatbot platform. Just in case you didn't know, TechCrunch. You're writing to a tech audience. What are you doing? Appropriately enough, the bot is called Deep Research. Opening, I said in a blog post published Sunday that the new capability was designed for people who do intensive knowledge work in areas like finance, science, policy, and engineering and need thorough, precise, and reliable research.

28:47It could also be useful, the company added, for anyone making purchases that typically require careful research like cars, appliances, and furniture. We have both attempted this. It is, in my mind, the best research agent that you could potentially use right now. And Ranjan, I know you've been deep in the weeds, so I'm curious what you've been using it for. Last week you said operator was interesting, not worth the money. is deep research worth the money? Yes. I will say, yep, yep. It is. It's fantastic. It is incredible. And I said last week, operator is mesmerizing and useless. Deep research is fantastic.

29:30So basically, market research-oriented questions asking, what are e-commerce trends within a specific category? Look through Reddit. Look through a different research report. Look, based on geographies, even asking an initial question, it will break down and ask you back good questions as though you're talking to an actual research analyst. And then it will provide you an incredibly well-sourced number of bullet points, paragraphs with hyperlinks embedded. Like it does an incredible job with this and it makes smart arguments the way you would expect from – I don't want to say PhD level person because I don't even know exactly what that would mean in terms of intelligence.

30:14But overall, this to me was huge and it did a good job. My kind of litmus test on all this is I think there's a lot of generative AI where people, products come out and people, rather than looking at what is available today, talk about what it could be in the future. Operator definitely fell into that category. This, on day one, on day zero, actually delivered what it promised. And I mean, honestly, you have to figure if you're in any strategy-oriented role, any just any business-oriented role, research-oriented role, this becomes incredibly valuable. Yeah, I've used it for a number of interesting things.

30:53I was on CNBC Tuesday to talk about Google earnings. So I asked it to give me an entire like prep document about the state of Google. It was – yeah. So this is the cool thing about it. It searches the internet. And it will, if you ask it, it will give you current information. and so it like pulled out like the projected ad spend and right now it just has text but over time opening i anticipates it'll be able to put charts in there which i think will be fascinating and i thought wow like i won't prep for cnbc without this again it is really i think you're just going to end with i won't prep for cnbc but yeah no i know i do my i do my prep i work very hard on that and on this.

31:33And I also had it give me a prep for the podcast today. And so I actually took last week's prep document. So for folks, we spend the week just kind of dropping stuff in a Google Doc that we find interesting. And now on our Discord also, which has been quite fun. And I just downloaded the prep doc last week, and I put it into the query. And I said, use this as a reference. You can now go to the internet and search our show and see what my episodes with Ronjan look like and give me some topics to talk about. And at first, it went super broad and gave me what I would do if I was doing an AI overview podcast.

32:14And I was like, no, I need only information that came after February 2nd. And so, of course, the top AI story of the week is deep research. So it gave me - It talked about itself as the top - Oh, yes. Oh, no, you're good, Deep Research. You're good. Look, it has selfish tendencies and motivations. So it does really feel human. That's AGI. I think it's AGI. That's human. It's AGI. Definitely. And then it really broke down, next thing, Alphabet earnings, which, again, I was on CNBC to talk about. And it says AI spend sores among Deep Seek Challenge. And it talks a little bit about what we're going to talk about in a bit, just the capex that Apple is going to go through to try to build – AGI, but AI, right?

32:59So I found that to be very good. And then I also asked it to sort of give me a report on like how to enroll in healthcare in New York State. And it just, yeah, it was, I don't think AGI, I think super intelligence will help us with that on that one. Well, I have a question. Is there a moat for this for OpenAI? Is it, it's a really, really well done product. And again, going back to my general thesis that OpenAI's strength lies in the product and the models shouldn't matter. And hopefully they recognize that too. And if they'd only invest in the product more, but it's a good product, but can DeepSeek or Google or whoever else?

33:40I mean, Google has a product named Deep Research. We just don't have access to it. I don't even - Oh yeah, we do. Is it public? It is public. Oh, have you tried it? I tried it today. I had it put together a similar episode plan. Who won? OpenAI won. Okay. Although Google was good, but OpenAI won. So the question of, is it a moat? No, I don't think it's a moat. Yeah. Okay. I switched my laptop over here because I'm about to read a lot and I don't want to face away from the camera for the entire thing. I think that's right. And we can proudly see our Apple devices here. That's right. Even though Apple intelligence sucks.

34:14Apple Intelligence. Oh, so I did buy a new Mac computer this week. Of course we did. And I went to the Apple Store and they're like, have you heard about Apple Intelligence? And I'm like, oh God, yes, I have. By the way, Vision Pros, nobody. Nobody anywhere close to them. Are they still up in the Apple Store? They're up, but they used to have a special section and now they're off in a corner and legitimately no one cares about them. I don't know what I would do if I walked into the Apple store and the sales rep with a smile on their face came up to me and said, have you heard about Apple intelligence?

34:47I might be arrested. I might be arrested. Calm, cool, and collected. All right, Siri, Siri, calm, Siri, calm. So this is – the post that I want to read is from Ethan Malik. It's called The End of Search and the Beginning of Research. he's a Wharton professor that's actually quite good on AI and he's been on the show and which I have to mention every time we set his work it's just part of the contract part of the contract and he makes this point that what we're what we're seeing right now is this combination of a new mode of AI interaction called reasoning which we talked about and agents so let me read some of this because I do I do think it's so good he says for the past couple years whenever you use a chat It worked in a simple way.

35:34You type something in and it immediately started responding word by word or more technically token by token. The AI could only think while producing these tokens. So researchers developed tricks to improve its reasoning, like telling it to think step by step before answering. That approach called chain of thought prompting markedly improved AI's performance. So that's like the move from traditional LLMs to reasoning. He says,

36:28In months, we've seen dramatic improvements from OpenAI's O1 family to their new O3 models, and that's where DeepSeek factors in. And DeepSeek has its R1 model that everyone went crazy about last week was a reasoner. So basically what's going on with this deep research, he calls it, he says, Deep Research is a narrow research agent built on OpenAI's still unreleased O3 reasoner with access to special tools and capability. You can see that the AI is actually working as a researcher, exploring findings, digging deeper into things that interest it and solving problems like finding alternative ways of getting access to paywalled articles.

37:06And it goes on for five minutes. Sometimes it can think for five, ten minutes. He ended up getting a 13-page, 3 ,778-word draft with six citations and additional references to one of his queries. This is the point I'm trying to make by reading this. I think what we're experiencing with deep research and the reason why it's even a question that it's worth paying$200 a month for is because it is an implementation of these new AI methods that we're starting to see with deep research. We're starting to see with R1. And it might be that we're just at the cusp of something very interesting happening in AI with this reasoning moment.

37:43What do you think about this? And do you think that I am reasonably excited about it the same way that Ethan Malik is? No, I completely agree. And this is to take – I don't want to be cynical about it. But to me, I'm incredibly, incredibly excited about, again, watching what deep research was able to do and what that means for certainly any kind of like just general research type stuff. But also – and OpenAI very kind of, you know, from a marketing perspective, shoved in. And you can research couches because they want to try to have some more commercial aspect to this or more consumer-focused aspect.

38:21But this is going to happen. Like this is going to – there's no question to me that these type of models, these type of actions will kind of reshape what the web is, the way we interact with it, the way we interact with most apps. And I think that's good and that's going to completely rebuild so many areas and so many things. I think the area to kind of maintain some caution is what does the word agent mean? What does the word agentic mean? Is this agentic? Is this something else? I think that term is still being thrown around a little too cavalierly because like now they've kind of gotten it to where a simple chatbot query is an agent, which I don't think is necessarily the case.

39:04Just seeing chain of thought processing it from DeepSeek isn't agentic. But deep research showing you that it's going into a bunch of different websites and showing you which websites it's going to and showing you what it's extracting from those websites and how it's compiling it, I think that's huge. I think that's incredible in terms of showing people this is possible. To me, the biggest change that I think needs to happen is letting people interact within that process. Because right now you kind of like put in the prompt, let it think for 20 minutes sometimes, and then get something and then have to revise it.

39:43But imagine you can actually in the middle of all of that action say, actually, wait, I don't like that. I like this. I think that will be a huge change in terms of how useful this stuff is. Not only that, it's going to learn your tendencies. And the more you interact with these things, like right now, the memory is just something that they don't have. And that memory is coming. So they'll learn your tendencies, and next thing you know, you're going to have like a research assistant that really knows everything that you want. So – and just to think about how much room there is to improve, there's already so much going on now.

40:19This is – Malik is pretty level-headed. Again, Wharton professor who's deep into AI. He says, these systems are already capable of performing work that once required teams of highly paid experts or specialized consultancies. These experts and consultancies aren't going away. If anything, their judgment becomes more crucial as they evolve from doing work to orchestrating and validating the work of AI system. The labs, the research labs, believe this is just the beginning. They're betting that better models will crack the code of general purpose agents, expanding beyond narrow tasks to become autonomous digital workers that can navigate the web, process information across all modalities, and take meaningful action in the world.

41:00It's pretty high praise. It is. I think to me, I was thinking, especially on that shopping side of things and like thinking, OK, management consultants potentially replaced or that industry certainly changes us having to do lots of research in general. But we have very specific parts of our job and profiles for the larger population. Like, where does this start to apply? And the shopping thing, it's still weird to me because how much of that does someone really want to be automated? Like is the process that the agent is going through, is that actually the joy that a person experiences? Is going around and clicking on different websites and reading through their views, is that annoying and a pain?

41:46Or is that the part of it that people actually enjoy? Do you like online shopping? I do. I do. Yeah. There is enjoyment. And also like you'll never feel that emotional attachment to something you get if the bot just got it for you. Yeah, exactly. Like it's the act of doing the shopping or doing the research sometimes is – am I getting into – it's the journey, not the destination right now? I think I am. Well, it's also the destination. Oh, it is the destination. But there is definitely joy in sort of finding cool stuff to go visit and then going and doing it. Like if a bot is just doing that for you, then it's just like, all right, well, I could have just Googled it and went to the first result.

42:24Yeah. So I think right now – and don't get me wrong. This – the research, consulting, strategy, journalistic – this is a pretty big opportunity in market. I'm not downplaying that at all. But still, who is using this and how, especially to expand outside of that? It's still not a trillion-dollar market. I mean, to get to that, what are the use cases for agents? Because, again, Apple intelligence cannot find our flight information in our email when you ask Siri, which they pitched us as agentic, and that's my momentary Apple intelligence bashing. But, like, what are actual agents being used for in everyday life and for normal people?

43:09People have not been able to articulate that case well, and I'm still waiting for that to happen. It might have to be humanoid robots going back to the NVIDIA conversation. All right. All right. Humanoid robots are always an easy sell, I think, for anything. Everyone's building them. But let me ask you another question about what Ethan is saying, which is basically that consultancies aren't going away and that the orchestration of AI is going to be more important than what the actual reports are. I don't know. I've always been on the side that like, A, I will be creative in the workforce and not destructive.

43:43But I think you have to look at this with clear eyes. And that is that there are going to be jobs that just completely go away, even if more jobs are created over time. And seems to me like this stuff is going to, not maybe not get people fired, but certainly make a company think twice before hiring. Not 1 ,000%. Actually, I think it was from Goldman Sachs like a couple of weeks ago. They were talking about how an S1 financial filing, which is an enormous document, but was always kind of a non-human, kind of like really plug-and-play type of document, used to take two weeks and 16 bankers and now can be done in like five minutes.

44:21And again, that makes complete sense to me. You have a bunch of data feeds. An AI can aggregate it and you just review the entire thing. Like that's going away. Management consulting, all the research and grunt work goes away, and that's good. And, I mean, you can imagine out of all the job displacement, the least sympathetic group when we say the bankers and consultants are under threat. Pour one out for Bing and the bankers. Yeah. By the way, one of the interesting things, I'm sure you noticed this too, it's way more accurate than it's been. Way less hallucinations. You can click. It gives you sources.

44:57You can click to the sources, and the numbers are good. Yeah. Actually, that's a really good point. Everything I clicked through was 100 % correct, which was almost shocking to me in terms of the output. So I think this meaningfully changes, especially any kind of job that involved opening a lot of browser tabs and copying and pasting text and synthesizing that text. That is completely changed, and there's no way to argue. I get saying orchestrating and validating will keep certain populations at least a little less scared, but this is big. This is huge. My internship from 2009 just disappeared.

45:36I mean, half my life has disappeared right now. So it's not just OpenAI. Google also has a release this week. They released a set of Gemini thinking models. From TechCrunch, Google is bringing its experimental reasoning artificial intelligence model capable of explaining how it answers complex questions to the Gemini app. The Gemini 2.0 flash thinking update is part of a slew of AI rollouts announced by Google this week. Also, talking about the CapEx, the company is planning to spend$75 billion on expenditures like growing its family of AI models this year. That's a considerable jump from the$32.3 billion on CapEx it spent in 2023.

46:21That's a lot of money. $75 billion? It's like when Satya said, I'm good for my$80 billion, right? Sundar saying, I'm good for my$75. That, of course, had me go check where NVIDIA is right now. So it's down 12 % since the DeepSeek announcement, and it's back up a little bit. But the story of compute, the story of NVIDIA, the story of chip demand, I think the one thing that was interesting about the last week or so, I mean, Mark Zuckerberg and Meta did not show that they're moving away from this CapEx spend. Google's coming out and saying it. So it's clear that the tech giants are still taking this path.

47:03And OpenAI still wants this path and saying Stargate is very important. So I think it's interesting because the entire big technology industry has a vested interest because if compute and CapEx are critical, then only they can win. So this is going to be really interesting to watch play out, that as long as compute and CapEx are critical, they're the winners. So they're going to say that. They're going to keep spending. And if someone – that's why I still think, and we talked about this, Deep Seek was such a big story and remains a big story because it showed that that entire narrative can just collapse on its own if smaller players come out and do interesting things.

47:47That's right. And by the way, I like went out on CNBC and I said I think Google is on its way to being the best position company in the AI race. And of course, they promptly missed their cloud numbers and went down double digits. But I think they do have so much potential. The one thing they really need to fix is the way that they name their models. So if you go to Gemini right now, there's Gemini 2.0 Flash. There's 2.0 Flash Thinking Experimental. There's 2.0 Flash Thinking Experimental with apps. There's 2.0 Pro Experimental. There's 1.5 with deep research. At least we know what that means. 1.5 Pro and 1.5 Flash.

48:24Do they do this? Is it just a joke to them? Don't change Google. Don't change. I love it. I love it. I want Google to never stop naming models. You know, OpenAI, I'm a little disappointed in them. I think their model naming convention is not good. I want that from Google. If they ever had a perfectly streamlined suite of products with a beautiful name, I would question everything. Remember Bard? None of this stuff works. They have a thousand chat apps. Nobody uses Google Chat. They need to spend – No, no. Gchat was the greatest product of all time and they – I don't even – it's called like hangout chats with meat or something like that right now.

49:02I'm ready to put my head right through the table. I am. They're spending$75 billion this year. Could you spend$500 million and buy an ad agency and just name this stuff like normal human beings? Get a subscription to Gemini 2.0 Flash Thinking Experimental with Apps and ask it to name your models for you. But I don't know. But with all the turbulence and volatility in the world, Google giving its models and products really inconsistent names just makes me feel just a little more at peace. This makes you happy. Don't change, Google. Don't change. So speaking of AI and job loss, there was a great New York Times story about Klarna over the weekend.

49:43Klarna is, of course, a payments startup. It says, why is the CEO bragging about replacing humans with AI? Ask typical corporate executives about their goals. in adopting artificial intelligence, and they will most likely make vague pronouncements about how the technology will help employees enjoy more satisfying careers or create as many opportunities as it eliminates. And then there's Sebastian Semyonkowski, the chief executive of Klarna. He has repeatedly talked up the amount of work they have automated using generative AI. Okay, yeah, that sounds familiar because he was on the podcast and he was talking about how much work, they automate it with generative AI.

50:20Oh, that's a story that catches my mind, that catches my eye. Let me scroll down. Okay, so this time story, as usual, cites one podcast and another podcast. And then it says this. When the host of the Big Technology podcast asked why he was so intent on taking Klarna's AI prowess, C. Minkowski said it partly, it was good for humanity. We have moral responsibility to share what we are actually seeing, that we're actually seeing real results and that actually having implications that are actually having implications on society today. Then he acknowledged that another part of the motivation was self-promotion.

50:52For sure, we are regarded as a thought leader. I was pretty stunned to see the Times name our show in the story, especially because they had so many podcasts be nameless. So thank you, New York Times, for citing us. And I want to point out this was Ron John's question because we spoke right before and he goes, ask him why he's talking about it. Very interesting question, Ron John. Thank you for that. Well, I'm glad The Times is finally on it, that what is the motivation behind bragging about replacing humans with AI? I think – again, I'm glad. I genuinely am glad that they're asking this question because the marketing impetus behind all these pronouncements have to be questioned.

51:30And that certainly applies to Sam Altman and that certainly applies to OpenAI and our entire AMA discussion from earlier. And I did love that moment that there was this big kind of pronouncement, literally the good of humanity. And it's self-promotion for sure. We're regarded. And he even called it a thought leader, which is normally I feel maybe some people out there use that seriously. But most people I know do not use that as like a serious term. And he kind of just was like, yeah, we're a thought leader. We're self-promoting. They are still, I believe, looking at IPO. So, yeah, this is a question that if people start pushing on more, start asking more, not why is someone saying this, but – or sorry, asking why is someone saying that, not just the content but the motivation.

52:21I think the whole AI industry needs to ask that question for every announcement. Absolutely. I was stoked to see that story. I was stoked to see the headline be the exact question that you asked. And I was surprised and grateful that we were mentioned. Not by name, but by podcast name. Okay, I will take it. They put podcast name more than host name. How do they not just say Alex Kancherwitz from the Big Technology Podcast? It would hurt that. They would really have to cry. Oh, come on, times. So we are on the cusp of the Super Bowl. If you're listening to this, either the Super Bowl has happened or it's about to happen or maybe the Super Bowl is happening and you're one of the few humans on earth that's listening to the podcast as the game's going on, in which case we appreciate you.

53:08Thank you for choosing good content. Guess who's going to be in the Super Bowl? Of course, the Chiefs and the Eagles, but also OpenAI and Google. This is from the Wall Street Journal. OpenAI is set to make its Super Bowl ad debut. OpenAI, the artificial intelligence company behind ChatGPT, again, I just love the soul coming out of the reporter having to write that explanation, is expected to air its first TV commercial during Sunday's Super Bowl. So OpenAI's brand took off in late 2022 when it launched its wildly popular chatbot, ChatGPT. The big game ad is by far OpenAI's biggest foray into advertising as the race to build the world's most powerful AI technology and win over users intensifies.

53:48And The Hollywood Reporter also says about Google, Google bets that the Super Bowl can turbocharge Gemini's ad business. Google is planning a major Super Bowl ad for its Gemini AI product line, including a 60-second ad in the second quarter of the game and purchasing 50 different 30-second ads in every state, each one spotlighting a local business that uses its AI software. That's smart. I was reading this news almost instinctively saying, spend that money on buying GPUs and scaling your models. However, I think this is brilliant on behalf of OpenAI and smart on behalf of Google. You got to get your products in the hands of people like we talked about at the beginning of the show.

54:28People have to use ChatGPT. People have to know ChatGPT and millions of people are going to use and know and talk about ChatGPT, especially if the ad is half decent after it's in the Super Bowl. I think this is the game. It's five, whatever, five, ten million dollars really well spent by OpenAI. I think for OpenAI specifically as well, I mean, they clearly have been moving towards a more formalized professional marketing function. In December, early December of last year, they had hired the former Coinbase CMO who had been at Meta for 11 years and was global head of brand and product marketing for Instagram.

55:04Actually, the whole suite of products, so serious marketer. So I'm very curious to see what they're going to do. that the challenge for me is twofold. One, the AI ads to date we have joked about have been terrible. Apple intelligence, not to go back there, but if we remember they had all these ads of basically people kind of like not wanting to pay attention to people, not as important to them, so summarizing their content in real time. But even Google had a disastrous ad in the Olympics, if you remember, where it's like a little girl wants to write a letter to her favorite athlete and the dad uses Gemini to do it.

55:44Like how tone deaf, like it's still one of the greatest things I saw. I was like, these companies need to just hire one person who's just normal and sits in the corner and does nothing, but just gets shown the ad and says, this is terrible. You love this idea. And I don't think it's a bad idea. Literally just in the corner, they get paid a lot of money and they just sit there and, okay, that is just terrible. Oh, okay. Normal people will think that's good. Man, I go back and forth though because the other side of this is this generative AI has a branding problem. When I still talk to most non-tech friends and family, they still associate generative AI content as bad.

56:30And like that's the whole joke. It's like, oh, that's so ChatGPT. Did ChatGPT write this? Yeah, did ChatGPT. No, no, I mean it's still the entire – Which is a fair insult. Which is, but it's – We used to call kids Wikipedia when they were saying generic stuff. Generic stuff. That's what I mean. And to me like actual products, if you know how to use them, are so far beyond that stereotype of AI-generated content is like overly formulaic. And that's like two years ago, ChatGPT. But so there's a clear branding problem. How do you solve this when people have a negative connotation of the technology, have a negative connotation of you, the company?

57:12Like it's got to be a damn good ad. And I think the crypto bowl of 2022, I believe it was, January, with the Larry David ads, the Coinbase ads, remember the bouncing? They're brilliant ads and they're really well done. But like I don't think it helped the end. In fact, it certainly was not a good moment afterwards for the industry. Well, it certainly got a lot more people to put their money in crypto and then they got the rug pulled. That's true. But this is different. Like I don't think we're going to have the same scam. No, no, no. To me, that part isn't the scam. But how do you solve this branding problem?

57:44I think like if you're Katie Rauch, the CMO of OpenAI, you're sitting in a room. You're like, we have this branding challenge. I hope they recognize it. How do we overcome it? I am very excited to see what this commercial looks like. What's your best guess of what it's going to be? I'll give you mine. All right. I think maybe you're going to have Shaq and Charles Barkley sitting at the inside the NBA desk. And they're like saying nasty insults to each other that they're like typing and ChatGPT is giving to them. Or maybe something voice. Maybe it's just somebody like driving in the car and like having a conversation with ChatGPT.

58:18And it'll be like a Snickers commercial. It's like bored, you know, bite into a ChatGPT. All right. Hold on. Here's – do you know the most successful kind of like even skeptical AI thing that converted AI skeptics I saw? I don't know if you saw like ChatGPT roast my Instagram profile. Oh, yeah. Where you literally just screenshotted your grid and then put it on. And that was a moment that I think a lot – I saw a lot of people being like, wait, this is genuinely creative. It's not formulaic. It's actually funny and interesting and creative. So I think that would be mine, Sam Altman or other famous people letting their Instagram profiles get roasted by ChatGPT.

59:04That's my ad. Yeah. Okay. So basically we both agree that it's some form of AI roasting humans. AI roasting humans. And it's got to be funny. It's got to be good. I don't think trying to tug at heartstrings in any way. Google is going to do that. Google is going to do that. I'm sure it's going to be like a kid and a grandmother just trying to communicate with each other and then Gemini will solve it. But the weirdest part, like I introduced my dad to Gemini Voice and he really – he has Parkinson's and has trouble typing into his phone. And it was this emotional moment. Like genuinely that could have been the commercial right there.

59:42That's going to be the ad. Yeah, it could have been. And they're still – that is sitting there and somehow it's still going to get screwed up. They'll mess it up. Somehow. They have made some really beautiful search ads before in the past. Tech ad of all time. And I realized how old I was when I brought that up to some younger people. Parisian Love. It was from 2009. It's a Google search ad where – and it really made Google search emotional where someone goes through the process of studying abroad, falling in love, getting married. It was amazing. If they can pull off the 2025 Parisian Love, I'm betting it all on Google.

1:00:17If they can have a good ad on that. I wouldn't bet against their agencies. Okay. We need to get out of here, but who do you think is going to win in the game? I'm a New England Patriots fan. Yeah. I don't want Mahomes to three-peat, so I want the Eagles to win. But my God, the Chiefs, somehow, they always do it. So I will grudgingly bet that the Chiefs will win. And I am a Jets fan and I want Tom Brady's legacy, especially his and Bill Belichick's legacy to fall apart. So I'm taking the Chiefs. All right. I mean, I'll take the Eagles just to take the other side and that's where my heart lies. What's your prediction on what happens at halftime?

1:01:03We've got Kendrick Lamar coming out. I have this feeling that Drake is going to come out. They're going to hug. And then they're going to both take out fake guns and shoot them. And it's going to say, bing. Wait. As in? The search engine. As in being that. That could be the most aggressive call of all time. And if you are correct about that, I mean, it's time to retire. They should hug it out on stage. I do like this. If they can do it, world peace will happen. That literally We Are the World comes on just like Stevie Wonder at the Grammys and Kendrick and Drake sing it together. Canada and the U.S., friends again.

1:01:42Let's bring peace at this Super Bowl. Peace to all of us. Yes. as the Eagles and the Chiefs go at it. That's right. All right. Well, Ron John, great to see you in person. This has been so fun. This has been fun. Let's wave to the people at home. All right, everybody. Thank you for watching us or listening to us. We do this every single Friday, breaking down the week's news. Sometimes we break some news. And we hope you join us. If this is your first time watching the show, you can subscribe to us here either on Spotify or whatever app you use to get podcasts. and on Wednesdays, we'll do, we'll do, I'll do one-on-one interviews with people in the tech industry and then Ranja and I will be back every Friday.

1:02:21So that'll do it. Thank you for listening and we'll see you next time on Big Technology Podcast.