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How to create an energy revolution: science, manufacturing, scale, execution At last year's All-In Summit 2025, Bob Mumgaard explained how the world could change if we solve fusion energy. So, what happens if it works? "If you do this, you end up with a new type of power plant."...

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Dusty Greene1 yıl önce

@allinsummit @BobMumgaard Maybe we should also just remove red tape from the current nuclear innovations that we already have but just haven't been allowed to use 🤷🏻‍♂️

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Martha Johnson1 yıl önce

@allinsummit @BobMumgaard Opinion: Save the environment. Produce affordable energy at low cost. Great idea. Will investors get a return on their money? Will they recoup the cost to build it, R&D, etc.? Will government regulate it to death? Who has the guts to build and use the first one? Fascinating.

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Mark Stewart Maricopa County Supervisor District 11 yıl önce

@allinsummit @BobMumgaard Great segment! If we can solve the energy challenge, we can change the world.

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Trevor Battles1 yıl önce

@allinsummit @BobMumgaard Wish this was happening in a different city

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Just in $AMD Anush "Speed is the moat"|ROCm🎙️ In the race to define the future of AI, what's the one advantage that truly lasts? It's not proprietary tech, argues Anush Elangovan Elangovan, VP of AI Software at AMD , but the sustainable speed of innovation. He explains why AMD is rejecting the "walled garden" model for its open source ROCm stack, betting that an open community flywheel is the key to victory. Listen to understand how this open strategy is designed to out-innovate closed systems by empowering developers to solve everything from frontier-model challenges to the mundane, everyday problems that define the "last mile" of AI. AMD ROCm Software: Part 1 Transcript [00:00:00] Andrew Zigler: Joining me is Anush Elangovan, VP of AI software at AMD. And when people talk about AI compute, the conversation often stops at hardware specs, but it's more than just physical chips that win the game. It's also the software ecosystems supporting them. [00:00:18] Andrew Zigler: The prevailing strategy in the industry has been to build something like a walled garden. You know, something closed, proprietary locks, developers in. But AMD is betting on an entirely different play, open source acceleration, and with rock, their open source AI software stack. AMD is building not just hardware parity, but an innovation flywheel that's powered by the community with interoperability and the freedom to scale without all of that pesky lockin. [00:00:48] Andrew Zigler: And in this world, speed is your moat and how fast you can innovate while your platform remains open, flexible, and standardize across all of its applications. That's what we're gonna explore [00:01:00] today. So Anush, I'm really excited to have you here. Welcome to Dev Interrupted. [00:01:04] Anush Elangovan: Thanks for having me. Uh, super excited to chat about it. [00:01:07] Andrew Zigler: Amazing. Well, let's go ahead and dive right in with kind of what I laid it out with in the beginning, the idea of the moat and it being about speed. I wanna unpack that a bit because that came from you when you and I first spoke. And I, and I want to know, you know, how do you define speed inside of AMD beyond just things like hardware, benchmarks. [00:01:27] Anush Elangovan: Yeah, that's a very good question. So when we typically talk about speed, everyone's like, Hey, hardware benchmark specs, right? Like, uh, memory bandwidth or, or flops. And that is one important part of it, uh, AMD does very well. With that, we do have, a, a very good history of executing on that axis. [00:01:47] Anush Elangovan: But when I say speed is the moat, it is about, uh, how we prepare, how we build the muscle to run the race for a long time and run it fast. And it is [00:02:00] not about a single point in time that you've, you've beat some you know, benchmark and, and you declare victory. It's about building the ability to consistently develop and deliver. [00:02:13] Anush Elangovan: Both hardware and software innovation at scale and do it fast, right? Like, you know, we we're increasingly getting to a point where models come out and they're, uh, you know, a year or two ago it was like, Hey, they work on AMD on day zero, which is great, but now they are performing on AMD the day it releases, right? [00:02:32] Anush Elangovan: So, what does it take to Prefetch where the industry is going? Be prepared to intercept. At that point is what you know, I, I refer to as you know, the, the speed factor in, in creating this mode, right? And the mode is just shed all things that hold you back and run as fast as you can. [00:02:53] Anush Elangovan: Uh, because the pace of innovation that is, uh, being seen in, in AI [00:03:00] industries is just. Amazing. Right? And it's like, it's transformational at at how you generate electricity. It's transformational as at how you build data centers. It's transformational at how you deploy compute, networking. It's transformational at what kind of use cases you, you know, uh, use AI for. [00:03:17] Anush Elangovan: Uh, and for that, you need to be prepared to, see what comes tomorrow and be prepared to run the race tomorrow. [00:03:23] Andrew Zigler: Yeah, it's a really great perspective because it highlights that it's not just like a checkpoint that you run through. I like how you called out, like it's not just hitting that benchmark or being the best in class at that moment, in that snapshot, it's about having a. The throughput and about having that dedication to the idea and continuing to deliver on it. [00:03:43] Andrew Zigler: It's not just crossing the threshold, but it's also being the engine. And that's what, that's what protects a business. That is the moat, because the moat is that innovation layer, the faster and more, uh, future forward. That you can work and think, [00:04:00] you know, the better. Uh, we, we talk a lot about like future forward work styles. [00:04:04] Andrew Zigler: Like what are the things I could be doing right now today that are gonna be like, way more useful tomorrow? Let, let's abandon those, workflows that are older and that kind of like, that translates into. An advantage when you work that way. You know, what kind of things have you learned working with, uh, like across all spectrums of people who would use ROCm, right? [00:04:23] Andrew Zigler: You have like the developers, but then you also have the enterprises and you have this large span of adoptees, right? So what is the, what does that look like that you learn? [00:04:32] Anush Elangovan: Yeah, so, so the way I look at it is there are gonna be pockets of different, uh, you know, cadences, right? Like, so people who are deploying in enterprises, for example, right? The validation and how long it takes for them to deploy an LLM that's secure. It's, with guardrails, et cetera, maybe longer. [00:04:52] Anush Elangovan: but you still have to go through the process and you have to be prepared to like, walk that walk to deploy an enterprises. That doesn't mean it's [00:05:00] not fast, that's as fast as you can do for that industry, right? And if you are deploying AI in healthcare, right, it's, it's got its own, uh, cycle. [00:05:07] Anush Elangovan: but in each one of these, you want to see how, like, go down to the essence of what is it that you actually have to do. And, you know, I, I, I like how you framed it. It's like it's, you shed your prior assumptions of how things are done, right. And, and you kind of build up from a, uh, first principles, uh, approach to say, this is how I could use AI to unlock, whatever I'm doing. [00:05:33] Anush Elangovan: And, and, some of it, you know, it's good to really step back and look at. Just question every part of it, right? Like right now you're getting chat GPT and, Gemini competing for like, math, olympiads and, and, uh, college, uh, reasoning, uh, tests. Right? And, and those are like that, that is amazing and increasingly like complex tasks that they're trying to do. [00:05:58] Anush Elangovan: But there may also be like. [00:06:00] More mundane things that AI could, could get applied to. Right? And, and so when we think about shedding old ways, you wanna shed it not just in like the tip of the spear. It's like, you know, I'm gonna see what's the frontier model. It's also, it could be something as simple as. [00:06:18] Anush Elangovan: How do you choose a, a movie, uh, you know, like a recommendation system, right? Or, or, uh, an automated, uh, flight, uh, rebooking system. So the moment, you know, your flight is late, uh, right now it's a notification, right? It's like, oh, you got a text message saying your flight's late. And I got that like three times this week. [00:06:38] Anush Elangovan: But anyway, uh, and, and, and, and, I was just like, okay, so if I were to rethink this. All this MCPs that we have that should be hooked up into an MCP that says, your flight's delayed. Here are your options. If you want, you know, these are the paid options. Yeah. Here are the free options. This will get you back into your you know, Toronto airport [00:07:00] tonight. [00:07:00] Anush Elangovan: Or if you stay, here's a hotel plus this, plus this, plus. It's just like, go ahead is all I should say. Versus now I'm like, okay, can someone, you know, can I call a travel agent? Can I do this? Can I go online and log into And you know, so we gotta fundamentally rethink even those like small, nuances of, things that we do that can be automated out and AI is really, really good at doing something like this, right? Maybe I just explained an AI startup idea right now. Somebody should just start that. [00:07:29] Andrew Zigler: I think you did. Yeah, you definitely did. Someone, one of our listeners is definitely going to lift that off of you. I, I, I, you know, I hate being on the receiving end of those. You feel a little helpless and then you have to like, follow the whole flow. So I know what you mean. Like I, I like how you called out that the build and this like. [00:07:45] Andrew Zigler: Where speed is your moat and the innovation layer is protecting you, is what makes you better than your competitors. How you scale that and you bring that to market. So by understanding the problems that you're solving, uh, throwing away those older assumptions, but also [00:08:00] recognizing that like. We're building every single day, new things and new ways of using stuff that we're still figuring out the implications of. [00:08:08] Andrew Zigler: And so when you have a lot of velocity and you're introducing a lot of new ideas, and maybe you have that workflow now that automatically rebook your flight off of your late flight text message, and uh, I know I would certainly use it, but you know, what kind of philosophies guide the way that y'all think about building this ecosystem to manage that stability while letting folks. [00:08:29] Andrew Zigler: Play with the speed and the assumptions and the airplane re bookings. [00:08:34] Anush Elangovan: so, so I think, you know, we need to peel one layer down, right? and the philosophy is, Hey, we, we just discovered electricity, right? And you know what we're gonna do? We are gonna make motors, uh, or dynamos, right? Like engines. Uh, sure. We don't know if it's gonna be a Ferrari that you're gonna make, or it's a a a a dump truck. [00:08:57] Anush Elangovan: That's good for doing this. But let's [00:09:00] let, which is also required, right? You need a dump truck. You need a garbage truck. And, [00:09:04] Andrew Zigler: Yeah. You need the [00:09:04] Anush Elangovan: course you need, uh, a Ferrari for a midlife crisis, right? So, [00:09:09] Andrew Zigler: precisely. [00:09:10] Anush Elangovan: But, but my, uh, point is what do we build next? And, uh, and this is what I meant by like, okay, let's, let's take those baby steps to build the. [00:09:20] Anush Elangovan: Infrastructure that's required that we know we'll have to use, right? So, so if I just discovered electricity, okay, great. Now one, how do I save this electricity and how do I use it? So there's battery technology, so you need to do something like that, right? Like so. But then you also want to make it into an actionable thing. [00:09:37] Anush Elangovan: You want to make it for like automobiles, or you wanna use it for, you know, powering, uh, entire cities. So it is that transformational. So, uh, AI is that transformational. So, if you distill down, it'll, it'll come down to how do we think about, what we can do with this this fundamental technology that, We may not be aware of what it [00:10:00] is gonna unlock next, but at least you know the next step is clear, right? It's like a dense fog, you know, it's gonna be like, it, it's the right path. You see the light, but it's kind of like out there and, and the steps you're taking are concrete and you're like, okay, this is good. [00:10:16] Anush Elangovan: I, this is better than where I was or where we were. So we are moving forward. So you can build with the. Intuition from what you see in the short term and a tactical view, but towards what you think the future is gonna be. [00:10:28] Andrew Zigler: Right. You almost like we're all in this like fog of war, right? And like you said, you're reaching out and you're trying to step through it. You could think of it too, as like you're in the dark and your hands are up in front of you and you know that. You're, you're not gonna run your face into a wall because your hands are out in front of you, but you're not gonna maybe do much better than that. [00:10:45] Andrew Zigler: So that's kind of like, I think the eco, the, the industry, the world that we find ourselves in, uh, and we all have to, then this becomes the power of an ecosystem, of a group of people working together to create that layer of, [00:11:00] uh, of establishing the [00:11:01] Anush Elangovan: exactly. And I, I, I just, instead of, you know, saying fog of war I describe it as like, you're in this. Beautiful valley with like a morning, uh, fog that's in. You can smell the flowers. You, you hear the birds. You are like, okay, it's, we are in like, uh, utopian paradise and yes, I just need to like, continue the walk, right? [00:11:24] Anush Elangovan: and then move forward with that, conviction that you're in the right spot. [00:11:27] Andrew Zigler: Yeah. So let's talk about that ecosystem world. This nice, I love how you describe it, this grassy side of a hill in the morning that's covered in some mist and maybe we can't see 30 feet in one direction, but it sure is a beautiful hill and it smells nice. And so we're all here. And why is, in that world, why is. [00:11:44] Andrew Zigler: You know, open source, their strategic advantage that y'all are going for in the AI hardware market. And, and then how does like ROCm turn that into wins for people within that ecosystem? [00:11:56] Anush Elangovan: you know, the, the way we look at it is this, is kind of like how I view [00:12:00] AI and the ecosystem, right? But, but it is for everyone to enjoy. Uh, and so we do want to make sure that. You know, it is, uh, beneficial for everyone. [00:12:09] Anush Elangovan: The ecosystem can come in and, and innovate. It's an open innovation engine. and uh, it is very different from, you know, having a walled garden with, Hey, only I know how to do this and I'm gonna do it and throw it over the fence and you can use it or keep walking, right? So we'd like to be good citizens that way, but also. [00:12:30] Anush Elangovan: Uh, it is self-fulfilling in a way, right? Like it, the, the pace at which we innovate with open source is unmatched. Like, you know, our serving engines are like VLLM and, and sg l. Those things, uh, those frameworks are like super, super aggressive in terms of how fast they come out with features and how fast they can you know, get performant models out. [00:12:52] Anush Elangovan: And that compared with what, uh, you'd get from, you know, the likes of like T-R-T-L-L-M or something is always lagging, right? Because you [00:13:00] just can't keep up with you know, 200 commits a week just on one particular model to get that model really performant [00:13:06] Andrew Zigler: And, and, and in that world where, you know, everyone can enjoy the winds of this, what kind of customer stories or innovation stories have really stood out to you and excite you about building and creating this place for developers? [00:13:19] Anush Elangovan: Yeah. So I think the parts that are super exciting for me are when when we get to see a customer that is first skeptical. Then they start a little like, okay, fine, we'll give you a chance. Uh, we do a simple, uh, POC and then they're like, huh, this seems to work. Yeah, we told you it works. [00:13:42] Anush Elangovan: You don't have to change one line of code. Really? Yes, no need to change one line of code. Okay, let's try a production workload. So then they try it. Oh, you're more performant than the competition. Yes. We're more performant than, than the competition. So how much does it cost? And we're like, oh, it's your TCO is better with, uh, [00:14:00] AMD. [00:14:00] Anush Elangovan: So again, they're like, wow, okay, good. So now how do we deploy at scale? And then we go deploy it at scale. And when they give a thumbs up on that and they say, this is good, right? That's when you know, you, you see it go full circle from like, oh, we, we've never heard about AMD to like actually deploy to tens of thousands of GPUs In the order of a few months, right? It, it, it really is fascinating to see and very exciting and invigorating to [00:14:28] Andrew Zigler: Yeah. At like a great exposure to a lot of interesting problems. And, and then people using the infrastructure, the, the technology available to solve those problems. Really specific problems by the way, that's often why they're bringing their data and AI to it, uh, is because it is really specific and important for them. [00:14:45] Andrew Zigler: And there's a, a lot I think that other engineering orgs can learn and even emulate from AMD's success and, and having this open source ecosystem and it causing this acceleration within. You [00:15:00] know, uh, customers and enterprises that use and adopt the tools and, and, and that creates an advantage. And that goes back to why we're talking and like the real thesis of our conversation today. [00:15:10] Andrew Zigler: So how do you think engineering leaders that are listening to this and obviously tapping into this great success AMD has from an open source flywheel, how do you think other, other folks building in the same space can foster that open, first, that open source oriented culture in order to, you know, accelerate their innovation goals? [00:15:29] Anush Elangovan: Yeah, that's a very good question. So the startup that um, was acquired by AMD we, we built, I mean, we started off doing iot stuff and you know, smart ring and all that, right? But in the, the end of like, uh, and not the end, the last six years of the company was building ML compilers. [00:15:47] Anush Elangovan: And ml, ML compilers are like super, uh, complicated, sophisticated, advanced algorithms, dah, dah, dah. but it was all open source, right? So our VCs were like, wait, what do you mean your core [00:16:00] IP is open source? And um, the speed is the moat applied even then, right? It was just like, yes, if you have an idea that. [00:16:08] Anush Elangovan: Because someone saw this idea that you are, they're gonna be able to catch up, then you probably have the wrong idea anyway. But if they are, you know, you execute and they're gonna catch up, that you should assume they're gonna catch up. Right? So you gotta move forward. So keeping it open source is super important. [00:16:25] Anush Elangovan: But also to your question on like, you know, the learnings from an AMD standpoint, right? If there are, hard problems, I'd say dig in and work through it, right? Like there's no way but through it, right? That should be the simple mentality. And more, uh, frequently than not. you'll see that you'll just make it through in a, in, in good form. [00:16:52] Anush Elangovan: But if you doubt it and you're like, oh, I don't know if I should commit, if I'm, I, you know, what should just commit to do the right thing [00:17:00] every step, right? Every step, and just keep taking one step in front of the other. And in no time you'll see that you'll be running. Right. And, and yes, the first few steps will be like, yeah, everyone's complaining about your software quality. [00:17:15] Anush Elangovan: Everyone's complaining about this and that, and it doesn't work. And, and a few steps in, you know, you get, you get the hang of all the complaints that are coming in. You get the feedback loop. You're like, okay, what, what are you prioritizing again? One step in front of the other, right? You just keep knocking that out and then you get to a point where you're, it just becomes second nature, right? To do the, to do the right thing. And, and then yes, if someone gives you two options, you'll be like, fine. This is, uh, you know, there's always the resource trade off. There's always a human capital trade off, but what's the right thing to do? of course, I, I'm pragmatic about what we choose, but, but if the right thing for your long-term success is dig in, go first, principles, make it [00:18:00] happen. [00:18:00] Anush Elangovan: Well. Then just go for that. There's, there is no shortcut to [00:18:04] Andrew Zigler: acknowledging, you know, how it aligns with your mission, your core company goals, and what you're looking to achieve. And, and I, I love how you rightfully called out that in the open source world and you know, you have your technology that you've built, what you think is your moat upon, right? [00:18:22] Andrew Zigler: It's your code and, and to open source that, or to just make it where anyone could peer in is, you know. Scary in one regard, but two, it just kind of feels like you're handing away your throne room in some kind of sense, a very direct feeling sense. But the ultimately, you were really right to call out, and this is something I think about all the time, that the real power there is still the speed This the speed. [00:18:42] Andrew Zigler: That was the moat at the beginning of our conversation. It's the speed in combination with your. Very specific domain understanding of what you're building and what you're creating, and your new role as the steward of that world and how people plug into it, which [00:19:00] has frankly, a lot more influence and power than lording over a closed. [00:19:04] Andrew Zigler: You know, repository or an ecosystem, and like you said, like throwing things over the wall. Sure. There, there might be people always on the other side of that wall, but you're not gonna have a great connection with them. You're not gonna be able to really clearly understand them. I, I like your metaphor of the side of the field of the mountain a lot more. [00:19:23] Andrew Zigler: But, but in the, in this world, you know, where. That speed is, is the power and, and open source is just one way that you can harness that speed to get really far ahead and to innovate. , There's other parts of this equation that you can be experimenting with too, and I'd love to pick your brain about them as a software leader and, and, and one of them is about looking forward and kind of understanding that future that we're all building towards and beyond today's models and hardware. [00:19:48] Andrew Zigler: You know, what do you see as the next major bottleneck or opportunity in the AI compute space? As, as you know, enterprises and folks start to get a little more mature about what's available to [00:20:00] them. [00:20:00] Anush Elangovan: Yeah, I think, the bottleneck and opportunity is, uh, what I'd call, call walking the last mile of ai. Right. Uh, and like I I, I gave you an example, uh, previously, but, but it's similar to that. It's like there are cases where Humans have so many, uh, things to do in your day. You know, like the, if we sit down and actually had a customer focus like, okay, these customers lives, I'm gonna save four hours of this customer's life. And if you actually sit down and look at all of that, it'll be. Easily automatable, easily you know, uh, applicable, uh, for ai, right? [00:20:39] Anush Elangovan: Like, but then making it happen is gonna take a little bit, right? It's like maybe it's, uh, paying your utility bill, right? Or something like that, right? Or, or, your healthcare explanation of benefits. Uh, like, I'm sure you get an explanation of benefits, and I'm like, I, I don't even know what that thing is. [00:20:55] Anush Elangovan: It's just like EOB and like. [00:20:57] Andrew Zigler: it's a big, a big old PDF. Yeah, [00:21:00] exactly. [00:21:01] Anush Elangovan: Like, like, I'm like great straight to the, uh, shredder, right? And but that could be, you know, automated with the ai, right? It, it, it'd be like, Hey, the summary of this thing is you went and visited this day. Everything is okay. Everything is paid for, so don't worry, it's not a bill. [00:21:17] Anush Elangovan: That again, the same, uh, thing, but the sense of what that information overload is could be. Digested by ai, uh, accumulated over time and retrieved when you need it. Like, I don't, I actually don't even need to know this EOB right now, unless of course, whenever I need to know it, that maybe, you know, like for some benefits I need to figure out what do, what did I do over the past year and how do I apply it? Source:
31:35

Just in $AMD Anush "Speed is the moat"|ROCm🎙️ In the race to define the future of AI, what's the one advantage that truly lasts? It's not proprietary tech, argues Anush Elangovan Elangovan, VP of AI Software at AMD , but the sustainable speed of innovation. He explains why AMD is rejecting the "walled garden" model for its open source ROCm stack, betting that an open community flywheel is the key to victory. Listen to understand how this open strategy is designed to out-innovate closed systems by empowering developers to solve everything from frontier-model challenges to the mundane, everyday problems that define the "last mile" of AI. AMD ROCm Software: Part 1 Transcript [00:00:00] Andrew Zigler: Joining me is Anush Elangovan, VP of AI software at AMD. And when people talk about AI compute, the conversation often stops at hardware specs, but it's more than just physical chips that win the game. It's also the software ecosystems supporting them. [00:00:18] Andrew Zigler: The prevailing strategy in the industry has been to build something like a walled garden. You know, something closed, proprietary locks, developers in. But AMD is betting on an entirely different play, open source acceleration, and with rock, their open source AI software stack. AMD is building not just hardware parity, but an innovation flywheel that's powered by the community with interoperability and the freedom to scale without all of that pesky lockin. [00:00:48] Andrew Zigler: And in this world, speed is your moat and how fast you can innovate while your platform remains open, flexible, and standardize across all of its applications. That's what we're gonna explore [00:01:00] today. So Anush, I'm really excited to have you here. Welcome to Dev Interrupted. [00:01:04] Anush Elangovan: Thanks for having me. Uh, super excited to chat about it. [00:01:07] Andrew Zigler: Amazing. Well, let's go ahead and dive right in with kind of what I laid it out with in the beginning, the idea of the moat and it being about speed. I wanna unpack that a bit because that came from you when you and I first spoke. And I, and I want to know, you know, how do you define speed inside of AMD beyond just things like hardware, benchmarks. [00:01:27] Anush Elangovan: Yeah, that's a very good question. So when we typically talk about speed, everyone's like, Hey, hardware benchmark specs, right? Like, uh, memory bandwidth or, or flops. And that is one important part of it, uh, AMD does very well. With that, we do have, a, a very good history of executing on that axis. [00:01:47] Anush Elangovan: But when I say speed is the moat, it is about, uh, how we prepare, how we build the muscle to run the race for a long time and run it fast. And it is [00:02:00] not about a single point in time that you've, you've beat some you know, benchmark and, and you declare victory. It's about building the ability to consistently develop and deliver. [00:02:13] Anush Elangovan: Both hardware and software innovation at scale and do it fast, right? Like, you know, we we're increasingly getting to a point where models come out and they're, uh, you know, a year or two ago it was like, Hey, they work on AMD on day zero, which is great, but now they are performing on AMD the day it releases, right? [00:02:32] Anush Elangovan: So, what does it take to Prefetch where the industry is going? Be prepared to intercept. At that point is what you know, I, I refer to as you know, the, the speed factor in, in creating this mode, right? And the mode is just shed all things that hold you back and run as fast as you can. [00:02:53] Anush Elangovan: Uh, because the pace of innovation that is, uh, being seen in, in AI [00:03:00] industries is just. Amazing. Right? And it's like, it's transformational at at how you generate electricity. It's transformational as at how you build data centers. It's transformational at how you deploy compute, networking. It's transformational at what kind of use cases you, you know, uh, use AI for. [00:03:17] Anush Elangovan: Uh, and for that, you need to be prepared to, see what comes tomorrow and be prepared to run the race tomorrow. [00:03:23] Andrew Zigler: Yeah, it's a really great perspective because it highlights that it's not just like a checkpoint that you run through. I like how you called out, like it's not just hitting that benchmark or being the best in class at that moment, in that snapshot, it's about having a. The throughput and about having that dedication to the idea and continuing to deliver on it. [00:03:43] Andrew Zigler: It's not just crossing the threshold, but it's also being the engine. And that's what, that's what protects a business. That is the moat, because the moat is that innovation layer, the faster and more, uh, future forward. That you can work and think, [00:04:00] you know, the better. Uh, we, we talk a lot about like future forward work styles. [00:04:04] Andrew Zigler: Like what are the things I could be doing right now today that are gonna be like, way more useful tomorrow? Let, let's abandon those, workflows that are older and that kind of like, that translates into. An advantage when you work that way. You know, what kind of things have you learned working with, uh, like across all spectrums of people who would use ROCm, right? [00:04:23] Andrew Zigler: You have like the developers, but then you also have the enterprises and you have this large span of adoptees, right? So what is the, what does that look like that you learn? [00:04:32] Anush Elangovan: Yeah, so, so the way I look at it is there are gonna be pockets of different, uh, you know, cadences, right? Like, so people who are deploying in enterprises, for example, right? The validation and how long it takes for them to deploy an LLM that's secure. It's, with guardrails, et cetera, maybe longer. [00:04:52] Anush Elangovan: but you still have to go through the process and you have to be prepared to like, walk that walk to deploy an enterprises. That doesn't mean it's [00:05:00] not fast, that's as fast as you can do for that industry, right? And if you are deploying AI in healthcare, right, it's, it's got its own, uh, cycle. [00:05:07] Anush Elangovan: but in each one of these, you want to see how, like, go down to the essence of what is it that you actually have to do. And, you know, I, I, I like how you framed it. It's like it's, you shed your prior assumptions of how things are done, right. And, and you kind of build up from a, uh, first principles, uh, approach to say, this is how I could use AI to unlock, whatever I'm doing. [00:05:33] Anush Elangovan: And, and, some of it, you know, it's good to really step back and look at. Just question every part of it, right? Like right now you're getting chat GPT and, Gemini competing for like, math, olympiads and, and, uh, college, uh, reasoning, uh, tests. Right? And, and those are like that, that is amazing and increasingly like complex tasks that they're trying to do. [00:05:58] Anush Elangovan: But there may also be like. [00:06:00] More mundane things that AI could, could get applied to. Right? And, and so when we think about shedding old ways, you wanna shed it not just in like the tip of the spear. It's like, you know, I'm gonna see what's the frontier model. It's also, it could be something as simple as. [00:06:18] Anush Elangovan: How do you choose a, a movie, uh, you know, like a recommendation system, right? Or, or, uh, an automated, uh, flight, uh, rebooking system. So the moment, you know, your flight is late, uh, right now it's a notification, right? It's like, oh, you got a text message saying your flight's late. And I got that like three times this week. [00:06:38] Anush Elangovan: But anyway, uh, and, and, and, and, I was just like, okay, so if I were to rethink this. All this MCPs that we have that should be hooked up into an MCP that says, your flight's delayed. Here are your options. If you want, you know, these are the paid options. Yeah. Here are the free options. This will get you back into your you know, Toronto airport [00:07:00] tonight. [00:07:00] Anush Elangovan: Or if you stay, here's a hotel plus this, plus this, plus. It's just like, go ahead is all I should say. Versus now I'm like, okay, can someone, you know, can I call a travel agent? Can I do this? Can I go online and log into And you know, so we gotta fundamentally rethink even those like small, nuances of, things that we do that can be automated out and AI is really, really good at doing something like this, right? Maybe I just explained an AI startup idea right now. Somebody should just start that. [00:07:29] Andrew Zigler: I think you did. Yeah, you definitely did. Someone, one of our listeners is definitely going to lift that off of you. I, I, I, you know, I hate being on the receiving end of those. You feel a little helpless and then you have to like, follow the whole flow. So I know what you mean. Like I, I like how you called out that the build and this like. [00:07:45] Andrew Zigler: Where speed is your moat and the innovation layer is protecting you, is what makes you better than your competitors. How you scale that and you bring that to market. So by understanding the problems that you're solving, uh, throwing away those older assumptions, but also [00:08:00] recognizing that like. We're building every single day, new things and new ways of using stuff that we're still figuring out the implications of. [00:08:08] Andrew Zigler: And so when you have a lot of velocity and you're introducing a lot of new ideas, and maybe you have that workflow now that automatically rebook your flight off of your late flight text message, and uh, I know I would certainly use it, but you know, what kind of philosophies guide the way that y'all think about building this ecosystem to manage that stability while letting folks. [00:08:29] Andrew Zigler: Play with the speed and the assumptions and the airplane re bookings. [00:08:34] Anush Elangovan: so, so I think, you know, we need to peel one layer down, right? and the philosophy is, Hey, we, we just discovered electricity, right? And you know what we're gonna do? We are gonna make motors, uh, or dynamos, right? Like engines. Uh, sure. We don't know if it's gonna be a Ferrari that you're gonna make, or it's a a a a dump truck. [00:08:57] Anush Elangovan: That's good for doing this. But let's [00:09:00] let, which is also required, right? You need a dump truck. You need a garbage truck. And, [00:09:04] Andrew Zigler: Yeah. You need the [00:09:04] Anush Elangovan: course you need, uh, a Ferrari for a midlife crisis, right? So, [00:09:09] Andrew Zigler: precisely. [00:09:10] Anush Elangovan: But, but my, uh, point is what do we build next? And, uh, and this is what I meant by like, okay, let's, let's take those baby steps to build the. [00:09:20] Anush Elangovan: Infrastructure that's required that we know we'll have to use, right? So, so if I just discovered electricity, okay, great. Now one, how do I save this electricity and how do I use it? So there's battery technology, so you need to do something like that, right? Like so. But then you also want to make it into an actionable thing. [00:09:37] Anush Elangovan: You want to make it for like automobiles, or you wanna use it for, you know, powering, uh, entire cities. So it is that transformational. So, uh, AI is that transformational. So, if you distill down, it'll, it'll come down to how do we think about, what we can do with this this fundamental technology that, We may not be aware of what it [00:10:00] is gonna unlock next, but at least you know the next step is clear, right? It's like a dense fog, you know, it's gonna be like, it, it's the right path. You see the light, but it's kind of like out there and, and the steps you're taking are concrete and you're like, okay, this is good. [00:10:16] Anush Elangovan: I, this is better than where I was or where we were. So we are moving forward. So you can build with the. Intuition from what you see in the short term and a tactical view, but towards what you think the future is gonna be. [00:10:28] Andrew Zigler: Right. You almost like we're all in this like fog of war, right? And like you said, you're reaching out and you're trying to step through it. You could think of it too, as like you're in the dark and your hands are up in front of you and you know that. You're, you're not gonna run your face into a wall because your hands are out in front of you, but you're not gonna maybe do much better than that. [00:10:45] Andrew Zigler: So that's kind of like, I think the eco, the, the industry, the world that we find ourselves in, uh, and we all have to, then this becomes the power of an ecosystem, of a group of people working together to create that layer of, [00:11:00] uh, of establishing the [00:11:01] Anush Elangovan: exactly. And I, I, I just, instead of, you know, saying fog of war I describe it as like, you're in this. Beautiful valley with like a morning, uh, fog that's in. You can smell the flowers. You, you hear the birds. You are like, okay, it's, we are in like, uh, utopian paradise and yes, I just need to like, continue the walk, right? [00:11:24] Anush Elangovan: and then move forward with that, conviction that you're in the right spot. [00:11:27] Andrew Zigler: Yeah. So let's talk about that ecosystem world. This nice, I love how you describe it, this grassy side of a hill in the morning that's covered in some mist and maybe we can't see 30 feet in one direction, but it sure is a beautiful hill and it smells nice. And so we're all here. And why is, in that world, why is. [00:11:44] Andrew Zigler: You know, open source, their strategic advantage that y'all are going for in the AI hardware market. And, and then how does like ROCm turn that into wins for people within that ecosystem? [00:11:56] Anush Elangovan: you know, the, the way we look at it is this, is kind of like how I view [00:12:00] AI and the ecosystem, right? But, but it is for everyone to enjoy. Uh, and so we do want to make sure that. You know, it is, uh, beneficial for everyone. [00:12:09] Anush Elangovan: The ecosystem can come in and, and innovate. It's an open innovation engine. and uh, it is very different from, you know, having a walled garden with, Hey, only I know how to do this and I'm gonna do it and throw it over the fence and you can use it or keep walking, right? So we'd like to be good citizens that way, but also. [00:12:30] Anush Elangovan: Uh, it is self-fulfilling in a way, right? Like it, the, the pace at which we innovate with open source is unmatched. Like, you know, our serving engines are like VLLM and, and sg l. Those things, uh, those frameworks are like super, super aggressive in terms of how fast they come out with features and how fast they can you know, get performant models out. [00:12:52] Anush Elangovan: And that compared with what, uh, you'd get from, you know, the likes of like T-R-T-L-L-M or something is always lagging, right? Because you [00:13:00] just can't keep up with you know, 200 commits a week just on one particular model to get that model really performant [00:13:06] Andrew Zigler: And, and, and in that world where, you know, everyone can enjoy the winds of this, what kind of customer stories or innovation stories have really stood out to you and excite you about building and creating this place for developers? [00:13:19] Anush Elangovan: Yeah. So I think the parts that are super exciting for me are when when we get to see a customer that is first skeptical. Then they start a little like, okay, fine, we'll give you a chance. Uh, we do a simple, uh, POC and then they're like, huh, this seems to work. Yeah, we told you it works. [00:13:42] Anush Elangovan: You don't have to change one line of code. Really? Yes, no need to change one line of code. Okay, let's try a production workload. So then they try it. Oh, you're more performant than the competition. Yes. We're more performant than, than the competition. So how much does it cost? And we're like, oh, it's your TCO is better with, uh, [00:14:00] AMD. [00:14:00] Anush Elangovan: So again, they're like, wow, okay, good. So now how do we deploy at scale? And then we go deploy it at scale. And when they give a thumbs up on that and they say, this is good, right? That's when you know, you, you see it go full circle from like, oh, we, we've never heard about AMD to like actually deploy to tens of thousands of GPUs In the order of a few months, right? It, it, it really is fascinating to see and very exciting and invigorating to [00:14:28] Andrew Zigler: Yeah. At like a great exposure to a lot of interesting problems. And, and then people using the infrastructure, the, the technology available to solve those problems. Really specific problems by the way, that's often why they're bringing their data and AI to it, uh, is because it is really specific and important for them. [00:14:45] Andrew Zigler: And there's a, a lot I think that other engineering orgs can learn and even emulate from AMD's success and, and having this open source ecosystem and it causing this acceleration within. You [00:15:00] know, uh, customers and enterprises that use and adopt the tools and, and, and that creates an advantage. And that goes back to why we're talking and like the real thesis of our conversation today. [00:15:10] Andrew Zigler: So how do you think engineering leaders that are listening to this and obviously tapping into this great success AMD has from an open source flywheel, how do you think other, other folks building in the same space can foster that open, first, that open source oriented culture in order to, you know, accelerate their innovation goals? [00:15:29] Anush Elangovan: Yeah, that's a very good question. So the startup that um, was acquired by AMD we, we built, I mean, we started off doing iot stuff and you know, smart ring and all that, right? But in the, the end of like, uh, and not the end, the last six years of the company was building ML compilers. [00:15:47] Anush Elangovan: And ml, ML compilers are like super, uh, complicated, sophisticated, advanced algorithms, dah, dah, dah. but it was all open source, right? So our VCs were like, wait, what do you mean your core [00:16:00] IP is open source? And um, the speed is the moat applied even then, right? It was just like, yes, if you have an idea that. [00:16:08] Anush Elangovan: Because someone saw this idea that you are, they're gonna be able to catch up, then you probably have the wrong idea anyway. But if they are, you know, you execute and they're gonna catch up, that you should assume they're gonna catch up. Right? So you gotta move forward. So keeping it open source is super important. [00:16:25] Anush Elangovan: But also to your question on like, you know, the learnings from an AMD standpoint, right? If there are, hard problems, I'd say dig in and work through it, right? Like there's no way but through it, right? That should be the simple mentality. And more, uh, frequently than not. you'll see that you'll just make it through in a, in, in good form. [00:16:52] Anush Elangovan: But if you doubt it and you're like, oh, I don't know if I should commit, if I'm, I, you know, what should just commit to do the right thing [00:17:00] every step, right? Every step, and just keep taking one step in front of the other. And in no time you'll see that you'll be running. Right. And, and yes, the first few steps will be like, yeah, everyone's complaining about your software quality. [00:17:15] Anush Elangovan: Everyone's complaining about this and that, and it doesn't work. And, and a few steps in, you know, you get, you get the hang of all the complaints that are coming in. You get the feedback loop. You're like, okay, what, what are you prioritizing again? One step in front of the other, right? You just keep knocking that out and then you get to a point where you're, it just becomes second nature, right? To do the, to do the right thing. And, and then yes, if someone gives you two options, you'll be like, fine. This is, uh, you know, there's always the resource trade off. There's always a human capital trade off, but what's the right thing to do? of course, I, I'm pragmatic about what we choose, but, but if the right thing for your long-term success is dig in, go first, principles, make it [00:18:00] happen. [00:18:00] Anush Elangovan: Well. Then just go for that. There's, there is no shortcut to [00:18:04] Andrew Zigler: acknowledging, you know, how it aligns with your mission, your core company goals, and what you're looking to achieve. And, and I, I love how you rightfully called out that in the open source world and you know, you have your technology that you've built, what you think is your moat upon, right? [00:18:22] Andrew Zigler: It's your code and, and to open source that, or to just make it where anyone could peer in is, you know. Scary in one regard, but two, it just kind of feels like you're handing away your throne room in some kind of sense, a very direct feeling sense. But the ultimately, you were really right to call out, and this is something I think about all the time, that the real power there is still the speed This the speed. [00:18:42] Andrew Zigler: That was the moat at the beginning of our conversation. It's the speed in combination with your. Very specific domain understanding of what you're building and what you're creating, and your new role as the steward of that world and how people plug into it, which [00:19:00] has frankly, a lot more influence and power than lording over a closed. [00:19:04] Andrew Zigler: You know, repository or an ecosystem, and like you said, like throwing things over the wall. Sure. There, there might be people always on the other side of that wall, but you're not gonna have a great connection with them. You're not gonna be able to really clearly understand them. I, I like your metaphor of the side of the field of the mountain a lot more. [00:19:23] Andrew Zigler: But, but in the, in this world, you know, where. That speed is, is the power and, and open source is just one way that you can harness that speed to get really far ahead and to innovate. , There's other parts of this equation that you can be experimenting with too, and I'd love to pick your brain about them as a software leader and, and, and one of them is about looking forward and kind of understanding that future that we're all building towards and beyond today's models and hardware. [00:19:48] Andrew Zigler: You know, what do you see as the next major bottleneck or opportunity in the AI compute space? As, as you know, enterprises and folks start to get a little more mature about what's available to [00:20:00] them. [00:20:00] Anush Elangovan: Yeah, I think, the bottleneck and opportunity is, uh, what I'd call, call walking the last mile of ai. Right. Uh, and like I I, I gave you an example, uh, previously, but, but it's similar to that. It's like there are cases where Humans have so many, uh, things to do in your day. You know, like the, if we sit down and actually had a customer focus like, okay, these customers lives, I'm gonna save four hours of this customer's life. And if you actually sit down and look at all of that, it'll be. Easily automatable, easily you know, uh, applicable, uh, for ai, right? [00:20:39] Anush Elangovan: Like, but then making it happen is gonna take a little bit, right? It's like maybe it's, uh, paying your utility bill, right? Or something like that, right? Or, or, your healthcare explanation of benefits. Uh, like, I'm sure you get an explanation of benefits, and I'm like, I, I don't even know what that thing is. [00:20:55] Anush Elangovan: It's just like EOB and like. [00:20:57] Andrew Zigler: it's a big, a big old PDF. Yeah, [00:21:00] exactly. [00:21:01] Anush Elangovan: Like, like, I'm like great straight to the, uh, shredder, right? And but that could be, you know, automated with the ai, right? It, it, it'd be like, Hey, the summary of this thing is you went and visited this day. Everything is okay. Everything is paid for, so don't worry, it's not a bill. [00:21:17] Anush Elangovan: That again, the same, uh, thing, but the sense of what that information overload is could be. Digested by ai, uh, accumulated over time and retrieved when you need it. Like, I don't, I actually don't even need to know this EOB right now, unless of course, whenever I need to know it, that maybe, you know, like for some benefits I need to figure out what do, what did I do over the past year and how do I apply it? Source:

Mike

14,195 görüntüleme • 7 ay önce

Lewis is so open here, please please give it a listen, so generous of him to share this with us and so inspiring 🥺 "When I'm at the racetrack, I'm in an environment where you have to be really guarded and protected. And then in my personal life, I mean, you can have lots of fun and be very creative and interact with people in a different way." "But I think it's really important to be happy and in a good place, away from the tracks. Then you arrive in a good place. If you're unhappy when you're away from it, you're often unhappy at the races." "So there's things that I've learned away from the track, from like social media, from podcasts, like breathing exercises, just about how to take care of yourself. Because these are not things that I was taught at school. I don't think there's actually anything that I learned at school that has benefited me. That I can apply. There was literally nothing that, and I think that's ultimately probably a problem with some of the education system. It doesn't necessarily prepare you for life, in terms of how to handle the mental pressures." "You know, mental health is such a huge issue around the world. And I, for one, also have been massively challenged in that area." "So learning new tools along the way, away from the race, has enabled me to arrive better prepared, better equipped, more able to deal with the pressures, the incoming assault or negativity. And then turning that into positivity and channeling that into something that I love, into racing." "Having something to be able to focus on, that's the privilege, that's how lucky I am to be racing. I think everyone needs to find a balance in life. But if you can find something that you're passionate about, take all this energy and focus onto something, it could be boxing, it could be, it could be a sport, it could be what you're studying. I think that's what we need to encourage lots of kids to be doing."
2:00

Lewis is so open here, please please give it a listen, so generous of him to share this with us and so inspiring 🥺 "When I'm at the racetrack, I'm in an environment where you have to be really guarded and protected. And then in my personal life, I mean, you can have lots of fun and be very creative and interact with people in a different way." "But I think it's really important to be happy and in a good place, away from the tracks. Then you arrive in a good place. If you're unhappy when you're away from it, you're often unhappy at the races." "So there's things that I've learned away from the track, from like social media, from podcasts, like breathing exercises, just about how to take care of yourself. Because these are not things that I was taught at school. I don't think there's actually anything that I learned at school that has benefited me. That I can apply. There was literally nothing that, and I think that's ultimately probably a problem with some of the education system. It doesn't necessarily prepare you for life, in terms of how to handle the mental pressures." "You know, mental health is such a huge issue around the world. And I, for one, also have been massively challenged in that area." "So learning new tools along the way, away from the race, has enabled me to arrive better prepared, better equipped, more able to deal with the pressures, the incoming assault or negativity. And then turning that into positivity and channeling that into something that I love, into racing." "Having something to be able to focus on, that's the privilege, that's how lucky I am to be racing. I think everyone needs to find a balance in life. But if you can find something that you're passionate about, take all this energy and focus onto something, it could be boxing, it could be, it could be a sport, it could be what you're studying. I think that's what we need to encourage lots of kids to be doing."

sim

26,076 görüntüleme • 8 ay önce

'To them, we could be like a fungus. Some might say, 'Look, if they were going to do harm to us, wouldn't they have done it by now?' I don't know. We think we're at the top of the food chain. What if, we're not?" (This is SO GOOD and worth your time. Kudos to Dr. Phil because this is one of the best I've seen from a mainstream voice in discussing the, potential, issues with Disclosure that something more advanced is on this planet with us. It was uploaded to his YT on May 8th of this year.) ~ Dr. Phil: "I mean, think about it. Doesn't it cause us to question the meaning of humanity and the cosmos? Wouldn't it change that? Wouldn't it cause us to have to reexamine philosophy, religion, personal worldviews? "Potential reframing of human exceptionalism that we base our value systems on, is that we're at the top of the food chain. That there is human exceptionalism. That we, as humans, are the be-all and end-all of this world. And then, all of a sudden, we find out, not true. To them, we could be like a fungus. "People have posed questions like, 'Well, if they're here, why haven't they talked to us? Why haven't they identified themselves to us?' It may be that we're so minuscule and irrelevant, why would they bother. "And so, the psychological impact on individuals, the individual effects, could result in acute stress, just being awestruck, unbelievable curiosity, and existential anxiety. Like, who are we? If we're not at the top of the food chain, if we're not the be-all and end-all of the Universe, then what are we? Are we like gum on the shoe of the superior beings? How would we explain all of that? "And so people would begin to look for coping strategies, immediately seeking information, spiritual exploration, figuring out how do I fit in? And then, in terms of community dynamics, the world, it could be very divisive. It could increase everything that we do, culturally, religiously, political identities. Rumors, and misinformation could flourish, especially on the web. Oh my God, can you imagine what would start flying around then? Making trusted communicators really crucial. And if there's a crisis of confidence with the government because they've lied to you for so long, where do you go to get real information? "And the long-term mental health aspects when you don't know the motives or the intent of these entities could create chronic worry, conspiracy thinking, paranoia, feelings of unbelievable inadequacy. Some may celebrate with renewed optimism, like 'Wow, look what we found! These people, if they can do all this, maybe they can cure all the diseases. They can come up with solutions to problems. This is great!' "How would governments react (laughs)? Russia, China, United States would all be scrambling to establish some kind of process for monitoring potential collaboration. Our intelligence communities would go crazy. Our Department of Defense, our science agencies would have to start redoing everything, revisiting risk assessment. "Of course, we would be trying to establish exchange programs. Maybe they're not even interested? Like I say, we could be like gum on their shoe. Who knows? How do you feel about that? "If they were to reveal themselves, what is their agenda? Some might say, 'Look, if they were going to do harm to us, wouldn't they have done it by now?' I don't know. If we're so insignificant, it doesn't matter, it could be irrelevant. But then, why are they here? Now you may think, 'Okay, Doctor Phil's finally gone over the high side. He's gone down nutball highway.' That's not what I'm telling you. "I'm saying the government knows more than they're telling us. My question is: Is it unsafe for the general population to know all of this? Would it create such anxiety and panic that it's more than people can handle? Because it would rewrite almost every value, every paradigm that we know. Because we think we're at the top of the food chain. What if, we're not? What does that mean? And how would you feel about that? "You really need to ask yourself those questions because I think we're getting ready, maybe not to meet someone from another galaxy, but I think we're getting ready to find out there are things that we can't explain, but do have in our possession. Evidence that we can explain with concepts we understand. The question is: How do you feel about it? Because that's the real story." (He briefly mentions Grusch in the full, video.)
5:26

'To them, we could be like a fungus. Some might say, 'Look, if they were going to do harm to us, wouldn't they have done it by now?' I don't know. We think we're at the top of the food chain. What if, we're not?" (This is SO GOOD and worth your time. Kudos to Dr. Phil because this is one of the best I've seen from a mainstream voice in discussing the, potential, issues with Disclosure that something more advanced is on this planet with us. It was uploaded to his YT on May 8th of this year.) ~ Dr. Phil: "I mean, think about it. Doesn't it cause us to question the meaning of humanity and the cosmos? Wouldn't it change that? Wouldn't it cause us to have to reexamine philosophy, religion, personal worldviews? "Potential reframing of human exceptionalism that we base our value systems on, is that we're at the top of the food chain. That there is human exceptionalism. That we, as humans, are the be-all and end-all of this world. And then, all of a sudden, we find out, not true. To them, we could be like a fungus. "People have posed questions like, 'Well, if they're here, why haven't they talked to us? Why haven't they identified themselves to us?' It may be that we're so minuscule and irrelevant, why would they bother. "And so, the psychological impact on individuals, the individual effects, could result in acute stress, just being awestruck, unbelievable curiosity, and existential anxiety. Like, who are we? If we're not at the top of the food chain, if we're not the be-all and end-all of the Universe, then what are we? Are we like gum on the shoe of the superior beings? How would we explain all of that? "And so people would begin to look for coping strategies, immediately seeking information, spiritual exploration, figuring out how do I fit in? And then, in terms of community dynamics, the world, it could be very divisive. It could increase everything that we do, culturally, religiously, political identities. Rumors, and misinformation could flourish, especially on the web. Oh my God, can you imagine what would start flying around then? Making trusted communicators really crucial. And if there's a crisis of confidence with the government because they've lied to you for so long, where do you go to get real information? "And the long-term mental health aspects when you don't know the motives or the intent of these entities could create chronic worry, conspiracy thinking, paranoia, feelings of unbelievable inadequacy. Some may celebrate with renewed optimism, like 'Wow, look what we found! These people, if they can do all this, maybe they can cure all the diseases. They can come up with solutions to problems. This is great!' "How would governments react (laughs)? Russia, China, United States would all be scrambling to establish some kind of process for monitoring potential collaboration. Our intelligence communities would go crazy. Our Department of Defense, our science agencies would have to start redoing everything, revisiting risk assessment. "Of course, we would be trying to establish exchange programs. Maybe they're not even interested? Like I say, we could be like gum on their shoe. Who knows? How do you feel about that? "If they were to reveal themselves, what is their agenda? Some might say, 'Look, if they were going to do harm to us, wouldn't they have done it by now?' I don't know. If we're so insignificant, it doesn't matter, it could be irrelevant. But then, why are they here? Now you may think, 'Okay, Doctor Phil's finally gone over the high side. He's gone down nutball highway.' That's not what I'm telling you. "I'm saying the government knows more than they're telling us. My question is: Is it unsafe for the general population to know all of this? Would it create such anxiety and panic that it's more than people can handle? Because it would rewrite almost every value, every paradigm that we know. Because we think we're at the top of the food chain. What if, we're not? What does that mean? And how would you feel about that? "You really need to ask yourself those questions because I think we're getting ready, maybe not to meet someone from another galaxy, but I think we're getting ready to find out there are things that we can't explain, but do have in our possession. Evidence that we can explain with concepts we understand. The question is: How do you feel about it? Because that's the real story." (He briefly mentions Grusch in the full, video.)

Joe Murgia

16,351 görüntüleme • 3 gün önce

FULL TRANSCRIPT OF ELON'S CYBERCAB AND ROBOVAN PRESENTATION 00:00 Welcome 01:16 Cybercab & Future of transportation 04:33 Cost 05:53 Timeline 07:13 Self-driving technology 10:05 Inductive charging 10:24 The cities of the future 11:04 Robovan 12:13 Optimus Welcome Welcome to the We, Robot party. We have quite a show for you tonight. I think you're going to like it. As you can see, I just arrived in the Robotaxi, the Cybercab. And there's 20 more where that came from. So they've been traveling, there's no people in them. As you can see, the car is just going by with no people. We have 50 fully autonomous cars here tonight. So you'll see model Y's and the Cybercabs, all driverless. You'll be able to take a ride in the Cybercab. There's no steering wheel or pedals. So I hope this goes well, we'll find out. You see a lot of sci-fi movies where the future is dark and dismal, where it's not a future you want to be in. So, you know, I love Blade Runner, but I don't know if we want that future. We want that duster he's wearing, but not the bleak apocalypse. We want to have a fun, exciting future that, if you could look in a crystal ball and see the future, you'd be like, yes, I wish I could be there now. That's what we want. Cybercab & Future of transportation So, when we think about transport today, there's a lot of pain that we take for granted, that we think is normal. Like having to drive around LA in 3 hours of traffic. Yeah, people that live in LA, I mean, you know, try to get from Pasadena to El Segundo during rush hour. You can fly to another city faster than you can get to LA. And you have to drive the whole way, unless you're in a Tesla. Of course, our Tesla already does quite well at this supervised self-driving. So, supervised full self-driving is actually working quite well. I'm sure there's people in the crowd who are using that. So, we'll move from supervised full self-driving to unsupervised full self-driving where the car, you could fall asleep and wake up at your destination. But there's also a challenge for a lot of people that cars cost too much. I mean, when you factor in everything that goes into a car and the car insurance and the car payments, storage of the car, it's very expensive. You say, like, how many hours a week are cars used? Your average passenger car is only used about 10 hours a week out of 168 hours. So, the vast majority of the time cars are just doing nothing. But if they're autonomous, they could be used, I don't know, five times more, maybe ten times more. So you could actually, for the same car, would have five times as much value, maybe ten times as much value. There's 168 hours in the week, and like I said, only ten of them are used for driving. And then, a bunch of those hours are looking for a parking spot, which can be pretty annoying at times. So, with autonomy, you get your time back. This is a very big deal. So it's not just, it'll save lives, like a lot of lives and prevent injuries. I think we'll see autonomous cars become ten times safer than a human. I mean, if you think of times past where there used to be an elevator operator in every elevator but once in a while, they get tired and accidentally shear somebody in half. Now, we have automated elevators. You just get an elevator and you press a button and you don't even think about it and it just takes you to the floor. And if you did see an elevator operator with a big relay switch, you'd be like, that's weird. That's how cars will be. And it's not just the lives saved in injuries, but if you think about the cumulative time that people spend in a car and the time that they will get back that they can now spend, well, I guess, on their phones or watching a movie or doing work or whatever you want to do you can think of the car in autonomous world as being like just little lounge. You're just sitting in a comfortable little lounge and you can do whatever you want while you're in this comfortable little lounge. And when you get out, you will be at your destination. So, yeah, it's gonna be awesome. Cost So, in fact, I think the cost of autonomous transport will be so low that you can think of it like individualized mass transit. The average cost of a bus per mile for a city, not the ticket price, because that is subsidized, but the average price is about a dollar a mile, whereas the cost of Cybercab we think probably over time, the operating cost is probably going to be around twenty cents a mile. Including taxes and everything else, it probably ends up being 30 or 40 cents a mile. And you will be able to buy one. And we expect the cost to be below $30,000. And I think there'll be an interesting business model where, let's say somebody is an Uber or Lyft driver today where they can actually sort of manage a fleet of cars and like, sort of manage, I don't know, 10, 20 cars and just take care of them. Like a shepherd tends their flock. You have a little flock of cars and you're the shepherd and you take care of your flock of cars. I think that would be pretty cool. I think it's going to be a glorious future. It's going to be really something special. Timeline We do expect actually to start fully autonomous unsupervised FSD in Texas and California next year. And that's obviously, that's with the Model 3 and Model Y. And then we expect to be in production with the Cybercab, which is really highly optimized for autonomous transport in probably, I tend to be a little optimistic with time frames, but in 2026. So, yeah, before 2027, let me put it that way. And we'll make this vehicle in very high volume. But well, before that, you will experience a robotic taxi via the Model 3 and Model Y program and model S and X, too. But the Model 3 and Y will achieve unsupervised full self-driving with permission, in wherever regulators essentially approve it. In the US, and then to follow outside the US. And Cybertruck, too. All our cars are basically, all cars that we make. Let's not get nuanced here. Self-driving technology One of the reasons why the computer can be so much better than a person is that we have millions of cars that are training on driving. It's like living millions of lives simultaneously and seeing very unusual situations that a person in their entire lifetime would not see. With that amount of training data, it's obviously going to be much better than what a human could be because you can't live a million lives. And it's also, it can see in all directions simultaneously and it doesn't get tired or text or any of those things. So, it will naturally be, like I said 10, 20, 30 times safer than a human, just for all those reasons. And I want to emphasize that the solution that we have is, AI and vision. So, there's no expensive equipment needed. The Model 3 and Model Y and S and X that we make today will be capable of full autonomy, unsupervised. And that means that our cost of producing the vehicle is low. Now, we are going to actually over-spec the computer for the Cybercab. So, our AI 5 computer will be somewhat over-spec'd because I think there's actually also an opportunity, sort of like an Amazon Web Services, where if the car is driving for 50 hours a week, there's still over 100 hours left and there's a potential there to have a massive amount of distributed inference compute, where if you've got like a fleet of 100 million vehicles and a kilowatt of efficient inference compute, you have 100 gigawatts of compute, which is really quite substantial. And if it's there, you might as well use it so that I think will make sense. So, our autonomous future is here. As I said, we've got 50 Teslas driving autonomously. We're trying to give you a sense of what cities will be like in the future. And when you get in, you'll see like, it's really quite a wild experience to just be in a car with no steering wheel, no pedals, no controls, and it feels great. So we have enough vehicles here, so everyone should be able to try it out and experience the set that we've built here. It's a very big set. So it's like really we've used I don't know, 20, 30 acres or something like that. It's really big. So, it goes on, the ride's long. And we set it up to feel like a ride, like a park ride. So, it'll be cool and you'll get to experience it tonight. Inductive charging Something we're also doing is and it's really high time we did this is inductive charging. So, the robotaxi has no plug. It just goes over the inductive charger and charges. So, yeah, it's kind of how it should be. The cities of the future One of the things that is really interesting is how will this affect the cities that we live in. And when you drive around a city, or when the car drives you around the city, you'll see there's a lot of parking lots. There's parking lots everywhere, parking garages. What would happen if you have an autonomous world is that you can now turn parking lots into parks. And so, from we're taking the inglot out of parking lot. You're welcome. So, there's a lot of opportunity to create green space in the cities that we live in. So, like, that would be quite fantastic. Robovan Oh, and also, what happens if you need a vehicle that is bigger than a Model Y? The Robovan. We're going to make this and it's going to look like that. Now, can you imagine going down the streets and you see this coming towards you? That'd be sick. So this can carry up to 20 people, and it can also transport goods. You can configure it for goods transport within a city. Or transport of up to 20 people at a time. The Robovan is what's gonna solve for high density. If you want to take a sports team somewhere or you're looking to really get the cost of travel down to, I don't know, 5, 10 cents a mile, then you can use the Robovan. One of the things we want to do, and we've seen this with the Cybertruck, is we want to change the look of the roads. The future should look like the future. Optimus Speaking of robots. Everything we've developed for our cars, the batteries, power electronics, the advanced motors, gearboxes, the software, the AI inference computer, it all actually applies to a humanoid robot. The same techniques. It's just a robot with arms and legs instead of a robot with wheels. We've made a lot of progress with Optimus. And as you can see, we started up with someone in a robot suit. And then, we've progressed dramatically, year after year. So, if you extrapolate this, you're really going to have something spectacular, something that anyone could own. So, you can have your own personal R2-D2-C3PO. And I think at scale, this would cost something like, I don't know, $20,000, $30,000, probably less than a car is my prediction, long-term. It'll take us a minute to get to the long term. But fundamentally, at scale, the Optimus robot, you should be able to buy an Optimus robot for, I think, probably $20,000 to $30,000, long-term. And what can it do? It'll basically do anything you want. It can be a teacher or babysit your kids, it can walk your dog, mow your lawn, get the groceries, just be your friend, serve drinks whatever you can think of, it will do. And, yeah, it's going to be awesome. I think this will be the biggest product ever of any kind, because I think everyone of the 8 billion people of Earth, I think everyone's going to want their Optimus buddy. And there's going to be maybe two. And then, they'll be producing products and services. I predict, actually, provided we address risks of digital superintelligence, 80% probability of good outcome, look on the bright side, the cup is 80% full, the cost of products and services will decline dramatically. And basically, anyone will be able to have any products and services they want. It will be an age of abundance the likes of which people have not, almost no one has envisioned. It will be something special. So now, one of the things we wanted to show tonight was that Optimus is not a canned video. It's not walled off. The Optimus robots will walk among you. Please, please be nice to the Optimus robots. You'll be able to walk right up to them and they'll serve drinks at the bar. I mean, it's a wild experience just to have humanoid robots and they're there, you're just in front of you. So yeah, with that, let's party!
15:37

FULL TRANSCRIPT OF ELON'S CYBERCAB AND ROBOVAN PRESENTATION 00:00 Welcome 01:16 Cybercab & Future of transportation 04:33 Cost 05:53 Timeline 07:13 Self-driving technology 10:05 Inductive charging 10:24 The cities of the future 11:04 Robovan 12:13 Optimus Welcome Welcome to the We, Robot party. We have quite a show for you tonight. I think you're going to like it. As you can see, I just arrived in the Robotaxi, the Cybercab. And there's 20 more where that came from. So they've been traveling, there's no people in them. As you can see, the car is just going by with no people. We have 50 fully autonomous cars here tonight. So you'll see model Y's and the Cybercabs, all driverless. You'll be able to take a ride in the Cybercab. There's no steering wheel or pedals. So I hope this goes well, we'll find out. You see a lot of sci-fi movies where the future is dark and dismal, where it's not a future you want to be in. So, you know, I love Blade Runner, but I don't know if we want that future. We want that duster he's wearing, but not the bleak apocalypse. We want to have a fun, exciting future that, if you could look in a crystal ball and see the future, you'd be like, yes, I wish I could be there now. That's what we want. Cybercab & Future of transportation So, when we think about transport today, there's a lot of pain that we take for granted, that we think is normal. Like having to drive around LA in 3 hours of traffic. Yeah, people that live in LA, I mean, you know, try to get from Pasadena to El Segundo during rush hour. You can fly to another city faster than you can get to LA. And you have to drive the whole way, unless you're in a Tesla. Of course, our Tesla already does quite well at this supervised self-driving. So, supervised full self-driving is actually working quite well. I'm sure there's people in the crowd who are using that. So, we'll move from supervised full self-driving to unsupervised full self-driving where the car, you could fall asleep and wake up at your destination. But there's also a challenge for a lot of people that cars cost too much. I mean, when you factor in everything that goes into a car and the car insurance and the car payments, storage of the car, it's very expensive. You say, like, how many hours a week are cars used? Your average passenger car is only used about 10 hours a week out of 168 hours. So, the vast majority of the time cars are just doing nothing. But if they're autonomous, they could be used, I don't know, five times more, maybe ten times more. So you could actually, for the same car, would have five times as much value, maybe ten times as much value. There's 168 hours in the week, and like I said, only ten of them are used for driving. And then, a bunch of those hours are looking for a parking spot, which can be pretty annoying at times. So, with autonomy, you get your time back. This is a very big deal. So it's not just, it'll save lives, like a lot of lives and prevent injuries. I think we'll see autonomous cars become ten times safer than a human. I mean, if you think of times past where there used to be an elevator operator in every elevator but once in a while, they get tired and accidentally shear somebody in half. Now, we have automated elevators. You just get an elevator and you press a button and you don't even think about it and it just takes you to the floor. And if you did see an elevator operator with a big relay switch, you'd be like, that's weird. That's how cars will be. And it's not just the lives saved in injuries, but if you think about the cumulative time that people spend in a car and the time that they will get back that they can now spend, well, I guess, on their phones or watching a movie or doing work or whatever you want to do you can think of the car in autonomous world as being like just little lounge. You're just sitting in a comfortable little lounge and you can do whatever you want while you're in this comfortable little lounge. And when you get out, you will be at your destination. So, yeah, it's gonna be awesome. Cost So, in fact, I think the cost of autonomous transport will be so low that you can think of it like individualized mass transit. The average cost of a bus per mile for a city, not the ticket price, because that is subsidized, but the average price is about a dollar a mile, whereas the cost of Cybercab we think probably over time, the operating cost is probably going to be around twenty cents a mile. Including taxes and everything else, it probably ends up being 30 or 40 cents a mile. And you will be able to buy one. And we expect the cost to be below $30,000. And I think there'll be an interesting business model where, let's say somebody is an Uber or Lyft driver today where they can actually sort of manage a fleet of cars and like, sort of manage, I don't know, 10, 20 cars and just take care of them. Like a shepherd tends their flock. You have a little flock of cars and you're the shepherd and you take care of your flock of cars. I think that would be pretty cool. I think it's going to be a glorious future. It's going to be really something special. Timeline We do expect actually to start fully autonomous unsupervised FSD in Texas and California next year. And that's obviously, that's with the Model 3 and Model Y. And then we expect to be in production with the Cybercab, which is really highly optimized for autonomous transport in probably, I tend to be a little optimistic with time frames, but in 2026. So, yeah, before 2027, let me put it that way. And we'll make this vehicle in very high volume. But well, before that, you will experience a robotic taxi via the Model 3 and Model Y program and model S and X, too. But the Model 3 and Y will achieve unsupervised full self-driving with permission, in wherever regulators essentially approve it. In the US, and then to follow outside the US. And Cybertruck, too. All our cars are basically, all cars that we make. Let's not get nuanced here. Self-driving technology One of the reasons why the computer can be so much better than a person is that we have millions of cars that are training on driving. It's like living millions of lives simultaneously and seeing very unusual situations that a person in their entire lifetime would not see. With that amount of training data, it's obviously going to be much better than what a human could be because you can't live a million lives. And it's also, it can see in all directions simultaneously and it doesn't get tired or text or any of those things. So, it will naturally be, like I said 10, 20, 30 times safer than a human, just for all those reasons. And I want to emphasize that the solution that we have is, AI and vision. So, there's no expensive equipment needed. The Model 3 and Model Y and S and X that we make today will be capable of full autonomy, unsupervised. And that means that our cost of producing the vehicle is low. Now, we are going to actually over-spec the computer for the Cybercab. So, our AI 5 computer will be somewhat over-spec'd because I think there's actually also an opportunity, sort of like an Amazon Web Services, where if the car is driving for 50 hours a week, there's still over 100 hours left and there's a potential there to have a massive amount of distributed inference compute, where if you've got like a fleet of 100 million vehicles and a kilowatt of efficient inference compute, you have 100 gigawatts of compute, which is really quite substantial. And if it's there, you might as well use it so that I think will make sense. So, our autonomous future is here. As I said, we've got 50 Teslas driving autonomously. We're trying to give you a sense of what cities will be like in the future. And when you get in, you'll see like, it's really quite a wild experience to just be in a car with no steering wheel, no pedals, no controls, and it feels great. So we have enough vehicles here, so everyone should be able to try it out and experience the set that we've built here. It's a very big set. So it's like really we've used I don't know, 20, 30 acres or something like that. It's really big. So, it goes on, the ride's long. And we set it up to feel like a ride, like a park ride. So, it'll be cool and you'll get to experience it tonight. Inductive charging Something we're also doing is and it's really high time we did this is inductive charging. So, the robotaxi has no plug. It just goes over the inductive charger and charges. So, yeah, it's kind of how it should be. The cities of the future One of the things that is really interesting is how will this affect the cities that we live in. And when you drive around a city, or when the car drives you around the city, you'll see there's a lot of parking lots. There's parking lots everywhere, parking garages. What would happen if you have an autonomous world is that you can now turn parking lots into parks. And so, from we're taking the inglot out of parking lot. You're welcome. So, there's a lot of opportunity to create green space in the cities that we live in. So, like, that would be quite fantastic. Robovan Oh, and also, what happens if you need a vehicle that is bigger than a Model Y? The Robovan. We're going to make this and it's going to look like that. Now, can you imagine going down the streets and you see this coming towards you? That'd be sick. So this can carry up to 20 people, and it can also transport goods. You can configure it for goods transport within a city. Or transport of up to 20 people at a time. The Robovan is what's gonna solve for high density. If you want to take a sports team somewhere or you're looking to really get the cost of travel down to, I don't know, 5, 10 cents a mile, then you can use the Robovan. One of the things we want to do, and we've seen this with the Cybertruck, is we want to change the look of the roads. The future should look like the future. Optimus Speaking of robots. Everything we've developed for our cars, the batteries, power electronics, the advanced motors, gearboxes, the software, the AI inference computer, it all actually applies to a humanoid robot. The same techniques. It's just a robot with arms and legs instead of a robot with wheels. We've made a lot of progress with Optimus. And as you can see, we started up with someone in a robot suit. And then, we've progressed dramatically, year after year. So, if you extrapolate this, you're really going to have something spectacular, something that anyone could own. So, you can have your own personal R2-D2-C3PO. And I think at scale, this would cost something like, I don't know, $20,000, $30,000, probably less than a car is my prediction, long-term. It'll take us a minute to get to the long term. But fundamentally, at scale, the Optimus robot, you should be able to buy an Optimus robot for, I think, probably $20,000 to $30,000, long-term. And what can it do? It'll basically do anything you want. It can be a teacher or babysit your kids, it can walk your dog, mow your lawn, get the groceries, just be your friend, serve drinks whatever you can think of, it will do. And, yeah, it's going to be awesome. I think this will be the biggest product ever of any kind, because I think everyone of the 8 billion people of Earth, I think everyone's going to want their Optimus buddy. And there's going to be maybe two. And then, they'll be producing products and services. I predict, actually, provided we address risks of digital superintelligence, 80% probability of good outcome, look on the bright side, the cup is 80% full, the cost of products and services will decline dramatically. And basically, anyone will be able to have any products and services they want. It will be an age of abundance the likes of which people have not, almost no one has envisioned. It will be something special. So now, one of the things we wanted to show tonight was that Optimus is not a canned video. It's not walled off. The Optimus robots will walk among you. Please, please be nice to the Optimus robots. You'll be able to walk right up to them and they'll serve drinks at the bar. I mean, it's a wild experience just to have humanoid robots and they're there, you're just in front of you. So yeah, with that, let's party!

Mario Nawfal

241,051 görüntüleme • 1 yıl önce

"If you go outside the studio right now and you find a rock that's the same size and you ask how much energy is in that nuclear energy? The answer is about 100 times more energy than the chunk of coal." "Every single rock that you pick up outside of the studio is as if you're holding a 100x chunk of coal in terms of energy. If you take those trace amounts of uranium and thorium, and you were to fully fission those in a fast reactor, you would get 100 times more energy, which is, to take our original example, enough to propel you about 30km... off of the Earth. So about a third of the way to space..." Isaiah Taylor - making nuclear reactors
9:39

"If you go outside the studio right now and you find a rock that's the same size and you ask how much energy is in that nuclear energy? The answer is about 100 times more energy than the chunk of coal." "Every single rock that you pick up outside of the studio is as if you're holding a 100x chunk of coal in terms of energy. If you take those trace amounts of uranium and thorium, and you were to fully fission those in a fast reactor, you would get 100 times more energy, which is, to take our original example, enough to propel you about 30km... off of the Earth. So about a third of the way to space..." Isaiah Taylor - making nuclear reactors

Shawn Ryan

300,512 görüntüleme • 1 yıl önce

Coinbase CEO Explains “Reverse Prompting” and the Rise of the AI CEO Brian Armstrong: “One of the big pushes we made in the last year was we got our own internal hosted AI model that was connected to all of our data sources, right?” “So it's like every Slack message, every Google doc, Salesforce data, Confluence, you know.” “So now the data is all aggregated and I've started to ask it really… it's not just like prompting it, ‘Hey, can you write this kind of memo for me,’ or something.” “I'm asking these AI agents now, ‘As CEO, what should I be aware of in the company that I might not be aware of?’ And it'll tell me, ‘Did you know that there's actually disagreement on this team about the strategy?’ And I was like, actually, I didn't know that.” “This is like reverse prompting. So instead of telling the AI agent what you want it to do, you ask it what you should be thinking more about.” @jason: “It's a mentor. It's a coach.” Brian: “Yeah. Like, what could make me a better CEO? And it's like, ‘Well, I looked at how you spent your time in the last quarter and here's how you said that you wanted to spend it, but you actually spent 32% of your time on this instead of 20%.’” “I've asked it other questions like, ‘What's the thing that I changed my mind on the most over the last year?’ Things like that.” “It'll prompt you with information you should be thinking about instead of the other way around.” Thanks to our partner for making this happen!: Our episode is sponsored by the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE 🏛.
1:16

Coinbase CEO Explains “Reverse Prompting” and the Rise of the AI CEO Brian Armstrong: “One of the big pushes we made in the last year was we got our own internal hosted AI model that was connected to all of our data sources, right?” “So it's like every Slack message, every Google doc, Salesforce data, Confluence, you know.” “So now the data is all aggregated and I've started to ask it really… it's not just like prompting it, ‘Hey, can you write this kind of memo for me,’ or something.” “I'm asking these AI agents now, ‘As CEO, what should I be aware of in the company that I might not be aware of?’ And it'll tell me, ‘Did you know that there's actually disagreement on this team about the strategy?’ And I was like, actually, I didn't know that.” “This is like reverse prompting. So instead of telling the AI agent what you want it to do, you ask it what you should be thinking more about.” @jason: “It's a mentor. It's a coach.” Brian: “Yeah. Like, what could make me a better CEO? And it's like, ‘Well, I looked at how you spent your time in the last quarter and here's how you said that you wanted to spend it, but you actually spent 32% of your time on this instead of 20%.’” “I've asked it other questions like, ‘What's the thing that I changed my mind on the most over the last year?’ Things like that.” “It'll prompt you with information you should be thinking about instead of the other way around.” Thanks to our partner for making this happen!: Our episode is sponsored by the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE 🏛.

The All-In Podcast

80,524 görüntüleme • 5 ay önce

WAKE UP AMERICA YOU ARE UNDER ATTACK ⛔️ Latest update on the WEF Maui, Lahaina Fires, Hawaii 🔥🚨 ‌ Legislation Passed in Hawaii RIGHT BEFORE & Lockheed Martin is one of the biggest donors of American Red Cross, who is also developing Weapons D.E.W's (Direct Energy Weapons) for Military ‌ “Because when I look at it, when you get into these things and you look at the history, you have so many stories which have been rewritten and then told the different thing. And then if we look at two things with the things with the governor, stuff with the governor and the things that was happening with the governor. ‌ Governor was passing bills just before this so that they can change the zoning. Think about this. They wanted to change the zoning before the event. Then the event occurs and then all of a sudden the people are going to lose their land or have their land taken from them from FEMA. And that's what FEMA does. FEMA comes in there so that they can try to say they're going to save you, just like the Red Cross. ‌ Baloney. And they're trying to say that they're going to help you when they're on the other side. If you look at the largest donator or one of the largest donators on the red Cross, it's Lockheed Martin. ‌ Lockheed Martin, THEY CREATE DEWs, DEWs (Direct Energy Weapons). So if you think about this, if the people who create the weapons are funding the people who come in after the destruction, then do you see what happens? It goes back and forth. And then in the meantime, a new story, a new fairy tale, a new history, whatever you want to say is written. ‌ We start to see this and they take over and then the history is completely lost and all the heritage is gone. The culture is gone. And they slowly keep doing this. AND THEYmVE DONE THIS SO MANY TIMES ‌ Just to see this, just to see just to to feel this through, you could feel the feel through the screen. You could feel it. You could see the pictures and know that something is so wrong ⚠️ ‌ #Hawaii #MauiFires #Lahaina
1:58

WAKE UP AMERICA YOU ARE UNDER ATTACK ⛔️ Latest update on the WEF Maui, Lahaina Fires, Hawaii 🔥🚨 ‌ Legislation Passed in Hawaii RIGHT BEFORE & Lockheed Martin is one of the biggest donors of American Red Cross, who is also developing Weapons D.E.W's (Direct Energy Weapons) for Military ‌ “Because when I look at it, when you get into these things and you look at the history, you have so many stories which have been rewritten and then told the different thing. And then if we look at two things with the things with the governor, stuff with the governor and the things that was happening with the governor. ‌ Governor was passing bills just before this so that they can change the zoning. Think about this. They wanted to change the zoning before the event. Then the event occurs and then all of a sudden the people are going to lose their land or have their land taken from them from FEMA. And that's what FEMA does. FEMA comes in there so that they can try to say they're going to save you, just like the Red Cross. ‌ Baloney. And they're trying to say that they're going to help you when they're on the other side. If you look at the largest donator or one of the largest donators on the red Cross, it's Lockheed Martin. ‌ Lockheed Martin, THEY CREATE DEWs, DEWs (Direct Energy Weapons). So if you think about this, if the people who create the weapons are funding the people who come in after the destruction, then do you see what happens? It goes back and forth. And then in the meantime, a new story, a new fairy tale, a new history, whatever you want to say is written. ‌ We start to see this and they take over and then the history is completely lost and all the heritage is gone. The culture is gone. And they slowly keep doing this. AND THEYmVE DONE THIS SO MANY TIMES ‌ Just to see this, just to see just to to feel this through, you could feel the feel through the screen. You could feel it. You could see the pictures and know that something is so wrong ⚠️ ‌ #Hawaii #MauiFires #Lahaina

Wall Street Apes

1,018,594 görüntüleme • 2 yıl önce

So called empty space isn't empty at all. It's full of energy, and that energy is electromagnetic in nature. When they calculated the amount of energy, they found it to be infinite, so they renormalized it. We don't feel this energy because we're in an equilibrium with it, but if conditioned correctly it can be harnessed. Atoms are sitting in a sea of energy.
1:55

So called empty space isn't empty at all. It's full of energy, and that energy is electromagnetic in nature. When they calculated the amount of energy, they found it to be infinite, so they renormalized it. We don't feel this energy because we're in an equilibrium with it, but if conditioned correctly it can be harnessed. Atoms are sitting in a sea of energy.

Ashton Forbes

20,347 görüntüleme • 2 ay önce

ELON MUSK: “The way to expand compute is really in space. There’s a lot of room in space. And if you look at the size of Earth relative to the Sun or relative to the Solar System, you realize just how tiny it is. We’re very, very tiny. We only receive about half a billionth of the Sun’s energy. So you can really think of Earth as being like a tiny dust mote in a vast darkness. So the way to expand compute without, you know, using up all the land on Earth is to do so in space. And then you can do it without using space for power and water on Earth; you can just do it in space. So I think we’ll probably be launching our first AI satellites next year, and then we’ll be able to do that, I think, at large scale in about two years.”
1:08

ELON MUSK: “The way to expand compute is really in space. There’s a lot of room in space. And if you look at the size of Earth relative to the Sun or relative to the Solar System, you realize just how tiny it is. We’re very, very tiny. We only receive about half a billionth of the Sun’s energy. So you can really think of Earth as being like a tiny dust mote in a vast darkness. So the way to expand compute without, you know, using up all the land on Earth is to do so in space. And then you can do it without using space for power and water on Earth; you can just do it in space. So I think we’ll probably be launching our first AI satellites next year, and then we’ll be able to do that, I think, at large scale in about two years.”

DogeDesigner

62,459 görüntüleme • 4 gün önce

ELON: HERE’S HOW WE’LL DOUBLE U.S. ELECTRICITY PRODUCTION “If you look at the total U.S. power generation capability, it's roughly a terawatt, but the average power usage is less than half a terawatt. That's because there are big differences in power usage between day and night. So, the daily and seasonal variations in power consumption mean that the United States, and really every country, is only producing about half as much electrical energy as it could. Because without batteries, there's no effective way to buffer the energy. So, what batteries actually enable is that even if you don't build any incremental power plants, you could double the energy output of the United States just with batteries. This is a super big deal. And, in fact, I think that's really where most of the incremental energy production in the United States is going to come from, is literally batteries. So, a bigger deal than it may seem.” Source: Elon Musk, Tesla Shareholder Meeting, November 6, 2025
0:52

ELON: HERE’S HOW WE’LL DOUBLE U.S. ELECTRICITY PRODUCTION “If you look at the total U.S. power generation capability, it's roughly a terawatt, but the average power usage is less than half a terawatt. That's because there are big differences in power usage between day and night. So, the daily and seasonal variations in power consumption mean that the United States, and really every country, is only producing about half as much electrical energy as it could. Because without batteries, there's no effective way to buffer the energy. So, what batteries actually enable is that even if you don't build any incremental power plants, you could double the energy output of the United States just with batteries. This is a super big deal. And, in fact, I think that's really where most of the incremental energy production in the United States is going to come from, is literally batteries. So, a bigger deal than it may seem.” Source: Elon Musk, Tesla Shareholder Meeting, November 6, 2025

Mario Nawfal

309,741 görüntüleme • 8 ay önce

"To any governors or state legislators out there, I don't know what the point of building up so much political capital is if you're not willing to use it in this particular moment. We cannot unilaterally disarm. So if you are in a position where you have the power to redraw your maps... if you have the ability to step up and meet this moment with the urgency that it deserves, I'm calling on you to do exactly what we're doing in California and to fight fire with fire." h/t Elex Michaelson
0:47

"To any governors or state legislators out there, I don't know what the point of building up so much political capital is if you're not willing to use it in this particular moment. We cannot unilaterally disarm. So if you are in a position where you have the power to redraw your maps... if you have the ability to step up and meet this moment with the urgency that it deserves, I'm calling on you to do exactly what we're doing in California and to fight fire with fire." h/t Elex Michaelson

Brian Tyler Cohen

102,367 görüntüleme • 8 ay önce

ELON MUSK: "We can make a moon base, and I think it'll be pretty cool if you could have a vacation on the moon, like that would be the most epic vacation. I think that will be possible in the future. And then Mars is another step beyond that. Mars is a whole planet, and with gravity much closer to that of Earth, and it has an atmosphere, and if you warm up Mars, you could one day make Mars like Earth, meaning with like liquid oceans and life, and where you could walk outside without a spacesuit type of thing."
1:34

ELON MUSK: "We can make a moon base, and I think it'll be pretty cool if you could have a vacation on the moon, like that would be the most epic vacation. I think that will be possible in the future. And then Mars is another step beyond that. Mars is a whole planet, and with gravity much closer to that of Earth, and it has an atmosphere, and if you warm up Mars, you could one day make Mars like Earth, meaning with like liquid oceans and life, and where you could walk outside without a spacesuit type of thing."

DogeDesigner

37,342 görüntüleme • 1 ay önce

Dear Nitesh SIR as everyone refers to you. Here’s wishing you a very happy birthday and the best year ahead in every way. We have come on this journey that’s hard to describe in words. Working with you so closely has been one of the best experiences of my life, so much to learn from you and see how you deal with everyone and everything with such clarity and with so much calm. Your understanding of the subject to your ease of telling the story and bringing it to life is incredibly fascinating and I really appreciate your approach in partnering with everyone with so much dignity and grace. Lots more power to you to bring the greatest story of our country to the people of the world with lots of positive energy and enthusiasm. Nitesh Tiwari
1:07

Dear Nitesh SIR as everyone refers to you. Here’s wishing you a very happy birthday and the best year ahead in every way. We have come on this journey that’s hard to describe in words. Working with you so closely has been one of the best experiences of my life, so much to learn from you and see how you deal with everyone and everything with such clarity and with so much calm. Your understanding of the subject to your ease of telling the story and bringing it to life is incredibly fascinating and I really appreciate your approach in partnering with everyone with so much dignity and grace. Lots more power to you to bring the greatest story of our country to the people of the world with lots of positive energy and enthusiasm. Nitesh Tiwari

Namit Malhotra

46,740 görüntüleme • 1 ay önce

My friend 0x45o asked me to use Grok 4 to create a game in C using Raylib. What it came up with is actually pretty cool. In "Echoes of the Unseen," you play as a Temporal Cartographer exploring a dark world that you can't see at first. Your primary tool is an Echo Pulse, which works like sonar. It temporarily shows the shape of the terrain and reveals essential objects, such as energy crystals and enemies. The main gameplay involves managing your limited Echo Energy to explore this unseen landscape. You can make areas solid and visible by permanently anchoring them. You will also use advanced tools to change gravity or create sound-based bridges. However, the world responds to how you play. If you act aggressively, it will create hostile entities based on your actions. If you use your powers too much, the environment can become unstable. This creates a dynamic exploration experience where your choices shape the world and its dangers.
0:35

My friend 0x45o asked me to use Grok 4 to create a game in C using Raylib. What it came up with is actually pretty cool. In "Echoes of the Unseen," you play as a Temporal Cartographer exploring a dark world that you can't see at first. Your primary tool is an Echo Pulse, which works like sonar. It temporarily shows the shape of the terrain and reveals essential objects, such as energy crystals and enemies. The main gameplay involves managing your limited Echo Energy to explore this unseen landscape. You can make areas solid and visible by permanently anchoring them. You will also use advanced tools to change gravity or create sound-based bridges. However, the world responds to how you play. If you act aggressively, it will create hostile entities based on your actions. If you use your powers too much, the environment can become unstable. This creates a dynamic exploration experience where your choices shape the world and its dangers.

Tetsuo

16,921 görüntüleme • 11 ay önce

🚨ELON MUSK: "Even with the rockets we're launching at the end of this year, it will be capable of making life multi-planetary...anyone who wants to move to Mars and build a new civilization can do so. How cool would that be? Even if you don't want to do that, maybe you have a son or daughter out there, or a friend who wants to do it, and I think that would be the best adventure that one could do, go and help build a civilization on a new planet."
1:01

🚨ELON MUSK: "Even with the rockets we're launching at the end of this year, it will be capable of making life multi-planetary...anyone who wants to move to Mars and build a new civilization can do so. How cool would that be? Even if you don't want to do that, maybe you have a son or daughter out there, or a friend who wants to do it, and I think that would be the best adventure that one could do, go and help build a civilization on a new planet."

Autism Capital 🧩

107,122 görüntüleme • 1 yıl önce

Elon Musk: A future of amazing abundance means that if you can think of it, you can have it. “Sustainable energy, space travel, AI and robotics will bring amazing abundance to everyone. It’s really the only path to amazing abundance. It's not to say it can’t go wrong, but I think it’ll probably go right. It’ll be a future that you love. It’s the best future I can think of. Then, we go beyond the Moon, beyond Mars, and sail through the Rings of Saturn. Wouldn’t it be amazing if you could take a trip to Saturn? Frankly, if you have a trip to Saturn, I think things will be free in the future. It sounds nuts, but if you’ve got an AI-robotics economy that is anywhere close to a million times the size of the current Earth economy, literally any need you possibly want can be met. If you can think of it, you can have it. Iain Banks in his Culture books has it pretty much right: there actually isn’t money in the future, and there’s abundance for everyone. If you can think of it, you can have it. That means anyone could have a trip to Saturn—it won’t be just a few people. If you want it, you can have it.” From: Terafab announcement, March 21, 2026
1:16

Elon Musk: A future of amazing abundance means that if you can think of it, you can have it. “Sustainable energy, space travel, AI and robotics will bring amazing abundance to everyone. It’s really the only path to amazing abundance. It's not to say it can’t go wrong, but I think it’ll probably go right. It’ll be a future that you love. It’s the best future I can think of. Then, we go beyond the Moon, beyond Mars, and sail through the Rings of Saturn. Wouldn’t it be amazing if you could take a trip to Saturn? Frankly, if you have a trip to Saturn, I think things will be free in the future. It sounds nuts, but if you’ve got an AI-robotics economy that is anywhere close to a million times the size of the current Earth economy, literally any need you possibly want can be met. If you can think of it, you can have it. Iain Banks in his Culture books has it pretty much right: there actually isn’t money in the future, and there’s abundance for everyone. If you can think of it, you can have it. That means anyone could have a trip to Saturn—it won’t be just a few people. If you want it, you can have it.” From: Terafab announcement, March 21, 2026

ELON CLIPS

10,193 görüntüleme • 3 ay önce

Whitney Webb "It sucks to find out that the mob runs the world... [so] do you want to say, screw you guys, we're going to... get off your... slave plantation?... [because] we can't really keep losing money and rights without being so deep in a hole that we can't... climb out" This clip of Webb (Whitney Webb), a contributing editor of Unlimited Hangout and author of One Nation Under Blackmail, is taken from an interview with Peter McCormack (The Peter McCormack Show) posted to YouTube on September 4, 2025. -----------------Partial transcription of clip-------------- "It's not just about burning it down, it's about putting something better in its place. Of course. And so I think the solutions there, you know, some people are like, oh, Whitney, your work is so demoralizing. Well, I'm like, yeah, it sucks to find out that the mob runs the world, you know, but the question is, or do you just want to let them keep running it because it bums you out, or do you want to say, screw you guys, we're going to build something else and get off your, you know, slave plantation? "And I am in the group of, I would like to build something else. I have three kids. I do not want them living in a world run by the mob. So what are you going to do about it? I mean, it starts locally, it starts with your community, because that's where we can actually affect change. Voting for left or right, blue or red. I mean, it's just this ping pong thing where nothing fundamental is changing. "And so to affect that change, we have to do it ourselves. And you think this would be a core American value? Individualism, individual responsibility. But a lot of people just don't care. And so, you know, that sucks. But I think those of us that do care need, to take steps to be as independent from the system as possible. Because every so often, this predator class, they do wealth transfers or they orchestrate and manufacture events and they make a big grab, not just for our money, but for our rights. And we're at the point where we can't really keep losing money and rights without being so deep in a hole that we can't climb ourself out. Can't climb out. "So what, what should we do before that happens? There is an important window of time to do something about it in our local community and for our families and our friends and our neighbors. And we have to do something because if we don't and that thing happens. Oh, well, I watched all these podcasts and learned about how corrupt everything is. But, you know, and I think they spend a lot of time trying to keep us distracted on all sorts of things and sucked into things that don't matter. So that we just don't give them the finger, basically. And that's what we really need to do."
2:12

Whitney Webb "It sucks to find out that the mob runs the world... [so] do you want to say, screw you guys, we're going to... get off your... slave plantation?... [because] we can't really keep losing money and rights without being so deep in a hole that we can't... climb out" This clip of Webb (Whitney Webb), a contributing editor of Unlimited Hangout and author of One Nation Under Blackmail, is taken from an interview with Peter McCormack (The Peter McCormack Show) posted to YouTube on September 4, 2025. -----------------Partial transcription of clip-------------- "It's not just about burning it down, it's about putting something better in its place. Of course. And so I think the solutions there, you know, some people are like, oh, Whitney, your work is so demoralizing. Well, I'm like, yeah, it sucks to find out that the mob runs the world, you know, but the question is, or do you just want to let them keep running it because it bums you out, or do you want to say, screw you guys, we're going to build something else and get off your, you know, slave plantation? "And I am in the group of, I would like to build something else. I have three kids. I do not want them living in a world run by the mob. So what are you going to do about it? I mean, it starts locally, it starts with your community, because that's where we can actually affect change. Voting for left or right, blue or red. I mean, it's just this ping pong thing where nothing fundamental is changing. "And so to affect that change, we have to do it ourselves. And you think this would be a core American value? Individualism, individual responsibility. But a lot of people just don't care. And so, you know, that sucks. But I think those of us that do care need, to take steps to be as independent from the system as possible. Because every so often, this predator class, they do wealth transfers or they orchestrate and manufacture events and they make a big grab, not just for our money, but for our rights. And we're at the point where we can't really keep losing money and rights without being so deep in a hole that we can't climb ourself out. Can't climb out. "So what, what should we do before that happens? There is an important window of time to do something about it in our local community and for our families and our friends and our neighbors. And we have to do something because if we don't and that thing happens. Oh, well, I watched all these podcasts and learned about how corrupt everything is. But, you know, and I think they spend a lot of time trying to keep us distracted on all sorts of things and sucked into things that don't matter. So that we just don't give them the finger, basically. And that's what we really need to do."

Sense Receptor

46,951 görüntüleme • 10 ay önce