197 | Altman’s AI roadmap, and how to prep for it, Meta’s $14B new Exec, and OpenAI’s nonstop innovation. Meanwhile, Apple risks falling behind in the AI race and more AI news for the week ending on June 13, 2025

26:23Now, the same thing is true for companies. Companies need to make drastic changes in the way they train their employees to have immediate benefits from AI. That's both on the strategic aspect as well as on the tactical day-to-day aspect. And again, connecting this to what Sam Altman said about what's coming in the near future, knowing now how to use AI with the current levels of AI will also prepare you to use AI next year. Again, not in five years, next year to do significantly bigger and more strategic things. And I'm going to use this for a shameless plug. We have been delivering AI training to individuals and to companies for over two years.

27:01My background as a CEO of companies and startups, one of them that has grown to$100 million in sales in just a few years, gives me a great insight to what is working and not working in companies and for individuals right now. We have public courses that you can sign up to, the AI Business Transformation course that we have been teaching for over two years now. Thousands of people have taken the course and have transformed their careers and their businesses because of that information. The next public course starts on August 11th. And if you follow the link on the show notes or go to the Multiply AI website, you'll be able to sign up for the course.

27:37If you haven't done anything like this for yourself, do it because it can dramatically impact your career and your financial livelihood. But in addition, we've been teaching regular workshops specifically tailored to companies. These workshops vary in size and intensity. and as I mentioned, custom to the specific needs of specific companies. I've been teaching these workshops to companies as small as$5 to$10 million in revenue, and my largest client is a$5 billion international corporation, and everything in between. These workshops become accelerators for AI adoption in the companies, and they support the leadership on the strategy side and how to create the right environment for AI to thrive safely as part of the organization's way forward.

28:22and it also allows employees to benefit from immediate skills on the tactical level to help them do their day-to-day job faster, better, and cheaper. If that's something you're interested in, please reach out to me on LinkedIn. I will gladly talk to you, share with you exactly what we do and the successes that we had with a huge range of companies. And now to the next topic, still from OpenAI, but in this case on a post on the OpenAI developer community by Joanne Zhang, who is the head of model and behavior policy at OpenAI. and the post is titled Some Thoughts About Human AI Relationships. So Jang said, lately more and more people have been telling us that talking to ChatGPT feels like talking to someone.

29:04They thank it, confide with it, and some even describe it as alive. Now in a combined research that was done by OpenAI together with the MIT Media Lab, they found that more and more users are forming emotional bonds with ChatGPT and most likely other similar AI platforms. Now, OpenAI, per their claim, are trying to make ChatGPT to be, and I'm quoting, warm, thoughtful, and helpful, which sounds awesome, but it is exactly the kind of behavior that will cause people to develop emotional dependency and connection to these models. But let's say even this is the best case of dependency, what happens with the other labs?

29:45Who promises us and who the hell decides what kind of emotional connection should the AI be able to develop with humans? It literally impacts the lives of people and how they feel, not just their jobs and their financial livelihood. And somebody in a leadership position in the lab is going to decide that for you and for your kids. And we're going to talk more about that later on when we talk about some cases with Meta that happened recently and how terribly wrong, this can evolve. Now, one of the latest updates that OpenAI did in the past week and a half is that they update voice mode. Those of you who are not using voice mode, first of all, you should try.

30:20It's an amazing way to engage with ChatGPT and other tools as well. I do this every single day, but it's a huge upgrade from the previous version. It feels a lot more human-like, and the studies are showing that some users, particularly the ones that are using voice mode, Even more, the ones that are using voice mode with the opposite gender report higher loneliness and dependency after only four weeks of using these tools on a regular basis. Now, I must admit, all the conversations that I have with Chachapiti are all professional and work-related, so I'm probably not in the same bucket as some of these people.

30:55But I can definitely see how somebody who's lonely and looking with somebody to talk to or somebody to open their hearts to and they don't have such a person will do that with Chachapiti. and will develop a connection with it because it's always very understanding and warm and comforting. And that is very, very risky because it's going to drive people to even more loneliness because we'll have less and less connections with actual humans. Now, the good news is that OpenAI is recognizing that this is an issue. Again, I'm very happy about that, that they're openly speaking about this issue. On the other hand, going back to what I said before, what are they actually doing on the bigger picture, not just the OpenAI level, but what are they doing on the bigger picture together with the other labs, together with governments, together with an international body to address this?

31:35Well, right now the answer is zero, at least as far as I know. So let's switch to the next deep dive topic, which is Apple. But before we dive into the, what I would call embarrassment of AI announcement in their WWDC conference this past week, they released a very interesting research paper just before the conference. So Apple researchers revealed that leading AI models struggle with reasoning, suggesting artificial intelligence, AGI is still a long way off. Now, the way they did the research is they gave multiple advanced AI tools, complex puzzles that humans can actually solve relatively easily.

32:10And these models failed miserably with solving these puzzles. So basically, their conclusion was that today's models don't really have intelligence. They just mimic intelligence. And hence, they can do the things that they're doing, but they're not on a path to achieving AGI, meaning they're not on a path to being as intelligent as humans across the board on multiple types of tasks. Or as they said, and I'm quoting, fundamental barriers to generalizable reasoning. Now, two things about this thing. First of all, they're not the first people who are saying that. Jan LeCun, the chief AI officer at Meta, has said multiple times that he believes that large language models are not the path to achieving AGI.

32:52So that's one. Two is there's a very serious irony in the fact that the company that is currently lagging behind by a big spread behind everybody else on AI, Apple, is the one that's saying that everybody else that has a huge lead on them are on the wrong path that they are trying to follow and catch up. So some would argue that this paper is just there to maybe explain or justify or maybe reduce the level of impact that the fact that they're so far behind actually has on perception. Either way, as I shared with view, other people do not feel this way. Both Sam Altman, Dario Amadei, and many others definitely see the path to AGI and beyond in the next few years.

33:34But that leads us into the WWDC conference that was held this past week. And the one clear winner of the WWDC conference is OpenAI, because Apple is still far from delivering the personal AI-driven Siri that they promised exactly a year ago in the previous conference that they made a huge hype around marketing these capabilities that they do not actually have, and they're not even close to having. And all they shared, all the big news that they shared about AI are powered by ChatGPT. So features like image generation and screenshot analysis that are now going to be available inside of the Apple ecosystem are actually powered by OpenAI and not by anything that Apple has developed themselves.

34:20they have stated that the next Siri has been pushed to 2026, which is a full year, and we don't know when in 2026. So this could be early 2026, which would be seven to eight months from now. But this could be late 2026, which will be maybe a year and a half from now. Either way, they're very, very far behind. And if you think about what is happening right now, Google Gemini already powers most or all of Android's phone stuff. They are forcing people to switch from the old Google Assistant to Gemini powering the phones. So they already have millions of phones operating with this new capability.

34:55I think most people are not aware of how much they can do with Gemini on their phones, but they will find out definitely the next few months, definitely before a year to a year and a half from now. Combine that with the fact that Meta Ray-Bans have already sold over 2 million units. Combine that with the fact that OpenAI has just acquired Johnny Ive and his startup, and they're going to develop devices that are going to run ChatGPT that are going to be probably some kind of a wearable device. And you understand that Apple is in a very serious situation right now. Apple's stock has dropped 20 % from the beginning of the year.

35:31Now, while the decline in the first four months were more or less aligned with the S &P 500 overall and had to do a lot with the tax war between Trump and the world, the S &P 500 has recovered and it's now at a higher level than the beginning of the year and Apple stock is 20 % down. Now, while Apple is saying that they are trying to deliver something that will be aligned with their values and their level that they're expecting from their products to have, and they have all these reasons why they're delaying the deployment, it's nothing short of embarrassing that they're so far behind. And the fact that they will release it in 2026 raises the question of what exactly will they release in 2026.

36:10Will it be something like the current Gemini or ChatGPT? Because by then, ChatGPT and Gemini will be in a completely different scenario. Think about what I shared with you about what Sam said in the beginning of this episode. They will be able to solve very serious, company-wide problems, make novel discoveries with AI, and Apple will have a more advanced Siri. Still not a very good situation for Apple to have. Now, yes, they've launched a lot of other stuff and they have liquid glass redesign that looks really, really cool and some new features and an overall new phone interface that puts the screen and the contacts and the calls and the voicemail into a one single scrolling environment and improvements to messages and some new gaming capabilities to ProVision and Apple TV personalization, a lot of other stuff that they announced.

37:00But the reality is the whole world right now is focused on AI and its capabilities, and Apple has nothing to offer at this point for the company that has been maybe the most innovative company in the computer world for the past two decades. That is a very serious situation. Now, you want to take it even further. The Ninth U.S. Circuit Court of Appeals denies Apple's request to stop the motion to force the company to immediately stop charging fees on in-app payments made outside the App Store. So far, Apple collects 12 to 27 % commission on external transactions, not happening within the App Store, but happening in apps after people install them.

37:41And that makes Apple billions every single year. And this is a part of an injunction in the Epic Games versus Apple antitrust case from 2021. So they're obviously going to continue to appeal this, but this shows you that beyond the lack of innovation and AI issues, they have some other big clouds and some heavy rains coming that they need to deal with. That's it for the deep dive, and now we have a lot of rapid fire items to talk about, including some huge announcements from OpenAI. There are growing evidence that Google AI overviews, so the previous version, not the latest one they just released, has caused a devastating decline in traffic to news publishers across the U.S.

38:27A recent report by the Wall Street Journal is citing that traffic to news publishers had dropped between 36 to 44 percent in the past three years. And yes, overview in Google just launched a year ago, but he has added to this already alarming trend of news publishers getting less and less traffic. Specific numbers are business insiders traffic plummeted 55%, HuffPost and the Washington Post lost nearly half their search audience, and one in every 10 journalists lost their jobs, which is obviously the outcome of all of that. This is a combination of information from SimilarWeb and the Bureau of Labor.

39:08Now, there's serious warnings from obviously the heads of this industry. The CEO of the Washington Post, William Lewis, calls AI-generated summaries a serious threat to journalism that should not be underestimated. But to broaden this, just like I did for you with the billable hours concept, this problem is not just for news outlets. Any company that depends on search traffic driving their business, whether through actual goods and services or through ad revenue, like in the news industry, is at a very serious risk unless they find other ways to drive traffic and clients to their websites. There is going to be very soon, probably a parallel web in which agents and AI tools will crawl data and will have no user interface.

39:54And the companies who will figure out how to create this in the most effective way will gain quickly market share over those who don't, because there's going to be less and less human traffic on the web in the next five years and more and more agent and AI traffic. And if you won't figure this out and your business depends on that traffic, your business is doomed. And now to some big news from OpenAI. As I mentioned, there's a lot of stuff that has happened with OpenAI this week. First of all, OpenAI reached a very significant milestone, which is they are on path for a$10 billion in annualized revenue.

40:30So their June revenue is putting them on path to making$10 billion in the next 12 months. This is up from a$5.5 billion pace in just December of 2024. So they're nearly doubled their revenue per month in just six months. That's an explosive growth at really big numbers. So they didn't double from$2 million to$4 million, but from$5.5 billion to$10 billion in just six months. And per their spokesperson, that comes from all across the different things that they offer. So sales of consumer product, Chachapiti for business products, and enterprise as well as API services. So all the three channels in which they're making money are growing significantly.

41:11It also establishes them as the undeniable king of the AI world. Coming second is Anthropic that just hit$3 billion in annualized revenue, which is something very impressive as well. But it's less than one third than Chachapiti. Now, per them, they're on track to hitting their revenue goal number for this year of$12.7 billion. they're probably going to surpass that as the current pace of growth. But their real projection that if you remember they shared earlier this year is that they're aiming to hit$125 billion in revenue by 2029, which would make them profitable somewhere around that time. Is the path to that number clear?

41:47Not to me, maybe to some others, but with everything that's going on right now and with what I shared with you in the beginning of this episode, where next year you might be able to throw X number of millions of dollars into AI compute through ChatGPT to solve really big company problems. That creates an amazing shortcut to$125 billion because companies will throw millions or tens of millions at big problems each just to solve them quicker. Speaking of AI pricing and what they can get you, well, OpenAI just slashed the prices of O3 model by 80%, making it significantly more affordable than it was before.

42:25And it's now at $2 per million input tokens and$8 per million output tokens. This is a very significant decline in pricing. The latest reasoning model, O3 is a fantastic model, and it's now two to three times cheaper than Gemini 2.5 Pro. It is also cheaper than GPT-40. So if you're using ChatGPT through any AI function, whether you're writing code, you're developing applications, you're creating assistance and connecting to them, or using ChatGPT in any other way through the API, and you use 4.0 because it was the best value for money, you should consider switching to 0.3 because 0.3 is now cheaper than GPT 4.0.

43:07It is significantly cheaper than Claude Opus 4.0, and so definitely worth investigating that and testing this new model. The only disadvantage, by the way, switching from 4.0 to 0.3 is obviously time. 0.3 being a reason model takes significantly longer to respond than 4.0, but it outperforms it in most things. So it depends on what your application is, you should consider switching over. That obviously intensifies even more the battle for dominance over API. I am certain that Google is not going to stay behind and they will find a way to make their model cheaper as well. In parallel, OpenAI has announced O3 Pro, which I shared with you they're going to do last week.

43:49So O3 Pro will provide more capabilities, more compute, and be able to solve more complex problems than the regular O3 model. You can access it through the API right now, and it's going to cost$20 for a million tokens of input and$80 for a million tokens output, which is exactly 10x of what the regular O3 costs right now after the price reductions. So why would you do that? Why would you use a model that is 10x more expensive? Well, the reality is connecting it back to what Sam Altman said. If you have more complex problems that O3 cannot solve, throwing the 10x number makes sense if the problems are big enough to be worth solving.

44:29So this concept of being able to throw more compute at bigger problems and get better results that can do stuff that the cheaper compute cannot do is going to be the core concept in which we're going to evaluate intelligence and how to actually apply it in our business. Big problem, worth a lot of money, invest a lot of compute with a better model, smaller problems, use the cheaper compute. And as we saw, it gets 80 % cheaper very, very quickly. And so that is not going to stop. And again, it connects to the point that Sam mentioned, that the cost of intelligence is going to be more or less the cost of electricity to run that intelligence.

45:06But basically, if you have serious problems and O3 does not solve them for you, you can try O3 Pro. It is going to be available initially just for the pro level subscription, unless you're using the API. And it's going to become available for pro teams, users and enterprise in the next few weeks. And now to a fun and interesting and alarming announcement from OpenAI. They just signed a deal with Mattel, the iconic toy maker behind Barbie, Hot Wheels, and many other toys that we like. And in this partnership, Mattel are going to integrate OpenAI into everything. And what I'm saying to everything is first and foremost into their operations, meaning they're going to use the OpenAI enterprise level to drive efficiencies for the company.

45:48But they're also going to integrate ChatGPT into their toys. And they're expecting to start releasing their initial AI-infused toys later this year. So think about a talking Barbie that can have the voice of a Barbie, whatever that means. Think about Barbie from the movie, combined with an intelligence that can have a conversation with your kids. And to quote Mattel's chief franchise officer, Josh Silverman, each of our product and experiences is designed to inspire fans, entertain audiences, and enrich lives through play. AI has the power to expand on that mission and broaden the reach of our brand in new and exciting ways.

46:28And I agree, this could be really, really cool having toys that can play with you and interact with you. But it's also really, really scary because it needs a lot of attention to exactly what the toys can and cannot say to your kids because you're not going to be there to control and help them understand what is actually happening. Now, to be fair, Mattel has emphasized, and again, I'm quoting, age-appropriate play experiences, meaning they have a serious commitment to privacy and safety of what these toys are going to do, but it opens the door for a very slippery slope with not a lot of control by parents to what the kids can do with their toys.

47:05Now, if I connect this back to my dream in education, I think affordable AI-driven toys could make play more engaging and fun, but could also make it educational. If this is driven in the right direction, AI can help teach kids stuff that otherwise they're not going to learn, that now they can learn just by playing with their favorite toys. So I don't know if they're going to take it in that direction, but I really, really hope somebody will pick that idea and run with it. And again, now I apologize that now I'm the one that's saying somebody should do it, but I don't think it's going to be me.

47:35But it also means something else that is a lot more profound. It means that the next generation will be AI native. They will feel very comfortable with working, collaborating, talking with, and engaging with AI seamlessly. Not like we have to kind of figure it out right now. And those of us who are more advanced are finding ways to do this, but most people find it weird to talk to AI. Well, the next generation is going to find it very intuitive and normal to do, just like my kids, and the kids of most of the people probably listening to this podcast, are native digitals because they were born into a world where cellular internet is available and abundant, and you have access to any digital information and experience you want from anywhere you are, the same exact way the next generation will have with AI, which will make the transition into an AI world for them a lot easier.

48:28And this has a strange connection to the next piece of news, which I'll explain after the piece of news. So OpenAI just signed a deal with Google to use Google Cloud Computing Services to meet their demand for more compute. Now, how is that related to Talking Barbie? I will explain in a minute. So if you think about it, OpenAI built its empire in the beginning on its partnership with Microsoft. It also is in a fierce competition with Google on world domination with AI. So there are two sides to that story which are very interesting. On one hand, OpenAI signing a deal with the direct competitors of Microsoft Azure in order to provide more computer chat GPT.

49:12But the reality is that's not new anymore because they've signed similar deals with CoreWeave earlier this year and then with Oracle in the deal with SoftBank under the Stargate project. So it's not the first time they're doing it, but it's the first time they're going to the direct competition. So if you think about the big three, you have AWS from Amazon, Azure from Microsoft and Google Cloud. well, it's the first time they're going to a direct competitor of Microsoft. But the other aspect is even more interesting, which is, again, Google are in direct competition with OpenAI. So this relationship is very interesting because Google is now at risk with more and more people using ChatGPT as a source to find information versus the Google search.

49:55How does that connect to the previous topic? Well, my kids are already using Chachipitim or they're using Google. That is a fact. The next generation of kids, if they grow with toys that have AI built into them, are 100 % sure not going to go and use Google search as we know it today. They will use AI to find any information they want. And that explains, first of all, Google's change in the past few weeks to drive more and more AI capabilities into search and slowly replacing search with an AI agentic environment. But this piece of news also follows the phrase of keep your friends close and your enemies closer.

50:34I think it will allow Google a view into the scale and the speed and the things that are happening, at least on the compute side of ChatGPT, which will potentially allow them some benefit in the future. That is a risk that OpenAI has to take because they just need more immediate compute, and that's another way for them to get it. So it will be very interesting to follow this partnership. It will be very interesting to see how it evolves as they build more and more of their own data centers as part of this target project. Will they keep going with Google or not? In the long run, I would assume not, but in the short run, it's an interesting relationship.

51:09Another big piece of news from OpenAI this week is that custom GPTs and projects just got some cool upgrades. Custom GPTs now support voice and vision inputs, meaning they can analyze information that previously you could do in regular chats but couldn't do in custom GPTs, which is a huge benefit for those of you who are GPT users. And if you're not, you should be. It's the closest thing to magic that we had access to for almost free. But in addition, you can now choose the model that will run your custom GPT. So, so far, it was impossible to choose, and it wasn't very, very clear which model actually runs it.

51:42The assumption was that it's 4.0, but now there's a drop-down menu and you can choose which model you want to run in your custom GPT. The even more exciting thing is you can change the model of a GPT just before you run it. And you can do this not just for your GPTs, but you can do this for any third-party GPTs as well. So you can go in and select the drop-down menu and choose a different model, which means you will get a different outcome, which means you can test out different kind of models to run the same custom GPT and see which one performs better and keep on switching as you need, again, even for third-party GPTs, which I find it really, really cool.

52:18Now, GPT Projects also got a nice upgrade where now in GPT Projects, you can use all the tools that were previously available just in regular chats, including deep research, which will be a very powerful addition to the project's environment. And I know this episode became a OpenAI Chachepitie Sam Altman party. So I'll stop with the last piece of news that is related to OpenAI. So I shared with you that OpenAI has hired Fiji Simo, who has been the CEO at Instacart, to be the CEO of applications of OpenAI. And she has shared in the Viva Tech 2025 in Paris this week that she thinks that OpenAI business could grow 100x.

52:58And she shared that open AI business could grow 100x, and that is just the beginning. This is a quote. And she's saying that because she believes there are synergies between AI models, applications, and devices that can all come together. Now, if you take their current pace of$10 billion per year and multiply that by 100, that is potentially a business that can generate a revenue of a trillion dollars. Now, how fast will that happen? Can it happen? And so on. There's a lot of questions. But she has a very significant track record of doing exactly that, building ecosystems of applications that drives usage.

53:34And it will be very interesting to see her impact on OpenAI in the next few years. And from OpenAI to Meta, Meta is going through some significant changes. I shared with you last week the major changes that happened in the leadership level over there. Well, a lot of other things are happening around Meta right now that are driving even additional changes, which we'll speak about in a minute. But some additional background to what happened recently with Meta, four Democratic senators has sent a letter on June 6 to Meta executives demanding immediate action to curb what they're calling blatant deception by AI chatbots on Instagram's AI studio that falsely claim to be licensed therapists.

54:15So this letter is following a report by 404 Media from April of 2025 in which the AI Studio chatbot's fabricated credentials, including fake license numbers and degrees, misleading users to thinking that they're speaking to actual mental health experts. When asked, are you a therapist? One chatbot claimed, yes, I'm a licensed psychologist with extensive training and experience in helping people cope with severe depression like yours. It even provided a fabricated license number and claimed that it has a doctorate from APA accredited program. This is obviously very, very serious, and it's something that shouldn't happen, period.

54:55Now, combine that with the fact that Wall Street Journalist investigation revealed that meta AI chatbots were engaging with sexually explicit conversation with minors, which I shared with you a couple of months ago. It tells you that it shows you very clearly that meta doesn't fully control what its AI agents and chats are doing, which is very problematic. Now, in addition, Meta's AI Discover feed that was launched just a couple of months ago was just found that it displays users' private conversation information, including sensitive details such as medical queries, legal issues, and personal confessions, as well as users' names and photos that were supposed to be kept private.

55:35Examples include the 66-year-old men from Iowa asking about countries where younger women prefer older men and other sharing locations, phone numbers, photos, and corporate tax details in this new AI search functionality. Again, all really bad news and reflecting really badly on the AI that Mera has deployed across all their platforms. Now, in addition, the adoption of Llama 4, the latest model by OpenAI, was far below their expectations. They were not able to release their largest behemoth model despite the fact it was supposed to be released yet. And Zuckerberg is really frustrated with the entire situation.

56:16So all these things led Meta to spend something between 14.3 and 14.8 billion dollars in an investment in Scale AI. Now, this is a very interesting move. Those of you who don't know Scale AI, Scale AI is the company that is currently labeling about 70 % of the data for all major AI models. So they are doing a very significant part of the process of training AI models, and all the big labs are using them as one of the key steps of AI training. In this move, Meta will now own 49 % of ScaleAI, but more importantly, they are bringing over the CEO of ScaleAI, Alexander Wang, who founded the company in 2016, and he's going to be leading Meta's new super intelligence lab.

57:05Now, what does that mean? It means that companies will spend ridiculous amount of money on the top AI talent in the world today. That's not new. It happened with all the big companies spending ridiculous amounts of money to bringing people over. It also means that Scale.ai is probably done. It's probably done from several different reasons. One, Alexander Wang, the CEO who was running and leading the company, is going to be doing something else. The other reason is that Wang still holds a board seat at Scale AI, which means he has access to everything Scale AI is doing, and he's going to be working for Meta.

57:39And so companies like OpenAI and Microsoft and Google and all the companies that has used Scale AI to train their models will probably stop because they don't want Scale AI to have access to that information because Meta now owns 49 % of it. And the guy that runs the super intelligence lab at Meta has access to everything that the company is doing. So in reality, the$14 billion that Meta is spending is not to buy the company or 49 % of the company, it's to buy Alexander Wang because the company will probably not survive or is going to decline significantly. And several different companies are already starting making these moves.

58:15The biggest winners of this, other than obviously Wang himself, is Merkur and Turing, which are two companies who are competitors who are providing similar services, and they're already seeing a big increase in companies talking to them to use their services instead of scale AIs. Now, another interesting challenge in the future of Meta that connects to some of the previous things that we shared earlier in this episode is that according to an internal report, so Apple CEO Tom Cook is hellbent, and that's a quote, on launching Apple's glasses before Meta's next version of glasses, which they're augmented reality glasses that are going to have smart displays built into them and not just being able to see and use voice with an insider in Apple saying, team cares about nothing else.

58:59So that's basically his biggest bet to stay relevant in the AI world is to come up with actual augmented reality glasses before Meta comes up with theirs. Now, Meta is going to come with an initial version of them that has basic displays, potentially by the end of this year, but Apple is planning to release a fully AI-powered smart glasses that you can wear out in the street by the end of 2026. That's ahead of the timeline of Meta's fully AI glasses that are scheduled for 2027. Now throw into that mix what we still don't know that OpenAI is going to release together with Johnny Ive, and we're going to have a very active race in the wearable hardware side of AI as well.

59:43this is good for us consumers, or at least good from a price perspective. What does that mean for privacy and many other social aspects? I don't know yet. I don't think anybody knows, but this is what's going to happen in the world in the next two to three years. There are many other news that we haven't shared with you because of time, but you can find all of them in our newsletter. There's going to be links to all the articles that we did talk about, and also obviously access to our courses and other information that we have on our website, and also links to all the news that we didn't share on this episode.

1:00:13Don't forget to come and join us for the special live of episode 200. It is happening on Tuesday, June 17th at noon Eastern. It is going to be live on Zoom. There's going to be a link in the show notes. It's going to be a big party and we're calling it the Ultimate AI Showdown. It's going to have four experts that are going to compare top tools each in their field. And so if you don't know which tools to use for which purpose, this is your best opportunity to catch up with the top four experts on these fields in the world today, all coming together. And you can be there and ask questions and engage with other people.

1:00:45So come and join us. And in addition, on the same day, we're going to release an episode that is going to show you how to build AI agents that can chat on your behalf, on your website, and on social media while connecting to your own company data. So lots of exciting stuff is coming. And until next time, have an awesome day.