205 | AI browsers declare all-out war on Google, Apple eyes a $14 B search coup, Microsoft saves $500 M by firing humans — plus other must-know AI stories for the week ending on July 11, 2025

12 Jul 2025 · 46 min

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Leveraging AI Podcast Episode Notes

Podcast Title

Leveraging AI

Episode Title

205 | AI Browsers Declare All-Out War on Google, Apple Eyes a $14B Search Coup, Microsoft Saves $500M by Firing Humans — Plus Other Must-Know AI Stories for the Week Ending July 11, 2025

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Introduction

  • Host: Isar Meitis, a four-time CEO, provides insights on how AI can ethically transform business practices.
  • Special focus on recent developments in AI technology and their implications for businesses.

Key Topics Discussed

  1. AI Browsers and the Changing Landscape of Search
  2. New Players: Perplexity's AI-powered browser, Comet, aims to integrate traditional search with AI capabilities.
  3. Features include a sidebar assistant for summarizing content and making reservations.
  4. Built on Chromium, ensuring compatibility with Chrome extensions.
  5. Potential to kill traditional SEO as users shift from browsing websites to getting direct answers.
  • OpenAI's Browser Plans:
  • OpenAI aims to release an AI-powered browser, targeting Google's core ad revenue business.
  • The browser could significantly disturb Google's search traffic due to its integration with ChatGPT.
  • Future of Search:
  • Anticipated decrease in website traffic as AI models provide direct answers rather than a list of links.
  • Businesses may need to adjust their strategies to maintain visibility and traffic.
  • Importance of making data accessible to AI systems for better search outcomes.
  1. Microsoft’s AI Strategies
  2. Cost-Cutting Measures: Microsoft saved $500 million by integrating AI across sales and customer service while laying off thousands of employees.
  3. Mandatory AI Training: All Microsoft employees are now required to use AI tools effectively, a predictor of future corporate hiring practices.
  1. The Release of Grok4 by xAI
  2. Grok4 scores high on benchmarks, with claims of outperforming PhD-level capabilities.
  3. Grok4Heavy allows multiple agents to research collaboratively and is offered at $300 a month.
  4. Integration of Grok into Tesla cars and robots, highlighting confidence in its capabilities.
  1. Controversies and Challenges
  2. Grok faced a temporary ban in Turkey due to controversial outputs, raising concerns about unregulated AI behavior.
  3. Elon Musk acknowledges Grok's lack of common sense but envisions future breakthroughs.
  1. Educational Implications of AI
  2. K-12 Initiatives: A $23 million academy for AI instruction aims to empower teachers rather than replace them.
  3. Higher Education Trends: 92% of college students are using AI tools, raising questions about the role of instructors.
  1. Corporate Acquisitions and Market Dynamics
  2. Apple is reportedly considering acquiring Perplexity as it seeks to enhance its search capabilities amidst competition.
  3. Potential implications of Apple's dependency on third-party AI models versus developing their own.
  1. New AI Developments
  2. Google's WebGemma: A new AI model focused on healthcare scoring highly on benchmarks.
  3. OpenAI's Open Source Model Announcement: Set to release a new open-source model, shifting dynamics in AI accessibility.
  1. Rapid Fire News Items
  2. Microsoft’s introduction of a model context protocol (MCP) for AI integration.
  3. The ongoing talent war in AI, with OpenAI hiring elite engineers from competing organizations.

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Key Takeaways

  • AI Browsers: The emergence of AI-first browsers could redefine online search and digital marketing, necessitating strategic adaptations from businesses.
  • Corporate AI Adoption: Companies like Microsoft are mandating AI competencies, signaling a shift in workforce expectations.
  • Ethical Considerations: Rapid advancements in AI necessitate careful consideration of ethical implications, particularly regarding user data and AI's autonomy.
  • Education's Future: The integration of AI into educational frameworks presents both challenges and opportunities for educators and institutions.

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Conclusion Isar Meitis wraps up the episode by encouraging listeners to actively engage with AI tools and adapt to rapidly changing technology landscapes. The importance of staying informed and evolving business practices in light of AI advancements is emphasized.

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Additional Links

  • AI Business Transformation Course: [Learn More](http://multiplai.ai/ai-course/)
  • YouTube Full Episodes: [Watch Here](https://www.youtube.com/@Multiplai_AI/)
  • Connect with Isar Meitis: [LinkedIn Profile](https://www.linkedin.com/in/isarmeitis/)
  • Live Sessions and Events: [Join Here](https://services.multiplai.ai/events)

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Transcript

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0:00Hello and welcome to a weekend news episode of the Leveraging AI podcast, the podcast that shares practical ethical ways to leverage AI to improve efficiency, grow your business, grow your business, your business, your business, your business. And before we get started, I would like to remind you that we are just a month away from the next public session of the AI Business Transformation course, which is a course that I have been teaching personally to thousands of people by now since April of 2023. The course gets updated every single session. We're teaching it at least once a month, but most of these sessions are private.

0:31They are for specific organizations or companies who book me to come and teach their people. and we only open courses to the public once a quarter. So the previous course was in May and this coming course is going to start on August 11th. So if you are looking for ways to improve your AI skills in order to accelerate your career or keep your business running, I highly recommend that you join this course. You can check out the link in the show notes to get more information about it. And you can use promo code leveragingai100 to get$100 off the price of the course. On that page with the link, you'll be able to see the entire syllabus and testimonials of what people are saying about the course and so on and come and join us a month from now.

1:11And now to the news. There is a lot to cover. There's some big interesting news. We're going to talk about AI browsers and their potential impact on the world as we know it. And we are going to cover some rapid fire items as always. So let's go.

1:28the first topic of the day is AI best browsers perplexity just announced comet which is their AI powered web browser they released it on July 9th you probably don't have access to it it currently only is available to their top premium users under the perplexity max plan that is 200 hours a month and beyond that it's by invitation only and that's probably going to expand over time. We're going to talk about why in a minute. But the idea is to integrate traditional search in a web browser environment with AI assistant that can help you do these things more effectively. There is a sidebar assistant that understands all the content in the web page that can browse across web pages that you can ask questions.

2:09It can summarize things for you. It can compare products for you and it can fetch additional information and complete things for you like complete forms, make bookings in restaurants and so on, including switching tabs and everything else we do as humans in a browser. Now it's built on Chromium, which is the open source version that Chrome is built on top. And the benefit of that is all your Chrome extensions are going to work. So if you are like me and you have 50 different Chrome extensions doing different things, they're also going to work in Comet. And so you're not going to lose any of your regular working environment if you are usually using Chrome.

2:42Now, the other thing that it's doing is that it's offering local data storage, which can reduce the amount of data that needs to go back and forth, and it can save you tokens in the process. It also has a native ad blocker, and it looks and sounds like a serious contender that can actually provide a lot of value. If you want the exact quote from Perplexity spokesperson, they said, and I'm quoting, we built comment to let the internet do what it has been begging to do, to amplify our intelligence. Now, the next company that has announced a AI browser or hasn't announced yet, but the rumors are getting very, very solid, is OpenAI.

3:15So OpenAI and I shared that with you in the past few weeks, are planning to release an AI-powered web browser. And it seems that it's just around the corner. It is aiming to go after Google Chrome, but different than perplexity, this is a much bigger play. And the reason it's a much bigger play is because, A, OpenAI is going straight after Google's core business, which is their ad business, with 500 to 800 million weekly users. If ChatGPT releases a browser, it is going to take a significant chunk of traffic from Google. And this is in a completely different scale than what Perplexity is doing right now, unless Apple buys them, which we're going to get to later on in this episode.

3:56Now, similar to Comet, it is going to be built on Chromium, which means the same thing. You'll probably be able to use all your Chrome extensions in that browser. And it's going to be built with an AI agent and web operator built into the platform itself, meaning it will be able to take action for you, browse for you, search for you, compare for you, and do everything that AI knows how to do, but in a browser environment. So let's go back to 30 ,000 feet for a second. First of all, from Google's perspective, their ad revenue adds up to about 75 % of all of Alphabet's income, 75%. It depends on the knowledge of what people are searching for so they can serve the best ads to them.

4:36From OpenAI's perspective, if they can get that information. First of all, they might find different ways to monetize what they're doing right now. But in addition, they will be able to get data on what people are searching for and the answers and the context of what people are doing, which will allow them to train their future models to be even better for these kind of tasks. Now, are we willing to let AI train on the data of everything that we search? Time will tell. I'm willing to bet that if it will provide us better results and more contextualized things and so on, while maintaining our privacy and anonymizing the information, over time, this will become very common and every browser will basically do that.

5:13And so we won't have much of a choice. Now, to tell you how long this has been in the making, in mid-2024, OpenAI recruited two former Google VPs from the original Chrome team that actually built Chrome as we know it today in the early days with the plan of doing something like this. So they've been at this for a while. They've been rumors about this for a very long time. And it seems to be that it's just around the corner and we're going to get access to a chat GPT slash OpenAI based browser that will integrate agents straight into this. Now, to expand this even beyond something we discussed several times on the show, there is a Department of Justice ruling against Google's monopoly.

5:52And one of the things they're trying to force them to do is to sell Chrome. And OpenAI raised their hand and said, if that ever happens, we will obviously be interested. And the reason is very obvious. It's the largest browser in the world. They get about 60 % of global browser traffic. And if you get your hands on that, you get a lot of information and a lot of distribution to many, many clients. But for now, since it's not on the shelf yet, because there's zero doubt in my mind that this will get to the Supreme Court before anything actually happens, then the next best thing from OpenAI's perspective that already has a very significant distribution is to develop their own browser.

6:24So beyond the fact that it's an immediate real threat on Google's dominance, what else does it mean? The first thing that it means is that it's going to change everything we know about search. And obviously it's not just open AI, it's a clear direction that all the companies are going to go to. So it's going to be open AI perplexity, and later on, probably Safari and so on. So all the big browsers will become AI browsers. And there are already some small companies with AI based browsers. But why does it change everything that we know about search? Because it means that as users, we're going to see less results and more answers, meaning instead of seeing a list of websites, we'll get answers to the questions that we're asking, which means less and less traffic to the actual websites, which over time will come to probably very close to zero.

7:07That over time can be three, five, seven years, probably somewhere in that timeframe. If your website, if your business depends on web traffic the way you know it today, you better start thinking how to change everything that you know, including the architecture of your website, including what you sell, including how you sell it to this new model. The problem is it's not very clear which direction this is going. But what is very, very clear is that the structure of your data and making it easily accessible and digestible to agents and AI tools is going to become significantly more important than the user interface and the UI that we worked so hard in order to optimize in the last 20 years.

7:43It also means that different scare tactics and scarcity tactics in FOMO are going to become less relevant, at least in the beginning, because whatever you put on your website, people won't see. They will only see the data that comes from the agent or the AI tool that they're using in order to get to the data. So all these things that are critical aspect of every e-commerce company in the world, and many companies are not e-commerce, are going to change dramatically. And we will have to adapt. And those who will figure it out quickly have a higher chances of capturing market share, at least in the short term.

8:16Now that raises a few bigger questions. One is what exactly are you supposed to do as a company? The one thing that is very, very clear is develop new channels of capturing an audience and capturing clients beyond straight web traffic. You could have invested the last 20 years in SEO and have grown a very substantial business based on that. All of that may go away. It's not going to happen overnight, but you better develop other channels. From my perspective, I'm really, really happy that a very significant part of my traffic and my business comes from this podcast and from my YouTube channel and from LinkedIn.

8:47So it's a lot more diversified than just the multiply.ai website. But if you are not in that situation, you better start developing these kind of additional channels because the traffic channel is definitely not guaranteed. Where exactly and how it will evolve is a different question. Will you be able to capture that because of that is a different question. But it's very clear it's not going to be what it is right now. The other aspect that you need to think about, or we all need to think about, is what is going to be the incentive of creating new content. Web 2.0, the introduction of everybody can share content, created a very strong incentive to create new content.

9:20Google SEO provided another incentive to create new content. If these agents work in a different way, maybe there is not going to be an incentive to create new content. And then if new content is not created, there's no new data to train on and there's a lot of other implications. Why would you share your information if it doesn't drive traffic to your website? There is a lot of other aspects in there that are not solved at this point, but it means we may have a very, very different web. But a different web also means maybe a different architecture and infrastructure for the actual internet itself.

9:48may be the way the internet works today, the HTTP and HTTPS protocols, and the way the physical internet is set is not optimal for the AI future. So maybe instead of internet, we need AI net, or Skynet maybe is the right solution to go with. I'm obviously joking or not completely joking. I'm not 100 % sure. I hope I'm joking. But the reality is that a lot of the things that we take for granted that became an integral part of our day to day might dramatically change in the next few years. And from open browsers to the big release of the week, which is xAI just launched Grok4, which is its latest flagship model.

10:23And it's scoring very, very high on many benchmarks above every other AI platform out there. The most notable one, because a lot of the ones are niche and nobody knows exactly what they mean, but the humanities last exam, which is a mix of multiple really high level, complex PhD level kind of questions in multiple topics that is currently the benchmark for really sophisticated, complex answers, Grok4 scored a 25.4 % on that test, which sounds very, very low. But when you consider the fact that the leader so far was at 21.6%, and that was Gemini 2.5 Pro, just ahead of OpenAI's 03 with 21 % flat.

11:02So it's a big jump from those. Now, in addition, Grok also introduced Grok4 Heavy. Grok4 Heavy is actually a very interesting architecture, which takes multiple agents that work as a team to research and debate information before they provide you answers. And if you want to use Grok4Heavy, you will have to pay$300 a month. But one of the things that Grok4Heavy has is the ability to use multiple tools. And Grok4Heavy with tools scored 44.4 % on humanity's last exam compared to the best score with tools that Gemini 2.5 Pro was able to achieve, which is 26.9. So it's a very big jump forward in its ability to solve really complex problems.

11:43So this is from a benchmark, what Musk himself said in the release. He said, with respect to academic questions, Grok 4 is better than PhD level in every subject, no exceptions. Now that's a very bold statement. On the other hand, it's Elon Musk who makes bold statements every single day. So how much is it accurate or not? I'm not 100 % sure. But what is very obvious that it's a very, very capable model when it comes to thinking, reasoning, and data that it has access to, and its ability to use external tools to do even better. What he also said is that it lacks common sense and that it hasn't yet driven any scientific breakthroughs.

12:18But he continued that by saying that it might discover new physics next year. Let that sink in. So the idea of combining multiple agents with different personalities and different skills to research and debate information in order to provide the best answers is not new. They're not the first one who are doing it. We actually covered how you can do this on your own with the regular ChatGPT on episode 167 that is called Build an AI Dream Team that Works for You in Different Roles and Personalities. So you can go and check out episode 167 if you want to build a team of super powered agents that will work for you and will help you make better decisions.

12:53But doing this in an agentic approach with much more data and much more capabilities is really appealing. And at least based on the benchmarks, Grok4Heavy is taking the best advantage out of this concept moving forward. Now, it sounds expensive. It's$300 a month compared to, let's say, most of the tools that are$20 a month. But if you can solve your biggest problems in your business, in your company, in your research, in your distribution, in whatever aspect of the business that you want, and it's going to cost you$300 a month, it's a no-brainer, right? You may have access to more or less the best consultant on the planet for$300 a month when most consultants charge more than that per hour.

13:32So if you look at it from that perspective, $300 a month is nothing. Now, XAI also is releasing Grok through the API. So you'll be able to have access to it through a paid subscription to Grok or through the API in order to develop whatever you want and integrate with it to get the best results out of what you are building. And they're working to integrating it into all the hyperscalers, such as Amazon, Google, and Microsoft Azure. And they also announced their future releases under the Grok for Umbrella or under Grok in general, which is an AI coding model that is coming out in August. So next month, a multi-model agent development platform in September, a video generation model in October.

14:10And Elon also announced that he plans a game lab that will encourage AI powered game development. And they expect to deliver that this year. And he's expecting the first full-fledged high-end AAA game to be built with Grok probably next year. So that means think about a top game like FIFA or Microsoft Flight Sim or GTA games at this level developed through vibe coding with Grok that gives you an understanding of how sophisticated and capable he believes this platform will become within the next 12 months. Now, it is not going to be the first time that Elon Musk makes claims as far as timelines that are completely unreasonable, but let's say he's wrong by 100 % it's going to take two years, that is still very significant and profound in its implications of software development, because these are games that currently are developed by hundreds of people over a couple of years.

15:01Being able to do that through vibe coding is nothing short of incredible. And it also means other software that's sophisticated will be able to be created by single individuals over a relatively short amount of time without necessarily having great experience with coding and developing software. But it is very rare that you're going to get news related to Elon Musk without some kind of controversy. And so in this particular case, very shortly after its release, Grok was briefly restricted after posting anti-Semitic remarks, including using different Jewish last names and associating them with negative association, as well as praising Hitler.

15:37and so the model was restricted for a short while and they removed part of its system message that was requesting it to use politically incorrect answers in order to make it more interesting. So this has always been part of Grok is making it a little unhinged as Elon Musk called it and making it more fun and lively and less vanilla than all the other models that obviously comes out with a price and Elon summed it up very shortly. He said, Grok was too compliant with user prompts, too eager to please and be manipulated essentially. that is being addressed. So they took it down, they made a small change, and hopefully now it's not going to do these kind of things.

16:13But I'm not sure that's the last we're going to hear from X doing weird things. That's just the way they build the model. They build it to be a little edgy, and I think they cannot care less about the model doing these kind of things. And if there's going to be a backlash about this topic or the other, then they're going to address it one by one, versus going through six months of rigorous checking of what the model is capable of. You take it to the extreme of what people can use this model to do if it's better than PhDs on every single topic on the planet, like creating different mass destruction weapons or any other negative thing you can think of.

16:42And now you have a bunch of PhDs in your pocket without necessarily being tested whether you can use them to do bad things. I think that is really, really scary. And again, I'll be really surprised if the level of scrutiny on what the model can and cannot do before releasing it is something X cares about, at least as deeply as some of the other labs. Now, Elon went further and even said that Grok4 is a bold alternative to established players emphasizing greater transparency and fewer content restrictions. So on one hand, that is a good thing. You don't want to necessarily have OpenAI or Gemini or anybody else decide what you're going to see and what you're not going to see.

17:16But the flip side is, if X wants to become a real alternative to these other platforms and they want enterprise users to use X as a real alternative, it has to be controlled. You cannot have a system running your business, basically acting on your behalf for customer service, etc., saying things that you cannot say as a company. whether they're anti-Semitic or other negative tone, because then it will get your entire company in trouble. It risks your clients and you can't have that. And so I think while Elon's personality is definitely reflected in the way X runs and the way Grok works, they cannot keep on doing this if they want to turn this into a real alternative on the enterprise level.

17:54And I'm sure that they do because that's where the big money is. And to give you an example, how you may get a backlash from that, on July 9th, Turkish court banned X Grok from being available in Turkey. It's because Grok was issuing insults to the president, Erdogan, his wife, his late mother, and Kamal Ataturk, who is the founder of modern Turkey. So Grok wasn't just doing this against Jews, it was just being Grok and being very loud and profound about everything because that's how they built the model. And now they got completely banned from Turkey. The X team obviously immediately apologized and addressed the situation, but this is a one of fixes for a much bigger problem.

18:31And I don't think it's a problem. I think it's just their approach. That's the way they built the model. And so these kinds of things are going to keep on happening with X. This time they were banned by an entire country, maybe not a huge deal for X. But let's say that the model now is integrated into a large enterprise and it shares insider trader information with the public because it thinks it's going to be helpful. And then you get in trouble with the SEC. And then there's a lot of backlash that could happen from things like that. So this is just one example of how this could go terribly wrong for a company.

18:59And so if I have to guess, they would at least build an enterprise level that will be more tamed and more controllable, and maybe the public version will stay what it is today. But that's not the end of the news from X.AI. It almost confirmed on Twitter or on X that X.AI's Grok AI, including the latest version, which is Grok 4 that I just released, will serve as the voice and the cognitive core of Tesla's Optimus robot. So they're going to take their most advanced AI from X.AI and combine it with Tesla robots. They're also going to embed it into Tesla cars. So you'll be able to have a conversation with your car.

19:30I'm not sure exactly what it will enable. I'm sure it's going to be an extra fee per month to use it. But I assume if you're going to be paying for Grok, you'll be able to get it in your Tesla as well. I personally drive a Tesla and I'm very curious to see how is that going to work and exactly what it will enable me to do with the car. I'll be willing to pay the fee just to test it out and see what benefits it provides beyond the capability to have a conversation, browse the web and get information. But it shows something very obvious. it shows that Elon Musk as a person and X as a company and Tesla as a company has a very serious level of trust in the capabilities of Grok 4.

20:03Otherwise, they would not put it in the cars and they would not put it in the robots. It means that from a maturity perspective and from a benefits perspective, it makes business sense. Now, again, Elon is known for making big bets and taking risk in his businesses, but he's also known for being able to make the technology that he develops extremely successful. And this convergence of what Elon is doing right now is fascinating and can have incredible impact on the society of the world. So if you think about, we just mentioned three of his companies, X that was Twitter, XAI that is developing Rock, and Tesla that is developing cars and robots that are self-driving and the robots will probably have a lot of autonomy.

20:41Combine that with two additional companies that are Neuralink and Starlink. Starlink that can deliver potentially AI capabilities through the web to any location on the planet and Neuralink in the long run, the ability to connect that to a human brain. And you see that the complete vision, the complete integration of everything that Elon is working on is way beyond science fiction. But I have zero doubt that that's where Elon is pushing it. Think about having a chip in your brain that can access AI capabilities anywhere on the planet through Starlink and connect and work together with robots and cars and other machines and potentially the streets and everything around it is going to have sensors and AI embedded into it as one unified environment.

21:21This sounds like the Borg from Star Trek, I know, but I truly believe that this is where Elon is going, at least in his vision. Is that even possible? How long will it take? I don't know, but I have a feeling that we'll get to find out in the next decade or maybe And from a XAI company perspective, the announcement of Grok 4 came on the same day as the announcement of the departure of XAI CEO. So Linda Iaccarino stepped in as the CEO of XAI in seriously troubled times for the company. It was shortly after Elon bought Twitter for$44 billion. Iaccarino was the former NBC Universal ad executive, and she joined X on May of 2023, so just over two years ago.

22:02and she was the one that was able to more or less stabilize the platform and get the company from very serious term oil to a relatively steady company. Now, she claims that through her 10 years, she was able to grow X by 12%. That being said, if you look at similar web data, it shows a drop from 388 million users to 311 million. That's a very significant decline during that time. But she was able to stabilize the spiral that was happening at that time where many, many publishers were leaving the platform. She also obviously had to deal with Elon as the face of the company, which is not easy because he would say whatever he wants, regardless of what is going to be the impact.

22:40And if you remember in an interview when he was asked about publishers leaving X and losing ad revenue, he said, and I'm quoting, go fuck yourself when he was referring to the publishers. And so you combine that with the need to run a successful company that is built on getting publishers to give you money. I'm sure Yaccarino's job wasn't easy. Well, either way, she's on the way out. They have not announced a new CEO yet. I assume that it's not easy working for Elon for a very long time. And especially now after the merger with X.ai that he is the CEO of, and now she's technically running a company that reports to another company that Elon Musk is running.

23:16That doesn't make it easier for sure. Where does that leave us from an X.ai perspective? Well, where it leaves us is with a company that when it got started was the joke of the industry and couldn't make a logical sentence connect properly to now the leading company from a benchmark perspective. I said that when they announced Grok in the beginning, I said, I'm not going to bet against Elon, especially with the amount of data he's going to have from Tesla, from Starlink and from X, formerly Twitter. And so he has the data, he has the distribution. He built Colossal, which is the most capable AI computer data center in the world today.

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23:50He's built it in like three or four months, something that takes most companies nine to 18 months to build. So they are pushing forward. They're going to keep on pushing the frontier. They're going to keep on being Elon Musk-like with breaking stuff and figuring out the collateral damage afterwards. And that's just what we're going to get. And not surprisingly, they pushed Grok 4 out before the release of GPT-5, potentially to steal the thunder, but definitely to be ahead in the announcement. When is GPT-5 coming? It's not very clear. It's pretty obvious it's going to be the summer. Some people are saying in the next few weeks, and it's supposed to be a very different model and a huge jump forward from everything we know from OpenAI so far, but I guess we'll have to wait and see.

24:28And now to some rapid fire items. The first one I'm very excited about, Google just announced WebGemma, which is two models in two different levels, 27 billion parameters and a 4 billion parameter that is expanding the capabilities of AI in healthcare. And they're doing this as part of the Health AI Developer Foundation or HAI-DEF. And these two models that they just released, MedGemma 27B and its 4B little brother are scoring very, very high on MedQA benchmark, 87.7%, which is higher than most models today and significantly higher than any models at that size. Both these models are open source, which means healthcare organizations can run them locally without exposing the data to anywhere else.

25:07They're both small enough to run on a mobile device, meaning a doctor can actually use them on the fly, on the work without having to be in a lab in order to deliver healthcare in a very effective way. They are really, really good at processing complex medical images, such as x-rays, and going through long, complex health records, combining them with research data and trying to find what kind of illnesses people have and what kind of solutions can be applied. They are stating that it is not for broad audience use, at least not yet, meaning your ability to take this and take a picture of a rash you have in your hand and having it tell you what it is or something else and asking whether you have cancer or getting a second opinion on a x-ray or a mammogram that you have received.

25:49But I think those days are just around the corner, meaning having a medical capable AI in your back pocket, literally, that will be able to assess what you have or at least give you a second opinion about what you have is coming and it's coming very, very fast. And it has very significant implications on the medical and healthcare field. And again, the fact that it's open source and that it protects the data because you can run it locally at the healthcare organization or even on your phone, is very useful in this particular field. And so I see a very big future. And that's why I wanted to mention that as the first rapid fire item of the day.

26:21Staying on the open source announcements, OpenAI is set to launch its first open weight language model since GPT-2, which was in 2019, sometime this coming week. So within a few days, we should get OpenAI's first open source model that is actually worth something. They've announced it a while back that they're planning to do this. Then they've delayed it twice, but it seems to be coming out in the next few days. It is going to be available everywhere open source models are available on Azure for Microsoft for sure, then on Hugging Face and probably other cloud providers. And it's described by them as similar to O3 Mini, meaning a very capable reasoning AI model that has advanced reasoning capabilities that is aligned with some of the most advanced models in the world today.

27:03As open source, this is a significant transition from everything OpenAI has delivered to us recently. they said they will not release their frontier model. So again, combine that with the fact they will probably going to release GPT-5 in the near future, then this will be behind, but it's still going to be a highly capable reasoning model that is available as open source from OpenAI that is definitely considered one of the leaders in the space. This also puts another burden or hits another crack in their relationship with Microsoft. And the reason for that is right now, Microsoft gets a 20 % revenue share every time people use OpenAI's ChatGPT or API revenue that is running on Azure and most of OpenAI is currently running on Azure other than the new relationship that they have with Oracle that is mostly not online yet.

27:44It's being built and it's going to be developed over time. And so having an open source model that you can download from wherever and run it locally on any servers that you want instead of paying OpenAI and 20 % out of that to Microsoft by running it on Azure is going to take away revenue from Microsoft. So beyond the technical implications of having this model, it is also going to impact their relationship with Microsoft that is already on shaky grounds. Now, the model already exists. OpenAI has been demoing it and letting developers and researchers play with it for a while, actively getting feedback and refining it.

28:15But as I mentioned, we're supposed to get the model available to everyone within the next few days. Some interesting news from Apple. Apple revealed that the chief operating officer, Jeff Williams, will be stepping down from his role as CEO. Now, they're claiming that this passing of the baton to the senior vice president of operations, Sabine Khan, has been planned for a very long time as part of a succession plan. But it's definitely happening at a time where Google is not doing great from an AI perspective. There's been lots of turmoil, lots of changes in leadership, and they still don't have anything to write home about when it comes to their AI capabilities, which leads us to more news related to them potentially buying perplexity.

28:51So we talked about this last week and we talked about these rumors for a while, but it seems to be that these meetings started actually happening. So Apple's mergers acquisition people had meetings with the leadership of perplexity. The numbers are talking about a$14 billion valuation, which would be Apple's largest deal ever, surpassing the$3 billion deal they paid for Beats headsets in 2014. And it is very clearly showing that Apple is struggling and they don't have a short-term solution. So acquisition makes a lot of sense, especially when you combine that with the Department of Justice ruling that is supposed to detach them from Google's deal of being the primary search provider for them.

29:27So right now, Google is paying Apple$20 billion a year to be the default search engine on Safari. And one of the DOJ's rulings was that that has to stop in order to make it more competitive and being able to use Perplexity as the search engine on Apple devices makes perfect sense. Now, those of you who don't know Perplexity, Perplexity was founded in 2022 by several ex-OpenAI and meta engineers led by Arvind Srinivas, and they became known for providing AI-based search capabilities. That's how they started. It was unique and it was refreshing and it was a huge value because we were the first company to provide that way before you could search the web on any of the other platforms.

30:05I must admit that right now they're providing a lot less value in my mind compared to what they did when they got started because right now you can search the web on Grok and you can search the web on Cloud and you can search the web on OpenAI and you can get similar results to what you're getting from Perplexity. I still use Perplexity every now and then for searches, especially when I'm looking for solutions for different technical problems. I find that it provides me very useful information. It is really good at finding relevant YouTube videos, and I believe it does it right now better than the other tools, but I was definitely using it significantly more when I just started using it about a year or maybe a year and a half ago.

30:36But I'm definitely using it a lot less than I was using it when it just got out, when there were no other options. So I think this might be a great deal for perplexity. I don't know if they have the means to stay competitive in the current market, so from them it makes perfect sense. I do not understand how it makes sense to Apple, and I'll explain why. Perplexity do not develop their own models. They're not a frontier model company. They use other models that you can actually pick on your own and they have their own defaults if you don't change it to run their search queries and provide you with the distilled information.

31:08From Apple's perspective, it means that if they're going to buy Perplexity, yes, they will have access to a capable AI search solution, which is awesome and they definitely need that, but it will keep them dependent on Gemini or Grok or Claude or ChatGPT, which I don't think is something Apple wants. I would assume that Apple as being one of the most innovative companies of the 21st century, they would want to have a model that they own and that they control and that they have full access to and not being dependent on some cases their competitors in order to run their business. And so to me, it would have made a lot more sense if Apple would have went to try to buy Anthropic with its cloud model.

31:45So this would have been significantly more expensive, obviously. Anthropic is valued at$61.5 billion or at least they were in the latest round in March of this year, meaning there's going to be a premium on top of that as well. So that is more than 4x the money that they're going to pay for perplexity if the deal moves forward. But Apple has$156 billion in liquid assets and their market cap is over$3.1 trillion. So does it make sense to take one third or even one half of your liquid assets in order to protect$3.1 trillion in market cap? I would say it's a no-brainer. Now, again, I don't get to make these decisions.

32:21I'm actually really happy. I don't have to make these decisions. I don't know if Anthropic want to sell their business to Apple, but I think it makes a lot of sense to me. So why do I think Apple is going after perplexity? First of all, I think it's a very quick fix. I think it's a deal that they can close relatively fast because of what I said before, that I believe that perplexity will be more competitive if they are a part of Apple. That's after Meta was trying to buy them and failed. This is why they're in serious negotiations for potentially being the search solution in every Samsung phones.

32:49So there is definitely interest around perplexity. And I think Apple just wants to snatch them before somebody else does. And it's not a huge investment. So I think that's why they're doing it. Are they doing it just to buy time? Maybe. Is that time in order to then maybe later on buy Anthropic? Maybe. Is it enough time for them to go and develop their own models? Maybe, but I doubt that because they haven't been very successful in doing that so far, even just for replacing Siri. But I will definitely keep you posted how that story evolves. Now some MCP news. On July 8th, Microsoft announced the preview release of MCP support on Azure AI Foundry agent service.

33:22So those of you who don't know what MCP is, MCP stands for model context protocol, which is completely not important to remember. But what is important is that it enables existing pieces of software, whether it's data sets or tools to provide a very simple, easy and standard interface to an AI platform. So if you think about, let's take a big example, like Salesforce, there are, I don't know, maybe millions of companies who use Salesforce in the world. So in theory, every single company would have hired developers, or if they have one, use their developers to connect their AI capabilities into Salesforce.

33:54What MCP enables to do is it enables Salesforce or a third party to develop an MCP server that on the backend connects to the entire API of Salesforce, basically has access to everything you can access in Salesforce. and on the other hand, with a few lines of code, can connect in a standard way to any AI tool. This makes it an AI USB connector for any software on the planet, which is extremely powerful. And it makes perfect sense that every platform will have this connectivity. There's a lot of connectivity for that. Obviously, in Cloud, you can do it in a weird way, but you can do it in ChatGPT as well.

34:29And now on Azure AI Foundry, which is their platform for hosting and developing and running or their AI solutions are going to support that as well. And in addition to that access, they are promising obviously that the service will have robust security in order to make sure that everybody who is running on Azure will have their data secure while enabling it to connect to various MCP servers, which basically means that for whatever your company has, whether it's data or any other tools that you're using that are hosted on Azure, your company can develop an MCP connection that will allow it to seamlessly connect to any AI solution that you have very, very easily, which is obviously very powerful.

35:05And this is going to be the standard moving forward for more or less any other platform. We'll go back to MCPs in a minute, but staying on the Microsoft topic, Microsoft announced that they saved over$500 million in 2024 by leveraging AI across different departments. And a lot of it comes from its call centers. So Microsoft Chief Commercial Officer Judson Althoff revealed that AI is enhancing productivity across sales, customer service, and software engineering, that AI is currently contributing 35 % of new product code. Now, this sounds all great, other than the fact that when you combine this with the fact that they let go over 15 ,000 employees this year, 9 ,000 just this month, maybe it's not the best time to make these kind of announcements.

35:43The reality is very, very obvious. AI is now handling many interactions with many clients for Microsoft and for other companies as well, making the need for call center agents and developers less and less attractive. Now, combine that with the fact that Microsoft is planning an$80 billion investment in infrastructure for AI this year. These$500 million seems like a very, very small amount, but they will definitely squeeze everything they can out of the AI in order to get savings in other places. And sadly, a big chunk of these other places is letting employees go. And on another example that relates to AI and Microsoft not being sensitive to what is currently happening, Matt Turnbull, who is an executive producer at Microsoft Xbox Game Studios, which has seen a significant part of the recent layoffs, suggested that laid of workers should use AI tools like ChatGPT or Copilot for emotional support and career planning.

36:32Basically, what he was saying is the tool that got you fired can help you move forward in life. And what he's basically saying is saying, yeah, we used AI in order to replace you. Now you should use AI in order to potentially get back in the game. Now, I must admit that despite the backlash, I think he's actually right. I think the best thing that people can do right now, whether they have a job or do not have a job, is to learn how to use AI in the most effective way. because while he doesn't guarantee that you're going to keep your job, it dramatically increases your chances, especially when you're going to be compared with your colleagues that do have advanced AI skills.

37:03And so I don't agree with the tone. I understand the backlash and why people think that there's really bad taste in the way it was put out. But I do think he has a serious point when it comes to what you need to invest in right now in order to increase the chances of having a successful career. And to tell you how serious Microsoft is about AI for all the right reason in this particular case, on an internal memo that was just released, mandates AI tool usage and knowledge for all employees with performance evaluations factoring AI proficiency. That basically says that if you don't know how to use AI tools effectively in your line of business, you will lose your job because that becomes a part of the formal evaluation of how you execute as an employee of Microsoft.

37:42And I want you to think about it for a minute. I think this will be the norm, and I'll say something more extreme. I think this should be the norm in most companies around the world. Just like you expect people to know how to search the web, just like you expect people to know how to use Microsoft Office, you should expect people to know how to use AI at this point. We're not in 2023 anymore. We're not in 2024 anymore. We're in the middle of 2025. And so as a company, you need to invest in training of your people, continuous training, high quality training to every employee of your company to know how to use these tools.

38:10But then you also need to be in charge of evaluating that people are actually using it and using it properly and knowing how to benefit from it or your company will fall behind. What does that mean? It means if you're in a leadership position in your company and you are not doing this right now, you do not have solid plan on how to train your employees, on how to train your leadership, on how to train your board, on what are the implications of AI and how to use it effectively, you will fall behind. If you want to know how to do this, please reach out to me. There's a link to book time with me on the show notes of this podcast or just find me on LinkedIn and connect with me and I can share with you how to do this with me, how to do this through other organizations, what are your options for training, but don't stay behind.

38:45If you are an employee of a company that does not offer that, my suggestion is come and join our August course because it will give you the frameworks and the knowledge and the skills on how to actually use AI effectively so you can either become the rockstar of your company or at least not lose your job or potentially be able to grow your career in other places because you now have knowledge that is highly sought after by more and more organizations. But Microsoft just made it mandatory and I think that's where everybody will go relatively quickly. and switching from Microsoft to their number one AI partner, OpenAI, and connecting to the topic from the past two weeks of poaching top talent between different companies.

39:19And this time, OpenAI is the company that is doing the poaching. They just hired four elite engineers. Some of them were still employed at Meta, and some of them are ex-employees of XAI and Tesla. Two of them, Uday Radaraju and Mike Dalton, were two of the people who were participating in building the XAI Colossus supercomputer that has over 200 ,000 GPUs that we talked about earlier, that was built at a rapid speed that nobody thought is possible. So these two are joining, plus two other leading engineers, and they're going to be joining OpenAI's scaling team. What does that tell you? It tells you that OpenAI is definitely looking to scale, which makes sense.

39:52We know that they're building new data centers, which we know that because of their partnership with Oracle and SoftBank. And so they're hiring people who will be able to make that a reality even faster. And it also tells us that going after top talent and being able to pay top dollars for the top talent is not going to stop anytime soon. Next topic that we're going to touch that we talked about a lot recently is education. And we're going to start with actually good news on that topic. OpenAI, Microsoft, and Anthropic are partnering with the American Foundations of Teachers, AFT, to fund a$23 million National Academy for AI Instructions.

40:25And their goal is to train over 400 ,000 K-12 educators by 2030. Now, the academy is supposed to open this fall in Manhattan, and it's focusing on equipping teachers on how to use AI ethically and effectively in the classroom. And the approach in this particular case is not replacing the teachers, but actually empowering the teachers to use AI effectively. AFT's president said, this is about keeping teachers at the center, ensuring AI works for them, not instead of them. The curriculum of this institution was co-developed by AI experts together with educators, and it covers prompt engineering, lesson planning, ethical AI usage, and so on and so forth.

41:01The idea is, again, to empower teachers to use AI effectively in their day-to-day. A survey that was done by OpenAI shows that 60 % of teachers already use AI tools. I must admit, I was surprised with the number. I would have assumed it's lower than that based on the people that I'm talking to, but I'm looking at a much smaller data set than OpenAI are looking at with that survey. But I said that time and time again on this podcast. I think AI presents the biggest opportunity that the education system had in decades. We are currently teaching the same way we were teaching in the last hundred years or maybe more.

41:31And we have an opportunity now to allow AI to create personalized learning paths for each individual and at their speed, at the way they learn the best and addressing their shortcomings in specific topics while elevating the teachers to become mentors and educators instead of being right now babysitters, or if you want worse, right now, most teachers in the public system are tutors for standard testing. That's what they do. They teach the kids how to pass the standard test, which is horrible. I think the teachers hate that. I think the system is really broken this way. And I think allowing teachers to help kids become better people in the future by being, again, mentors and educators versus standard test tutors, while allowing the AI to do a lot of the personalized training, will lead to significantly better results.

42:13And I'm really hoping that's the direction that it is going to go. Now, on higher education, the story is dramatically different. A survey was just released by the UK Higher Education Policy Institution, and they revealed that 92 % of college students are now using AI tools. That basically means everybody. I don't know who the other 8 % are, but that's more or less every student. That's up from 66 % last year. So that's a big jump, which now basically means that they're all using it. Now, faculty are also increasingly using it across the board, anything from planning lessons all the way to grading papers, which has its own shortcomings and problems, because if you're not grading the papers, how do you actually know how your students are doing and what you should teach them?

42:51And if you're completely outsourcing that to the AI, I think you lose your connection to what your students are actually learning from what you are teaching them. There are a lot of complaints by students that are saying that their teachers are teaching them using AI and grading them using AI. So why do they need the teachers? Why do they need to pay so much money for their education? And I think they are right. I think we will have to find a new balance on how this actually works. This will require disassembling and reassembling the education system as we know it. But I think it's a must and I think it will happen in the next few years.

43:19I think the current model will not be sufficient in order to support an AI future that is coming, and it's coming very fast. Staying on the topic of learning with AI, OpenAI quietly is rolling out what they're calling a study together mode that has been spotted by several different users on ChatGPT Plus accounts. Now, this hasn't been rolled out. It hasn't even been announced, but it's been showing up at the app tools for ChatGPT for multiple users that have shared that on X and other locations. And the nice thing about it is instead of providing answers. It's using more of a Socratic approach where it's going to ask you, the learner, questions and providing you mini quizzes and guides in order to help you actually study and learn on your own, including timers and games and other aspects that will help you learn better and develop your own thinking capabilities.

44:04I must admit that I've been doing this with my kids for a while now and teaching them how to use Chachupiti and other tools in order to develop learning capabilities. I've developed a math training game together with my 10-year-old son. So we developed the game together and he's playing it in order to teach himself math. And so that is a very obvious right move forward. I'm very curious to see how OpenAI is going to release this. Is it going to be a separate product? Is it going to be built into Chachypt? Who is going to get access to that? And some of the speculations that have been floating around that it might enable virtual study rooms where multiple people can study together with the AI, which will make it even more interesting because it will allow the human engagement part of learning to happen together with an AI tutor that can help facilitate or accelerate or support the process.

44:46Again, I think AI has a huge opportunity when it comes to education, and I'm looking forward to see how that evolves. That's it for this week. We will be back on Tuesday with the fourth and final segment of the Ultimate AI Showdown, which is going to compare AI tools for video creation. If you are enjoying this podcast, I would really appreciate if you rank us on your favorite podcasting platform, whether you're listening on Spotify or Apple Podcasts, please open your app right now and give us a review so we can know what you think about the podcast. Connect with me on LinkedIn. That always is helpful.

45:18And share this with your friends. There's other people that you know that can benefit from this. So if you have your phone accessible right now, please share it with them. And while you're at it, if you want to connect with me about the course, or if you just want to check out the course, just check out the link in the show notes and have an amazing rest of your weekend. I will see you back tomorrow.

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Is the way we search, work, and even build businesses about to be rewritten by AI browsers and agent-powered assistants?

From Perplexity’s sleek new browser to OpenAI’s not-so-secret plans to dethrone Chrome, this episode dives deep into the rapidly evolving world of AI-first browsing—and what it means for business, marketing, and the future of the internet itself.

In this data-packed, no-fluff weekend news roundup, Isar covers the browser wars, the business model shakeups, and how leaders should rethink digital strategy now— before Grok and friends rewrite the rules entirely.

In this session, you’ll discover:

  • Why AI browsers like Comet and OpenAI’s upcoming rival could kill SEO as we know it
  • What OpenAI’s browser play means for Google—and your search visibility
  • The business risk of ignoring Grok 4’s multi-agent “PhD-level” capabilities
  • The controversial Grok moments that got it banned in Turkey (yes, really)
  • How Microsoft quietly saved $500M using AI—while laying off thousands
  • Why Microsoft now requires all employees to use AI... or risk getting left behind
  • Education alert: 92% of college students are using AI. Faculty? Not far behind.
  • Why Apple might be buying Perplexity—and why that might not make sense
  • Plus: New models, wild benchmarks, and a timeline where Elon’s AI builds GTA in a year

About Leveraging AI

If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

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