301 | The AI That Builds Itself — And the Government Hand That Pulls the Plug, the largest IPO in History, and AI companies legally liable for hallucination outcomes, and more AI news for the week of June 12, 2026

**Isar Meitis** (0:00)
Hello, and welcome to a news episode of the Leveraging AI Podcast, the podcast that shares practical, ethical ways to leverage AI to improve efficiency, grow your business and advance your career. This is Isar Meitis, your host. And before I get started with this week's episode, which is really, really interesting, I owe you an explanation. Why the hell did I do a regular episode on Saturday and a news episode on a Tuesday, when for the last, I don't know, two plus years since we started adding the news episodes, it was the other way around. The reason is obviously episode 300 So it would have been really stupid to release episode 300 in episode 299 or episode 301 And so it was important to me to release episode 300 as episode 300, which happened to be on a Saturday. So that's why we released it on Saturday. I'm doing the weekend news episode on a Tuesday. So you're gonna get it on Tuesday, despite the fact that it really includes only the news from the previous week. And we will be back to the regular schedule with a Saturday news episode this weekend, and then back to the regular schedule of the specific learning how to do things with AI for business next Tuesday. So that's a quick explanation. This episode is brought to you by the Multi-Agent Orchestration course. We are about to launch the July cohort, which is already sold out and a little bit over that as well. And we're almost sold out of the August cohort as well. So if you're interested in taking the course and you do not want to wait all the way through September, and trust me, you do not want to wait all the way through September, you should look for the link in the show notes and sign up as quickly as possible. We just finished a cohort and was extremely successful. Everybody were extremely excited, was able to build amazing things. People got new contracts that they didn't get before. One person found a new job using the things they've learned and so on. So people are making huge updates and upgrades to their career and to their businesses using what they've learned. Real impact during and immediately after the course. So it does provide actual hands on capabilities that you can use immediately to drive growth in your business and for your personal life and career. And as I mentioned, if you want to learn how to use AI properly in this era of AI right now, so the first half into the second half of 2026, don't waste any second and come and join the course because just like all the other cohorts, this one will set all as well probably in the next week or so. And then the next time you'll be able to join us will be in September. So don't wait, click the button in the show notes and come and join us. And now let's talk news. There are a lot of really interesting things that happened last week, but I'm going to try to combine five of them into a single story. That single story will tell the story of where we are process. And we're going to talk about acceleration. We're going to talk about the current latest model. We're going to talk about how that impacts a specific industry as an example of what's going to happen in other industries as well. And we're going to talk about how that impacts money, to lots and lots of money. And we're going to talk about how that impacts the government and its decisions. So it's going to be a long deep dive that touches and connects multiple points in order to tell a story that will hopefully let you understand where we are and most likely where we're going in the near future. So let's get started. So the first part of the story, or if you want the engine that drives all of it, is obviously developing new AI models. And Anthropic released a paper called When AI Builds Itself. And in this paper, what they're talking about is how they see recursive self-improvement and how close they think they are. So the idea here is to basically tell the world how close they are and warn the world, or if you want, raise the flags or sound the sirens of how close they are on what this may mean. And they're saying they don't even know what the hell it means if they reach RSI. They're also saying they're not there yet. So I'm quoting right now, we are not there yet. The recursive self-improvement is not inevitable, but it could come institutions are prepared for. Now, before we dive into the facts that they provided, which are very helpful to understand because it tells you how close they are and where they are. Just a quick reminder, just a couple of weeks ago, we talked about the fact they hired Andrei Karpathy, which is one of the top researchers in the AI space. He was one of the founders in OpenAI. He was one of the people behind the biggest spike in Tesla AI. Then he went back to OpenAI, and then he left to do his own thing. And now he's back in Anthropic working on RSI, recursive self-improvement. So that tells you that they're definitely aiming and focusing on that topic on board researchers in the AI space. And not only that, it tells you how advanced they are if he chose to join them versus anybody else because he can't join anybody he wants.