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Realism over renders - NASA Administrator Jared Isaacman. Full interview available in a few hours. "Everything we do at NASA is pretty ambitious, right? I mean, it should be, we're NASA on that. "But we could have put this like, you know, wild 3D rendering of the glass dome...

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28,963 görüntüleme • 4 ay önce •via X (Twitter)

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"One of the most important KPIs is more people living and working in space." Jared Isaacman hopes his greatest contribution as NASA Administrator Jared Isaacman won’t be landing on the moon, but focusing NASA’s resources on the “needle movers” that only the agency can accomplish - things like empowering America's workforce and eliminating as much of the “needless bureaucracy and things that impede progress” as possible. "If you can do that, then things like returning to the moon and building a moon base will be pale in comparison to what we're capable of achieving in the years ahead."
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"One of the most important KPIs is more people living and working in space." Jared Isaacman hopes his greatest contribution as NASA Administrator Jared Isaacman won’t be landing on the moon, but focusing NASA’s resources on the “needle movers” that only the agency can accomplish - things like empowering America's workforce and eliminating as much of the “needless bureaucracy and things that impede progress” as possible. "If you can do that, then things like returning to the moon and building a moon base will be pale in comparison to what we're capable of achieving in the years ahead."

TBPN

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.NASA Administrator Jared Isaacman Jared Isaacman responds to Americans who say Artemis II is a waste of money and time: “The high ground of space matters [for national security] right now. We are going to the moon, but it's going to be different this time...we're going back to STAY. We're building a moon base and we're going to turn that moon base into a scientific and technological proving ground.”
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.NASA Administrator Jared Isaacman Jared Isaacman responds to Americans who say Artemis II is a waste of money and time: “The high ground of space matters [for national security] right now. We are going to the moon, but it's going to be different this time...we're going back to STAY. We're building a moon base and we're going to turn that moon base into a scientific and technological proving ground.”

Glenn Beck

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The initial moon base “might look like a junkyard, because there are going to be broken-down rovers and landers everywhere. And that’s OK,” says NASA Administrator Jared Isaacman. Progress takes time, says Isaacman. Starting small—like Alan Shepard’s brief, ten-minute spaceflight—led to Neil Armstrong and Buzz Aldrin reaching the Moon just eight years later.
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The initial moon base “might look like a junkyard, because there are going to be broken-down rovers and landers everywhere. And that’s OK,” says NASA Administrator Jared Isaacman. Progress takes time, says Isaacman. Starting small—like Alan Shepard’s brief, ten-minute spaceflight—led to Neil Armstrong and Buzz Aldrin reaching the Moon just eight years later.

The Free Press

20,013 görüntüleme • 4 ay önce

🚨 GREAT NEWS: Trump NASA chief Jared Isaacman just CONFIRMED his goal is to CLOBBER China in the space race “We want to be ON the moon — not above the moon looking down on the Chinese!" 🔥 Isaacman is moving to ensure a MOON BASE is waiting for our astronauts in 2028 "When you have competition, you do NOT wanna lose." "We face a Chinese rival...we want infrastructure on the surface. We want AMERICAN STANDARDS on the Moon." "For power, for communication, mobility, logistics, rovers...surface improvements, and habitation." The man is committed, I like it! BEAT CHINA TO MOON DOMINANCE! 🇺🇸 NASA Administrator Jared Isaacman
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🚨 GREAT NEWS: Trump NASA chief Jared Isaacman just CONFIRMED his goal is to CLOBBER China in the space race “We want to be ON the moon — not above the moon looking down on the Chinese!" 🔥 Isaacman is moving to ensure a MOON BASE is waiting for our astronauts in 2028 "When you have competition, you do NOT wanna lose." "We face a Chinese rival...we want infrastructure on the surface. We want AMERICAN STANDARDS on the Moon." "For power, for communication, mobility, logistics, rovers...surface improvements, and habitation." The man is committed, I like it! BEAT CHINA TO MOON DOMINANCE! 🇺🇸 NASA Administrator Jared Isaacman

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NASA Administrator: 'The U.S. WILL have a Moon Base in the NEXT 5 years.' Here's how were going to do it... "We’re going to start launching in early 2027. We are going to literally start putting landers— these are uncrewed robotic landers and rovers— on the surface of the moon on a near monthly cadence starting in 2027." Space X and Blue Origin will be critical private partners in building the base. Where will we get the energy to sustain a moon base? NASA Administrator Jared Isaacman tells me "We're eventually going to have a nuclear power plant on the moon." "We are we are going to experiment. Phase 1 is all about lots of landers, lots of rovers packed with science instruments, packed with tech demonstrations. We are going to have solar power. We are going to have nuclear powered RTGs."
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NASA Administrator: 'The U.S. WILL have a Moon Base in the NEXT 5 years.' Here's how were going to do it... "We’re going to start launching in early 2027. We are going to literally start putting landers— these are uncrewed robotic landers and rovers— on the surface of the moon on a near monthly cadence starting in 2027." Space X and Blue Origin will be critical private partners in building the base. Where will we get the energy to sustain a moon base? NASA Administrator Jared Isaacman tells me "We're eventually going to have a nuclear power plant on the moon." "We are we are going to experiment. Phase 1 is all about lots of landers, lots of rovers packed with science instruments, packed with tech demonstrations. We are going to have solar power. We are going to have nuclear powered RTGs."

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Austen Allred on Gauntlet AI: "We're very up front that we're 80 to 100 hours a week. If you think that that's a terrible idea, please don't come." "We're in Austin, all right? That's a sacrifice for a lot of people. If you don't think like coming to Austin for 100 hours a week and jamming on AI unpaid and just building stuff to figure out how much you can learn and hopefully getting a job on the other side... if you don't think that's awesome, that's totally fine. Please don't come." "There are some psychos out there that think that that's a good time. We wanna collect all those psychos. So come all, come all ye crazy people. And if that's not for you, that's okay." "There are companies that come to us and say, "Hey, we want, you know, 100 engineers that are going to sit in our division of printer drivers and sit there." And I'm like, "They would kill themselves." The people that are coming to Gauntlet would not do that. And so we turn companies down too." So we know who we are, we know what we stand for. You know, it helps that I'm one of those people that would've loved that. So is Ash Tilawat, and so is everybody else that works at Gauntlet. "So it's not hard for us to find other crazy people like ourselves. And that doesn't have to be you. That's okay." "We're not trying to empire build or solve all of humanity's greatest problems. We know that there's a limit to who we're addressing and what we're addressing at any given time." "So our goal is to be the best thing we can possibly be for that weird island of misfits. And for the companies that need a weird island of misfits, we'll be that all day long."
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Austen Allred on Gauntlet AI: "We're very up front that we're 80 to 100 hours a week. If you think that that's a terrible idea, please don't come." "We're in Austin, all right? That's a sacrifice for a lot of people. If you don't think like coming to Austin for 100 hours a week and jamming on AI unpaid and just building stuff to figure out how much you can learn and hopefully getting a job on the other side... if you don't think that's awesome, that's totally fine. Please don't come." "There are some psychos out there that think that that's a good time. We wanna collect all those psychos. So come all, come all ye crazy people. And if that's not for you, that's okay." "There are companies that come to us and say, "Hey, we want, you know, 100 engineers that are going to sit in our division of printer drivers and sit there." And I'm like, "They would kill themselves." The people that are coming to Gauntlet would not do that. And so we turn companies down too." So we know who we are, we know what we stand for. You know, it helps that I'm one of those people that would've loved that. So is Ash Tilawat, and so is everybody else that works at Gauntlet. "So it's not hard for us to find other crazy people like ourselves. And that doesn't have to be you. That's okay." "We're not trying to empire build or solve all of humanity's greatest problems. We know that there's a limit to who we're addressing and what we're addressing at any given time." "So our goal is to be the best thing we can possibly be for that weird island of misfits. And for the companies that need a weird island of misfits, we'll be that all day long."

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Trump: "It's going to be all or none. And that's the way it is. You saw what we did with Venezuela. It'll be something very similar to that, but at a higher level." "It's called 'all in and all out.' There'll be a time when we'll have them all come in and all come out, but it won't be a percentage. It won't be a friend of yours, like a country that's your ally or a country that's your friend is all or nothing." "We're just bringing the ships up. We got a lot of ships that we're bringing them up. We think that numerous countries are going to be helping us with this also, but we're putting on a complete blockade." "We're not going to let Iran make money on selling oil to people that they like and not people that they don't like or whatever it is."

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NASA used psychics to scout the moon before Apollo landed. That's the claim from Andrija Puharich, who held NASA contracts in the 1960s and ran telepathy experiments with astronauts that have since surfaced in newspaper archives. According to him, the agency didn't know what the lunar surface would actually be like, whether it was hot, cold, solid, or spiked, so they sent remote viewers there first to preview it before risking a craft. Puharich said the tapes of those sessions are sitting somewhere in the NASA archives. The contracts proving he worked with NASA exist. The remote viewing tape doesn't, yet. "They were doing telepathy experiments with astronauts." "Before they went to the moon, they didn't know the surface of the moon, what it would be like." "They sent remote viewers to the moon to get a picture of what it would be like." "Somewhere in the NASA archives, I'm sure there's the tapes we did." "He had the contracts of NASA."
1:19

NASA used psychics to scout the moon before Apollo landed. That's the claim from Andrija Puharich, who held NASA contracts in the 1960s and ran telepathy experiments with astronauts that have since surfaced in newspaper archives. According to him, the agency didn't know what the lunar surface would actually be like, whether it was hot, cold, solid, or spiked, so they sent remote viewers there first to preview it before risking a craft. Puharich said the tapes of those sessions are sitting somewhere in the NASA archives. The contracts proving he worked with NASA exist. The remote viewing tape doesn't, yet. "They were doing telepathy experiments with astronauts." "Before they went to the moon, they didn't know the surface of the moon, what it would be like." "They sent remote viewers to the moon to get a picture of what it would be like." "Somewhere in the NASA archives, I'm sure there's the tapes we did." "He had the contracts of NASA."

American Alchemy

78,969 görüntüleme • 3 ay önce

TRACE GALLAGHER: "Missions tend to be delayed...This thing went pretty much according to what everybody was hoping it would do. Was that somewhat surprising when they said, we are a go for launch?" ASTRONAUT VICTOR GLOVER: "Yes. You know, it was it was surprising." "We like to say that we're prepared without having an expectation. But, you, know, in the back of your mind, you kind of hope you launch. And then when we got really close, it was like, 'wait, we're we're getting ready to go to space.'" "You're trying to be professional, but the kid inside of you wants to break out and just hoot and holler."
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TRACE GALLAGHER: "Missions tend to be delayed...This thing went pretty much according to what everybody was hoping it would do. Was that somewhat surprising when they said, we are a go for launch?" ASTRONAUT VICTOR GLOVER: "Yes. You know, it was it was surprising." "We like to say that we're prepared without having an expectation. But, you, know, in the back of your mind, you kind of hope you launch. And then when we got really close, it was like, 'wait, we're we're getting ready to go to space.'" "You're trying to be professional, but the kid inside of you wants to break out and just hoot and holler."

Fox News

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🚨 AMERICA IS GETTING BACK TO THE MOON! A few hours after The White House posted “AMERICA WILL NEVER GIVE UP ON THE MOON AGAIN”, NASA administrator NASA Administrator Jared Isaacman doubles down: “We are NOT going to be passive at NASA. We are taking an ACTIVE role. We're not sitting on our hands and watching budgets exceed budgets and schedule overruns. We're embedding subject matter experts across the supply chain.” The bureaucratic CANCER is finally being RIPPED OUT. I can confidently say that appointing Jared Isaacman as the NASA administrator was one of the BEST administration choices that President Trump has made!
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🚨 AMERICA IS GETTING BACK TO THE MOON! A few hours after The White House posted “AMERICA WILL NEVER GIVE UP ON THE MOON AGAIN”, NASA administrator NASA Administrator Jared Isaacman doubles down: “We are NOT going to be passive at NASA. We are taking an ACTIVE role. We're not sitting on our hands and watching budgets exceed budgets and schedule overruns. We're embedding subject matter experts across the supply chain.” The bureaucratic CANCER is finally being RIPPED OUT. I can confidently say that appointing Jared Isaacman as the NASA administrator was one of the BEST administration choices that President Trump has made!

Nick Sortor

45,560 görüntüleme • 5 ay önce

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 • 9 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

37,474 görüntüleme • 2 ay önce

Newly-confirmed NASA administrator Jared Isaacman said “we’re just months away from sending American astronauts around the moon for the first time in more than half a century.” “We're going to want to get there, start the development of our lunar base, so I would say that's of pretty great interest,” Isaacman said. “There's an awful lot to learn on the moon, and it’s something we should be working on as we develop our deep space capabilities.” Isaacman spoke to CBS News’ Major Garrett on his plans for putting U.S. astronauts back on the moon and beyond.
3:30

Newly-confirmed NASA administrator Jared Isaacman said “we’re just months away from sending American astronauts around the moon for the first time in more than half a century.” “We're going to want to get there, start the development of our lunar base, so I would say that's of pretty great interest,” Isaacman said. “There's an awful lot to learn on the moon, and it’s something we should be working on as we develop our deep space capabilities.” Isaacman spoke to CBS News’ Major Garrett on his plans for putting U.S. astronauts back on the moon and beyond.

CBS News

157,836 görüntüleme • 8 ay önce

"I kind of was thinking I would announce that I'm retiring and put down my gloves and it would be pretty cool... But, honestly, the UFC, they're like... 'Chris, we're going to put you on the prelims again. We can't put you on main cards.' It kind of sucks to see. A champion like that being put on prelims all the time and like... What am I doing?" Chris Weidman on his retirement decision.
1:56

"I kind of was thinking I would announce that I'm retiring and put down my gloves and it would be pretty cool... But, honestly, the UFC, they're like... 'Chris, we're going to put you on the prelims again. We can't put you on main cards.' It kind of sucks to see. A champion like that being put on prelims all the time and like... What am I doing?" Chris Weidman on his retirement decision.

Ariel Helwani

479,298 görüntüleme • 1 yıl önce

Yunjin talked about the significance of slowness in a world that moves so fast & virtue of patience ❤️‍🩹 “What I've been thinking about lately is the importance of being deliberately slow about things and allowing yourself a pocket of time in your day to not be rushed by anyone or anything, not even yourself. When we had our show in Shizuoka, we got on, we took the train there, the Shinkansen, instead of taking a flight like we would normally and it was really really nice because we were allotted an amount of time in our day to basically just sit with ourselves. You know, that's what I love about being on a plane or just in any vehicle, because you are not driving it or you could be driving it, but you can’t travel in a split second. There's time. There's a time of arrival that you can't control and you just kind of have to wait and sit with yourself. But I feel this need to be on airplane mode when I do have those opportunities to be off my phone and just, like, disconnected from the world, but also not disconnected from the world. You know what I mean? Like, when you're on a plane, you're still part of the world. You're just, like, not on the stratosphere, like, physically. And it kind of like, forces you to be, like. To, like, separate yourself for a second, like a couple hours or a couple days, if you're like a layover or something. I found myself looking out the window of the train and just, like, enjoying myself. Because everything is so fast, and I think everything. Ever since then, I've been deliberately, like, making an effort to do one thing very slowly, and it's very nice. It’s good. It's a good way to kind of put your feet back on the ground and remind yourself that not everything has to be you know, it's okay to take a breather and just wait. It's a virtue. Patience is a virtue, you know, but it's also virtue to enjoy it and gift yourself that time. It's kind of rebellious in a way, because no one can take that right from you. To do something with less urgency when everybody around you is like, of course, if it's an urgent manner, you should or urgent matter, you should do things accordingly but, you know, if it's like you don't need to wash your hair, like, in three minutes. Like, you can take your time to really think about. You know, sometimes we just live on. Autopilot so much, I think it's important to remind ourselves we're not AI.”
4:39

Yunjin talked about the significance of slowness in a world that moves so fast & virtue of patience ❤️‍🩹 “What I've been thinking about lately is the importance of being deliberately slow about things and allowing yourself a pocket of time in your day to not be rushed by anyone or anything, not even yourself. When we had our show in Shizuoka, we got on, we took the train there, the Shinkansen, instead of taking a flight like we would normally and it was really really nice because we were allotted an amount of time in our day to basically just sit with ourselves. You know, that's what I love about being on a plane or just in any vehicle, because you are not driving it or you could be driving it, but you can’t travel in a split second. There's time. There's a time of arrival that you can't control and you just kind of have to wait and sit with yourself. But I feel this need to be on airplane mode when I do have those opportunities to be off my phone and just, like, disconnected from the world, but also not disconnected from the world. You know what I mean? Like, when you're on a plane, you're still part of the world. You're just, like, not on the stratosphere, like, physically. And it kind of like, forces you to be, like. To, like, separate yourself for a second, like a couple hours or a couple days, if you're like a layover or something. I found myself looking out the window of the train and just, like, enjoying myself. Because everything is so fast, and I think everything. Ever since then, I've been deliberately, like, making an effort to do one thing very slowly, and it's very nice. It’s good. It's a good way to kind of put your feet back on the ground and remind yourself that not everything has to be you know, it's okay to take a breather and just wait. It's a virtue. Patience is a virtue, you know, but it's also virtue to enjoy it and gift yourself that time. It's kind of rebellious in a way, because no one can take that right from you. To do something with less urgency when everybody around you is like, of course, if it's an urgent manner, you should or urgent matter, you should do things accordingly but, you know, if it's like you don't need to wash your hair, like, in three minutes. Like, you can take your time to really think about. You know, sometimes we just live on. Autopilot so much, I think it's important to remind ourselves we're not AI.”

nat ☆彡

16,861 görüntüleme • 15 gün önce

.delian says there's a good chance we have boots on the moon in 2027: "This kind of feels like 1968..." "This year, we're going to have four separate, totally net new commercial lunar landers land on the moon." "The Blue Origin Mark 1 lander is like the size of a two-story house. It's going to be the biggest manmade object that we've ever landed on the moon. Until a quarter ago, I was probably a little more skeptical that Blue Origin was actually going to land this thing. Now, you see that New Glenn is actually launching and landing." "In February, we're going to be sending humans back to the moon for the first time, not on the surface but to orbit the moon. Four different landers are going to the moon." "There's a really decent likelihood that next year we both have boots on the moon and like 10 landers landing per year on the moon, dropping off robots and supplies. 15-year-old Delian would just be so excited."
2:07

.delian says there's a good chance we have boots on the moon in 2027: "This kind of feels like 1968..." "This year, we're going to have four separate, totally net new commercial lunar landers land on the moon." "The Blue Origin Mark 1 lander is like the size of a two-story house. It's going to be the biggest manmade object that we've ever landed on the moon. Until a quarter ago, I was probably a little more skeptical that Blue Origin was actually going to land this thing. Now, you see that New Glenn is actually launching and landing." "In February, we're going to be sending humans back to the moon for the first time, not on the surface but to orbit the moon. Four different landers are going to the moon." "There's a really decent likelihood that next year we both have boots on the moon and like 10 landers landing per year on the moon, dropping off robots and supplies. 15-year-old Delian would just be so excited."

TBPN

26,272 görüntüleme • 7 ay önce

Elon Musk: I'll be long dead before we're really a multiplanet species. But at least I'd like to see us make great progress in this direction. “Why do these things? I think this is important for maximizing the probable lifespan of humanity or consciousness. Human civilization could come to an end for external reasons, like a giant meteor, or supervolcanoes, or extreme climate change. Or World War III, or, you know, any one of a number of reasons. But the probable lifespan of civilization and consciousness, as we know it, which we should really view as this very delicate thing, like a small candle in a vast darkness, that is what appears to be the case. We're in this vast darkness of space, and there's this little candle of consciousness that's only really come about after 4.5 billion years. And it could just go out. I think that's powerful, and I think a lot of people will be inspired by that vision. And so the reason you need the million people is because there has to be enough people there to do everything that you need to survive. The critical threshold is, if the ships from Earth stop coming for any reason, does the Mars city die out or not? We have to pass that. People talk about the great filters, the things that perhaps, you know, we talk about the Fermi paradox and where are the aliens, and, well, maybe there is various great filters that the aliens didn't pass, and so they eventually just cease to exist. And one of the great filters is becoming a multiplanet species. So we want to pass that filter. And I'll be long dead before this is a real thing, before it happens. But I'd like to at least see us make great progress in this direction.” Source: TED, April 6, 2022.
2:05

Elon Musk: I'll be long dead before we're really a multiplanet species. But at least I'd like to see us make great progress in this direction. “Why do these things? I think this is important for maximizing the probable lifespan of humanity or consciousness. Human civilization could come to an end for external reasons, like a giant meteor, or supervolcanoes, or extreme climate change. Or World War III, or, you know, any one of a number of reasons. But the probable lifespan of civilization and consciousness, as we know it, which we should really view as this very delicate thing, like a small candle in a vast darkness, that is what appears to be the case. We're in this vast darkness of space, and there's this little candle of consciousness that's only really come about after 4.5 billion years. And it could just go out. I think that's powerful, and I think a lot of people will be inspired by that vision. And so the reason you need the million people is because there has to be enough people there to do everything that you need to survive. The critical threshold is, if the ships from Earth stop coming for any reason, does the Mars city die out or not? We have to pass that. People talk about the great filters, the things that perhaps, you know, we talk about the Fermi paradox and where are the aliens, and, well, maybe there is various great filters that the aliens didn't pass, and so they eventually just cease to exist. And one of the great filters is becoming a multiplanet species. So we want to pass that filter. And I'll be long dead before this is a real thing, before it happens. But I'd like to at least see us make great progress in this direction.” Source: TED, April 6, 2022.

ELON CLIPS

35,997 görüntüleme • 1 ay önce

.NASA Administrator Jared Isaacman Jared Isaacman reveals the plans for Artemis III, Artemis IV and the moon base: “Artemis III in 2027 is going to be very Apollo 9-esque, where we will rendezvous the spacecraft Orion with the landers, but we‘re going to do it in Earth orbit... In 2028, you’re going to have Artemis IV, which will actually land NASA astronauts on the moon. In parallel, we’re building the moon base. Starting in early 2027, you are going to see robotic uncrewed landings on a nearly monthly cadence... building the base so when the astronauts arrive, they have a lot of equipment to work with.”
2:02

.NASA Administrator Jared Isaacman Jared Isaacman reveals the plans for Artemis III, Artemis IV and the moon base: “Artemis III in 2027 is going to be very Apollo 9-esque, where we will rendezvous the spacecraft Orion with the landers, but we‘re going to do it in Earth orbit... In 2028, you’re going to have Artemis IV, which will actually land NASA astronauts on the moon. In parallel, we’re building the moon base. Starting in early 2027, you are going to see robotic uncrewed landings on a nearly monthly cadence... building the base so when the astronauts arrive, they have a lot of equipment to work with.”

Glenn Beck

237,091 görüntüleme • 4 ay önce