I just realized Elon Musk's insane new plan. It's truly one of the craziest things I've ever thought about. And the implications for not just Tesla or SpaceX or any of his companies, but the entire AI ecosystem, period, and the economy and society are beyond massive. Check out this post from Elon, which will sound like total crazy gibberish, but I promise I will help you understand why this is such a big deal. Here's what he said. Macroh hard or digital optimist is a joint XAI Tesla project coming as a part of Tesla's investment agreement with XAI. Grock is the master conductor navigator with deep understanding of the world to direct digital optimus which is processing and actioning the past 5 seconds of real-time computer screen video and keyboard mouse actions. Grock is like a much more advanced and sophisticated version of turnbyturn navigation software. You can think of it as digital optimus AI being system one which is the instinctive part of the mind and gro being system two which is the thinking part of the mind. This will run very competitively on the super lowcost Tesla AI4 chip which is 650 bucks paired with a relatively frugal use of the much more expensive XAI Nvidia hardware and it will be the only real-time smart AI system. This is a big deal. In principle, it is capable of emulating the function of entire companies. That is why the program is called Macrohard. A funny reference to Microsoft. No other company can yet do this. Now, he also replied to this post, which I'll read in a second. But what's very interesting about this post is that there was an interview with a former XAI employee on a podcast where this was leaked. And a lot of people were wondering, how is this even possible? How can something this game-changing, which I'll explain why, just leaks out of nowhere? But now we have confirmation that the company is actually working on this and it's absolutely massive. Now, here's his reply to his own post. Oh, and it works in all AI4 equipped cars, so your car can do office work for you when you're not driving. We're also deploying millions of dedicated digital Optimus units in the field at superchargers where we have 7 GW of power available. Okay, so that sounds like a combination of crazy and nonsense, right? But here's just one example of what that means in practice. Every new Tesla parked in a driveway right now could be doing your office job while you sleep. If you've heard or played with tools like OpenClaw or Claw Code or any of these countless AI agents, it basically means you'll have a digital robot, aka digital Optimus, doing work in the digital work, aka working on a computer inside of the chip inside of Tesla's cars. I've been tracking Elon and his companies for 14 years now, since 2012. And this is easily one of the craziest things I've heard come from Elon. and he says a lot of crazy things as we all know. So, let me walk you through what's really going on here. But before I get deeper into the architecture, I want to talk about something that is directly related to what we're discussing. Because if you're watching this video, you're clearly someone who is paying attention to where AI is going. You understand that AI agents are about to change how work gets done. Digital Optimus is literally an AI agent that does computer work autonomously. So the question becomes, how do you make sure you know how to build and use AI agents before they replace the tasks you're getting paid for? This is where Outskill comes in, the sponsor of today's video, which is hosting a 2-day live AI mastermind this weekend on Saturday and Sunday, 10:00 a.m. to 7:00 p.m. Eastern. That's 16 hours of content with over a 100 practitioners from companies like Nvidia and Microsoft. These are the people actually building these tools. They're going to walk you through building AI agents, automating workflows, connecting tools together, and saving hours every single week. The sign up is free for the first 1,000 people. And on top of that, just for signing up, you get an AI survival hackbook. And you also get access to a personalized AI toolkit builder that helps you figure out exactly which AI tools you should be using for your specific workflow, plus an AI prompt bible that teaches you how to actually communicate with these systems effectively. All of that is part of over $5,000 in bonuses just for registering. They've got 4.9 out of five on Trustpilot with over 10 million learners, and they're active in over a 100 countries. I'll put the link in the description and in the pin comment below. Now, back to Digital Optimus. So, what does Digital Optimus actually do? I want to split this into two pieces because there are actually two brains working together here. The first brain is Grock. Grock is XAI's large language model. Think of it like Chat GPT but built by Elon's team. Grock acts as a conductor. It's the navigator, the highle thinker. In AI terms, this is called system 2 thinking. the slow, deliberate, deep reasoning that humans use when they're solving a hard math problem or planning a business strategy. Grock handles the big picture stuff. It understands context. It understands the world. It can plan multi-step sequences and reason about what needs to happen next. The second brain is digital optimist itself. This is the brain that executes the hands and eyes. In AI terms, this is the system one thinking, the fast automatic reactive processing. Like when you're driving and you instinctively break when someone cuts you off, as an example, you don't just sit there analyzing the situation, you just react. Or when you're playing a sport. Digital Optimus watches the last 5 seconds of real-time screen video per Elon, literally watching your computer screen like a human would, plus every keyboard and mouse action. Then it instantly clicks, types, scrolls, and navigates based on what it sees. In theory, it would be a real time, no lag, no delay action. So the way this works together is pretty elegant actually. Digital Optimus is running locally, doing the vast majority of the work on its own on those AI4 chips in the Teslas, watching screens, clicking buttons, filling out forms, navigating software. But when it hits something complex, when it needs to reason about a decision or plan a multi-step workflow or understand something that requires realworld knowledge, it pings Grock in the cloud. Grock thinks about it, sends back the answer, and Digital Optimus keeps executing. So, let me give you a more concrete example. Say you need to reconcile an expense report in your company's accounting software. Digital Optimus opens the app, reads the screen, scrolls through the entries, cross references the receipts, fills in the field, flags anomalies, all of that is local and that can be done fast real time with zero latency. But when it hits a line item that looks weird, maybe a vendor name doesn't match, maybe the amount seems off by a factor of 10, that's where it calls Grock. Grock receives that data from Digital Optimus and then reasons about the context. Is this a currency conversion issue? Is it maybe a known vendor with a name change? Then Grock sends back the judgment call and Digital Optimus executes on that direction and then it keeps going. The whole exchange takes a fraction of a second in theory. And so if you extrapolate this further, this means that they've designed this to emulate entire companies. That's literally why the name is Macro hard because in theory you could have a fleet of these agents running the equivalent of an entire Microsoftsized operation or bigger without the overhead of tens of thousands of employees. Now why does this matter so much? Why is this different from what Claude or ChatPT already offer with their computer use agents? Because of where it runs. That distinction changes absolutely everything about the economics. When you use Claude's computer use or OpenAI's operator or any of these cloud-based AI agents, which are very, very impressive, the way they work is that they take a screenshot of your screen, they send it up to the cloud, the AI looks at it, decides what to do, sends back a command, your computer then executes it, then takes another screenshot, and then sends it back up. Every single action requires a round trip to the cloud. That means latency, and it's also a little bit slow. That means it costs a lot more money as well per action because you're using expensive cloud compute for every single click. In theory, Digital Optimus flips this completely. It runs locally on Tesla's AI4 chip and one would presume on Tesla's much more advanced chips in the years to come as well, like AI5 and AI6 and so on. This is the same chip that runs full self-driving   


in their cars. And that chip costs about $650, which is at least half the price of competitors for similar chips. and oftentimes significantly less. So what does that look like in practice? You park your Tesla, you tap in from your laptop, your screen and your inputs stream to the car. Digital Optimus picks it up and starts doing your digital work. Clicking through software, responding to emails, filling out reports, navigating databases, whatever you need. The vast majority of that processing happens right there in the car on the AI4 chip with zero cloud latency. Only when it hits a really hard reasoning problem does it ping Grock in the cloud for help. And most of the time, in theory, it's running completely locally. Isn't that freaking like how did the car turn into a brain all of a sudden? And check this out. Here's the crazier part. Okay, the same system that has learned how to read the visuals in the real world in the car to learn how to drive is being used to learn how to read the visuals on a screen to learn how to interface with a computer. The implications of this are freaking massive because the cost model is completely different from everything else in the market. Cloud-based agents charge you per action, per token, or per API call, but Digital Optimus runs on a $650 chip that's already in the car. The marginal cost of each action is essentially electricity and that's it. There's no cloud company charging you for each token of intelligence that it serves. In theory, as long as you have a Tesla car, you have a local AI machine. Compare that to paying OpenAI or Enthropic or Google per task for cloud inference. But it's not just cost either. It's speed, real-time vision processing. There's going to be real-time action. And there's not going to be any waiting for screenshots to upload or waiting for cloud responses to come back. Or in the craziest scenarios, if the cloud is down, you're screwed. Like we've all been experiencing lately, especially with the war in Iran with them freaking hitting those data centers in the Middle East. Unless they hit your freaking car in the driveway. In theory, hopefully that never happens. Then you have a machine locally that's always running AI. Literally, it's watching your screen like a human watches the screen continuously in real time and acting on what it sees with the same kind of instant responsiveness in theory. Now, real quick, 80% of you that watch my channel often aren't subscribed. And the easiest way to support what I do is just by clicking subscribe. It's completely free and it takes 1 second and it goes a long way to support this channel and to show these videos to other people that would be interested in this information. Thank you so much. Thank you. Now, let me get to the part that actually made me lose my mind if my mind hasn't freaking, you know, been blown already. Tesla is now somewhat officially shipping its own proprietary Aentic AI model purposebuilt for their chips. And it's not an off-the-shelf model. This is not OpenAI's model running on Tesla's hardware or OpenClaw running on everyone's hardware. This is Tesla's own model designed from the ground up to run on their specific silicon built for edge inference optimized for real-time vision and action on that exact chip architecture. Why does that matter? Because nobody else has this combination. Nobody has both the real-time edge hardware deployed at scale and a Grock level intelligence model in the cloud working together as one integrated system. You've got companies with great cloud AI but no edge hardware in millions of devices. You've got companies with great hardware but no AI model that can actually do agentic work. Apple Tesla and XAI have both together integrated from the ground up. Okay, so now I need you to pay very close attention. This is the key massive gigantic takeaway from this entire video. Elon Musk is creating one shared AI architecture to power everything. The same core AI architecture that runs full self-driving. The system that watches the road through cameras, identifies objects, makes driving decisions, navigates intersections, handles highway merges. That same model is being adapted to power the physical Optimus robot. Tesla's humano robot that walks, picks things up, manipulates objects in the real world. And digital optimist, the AI agent that watches your screen and does your computer work. That's one model in three different products with FSD, Physical Optimus, and Digital Optimus. Think about what that means. Think about the insane possibilities. every mile driven by every Tesla on Earth, every stop sign, pedestrian, weird edge case at a construction zone, a cat running across the street. All that training data doesn't just make FSD better at driving. It makes the underlying model smarter. It makes it more capable and better at understanding the actual world in real time decision-making about what to do. Every task the physical Optimus robot performs in a factory, every box it picks up, a tool that it manipulates, every time it navigates around an obstacle, every time somebody tries to kick it, that data feeds back into the same model, making it smarter, more capable, better at understanding physical reality and taking action. Every digital task that digital optimist completes on a screen, every button it clicks, form it fills out, workflow it navigates, that data feeds back into the same model. They all improve together automatically. There's no separate training pipelines. There's no separate teams building separate models for separate products. One unified brain that gets better at everything simultaneously because it's the same brain deployed across three different form factors. I genuinely don't think people understand how freaking crazy this is. The model that learns to recognize a stop sign in a snowstorm also gets better at recognizing a button on a screen. The model that learns to pick up an irregularly shaped object with robot fingers in a factory also gets better at navigating an unfamiliar software interface because the underlying capabilities with vision, spatial reasoning, decision making, realtime action are the same capabilities across all three. All three run on the same Tesla chip which Tesla manufactures at scale already which means they get the cost benefits of massive production volume. The same chip in millions of cars is the same chip in the Optimus robot which is the same chip running digital Optimus. It's one chip family on one model family and they're all improving together. And the same chip is going to power Tesla's and SpaceX's solar powered AI satellites in space in sun-synchronous orbit, which will beam quasi infinite intelligence back to Earth. And then Tesla's probably going to get into freaking drones at this point. Like this is seriously freaking insane, objectively. Now, let me talk about power and scale. A parked Tesla has a battery. It has stored energy. If it's plugged in, it has continuous power. So, when your car is sitting in your garage running digital Optimus, it's either drawing from battery or from your wall outlet. Either way, the power cost is minimal compared to renting cloud compute from a data center as long as you own a Tesla. But Tesla is thinking way bigger than just parked cars. According to Elon, they have something like 7 gawatt of spare power capacity across their supercharger network. If that number is even close to accurate, that's a ridiculous amount of energy. The idea being floated is to use the infrastructure they've already built for dedicated AI inference at supercharger locations. So you'd have thousands of locations around the world in theory each with dedicated digital Optimus hardware running 24/7 on power that Tesla has already has access to. And those chips don't have to be in a car necessarily. They can just sit on site on these charging locations. You basically have many inference data centers in theory at every supercharger location. That's a distributed AI compute network that they can build on top of infrastructure they've already deployed. Now consider the physical Optimus angle on this. When an Optimus robot isn't doing physical work, when it's idle, when it's on break, when the factory shift is over, it can plug in and run digital Optimus as well. It's in the same chip. Remember, it's the same brain. The robot that was assembling the car parts during the day is now doing your spreadsheets at night or whatever because it's the same AI running on the same hardware. It just switches from physical tasks to digital tasks. So when you add it all up, park Teslas, potential supercharger compute, idle Optimus robots, you're looking at potentially millions of edge AI compute nodes, all running on the same chip, all sharing the same model, all improving together with every task completed. across the entire network. Now, let me get into the final layer of this whole thing, which I teased a little bit earlier. And honestly, I saved this for last because it sounds the most like science fiction. As if this whole thing doesn't already sound like science fiction, but this is literally the plan. You ready? The AI4 chip family, the same chips going into cars, robots, and digital Optimus units. That same chip architecture is heading to space. SpaceX is planning a constellation of AI satellites, potentially millions of them, in orbit. These satellites would be solarp powered. In orbit, you have direct sunlight essentially 24/7 in suns synchronous orbit. There are no clouds up there or atmosphere or nighttime on the sunfacing side. And so that's free continuous energy. On the other side of the satellite, you're facing the vacuum of space, which is the best heat sink in the universe. One of the biggest challenges with running AI chips is cooling them, keeping them from overheating. In space, you radiate heat away into the vacuum for free. Free power on one side, free cooling on the other side. So, you've got solarp powered AI compute running on Tesla designed chips deployed by SpaceX rockets orbiting Earth and processing AI workloads continuously, and they're connected to each other and to the ground via Starlink communication network, a space-based AI data center that runs on free energy and free cooling and never stops. Now, the chips for all of this, the cars, the robots, the digital optimists, the space satellites, where do they get manufactured? That's a lot of chips. But Tesla has said they need to build what they're calling a terrafab, a massive semiconductor fabrication facility. The goal is for Tesla to design and manufacture their own AI chips long term with AI5, AI 6, AI7, and beyond in their own factories. Full vertical integration from chip design to chip fabrication to chip deployment. There's now a stack where one company designs the silicon and the same company manufactures the silicon. The same company puts it in cars that drive themselves and the same company puts in robots that work in factories and that same company builds the rockets that launch those satellites and that same company operates the communication network that connects all of them to do work in the digital world. Everything runs on the same model and gets smarter every time. Again, I need to reiterate this. Everything runs on the same model that gets smarter every time any device in the entire network completes any task. What the hell kind of company is that? I mean, you really have to sit with that. That's obviously not a tech company. It's not even a collection of tech companies. That's a vertically integrated AI civilization stack. From sand to silicon to satellite, everything is connected. Everything is learning from everything else. I talk about unbelievable disruptions like these on my new book, Abundance or Collapse, which talks about the coming AI age, and all the disruption that it will bring. My goal is to help you be on the winning side of the coming supersonic tsunami, as Elon Musk likes to call it. Links for that in the description below. Thank you. Now, look, I could obviously be wrong about this entire video. I could be wrong about how fast all of this comes together. Elon's timelines are famously optimistic, and that's being generous. Could Digital Optimus take longer than expected, especially to reach full capability? Of course. Could the tariff app take longer to come online than projected? Obviously, it probably will. Could the Space AI satellites be a decade away instead of a few years? Of course, maybe even longer. But the direction, the vision, the integrated stack of hardware and software and energy and manufacturing and intelligence all flowing through one architecture that is inevitable. You can see the pieces being built right now, but maybe it's never. Maybe it just all falls apart. Maybe it's too complex. and unifying all these systems is beyond what any organization is capable of. Even one that's run by Elon Musk. And I have to be honest about that possibility. But even if half of the vision comes together, even half, the implications for Tesla's value, for the labor market, for energy infrastructure, for the global economy are almost impossible to overstate. Why do you think Elon keeps saying by 2030 we'll have a hundred trillion dollar company? Huh? What? Maybe this is why we have to remember we're talking about the guy that's made it a career to come up with freaking impossible missions that end up becoming reality. It's objectively a very wild time to be alive. But given all this, also think about it from a jobs perspective because that's the part that people need to take seriously. If digital optimist can handle the basic digital tasks that millions of people do every day like data entry or customer service or chatting or form processing, email management, scheduling, report generation, analysis, the economics become very clear very fast. A human worker doing those tasks costs what probably like $40 to $60,000 a year in the US maybe more with benefits and overhead probably. digital Optimus running on a $650 chip, using a few dollars of electricity per day, operating 24/7 without breaks or sick days, the cost per task goes to essentially zero. Now, I'm not saying everyone's getting replaced tomorrow. I'm not one of those freaking doom people. But what I'm saying is that if you're going purely digital, repeatable work right now, the kind of work where you follow a process, click through screens, fill out forms, move data from one system to another, you need to be paying very close attention to this. The window to get ahead of it is right now, not in two years, not when it's already deployed. Right now, that's why I talk about this deeply in my book. The people who learn how to build and work alongside AI agents are going to be the ones who thrive. The people who ignore it, I honestly worry about them. I genuinely do. And the least everyone can do is just to be on top of everything that's going on right now with AI. Thank you so much for watching. I hope this was informative and helpful.