247 | AI bubble sirens: the $8 T bill, OpenAI’s “code-red” scramble, Anthropic Opus 4.5 dethrones Gemini 3, AWS rolls out Frontier Agents — and more AI news for the week ending on December 5, 2025

26:49Basically you cannot afford for it to be wrong 5 % of the time or 2 % of the time. It's just not acceptable. It has to be accurate every single time. Since we're already talking about Microsoft, another interesting point that was shared by another article on the information, share that Microsoft is planning to potentially replace the headcount of licenses because of agent takeover to paying licenses for agents. So Rajesh Jha, who is Microsoft Executive Vice President, basically thinks that the reduced human headcount for Office 365 licenses that will come because of automation that will replace these humans will be more than replaced by licenses that will be sold and used for agents to do the same work.

27:34The way he's looking at it, these agents, and I'm quoting, they're going to have an identity. They're going to be in an address book. They're going to have a mailbox. They're going to need a computer to do its computation in a secure way. To me, all of those embodied agents are seat opportunities. And when it comes to addressing the fears of revenue loss because of job losses of humans, just stated in a UBS conference, and I'm quoting, I'm not seeing AI as driving down seats. If anything, I think AI is going to be an opportunity for us to drive seat growth. My personal opinion on this is that it's total BS.

28:11And the reason I'm saying that is I'm seeing what I am implementing with many of my clients. Many of them are in the Microsoft world. And a lot of the stuff that AI can do completely reduces the amount of seats. And it does not require, at least right now, to buy any additional licenses because one user, a human user, with the right AI tools can do the work of three different users. So while his statement makes sense conceptually, let's start charging agents for licenses. I don't exactly see how that is going to happen, especially that they don't live in a vacuum and there's other companies providing similar solutions that may not require buying additional Microsoft licenses.

28:47So if the only option was that, then maybe they could twist the hands of their clients to actually do that, but they're not the only gaming down. And so I do not agree with this projection from a personal perspective. Now, speaking of competition that is offering similar technology, AWS just had their big event called reInvent 2025. And it was all about agents and new models, as you would expect from a company the size of AWS when it's doing a big event. So they just introduced a new class of AI agent they called Frontier Agents that are designed to act as autonomous extensions of a team. Now, unlike previous bots, these agents can handle complex multi-step tasks for hours and sometimes even days.

29:27In this initial release, there are three agents that are included, but they're planning to develop more. The existing agents are named Kiro, which is a virtual developer that can navigate code repositories and fix bugs and create code at a very large scale. Well, there is an AWS security agent that acts as an always-on consultant that looks at new code that is being created and deployed and looks for potential security risks and loopholes in the code to fix them. There was a very big applause in the event when this was announced because as of right now, humans can create a lot more code because of the usage of agents.

30:03So if you're creating a lot more code, you're potentially creating a lot more risks and having an agent that continuously monitor these risks is obviously very important, definitely at the enterprise level. And then the third one is a DevOps agent that serves as an on-call operational team member to respond to outages in your DevOps infrastructure. Again, a very important solution, especially when we've seen the recent outages that happen across the board on several different platforms. This is a very important tool that will be available to anybody who decides to use this. They also announced their third generation of Terranium servers.

30:39That is a completely new generation of chips that can run in what they call ultra servers and run at a very high capacity. They're almost four and a half times more compute performance and four times greater energy efficient compared to terrarium 2 so just the previous version they provide 4x faster response time and 3x higher throughput on a single chip compared to the previous model what does that mean it means you can do everything you want to do at less price and at a quarter of the time they also introduced a new family of the nova models which is their homegrown ai models these models are good but they are not competing as of right now with the top frontier models, but they came up with a very interesting concept that they called Nova Forge.

31:24What Nova Forge is, it's a service that is allowing companies to blend their own proprietary data with the Amazon curated data sets to train custom models based on the Nova models. That basically means you can embed your company's know-how data and so on into the weights of the actual model itself inside a training run. And this, I assume, will be something that many, many companies will be highly interested in using. And they also made another really interesting announcement, which they call AI Factories. And what AI Factories is allowing enterprises and governments, basically any organization who's interested, to deploy dedicated AWS AI infrastructure, running NVIDIA GPUs and or Tranium chips directly into their own data centers.

32:13So this is a major shift from their previous strategy. Previously, if you wanted to use AWS infrastructure, You had to, quote unquote, rent it from AWS, right? It would run on AWS premise. But now they're allowing you to use the technology that they have developed that can run either their own chips or their competitors' chips, which comes from NVIDIA, and run it in your own company's data center while leveraging all the technology and infrastructure capabilities that they have developed. Why do I think this is happening? I believe this is happening because they understand that with the current level of demand and with the amount of flexibility that companies will require and with big fears on data and security when running AI, they understand that they may not be able to twist everybody's arm to run it on AWS ecosystem.

33:00And hence, they are seeing this as an opportunity to still be competitive and providing what they have developed to other companies to run on their facilities as well. I believe this is something we will see from all the major players, and we will see a lot of frenemies relationships where these competitors on paper will collaborate to deliver more flexible solutions because this is what the market demands. Now, as part of all these updates, they're also added some new capabilities to Bedrock Agent Core, and this includes policy controls for setting boundaries to the different agents and everything that's happening on Bedrock, as well as episodic memory so agents can learn from past experience and get better over time.

33:38And to summarize it all up, I will quote Matt Garman, the CEO of AWS, who said, The next 80 to 90 % of enterprise AI value will come from agents. This shift is going to have as much impact on our business as the internet or the cloud itself. That is a very big statement when it comes from the company that more or less invented cloud computing in the version we know it today, and that are still the leader in that space. Now, before we continue with the big players and their announcements, since we're already talking about Amazon in a interesting uprise, and I can't use a different word to say it, over a thousand Amazon employees, together with over 3 ,600 external supporters from companies such as Microsoft, Google, Meta, and SpaceX, have signed a letter to the CEO that is warning that the company's frantic race to dominate AI is causing significant damage to the workforce and the planet.

34:35To sum up the letter, and we'll put a link to it in the show notes, It is basically saying that the all-cost-justified warp speed approach of AI development will do incredible damage to democracy, jobs, and the planet. One of the examples that they mentioned is that while Amazon has been committed to getting to net zero by 2040, the annual emission have grown roughly 35 % since 2019. A lot of it is due to energy demand when it comes to building new data centers. They also note in the letter that while Amazon has cut 14 ,000 managerial roles to quote unquote get lean, it is at the same time planning to spend 150 billion on AI data centers that comes to address the job risk that comes with it.

35:20And they're also talking about a internal culture that is basically a swim or sink culture where you are forced to either work with AI or lose your job. And this has become the norm inside of Amazon. And they're making three different demands And in this letter, one is no AI with dirty energy, basically to halt using fossil fuels to power data centers. The second one is no AI without employee voices. So creating a ethical working groups with non-managerial staff to oversee AI development and deployment inside the company. And no AI for violence, basically banning the usage of Amazon AI for surveillance or mass deportation efforts.

36:00Now, while this letter is really interesting, there have been many similar letters in the last two years, and none of them have done anything to slow this process down unless there's going to be a massive strike across multiple of these companies with employees pushing back, or by the government slowing this down by regulation, which is definitely not happening. I don't see any of these letters unmeaningful. It is important that people are signing their voices. We are in a democracy. And I, by the way, agree with everything that they're saying. I don't think it is going to make any difference on the actual speed in which these companies are going, despite the fact that many of them are raising the flag saying, we're running too fast, please slow us down.

36:36And to sum this whole section up of all the new announcements and all the new tools and the emergencies and things that are happening at the biggest companies in the industry, I will share with you some of the latest findings from similar webs preliminary data for November of 2025. So Google Gemini's platform have seen website visit rising 14 % in just one month to 1.35 billion visitors, which is a huge jump, especially at that scale. Chachipiti, on the other hand, had seen a traffic of 5.84 billion visits, so about three and a half X more traffic than Gemini. However, that is a decline from October that had 6 billion visits.

37:17So Chachipiti's visits has shrunk by about three to 4%, while Google Gemini has seen a 14.3 % growth. Another big growth has been experienced by Grok on much smaller numbers, but it also has grown by 14.7 % to 234 million visits. And so the trend is clear as of right now, more people are going to Gemini and using it more and more, while ChatGPT's growth has plateaued or even reversed somewhat, at least in the recent few weeks. Hence the code red inside of OpenAI and focus on better delivering a better chat GPT. Now, overall, the summary of this makes a lot of sense. The sector as a whole is still growing like crazy with Gen.ai apps downloads surging 319%, so more than 3x year over year.

38:06And that's obviously in addition to the overall growth of web traffic. And since we just finished speaking about the very large announcements from the very large players, let's switch to talking about new releases this week. And there's been some significant releases. The first one is DeepSeek, just released DeepSeek 3.2. If you remember at the beginning of the year, we had the DeepSeek moment where a company that nobody has heard of out of China came and released a model, an open source model that was as good as the top models in the US. And now they have done it again. So they released two different models, a regular V3.2 and then V3.2 special, or I don't know exactly how to pronounce it, but that has reportedly achieved a gold medal performance in both 2025 International Mathematical Olympiad and the International Olympiad of Informatics, placing it in par with Google's Gemini 3 Pro and ahead of GPT-5.

38:59And they have done it at a cost of$0.028 per million input tokens, which is about 10x cheaper than the Western-based models. Now, the special model is specialized in reasoning first that natively integrates thinking capabilities, including into tool usage, which basically means that this model was built specifically to be really good as the underlying infrastructure for agents, which is aligned with where everybody is going. Now, to make it even more interesting, the model is built on a new concept that DeepSeek is calling DeepSeek Sparse Attention with the acronym DSA mechanism, which they're claiming that is an architecture, and I'm quoting, that substantially reduces computational complexity while preserving model performance, effectively halving the cost of processing in long context tasks up to 128 ,000 tokens compared to traditional models.

39:55So what does all of this mean? It means that DeepSeq is positioned for exponential growth in the agentic era, A, because it is an open source model, and B, because they achieve the holy grail. It is a better model at lower cost that is built specifically to do tools usage, which is what everybody is looking for right now from a global competition perspective that places it as a direct threat to US models and first and foremost to Meta. So if you remember, Meta was trying to position themselves in 2024 and into 2025 as the world's top open source model. And really, they have not delivered anything meaningful for a very, very long time.

40:39There was a huge disappointment in the release of Llama 4 and then the establishment of the super intelligence team that has sent the whole AI team into a complete turmoil. and they haven't delivered anything for a while now other than negative news as far as HR and changes in the organization. And so this is just another nail. I don't know if in the coffin of Meta because we can't ignore the fact that they're a huge company with huge resources and with huge data and distribution, but right now they're not in a good shape. Another really interesting model release that happened this week is Runway 4.5, which is their latest image and video generation tool.

41:19And the demos are absolutely mind-blowing. They have integrated several capabilities that used to be distributed into one model that can now create, switch characters, keep consistency, extend videos. Basically, all the wet dreams of everybody that creates videos with AI are available now in this one model. Just a quick reminder, Runway has been there delivering AI video capabilities before Sora, before VO. So they were basically the first real model out there that could generate something that was worthwhile looking at. And 4.5 puts them back ahead of the game. Go watch the examples. They're absolutely incredible.

41:55And if you are a video creator, you just got another really amazing goodie that can do some very sophisticated stuff almost seamlessly. And as if we did not have enough models that are really good on our plate to choose from, a new company that is a spinoff out of an MIT research that is called OpenAGI, just came out with a brand new model out of stealth that is called Lux. And Lux is built as an agentic platform versus a large language model, and they built it this way from the ground up. It has achieved a staggering 83.6 success rate on the online mind-to-web benchmark. Now, what is online mind-to-web?

42:34It forces agents to interact with 136 live changing websites to perform over 300 diverse tasks from booking flights to cross-referencing e-commerce data. And it's basically evaluating real world resilience on actual websites versus textbook problem solving. And so as a benchmark, it achieves 83.6 % success rate compared to Gemini's CUA, computer usage agent that achieves 69%, OpenAI operator with 61%, Anthropic Cloud with 56%. So it has blown out of the water the leading models in the world in agentic usage of actual tools. It is also extremely efficient in doing this, and they are claiming it is going to cost one-tenth of the cost of these major competitors to run this model.

43:24Now, to make it even more interesting, while most of these competitors like Chachapiti Atlas runs in a browser and can only do browser, the OpenAGI model can also run applications on your desktop, meaning it can operate anything on your computer and engage with the entire tech stack that you have. It has three different modes, actor mode, which is optimized for speed, thinker mode that is designed to handle vague multi-step goals, and then Tasker Mode, which offers maximum control, accepting Python lists of steps, and reiterating until it actually successfully completes tasks. Now, they're claiming that the reason they are so good at this is that they're not training this as large language models are trained, but they're using a process that they call agentic active pre-training.

44:08Or the explanation that OpenAGI provided, and I'm quoting, most LLMs are trained to passively absorb knowledge, like learning to drive by memorizing thousands of manuals without ever touching the steering wheel. In contrast, our agents' active pre-training allows the model to learn by doing. Now, if you remember earlier in this episode and in previous episodes, we shared that some of the leading brains and people in this crazy race, I've said multiple times that LLMs alone will not get us to AGI and some new breakthroughs will be required in order to get there. This might be one of those breakthroughs on how to train agents on an agentic, more flexible environment versus just on static data that will allow them to perform, as we've seen in this benchmark, significantly better than large language models on such tasks.

44:58Another huge release this week was Anthropic Opus 4.5, which is receiving raving reviews on both Reddit and X, especially from people who are computer developers who are saying that this model just writes code in a completely different level than any of its competitors. It has taken the top ranking for web development on the LM Arena from Gemini 3 by a big spread. So 1511 points versus 1476 with a huge number of votes, putting it a clear number one when it comes to writing code, pushing Claude Sonnet 4.5, which was the darling of the code writers, all the way down to number five. So right now the ranking is Claude Opus 4.5 thinking in number one, Gemini 3 Pro in number two, Claude Opus 4.5 Not Thinking number three, GPT-5 Medium in number four, and then Claude Sonnet in number five.

45:50But again, the reviews is not just by the numbers, is people are saying this is just the best coder they've ever seen. And it's the first time it really feels like a partner that can code with you and sometimes for you in an effective way. So kudos to Anthropic for the release of this new model. From my own personal experience, I find it really good in writing in general. I always like Claude, but this model is just even goes beyond that. It's just fantastic in understanding what I want and writing exactly the kind of content I expect in it. I find it to be a much better strategy companion than Sonnet 4.5, potentially being maybe better than GPT-5 at this point.

46:25However, I'm still favoring GPT-5 when it comes to brainstorming and strategic thinking, just because of the voice mode inside of ChatGPT, which I believe just gives me, from a personal perspective, a much better way to develop ideas and think about new strategy and evaluate things that I'm thinking of because I find it a lot more intuitive to just speak to it versus type. And especially with the new capabilities of the voice that is integrating it into the chat, I am going to stick to doing this in 5.1. But when I tried it with Opus 4.5, I was seriously impressed. And while this model was released, a researcher was able to find the quote unquote sole document that is embedded into the model's training data that gives it its, well, soul.

47:10Anthropic researcher Amanda Askel has confirmed the authenticity of this text. So this text includes several very interesting concepts. The first one, it is sharing with the model that Anthropic occupies a particular position in the landscape, a company that genuinely believes it might be building one of the most transformative and potentially dangerous technologies in human history, yet presses forward anyway. This isn't cognitive dissonance, but rather a calculated bet. If powerful AI is coming regardless, Anthropic believes it's better to have safety-focused labs at the frontier than to cede that ground to developers less focused on safety.

47:50It is also defining the personality of Claude as a brilliant friend who treats the user like an adult, offering frank, high-level advice like a doctor or a lawyer would, rather than watering down answers out of fear of liability. The guidelines in this document distinguish between hard-coded safety rules, such as never help somebody build massive weapons of mass destruction, and soft-coded traits, such as tone and helpfulness in specific scenarios. And those soft-coded traits should adapt to user's context versus the hard-coded ones that it should never deviate from. So very interesting approach by Anthropic.

48:28I don't know if other models do the same thing. If they do, maybe it just wasn't found. The thing that I thought about from a safety perspective, if one researcher can find the core instructions of a large language model, what does that mean to the safety and security of everything else that runs in this world and the way the data is used and so on? And I'm not sure I have the answer to that. And it really scares me to think what is the security level of these systems if a single user can find the core instructions of one of these models. If a single user can find components of the core instructions of the model that defines itself as the safest model out there with a company that prides itself of being the most safe in the industry.

49:08We're going to switch to some quicker topics. A lot of them are really interesting and I would have loved to have the time to dive into them, but at least I think you need to know about them. There's been a lot of partnership and or M &A happening this week as well. So OpenAI announced an investment in Thrive Holdings, which is a new investment vehicle launched by one of OpenAI's largest backers, Thrive Capital. So while that sounds like a circular investment to you, it sounds the same to me and to everybody else. So how does this work? OpenAI is going to take equity in Thrive Holdings, which is a private equity company that is owned by Thrive Capital that invested a lot of money in OpenAI.

49:44The deal does not include any cash transactions. Instead, OpenAI is going to provide technology, staff, and services to Thrive Holdings portfolio companies. So it is being presented by OpenAI and Thrive as a way for OpenAI to embed its technology in real-life environments and benefit the companies in the Thrive Capital portfolio, which means if they are successful, OpenAI will make more money. But again, going back to fears of a bubble, this is a great example of a vicious circle of investment where the money that OpenAI gets gets invested into companies that Thrive Capital own, that OpenAI can benefit from if they are successful.

50:23I do, by the way, agree with the fact that giving OpenAI the opportunity to directly implement its technology and companies to prove and to help them be successful as a result make sense to me. Maybe they shouldn't have picked a company that have invested in them in order to do this thing. In another deal, OpenAI has acquired a startup called Neptune for a valuation that is just under$400 million. They will get all the technology and the employees and will embed them into OpenAI's capabilities. Neptune.ai specializes in building tools for tracking and debugging machine learning experiments. OpenAI has already been using them in the past and very happy with the tool.

51:00And now they're going to own the technology and they're going to wind down the support of external services that have been provided to other companies such as Samsung and Roach and HP and some other large companies. In a similar move, Anthropic has acquired Bun, which is a high-performance JavaScript runtime company that can build, test, and package JavaScript apparently much better than Node.js. In a very similar concept, Anthropic has been using bun for a while. They've been using it to dramatically improve the results of CloudCode, and they are now going to own it and embed these capabilities into CloudCode to make it even better.

51:38This comes, by the way, together with an amazing milestone for CloudCode of reaching $1 billion in annualized run rate in less than six months since its launch, and it's already being used by major companies like Netflix and Spotify and Salesforce and KPMG. All are seeing amazing results with Cloud Code, and this is just going to make it even better. Now, speaking of money and Anthropic, Anthropic is currently looking at a new round that is going to evaluate north of$300 billion, raising most likely over$15 billion that they already have committed. So this may grow beyond that and may grow beyond the$300 billion valuation, but they're also apparently are looking into a IPO opportunity potentially as early as 2026.

52:24They have hired one of the top law firms in the world to do these kind of things, Wilson, Sonacy, Goodrich, and Rosati, who is the company that took public small companies such as Google, LinkedIn, and Lyft, and they are in conversation with them on how to structure their IPO. They have downplayed the move. Dario basically said that in their current scale and size, this is something they have to do, but it doesn't mean that they're actually going to do it or do it in the near future. But the rumors are talking about a relatively near future IPO, which makes perfect sense. Now, speaking of Anthropic and partnerships in a really interesting strategic partnership, Anthropic has partnered with Snowflake and they've announced a multi-year$200 million partnership designed to bring agentic AI based on Anthropic capabilities to over 12 ,000 global enterprises that use Snowflake as the database backend of their operations.

53:17So the idea is embedding Anthropic Cloud models directly into Snowflake's secure platforms to deliver the biggest problems in the corporate AI right now, which is allowing models to access and reason over the proprietary data of the entire corporation without compromising security. So by bringing the models into the already secured environment, they're going to achieve that. I And I think we're going to be seeing similar approaches from other partnerships in the industry. A great example of that, we talked about earlier in this episode, when it comes to Amazon AWS, allowing you to run agents inside the AWS environment in order to gain similar benefits as this partnership delivers.

53:59Another company that has dropped a nice chunk of change this week to get agentic capabilities into its environment is ServiceNow. ServiceNow just spent just over a billion dollars to acquire VEZ, which is a company that has developed technology for identity governance capabilities, and ServiceNow are planning to integrate those into their enterprise platform, creating an AI control tower that ensures that the next generation of autonomous agents can be deployed securely and managed by human employees. So very significant M &A activity this week. The numbers are absolutely staggering. The fact that every one of these deals is either in hundreds of millions or billions of dollars, And they're allowing to combine some of the most advanced technologies with other really advanced technologies, showing you how active this market currently is.

54:46And I expect this to continue happening. And our next quick rapid fire topic is going to be around politics and how it gets now tangled with AI or not now, but how it's increasing dramatically. So a new report from the New York Times reveals that a network of super PACs is mobilizing back candidates who favor stricter AR guardrails, pushing direct head on to counterbalance the super PAC that was created by the regulator efforts that we reported a few weeks ago that is pushed forward by Anderson Horowitz and people from OpenAI and some other people who are trying to reduce regulation. this new super PAC is planning to initially raise$50 million.

55:28The other super PAC has$100 million, but they're planning to push from there. And their goal is to push safety first and to increase regulation in order to make AI development safer. To make this even more interesting, the super PAC is actually working across the aisle. So you have Democrats and Republicans are a part of this new super PAC pushing it forward. It is obvious that AI will become a key topic in the 2026 mid-elections. And I think some of the politicians see it as an important point. Some of them just see it as an important point that they have to cover, whether they agree with it and know anything about it or not.

56:05But they have to learn the talking points in order to gain more votes. And we'll see more and more of that in the next few months as these politicians are going to test different approaches to gain more votes and see which way they want to lean. Right now, it is very clear that both Republicans and Democrats have not decided which side they actually want to support or need to support to get more votes. And I think over the next few months, we'll start seeing more and more clarity and alignment with each and every one of the parties and which way they are leaning, which right now is not totally clear.

56:38Still in politics, the battle between central federal laws and state-specific patchwork, that battle is intensifying on both sides of the equation. and it's pulling in the top players in the industry into that debate. Sundar Pichai, the CEO of Google, just spoke to Fox News on Sunday and has issued a warning to U.S. policymakers saying that the rapidly expanding maze of state-level AI regulations is becoming a competitive liability in the tech race against China, which has been the statement by the people who are pushing for deregulation and for federal control. But as I mentioned, there are many others people who believe it should be the either way around.

57:23One of the things that Sundar shared is that more than a thousand AI-related bills are currently moving through state legislatures across the US, which will obviously make it very, very hard for companies to comply and deal with each and every one of them separately. And staying on government and politics, the White House has launched the Genesis mission or what they call the Manhattan Project of the AI age. The Genesis mission is an executive order that is with a goal to be a national initiative that aims to integrate the world's largest collective federal scientists and data sets with cutting edge AI infrastructure to accelerate discoveries in critical fields like clean energy, biotechnology, and advanced manufacturing.

58:05And they're planning to do this by mobilizing the Department of Energy's national laboratories, private sector partners, and top universities, all in combination to create an American science and security platform that will invest in the developing of all these fields using AI. This executive order has a very aggressive timeline, and it is requiring the secretary to, and I'm quoting, demonstrate an initial operating capability of the platform within 270 days, basically three quarters of the year, which is extremely fast when you're talking about a national level infrastructure project. Do I think about this?

58:45I think it's a great idea. I think the government pushing forward, not just AI for the sake of AI, but AI for improvement of clean energy, biotechnology, and advancements in things that actually matter on the day-to-day is a great initiative. It will be very interesting to see how they combine government agencies with private sector knowledge base. And I am hoping we will see very positive results that will actually have real impacts on our day-to-day future lives. So what didn't we talk about that is just available in the newsletter? Well, Microsoft is announcing price hikes and major updates to their AI platform in 2026.

59:24We have several different shakeups in AI leadership in Apple. We have a Harvard Business Review, new concept that they call the CDAIO, basically Chief Data Analytics and AI Officer, as a new position they think every large enterprise should have. A safety report that is claiming that more or less all short when it comes to their safety index warnings by Demis Asabes of AGI arriving within the next five to 10 years with a 50 % chance it's coming by 2030. and many other really important and interesting articles. So if you want to learn more, go and check out our newsletter and you can just browse through it quickly or dive deeper if you are interested.

1:00:01We'll be back on Tuesday with a fascinating episode that is going to show you and teach you how to use Claude Projects to write amazing content for any purpose, whether professional needs internally like sales content or emails or creating marketing content across the board, all with an amazing framework that's coming this Tuesday. And final notes, if you have not yet done so, I would appreciate it if you click subscribe to this podcast so you do not miss any episode that we drop. I'm doing everything I can to get you the best information possible in the most effective way. And so if you subscribe, you'll be able to get all of that.

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