243 | Super week !!! Gemini 3 and Grok 4.1 take the lead in the AI race, OpenAI and Anthropic sound the Super Intelligence alarm, 24+ hours coding agent, and more important news for the week ending on Nov 21, 2025

25:01But as I mentioned, Alibaba, as the giant it is, has integrated it with everything Alibaba. So it includes with services such as map and food delivery and travel booking, office suite booking, e-commerce, education, health guidance, et cetera, et cetera. Basically, everything that Alibaba knows how to do will be integrated into this app, very similar to what Google is doing and very similar to what OpenAI is attempting to do. Now, while it's currently released only in China, they're already working on international variations of this with the goal to obviously grow globally with this. Now, in addition to the big releases, we got a lot of new features this week.

25:33OpenAI just released group chat across the board for everybody. So following a one-week pilot in Japan and New Zealand, OpenAI is now deploying group chats for every logged-in user, including free Go +, and Pro plans worldwide. What does that mean? It means that you can invite up to 20 participants via shareable links to join an existing chat. These chats live in a separate universe in your ChatGPT application, which means you can see them separately and see all your shared chats, but they also do not impact or impacted by the memory of the application, which is awesome because it means that you can share whatever you want in these chats and your personal information and the memories about you and your business are not going to be shared through this chat.

26:12and also what you do in these chats are not going to impact the memory of ChatUPT about you and your business and so on. And another important aspect of this is all the human communication somehow doesn't count towards your limits or your context window, meaning when you have a regular conversation with people, it does not consume tokens. However, when you ask the AI to do something, it will, which makes it a more efficient way to engage with AI while engaging with other people. Now, Now, this is obviously the future of how we are going to work. AI will be embedded into most conversations and processes and projects that we're going to have in an organization and most likely to 100 % of work-related conversations, allowing us to tap into this AI capability as we need, meaning you can collaborate with people and AI agents as needed at the same time.

27:01In the work environment, this is going to be absolutely magical because you can collaborate with other people on your areas of expertise. But every time you need a capability that AI can do better than any of the team members, such as research, data collection from multiple sources, both internal sources and external sources, report generation, code writing, generating applications on the fly for things that you need, creative assistance, et cetera, et cetera, et cetera, you can ask the AI to help it be a part of the conversation. And because it was a part of the conversation all the time, it has a full context of what's going on and it can participate in the most effective way.

27:32This is the holy grail of collaboration work between humans. And I anticipate this to be, as I mentioned, everything, not just from the tools from the big lab like Gemini and ChatGPT and so on, but it will also be available in any other platform that we're using today, such as Slack, Microsoft Teams, et cetera. It is probably not going to be limited to only chat, which means we will start seeing, which means it will also be available to all the voice and video communication and live meetings. So either Zoom, Teams, Meet, et cetera, or in actual live human meetings where there's a microphone open and or a camera where the AI can participate.

28:04And I feel that this will become more or less natural, at least in some organizations through 2026. While this sounds a little crazy to many people right now, I do think that this is where it is going. And I think teams and organizations that will learn how to work this way will see an incredible acceleration in their ability to do the things that they want and need to do. So I highly recommend to all of you to learn how to do that as well. Staying on the conversation of ChatGPT and new functionality that is coming, a very interesting partnership between OpenAI and Intuit, the company behind TurboTax.

28:34So Intuit is going to pay OpenAI more than$100 million per year for integrating and enabling ChatGPT users to tap into TurboTax for instant refund estimates or Credit Karma credit reviews directly in your chat. So as many other tools integrate into ChatGPT, such as travel booking and ordering food and ordering stuff from the supermarket, this is going to be another application. And on the other side of this partnership, OpenAI are going to provide enterprise licenses for internal usage of Intuit employees, over 18 ,000 of them. And they're going to be used for everything from coding to customer support, research, et cetera.

29:08As I just mentioned, and as we detailed in previous episodes, this is a big push by OpenAI to have multiple applications running inside of ChatGPT, such as Spotify and Shopify and Zillow and so on. And this is most likely going to be a big revenue channel for OpenAI in the future. And right now, it just builds an ecosystem that will, from their perspective, be able to compete with the centralized platform such as Google in order to drive people to do everything within the OpenAI environment. That being said, this gets a lot more sensitive, right? There's a very big difference between ordering pasta and tomatoes from the supermarket or even doing research about available flights to a specific destination to allowing AI to get access to your financial information and taxes.

29:49But this is the direction that OpenAI is pushing it. And if they can make it work, it will open the doors for a lot more other personal aspects of communication together with AI, including other sensitive data such as healthcare or legal and so on. And speaking of travel and app capabilities, Google just increased their access to their Google AI-powered flight deals tools. So this tool that was released earlier this year only in the US and Canada is now available in beta for over 200 countries, including UK, France, Germany, Mexico, Brazil, Indonesia, Japan, Korea, and so on. and in more than 60 languages.

30:23Now in AI mode, and it has two separate modes, in AI mode that is currently available through Google Labs or desktop and only in the US, the new Canvas tool that comes as part of it lets users kick off complete trip planning with a single prompt, which will then generate a hyper-personalized agendas pulled from real-time search data, Google Maps, reviews, photos, web intelligence, and so on to create a detailed plan step-by-step for the trip. And because it's done in Canvas, you can then relate, change, copy, paste, and whatever you want to every step of your trip. Now, in the initial step, which is what we have right now, AI mode can only book restaurant reservations for US users only by querying multiple aspects such as party size and date and time and location and the type of restaurant you want.

31:08But in the future, they are planning to integrate it together with flight and hotels bookings as well, allowing you to plan but also book an entire trip just by having a chat with your personal agent. But speaking of agents, as I mentioned in the beginning, Microsoft held their Ignite event this week, which was all about, as you can expect, AI agents in the enterprise. Now, the keynote was about two and a half hours long. So while I highly recommended you watching keynotes in the past, this is not one I recommend watching, but I will try to summarize the key points that came out of that entire event.

31:39In general, as I mentioned, it's about agents in the enterprise, But they added a few very important capabilities to push the concept of enterprise-wide agent implementation to a whole different level. Maybe the most interesting aspect of this to most of you, not being IT professionals and working probably in smaller businesses and not in huge enterprises, is the reduction of the price of Microsoft 365 Copilot for Businesses from$30 to$21. That's an over 30 % discount. And the goal is very, very clear to make this accessible to other companies who have lower budgets for AI implementation. So more and more companies can afford to do that.

32:15Now, they also added several different layers to make the control and management of agent deployment more manageable for large organizations. And they introduced a tool called Agent 365. What Agent 365 is supposed to do is to give IT professionals or whoever is going to manage the AI deployment in the organization better visibility and control on all the different agents that are deployed across the organization. and they've included five different key capabilities. Registry, which is a single source of truth for the inventory of all agents, including shadow agents, meaning stuff that people develop on their own and see exactly who's running, where are they being used and so on.

32:51Access control that requiring a unique agent ID and enforcing principle of least privileges to allow people or not allow people to access different kinds of agents who can do different things in the organization. Visualization, which is unified dashboards to track connections and monitor ROI. interoperability, which allows it to access organizational context via a new tool that they called WorkAI, and obviously security, which is in-depth protection of using tools like Microsoft Defender and Purview applied to the AI agent's capability. They also created a new program called Agent Factory, which is designed to help organization to get assistance and move faster from ideas to production.

33:30It includes several different components. One of them is the ability to switch to a Microsoft Agent pre-purchase plan, also known as P3, which is a single-metered plan that allows you to use agents across everything that you developed. It is using a new measurement called Agent Commit Units ACUs, which is replacing the concept of tokens only in the agent world, meaning you commit to upfront buying of X number of these ACUs, and then you can run agents across your entire organization, dramatically reducing the level of complexity of different levels of licensing and setups that you needed before, which I think is a very smart idea from Google's perspective, driving this to a much broader adoption in organizations, because you know what you are capping your organization with and combine that with the ability to track what agents are actually being used, what they're being used for, and what's the ROI, allows you to then make much smarter decisions as far as which agents to develop, how many of them to keep, which one to tweak, and so on.

34:23This plan also includes a army of what they call Forward Deployed Engineers, or FDEs, which are experts that are going to work together with clients of this program, helping them to accelerate AI solutions and get them to production much faster than organizations can do on their own. The Agent Factory also provides tailored role-based training across live and instructor-led training to push the AI fluency across different kinds of teams in the organization. And as I mentioned earlier, they introduced a new tool called WorkIQ, which is the intelligence layer that is going to power future co-pilot agents.

34:56WorkIQ helps Copilot understand the user, their job, their company, the data of the company, emails, files, etc., and memory and inference all in the same time. These tools thrive on one thing and one thing only, and that is context. The more context they have, the better they work. And the idea of WorkIQ is to gather the user's context and provide it seamlessly to the agent so the user doesn't have to, which in return will deliver much better results, which is very smart from Microsoft's perspective. And very similar to what Google is doing, only with a much bigger focus on enterprise, they are integrating all these new capabilities into more or less everything Microsoft, including they now have Teams mode for Microsoft Copilot 365, which means that your one-to-one Copilot chats can turn into group chats inside of Teams.

35:41We just talked about this as a concept. And now that you know, it is already available and possible. Additionally, there is a facilitator agent in Teams that now is generally available. And it's helping to manage agendas, take notes, and keep meetings on track. Now, the free Copilot Chat integration into Outlook will soon be upgraded into content aware across entire Outlook inbox, calendars, meetings, allowing the user to get information to everything of your day-to-day knowledge. and agent mode in Word, Excel, and PowerPoint is coming to all Microsoft 365 subscribers, enabling them to generate complex documents, spreadsheets, presentations, and so on straight in the apps while using AI.

36:19So where does that put us? It is showing how aggressive Microsoft are in becoming the everything AI for any Microsoft user. And the more they're going to integrate this into the existing tools, and the more they will allow it to be context and content aware across more and more aspects of the Microsoft ecosystem, the more it will provide value to users, which in return will increase the usage of AI across the board, but definitely a huge step forward from an enterprise management perspective and agent creation and deployment perspective from Microsoft in this recent announcement. Staying on the enterprise level, Salesforce just announced a new capability called e-verse, which is a simulation sandbox that lets developers stress test and refine voice and text agents using synthetic data for reinforcement learning.

37:02So what does that mean? It means that previously you could develop an agent and test it a little bit with people and then deploy it to the real world, letting it face real world issues only when it is going live. Why? Because that was the only way to test it with live data. So what Everse does is it simulates real world chaotic data, such as bad connections and different accents and cross-talking between different participants in the call to expose the AI to real world environments and real world situation, allowing you to test models and then fix them while still in development phase versus after rollout, which is highly beneficial.

37:37It is just looking at your real data and then creating synthetic data that looks like the real data in order for you to test these models. This is not a new concept, but the fact that it's now built into Salesforce is obviously a big deal because it will allow Salesforce users to develop even more agents that are safer and better and do it a lot faster and in significantly less time. Another enterprise-related piece of news is that GitHub Copilot CLI now has all the latest and greatest tools, so the latest GPT 5.1 and Gemini 3 Pro, which will enable significantly faster and bigger code generation and reviews inside of GitHub Copilot.

38:13And from all the different releases of this week, which was definitely a lot, into some scary projections coming from multiple angles as far as the impact of AI on jobs and on our world. We'll start with Gartner. In the IT Symposium Expo in Barcelona, Gartner shared a somewhat apocalyptic future of what they're calling job chaos in the near future, going to a peak between 2028 and 2029. Now, they are assuming that AI will ultimately create more jobs than it displaces. but that in the short term, it is going to create, as they called it, a jobs chaos. You heard me say that from my personal opinion many, many times.

38:50I, first of all, do not necessarily agree it will generate more jobs than it eliminates. I don't see how that is even possible, but let's assume they are right in the short to medium term or in they specifically said 2028 to 2029, it is definitely going to take a lot more jobs away than it is going to create. And what they are saying that it will be forcing virtually every business to recalibrate how they're running the business, what is the org chart, what is the tech stack, and every other aspect of the business in order to stay competitive in this AI future. And they're not talking about a very long future.

39:23And they're describing four different scenarios that CEOs and leadership teams will have to consider when they're considering this future. One is human oversight endures, which means it's a lean amount of workers that man the fort, basically, while AI is running. And this group is monitoring and fixing all the small things that AI is not doing well. This idea is obviously keeping humans in the loop and with the goal of preventing mishaps while AI is running most of the show. Scenario number two is AI runs the show. Autonomous agents that sees basically full range of the business functions with very little or no human involvement in routine workflows and jobs from data crunching to basic logistics, customer service, and so on.

40:04Scenario number three is augment speed search, which is many, many employees still in place, just running significantly faster, generating a massive greater output that they can do today. Think about, and the best immediate example is code writing and debugging, right? The ability of code writers to generate code right now is 10X or 100X what it was just a couple of years ago. And the same thing with reviewing code and fixing it. Now take that concept and deploy it across every aspect of the business. And then scenario number four is revolutionary reinvention, which is AI pros harnessing the power of AI for completely changing and reimagining aspects of different industries and doing significant leaps very, very quickly and not just a gradual change, dramatically changing the business landscape of specific industries.

40:47Now, what they're saying is no matter which scenario executives leader choose, they need to be prepared to support all four of them because potentially different aspects of the organization or different industries will require a mixed approach to all of the above. I agree with most of what they said, other than, as I mentioned, their long-term assumption that it will generate more jobs. But as far as the short and medium term, we're 100 % in agreement. And it is crystal clear that organizations must invest in training of both their employees and their leadership teams in order to stay relevant and competitive.

41:17This is no longer a question of being early adopters and trying to be geeky about AI. It is potentially a question of survival for many businesses, and I would say most businesses. Now, my company, Multiply, this is what we do, right? I mentioned in the beginning, I deliver AI workshops. I did six or seven of them in the last two and a half months to different companies from different industries in different sizes, in different places around the world. And they are always tailored to the specific organization. And it is the ultimate accelerator of an entire company into the AI era. Now, most of the organizations I work with are either in the tens of millions or hundreds of millions of dollars in revenue, but I definitely have outliers on both sides.

41:53I have several different clients in the billions, and I have several different clients in the single digit millions. But if you are in a leadership position in your organization and you feel that you're either not moving fast enough or that you need to get started and you want to accelerate or kickstart the AI adoption process company-wide, these workshops are the perfect solution for you. It is the ultimate accelerator of adoption. And just go back to the beginning of this episode where I talked about what were people able to generate in just a day and a half of training and you understand why this is a complete game changer if you want to push AI faster into 2026.

42:25But I also serve small companies or individuals who want to accelerate. And we have two courses for that. One is our AI business transformation course that I have been running for over two and a half years now and trained thousands of business professionals and business leaders. And it is showing you how to effectively deploy AI across multiple aspects of the business. The next cohort starts on the week of January 20th, which is right around the corner. and it's perfect in order to kick off your 2026 with the right foot forward. It is a four-week course, two hours a week with homework and in-between hands-holding sessions where you can get to learn more.

43:01And it is the perfect way to get the basics of AI correct. We also just launched an advanced course for integrating AI assistant into workflow automation. This course is for people who already have a solid knowledge in using large language models and other AI capabilities who just want to take your knowledge into the next level and start automating business processes, tying it into your existing tech stack. This course starts on December 1st with another session on December 8th. Again, the perfect way to get ready for 2026 and start creating automations and building a much more efficient organization.

43:33And all these insights are obviously not just coming from Gartner. The reason I'm doing this is because I've been working with multiple organizations across the board, but also this week we got big hints from other organizations on how scary the current situation is, both from a workforce perspective, as well as from a risk to humanity perspective. So PwC Global Chairman Mohamed Kande just stated that the rise of AI is likely to lead to fewer entry-level graduate jobs at firms like PwC, as AI is taking more and more of these tasks that was previously performed by junior staff. Now, he also said that the recent cuts that they had were not due to AI, but he's definitely seeing this is as a critical aspect of their future hiring strategy, and that their biggest problem right now is struggling to hire skilled AI engineers to implement the technology even faster, which in return will reduce the needs for even more entry-level jobs.

44:24He did share that PwC abandoned the plans to continue increasing its headcount and is now focusing on hiring a different mix of people and skill sets, specifically focusing on AI capabilities and AI engineering. And if you need another example to show you how significant this push is, comes from the recent earning call from Klarna. So Klarna is a European company that specializes in financing of online purchases and credit lines. And they have been all in on AI since early 2023. And in their Q3 earnings call, their CEO shared that their headcount plunged from over 5 ,500 people in 2022 to just 2 ,900 in 2023.

45:02That is about half the employees. He also shared that AI is now handling tasks equivalent of 853 full-time employees up from 700 just earlier this year, driving the revenue per employee to$1.1 million. Now, how significant that is? An average SaaS company before AI, the revenue per employee is about$250 ,000. So this is 4x that revenue per employee because they're pushing AI across the board. By the way, to give you the other end of the scale, company who are AI first, basically AI native companies from Silicon Valley that has been established in the past two to three years and are all AI focused.

45:38The revenue per employee is over 2.3 million. It's more than double what Klarna is doing right now. And it's about 10x the average SaaS company. The other interesting aspect is that they have grown their salaries on average from$126 ,000 in 2022 to$203 ,000 right now. Based on their CEO, and I'm quoting, we have made a commitment to our employees that all of these efficient gains, and especially the applications of AI should also, to some degree, come back to their paychecks. So the half of the employees that weren't let go or left as part of natural attrition are making significantly more money.

46:13I'm not sure that this average is actually fair to look at because I'm assuming that they've hired a significant amount of AI developers. And because of the need right now, these guys don't come cheap. That by itself will dramatically increase the average salary per employee. But based on what they're saying, this is not limited to just developers, but all employees are enjoying this benefit as long as they are willing and pushing to use the AI tools that the company is delivering to. What is that translating to? A 108 % revenue increase since 2022 to now. This is insane. And this is, if you think about it, the dream of every CEO, especially public traded companies, rapid growth with no growth in expenses, and in their case, and even reduction in the workforce by a very dramatic way.

46:56So the bottom line is this is not slowing down. These tools will do more and will allow companies to cut the workforce or at least not grow the workforce while allowing the company to grow. This is obviously not possible for all companies all at the same time because there's a limited amount of demand for every service or product that companies are selling, which means it will lead to an even bigger reduction of jobs as companies cannot grow any further and have to look at their current cost and look for cost cutting. And this will be a very simple way to do that, which is not a good thing for the global economy as a whole, because then you won't have consumers to actually consume the goods because people will not have money.

47:33But in the short term, this is a huge opportunity for companies to push more AI capabilities, hint workshops in order to get competitive edge. And as individuals, it is a very clear need to know how to use AI if you want to keep your job and potentially make more money in the future. So go check out our courses, your future self will thank you if you do. But beyond the impact on jobs, we got two different scary predictions from two of the leading labs. One of them is OpenAI and the other is Anthropic. OpenAI just released a blog post called AI Progress and Recommendations. In this blog post, OpenAI talks about the dramatic reduction in cost per unit of intelligence estimated to be 40x per year based on the past few years and looking into the next few years.

48:17This means that this dramatic reduction in cost means that more and more sophisticated capabilities will become significantly more accessible to everyone, large organizations and small organizations, including individual entrepreneurs, which in return will accelerate product development and potentially lower the barrier of entry for every aspect that AI can be applied in. Now, they're also saying that the current AI capabilities are vastly underestimated by most people, definitely the broader public, as most people are still using AI primarily as basic chatbots or an improved way to search the internet instead of enjoying the incredible benefits that AI delivers.

48:55And they mentioned that systems that exist today already outperform the smartest humans in some of the challenging intellectual competitions in the world. We talked about the coding competition and the math competition in the past few episodes, sharing with you that AI is now better than top humans in the world at both these topics. So what they're saying, they're saying that for professionals that are seeking career growth, the skill gap between general AI use and expert level application is immense, and it is growing rapidly, and it requires significant push towards more training and more adoption of AI in order to remain competitive, either as individuals or as companies.

49:28And they also talked about the growth in the type of tasks that AI can do. So they said AI initially was able to do tasks that would take seconds to then tackling tasks that will take an average person an hour. But this trajectory suggests that companies will be able to create AI systems that will be capable of handling multi-day or multi-week projects that will run autonomously, and that is not in the far future. Which means companies need to plan for that and arrange for that and prepare for that across both tactical and strategic investments and oversight and collaboration and everything that requires in order to make this a successful transition.

50:01And now I want to quote to what I feel is maybe the most important and scary aspect of this blog post. So they said, although the potential upsides are enormous, we treat the risks of superintelligent systems as potentially catastrophic and believe that empirically studying safety and alignment can help global decisions, like whether the whole field should slow development to more carefully study these systems as we get closer to systems capable of recursive self-improvement. Obviously, no one should deploy superintelligent systems without being able to robustly align and control them. And this requires more technical work.

50:37So what are they suggesting that would happen? They're suggesting that there would be shared standards and insights from Frontier, and they're advocating for agreements on safety principles and sharing safety research and establishing mechanisms to reduce the race dynamics that is going on in AI right now. They're also acknowledging that the changes driven by AI will most likely require us to change the fundamental socioeconomic contract that exists today in order to support a completely new kind of future that will still allow us to sustain the kind of life we expect to sustain. And a very similar statement was shared by Dario Amadei, the CEO of Anthropic, in an interview to Fortune magazine.

51:16And he said, and I'm quoting, I'm deeply uncomfortable talking about the fact that there's too much concentration of power and technological capabilities in a short list of companies, and he's highlighting the existential risks of superintelligence, predicting that systems that are smarter than humans could emerge by 2027 or 2028, which is just around the corner. What is he calling for? He's calling for U.S. regulation proposing a federal AI safety agency, similar to the FDA or the FAA, with red-teaming capabilities testing new models while collaborating with international treaties to prevent dangerous global race.

51:54And I'm quoting, we need to slow down the race a bit. Now, he's also saying that voluntary industry self-regulation has failed because the AI profit-driven incentives are just too high and it clashes with safety priorities in this race to AGI and beyond. Now, I said that, and I said that all along. We have to, as a global society, to find a way to work together, China, US, Russia, Europe, Japan, everybody else to figure this out together. I actually don't think it's like the FDA or the FAA. I think it needs to be a group like the International Monitoring of Nuclear Weapons that will be in charge of looking into what every single company and every single country is doing around the world.

52:35And if you have two of the leaders of two of the most advanced labs telling us that they think they are running too fast because the incentives are too strong and they're not going to stop. This is not just a red flag. This is sounding every alarm you can imagine because what they're saying is based on what they are seeing in-house. This is not concepts. This is not me making predictions. This is stuff that they're seeing inside their labs because they can see six or 12 months into the future. And if they're saying that, this is a very, very risky point in the future of the human race, potentially, but definitely in the AI race.

53:06And if both of them are saying that they need to slow down, they probably need to slow down. The thing is without slowing everybody else down because of the business incentive, because of financial incentive, and because of the billions and trillions of dollars that are involved, they will not slow down unless some group, body, government, or other forces them to do so. I truly hope that the government will pick this up and will figure this out. We'll talk more later on about new regulations and laws coming in from the Oval Office, and you'll see that this may or may not be the case, at least in the US, in the immediate future.

53:34Now, staying on the scary side of AI, and again, this was not the goal to create a scary episode, but this just all happened this week. UB Tech, which is a Chinese company that has been developing a robot called Walker S2, has just released a video of showing their first full production batch of these AI robots. And this video is scary as hell. So this company has signed multiple deals with some of the leading industries inside and outside of China when it comes to manufacturing and specifically car manufacturing, including BYD and Geely and Volkswagen and Dong Jing Linsu Motors and several other companies driving their orders to over$113 million for these robots.

54:15One of the interesting things about the S2 robot is that it has battery packs in its back and it has the capability to swap its batteries, which means it will never stop. As long as you have a charging station with enough batteries for these robots to come in, they can pull a new battery from the stack, pull out an old one, stick the new one in, and continue working literally 24-7. Now, the reason the video is really scary, and we're going to put a link of that in the show notes, is it's showing hundreds of robots marching together out of the factory, all synchronized. It looks like a scene out of Terminator or like stormtroopers in Star Wars.

54:48Think about masses of lines and lines and lines of robots or marching together. And while this particular robot was built for factory production floors, military variations is an obvious next step for countries and for manufacturers, which will drive, again, billions of dollars in revenue. And as I mentioned, this is really, really scary from a very personal perspective. And just check the video yourself and let me know on LinkedIn or in any other way you want to communicate with me, what do you think about it? Staying on robotics and how they perform, Figure AI, which is a company from the US, just pulled out its Figure 02 humanoid robot from the BMW assembly lines where it has been working for an entire year.

55:27And they shared some very interesting statistics about these robots. So in 11 months, these robots helped to build over 30 ,000 vehicles with zero major meltdowns. So this F02 robot clocked over 1 ,250 runtime hours across 10 hour shifts, Monday through Friday, loading over 90 ,000 sheets of metal and parts into welding machines with 99 plus percent accuracy on the job. Now, in addition, the robots racked up to estimated 200 miles of walking inside the facility in this past year. And the reason they pulled them out is because they're now coming up with a new model and they want to learn by investigating the previous model in order to implement it in the O3 model that is just coming out.

56:11The CEO shared a post on X with all this information, plus some images showing the war wounds, as I said, of these robots showing like small scarring and scratches on their metal bodies. But overall, as I mentioned, 99 plus percent accuracy and deliverability across these factories. Very big success for this company that is now coming up with their new model. I told you before that we're going to touch a little bit on new regulation coming from the White House. So the Trump administration is now crafting an executive order to basically block state-level AI regulation, prioritizing federal national level innovation over the fragmented local rules.

56:46Now, this executive order, which a draft of it has made its way to the information, would task the attorney general with forming a unit to challenge state AI regulations on constitutional grounds, basically zeroing in on several different measures that California and Colorado that are demanding AI transparency and other aspects and safeguards that might slow down innovation. And they do not want that to turn into a 50-state patchwork across the entire country, which will slow down AI innovation. Now, to force this, the executive order would instruct the Commerce Department to withhold federal broadband from states with, quote, burdensome AI rules that might erode the US global AI leadership, which is fully aligned with the White House July AI action plan that I shared back then.

57:30In parallel, the Commerce Secretary will assemble a team that will collaborate with Federal Communications Commission, the FCC, and the White House AI advisor, David Sachs, to draft a unified federal AI standard, which will pave the way to progress and the right conditions to maintain America's edge in international AI race. This does not sound something that is collaborating with the alarms that are sounded by OpenAI and Anthropic on the risk of continuing to run at the pace we're running right now. It definitely sounds like we need to beat China or else, and we will do everything in order to make that happen.

58:06Now, I might be wrong, and I hope I am wrong, but currently it is fueled by A, the current administration core belief, and people like David Sachs is a very clear example of that. And in addition, it is driven by super PACs that are targeting anti-AI regulation, such as Anderson Horowitz's firm just poured$50 million into a super PAC like that to reduce the amount of AI regulation in this administration. So on one hand, I'm happy that there's not going to be state-specific patchwork of different regulations on both aspects, both on slowing innovation down as well as increasing risk, because you won't be able to have a unified approach to all of it.

58:43And I see this as an opportunity to actually potentially generate a more controlled nationwide and then maybe global environment, because we'll come from the US federal government and not from specific states. But I don't have a feeling that this is the direction that it is going. And this is somewhat or maybe more than somewhat troublesome, at least from my personal perspective. And now for some holiday related news. According to a November 20th release from a nonprofit company called Fairplay, parents should stay away from buying AI toys this season due to serious risks in aspects such as data invasion, emotional risks, and disrupted human play.

59:21And they're claiming that some of these toys have already sparked obsessive use, explicit chats, violence prompts, and self-harm nudges in young individuals. Now, Fair Play warns that these gadgets that are often chatbots that are stuffed into teddy bears and different kind of stuffed animals might also erode these kids' ability to develop human relationships as they will develop dependencies on these furry, cute little animals that can now talk to them. And that might hurt their long-term ability to develop human relationship and even sensory skills that are required for them to grow as normal humans.

59:54Now, while in the future, I see these kinds of toys as an incredible way for us to drive early teaching of different scales, I do believe that the current versions are very far from that. They're built as toys with very little supervision and control on how it engages with your young kids. And hence, I tend to agree with Fair Play's assessments and recommendation not to buy these toys to your kids right now. Connecting into the previous point, I really hope that in the future we'll have regulation that will define exactly what kind of AI tools and what kind of level of engagement can be delivered to young individuals either through computers, their cell phones, or cute little furry toys.

1:00:30So as you're planning your Thanksgiving shopping or other holiday shopping, take that into consideration. And on that note, happy Thanksgiving to all of you. We have a lot to be grateful. And I will start by saying that I'm really, really grateful and thankful for each and every one of you listening to this podcast, for inviting me to deliver workshops to your companies, for attending my courses, for participating in our Friday hangouts, and for being a part of my personal journey of driving towards a future where AI is a part of our lives, but making it better rather than making it worse or putting it at risk.

1:01:01So a better future driven by AI. That is it for this week. Have an awesome rest of your weekend. Have a happy Thanksgiving. And I will be back on Tuesday with another how-to episode where we're going to dive on how to implement AI for a specific aspect in your business. And until then, have an amazing rest of your weekend. you