📣2nd drop THIS WEEK‼️ Turkeys 🦃 itz the Only thing that get STUFFED on the Holidays..... 🗣Can I Fill YOUR HOLE 🕳 up NEXT like 😈❓️❓️❓️ 🍆:💥CJBankz 25k💰XxX (WashingtonDC🏛9/3-9/7) 😈💥 🍑:👑King CrimsonBlack ❤️🖤 📽:Gotham's Den LIKE ❤ SHARE🔄 SUBSCRIBE 📥 Wanna see MORE❓️⤵️
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![Insane video shows the drastic change in water level and devastation caused by the flooding in Western NC. Jay-Paul Thibault in Burnsville, NC filmed how quickly the water rose and the destruction that followed. Unfortunately this is the sad reality for hundreds if not thousands of families. Please keep praying, keep giving, keep sharing, and keep helping. I'll link to his GoFundMe to rebuild in the next post. 0:02 - The Distance From the River to the Bottom of the Bridge is 22 Feet Thu 9/26 - 8:48 AM 0:09 - "The water's already up about 5 feet I'm guessing... so it's pretty intense." Fri 9/27 - 7:34 AM 1:27 - "This is the road [completely under water] and there's no crossing on 19W." Fri 9/27 - 8:14 AM 1:48 - "I was just told this flood is going to exceed the flood of 1916 which dwarfed the flood of 1977." (The water is at the 1000-year level) 3:46 - "I think I'm going to lose the bridge." Fri 9/27 - 8:27 AM 5:56 - "Well there's not much I can do about it but the bridge is gone. I've got no way over there until we repair that." Fri 9/27 - 8:37 AM 6:28 - "So I'm safe and I'm at the Fire Station. We're gonna wait it out here." Fri 9/27 - 8:49 AM 6:56 - "We've got some trucks that got swept away and this is getting pretty crazy... there's the house that was just refinished and that looks like it could get swept away. I hope it doesn't. That's Jeff's house. I'd say we're close to 20 feet over the regular height of the river." Fri 9/27 - 10:10 AM 8:56 - "So we are now on the roof [on top of trucks in the fire station garage] hanging out watching the river go by and we've got about 6 more feet before it's at our feet here now." Fri 9/27 - 10:42 AM 9:13 - "We are punching our way out of the roof at this point in case the flood continues [cutting a hole in the ceiling with an ax to get to the roof of the fire station]. As you can see, everything in here is floating away." Fri 9/27 - 11:51 AM 9:43 - "Holy sh!t is all I can say [while on top of the roof]. The entire dump station is gone; the building, the trash containers." Fri 9/27 - 12:02 PM 12:08 - "Look at the house. Holy sh!t. That's going downstream... That house is just floating away. Been there for 100 years probably." Fri 9/27 - 3:08 PM 14:35 - "So I found my pickup truck [upside down and completely destroyed]." Fri 9/27 - 3:09 PM 14:47 - "So here's the road, or what's left of it." 16:34 - "All of my building is gone; all the construction I did... everything I own... everything that I built is gone. I don't know how to express this. The whole farm here is gone. This is where I parked my car and we had the bridge and it's just gone. So I guess you start over. I left the goats unlocked and they would've gone up the hill. But everything I've done for the last 2 years is pretty much non-existent."](https://image.24vids.com/tw-1842402412536996300/amplify_video_thumb/1842400545383895041/img/7N2aDBvJTCGgG00b.jpg)
![John Mayer is a master of his craft. He’s also one of the best I’ve come across at using analogy and demonstration to articulate and demystify the creative process. Here’s a 14-clip (~7-minute) masterclass on mastery and creativity: TL;DW 1/ “Whenever I want to write a big song, I can't...That's when I get writer's block: when I try to write a song to fill the entire galaxy. I've never gotten a song that way. But if I write about something the size of a glass of water—a week later, I notice it's got the universe in it. So I'd rather have the universe in a glass of water than try to make a glass of water fit in the universe.” 2/ "What connects with people is you connecting with yourself." 3/ “Writer’s block is when the two people inside of you—the writer and the reader—when the reader doesn’t love the writer. It is not a failure to write. It is a failure to catch the feedback loop of enjoying what you’re seeing and wanting to contribute more to it.” 4/ “Don't shoot ideas down before you have them. 'That won't work' is the worst thing you can ever say. 'That didn't work' is cool, but 'that won't work' is not a way to go through life.” 5/ “I’ve seen the Cool metric change so many times. I'm not telling you don't chase Cool. I'm saying…by the time you reach what you think is cool, Cool is like, 'over here now.’ ‘The princess is in another castle.' You know what I mean? That's a Mario reference.” 6/ "I'm one-half consumer, one-half artist. So I try to put music out that I myself would want to hear as somebody on the other end." 7/ "I'm seeing a lot of motivation about you following your passion, but I'm not seeing any critical thought to what that is or how to be better at that. So, really the product is passion and that's strange to me. Because my product growing up was sitting in a room yelling, 'Mom, I'm practicing,' for hours and hours and hours and hours and hours and hours and hours. 8/ "But then also read up...You know, this stuff doesn't just appear. It comes from somewhere. And as soon as you realize you love something—it's almost like catching up with some great TV show on season 9, and you can go, 'oh my God, that means there's 8 seasons before this." 9/ "Whatever you learn is the tip of the iceberg. Dive underwater and find the rest of the iceberg." 10/ "So listening to Stevie Ray Vaughan brought me back to people like Kenny Burrell and Albert King and Jimi Hendrix and Elmore James. So it became this family tree growing out of my CD player." 11/ "I came up with these guys as like references…It’s like if you're into the NBA and you wear different jerseys and you pretend you're a different player in the driveway—that's what I was doing..." 12/ "Which is a wonderful technique for being yourself. Failing to sound exactly like the person you want to sound like is a wonderful way to sound like yourself." 13/ After watching Cory Wong play guitar, Mayer told him, "You have an anatomy thing working on your right hand. Your hand is shaped in a way—you have long fingers, very sinewy hands—that you're able to play like that. That is an example of someone making the most of their anatomical gifts... And I wish more people could embrace finding what their strengths are anatomically—the way your hand is shaped, the way your mind works, whatever—and play to those strengths." 14/ Mayer picks up an acoustic guitar and demonstrates his songwriting process. “Well, I don’t always do it,” he admitted, “because it requires a stupid bravery all the time.” “You just stare at the corner of the wall," Mayer explains then improvises some vocals, “stare at the corner of the wall / try to get it going on / but I can’t sometimes / you just keep going ’til you get something,” he stops singing. “You gotta keep forcing it, forcing it, forcing it…it doesn’t matter [what comes out of your mouth].” Follow Billy Oppenheimer for more content like this!](https://image.24vids.com/tw-1688293445029302272/amplify_video_thumb/1688292988126937089/img/ru_kWINYMd3dmACB.jpg)
![Vegeta Flawless Victory vs Android 19 [HD]💥1080Pee🔥 Original Funimation w/ Bruce Faulconer Audio✅ (Good Version)✅(Not KAI)🤮‼️RE-UPLOAD‼️ 🚨 Copyrights ©️Akira Toriyama, Toei Animation, and Bruce Faulconer.⚠️🔫👮 All 291 episodes of DragonBall Z are available to stream in [HD] quality on Crunchyroll.🐉🟠 / Subscriptions start at $9.99/mo 💻🖱️ Visit for more details 🖥️ Bruce Faulconer's #DBZ discography is available on Spotify. 🎵🟢 (on Mobile, it may bring to a screen to hit play, then 'Get the App'. If Spotify is Installed, 'Get the App' should automatically load both for you.) 📱 This links to "The Dragon Theme" 🐉🟠 #dragongasm 1:10-3:55 🎶🌊🐉🟠 ⚠️These [HD]💥1080Pee🔥 edits as they are presented are not available for Television currently.🚫📺 ⚠️This is a FANMADE re-imagination of what our childhood 'could be' today. 🤔 ⚠️Our version of 'DragonBall Z' that we grew up with has not existed for almost 20 years, we are forced to rely on old physical media and internet archives to watch it. 💿 Bruce Faulconer officially became canon in the Pee Universe on 08/08/2026. 💯 #notegoat🎵🐐 Faulconer 👑 is coming 🐦⬛ Bruce Faulconer 👑is the Legendary composer of the iconic American DragonBall Z Soundtrack. He was cast aside 25 years ago, and is actively recruiting "Pee Warriors" now to take down the Tyrannical Warmongerer known as Taylor Lannister (Swift).💰 He is the right heir to the throne of the Billboard Top 100. If you would like to support The One True King👑, 🎵🐐please give his Spotify a listen, or see Bruce's Goose's below about joining the Pee Warriors. 📋 See → #ShenrundayService🐉🟠⛪️ for edit posting schedule. See Pinned Post for "Pee Universe Explained by Pee"📌📁 👈 In the Pee Universe, #DBZ never peaked, it's still going strong in 2026 too!🏁 I'm just a fan like you are. 🫵 (🚫NO AFFILIATIONS🚫) 🛑I posted this on Wednesday night originally under BETTER AUDIO SYNC THAN ORIGINAL US BROADCAST and I had cut close to 3/4 a second of audio. It matched on my pc, but no other device that I tried. This was actually due to the fact I started using a bluetooth speaker within the past week. I have since corrected the issue, and no other false claims about being better than the US broadcast exist. I'll leave that for your interpretation.💯 I wanted to get this back up asap too for anybody who planned on watching it again. This is the DragonBall Z we grew up with.✅](https://image.24vids.com/tw-2090957932368109669/amplify_video_thumb/2090957600883933184/img/n4B1TXqw1UJuz3XQ.jpg)
![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:](https://image.24vids.com/tw-1994972575768727743/amplify_video_thumb/1994972220930621440/img/_5CCZJyz89oDfqQJ.jpg)
![Girls do not want to have to text you for 2 weeks before going out with you. You do not have to “win her over” or “warm her up” over text before getting the meet, either. I am seeing more and more guys do this (especially Gen Z guys). I have a 28-year-old client who met a very cute girl who liked him a lot at a bar. They had an amazing conversation that went for an hour. Talked about all kinds of things! This girl really dug him. They traded numbers, he sent an icebreaker text, she responded enthusiastically, and then… He didn’t message her for two weeks. I asked him why and his response was that he’d been busy and he wasn’t in her area (he’s in the suburbs and met her when he drove into the city). It wasn’t that he didn’t like this girl. He REALLY liked her! He just… never followed up… I see this kind of thing often. Guy meets a few girls, gets their numbers, likes them, doesn’t follow up. Or he follows up once or twice, the girl responds fine each time, then he just lets it drop off. Look: you do not need to send her 20 text messages to get a date with her. With most girls, if they are into you, you can send them 2 or 3 texts then arrange the meet. You do not need to make this complicated. When you get their number, you send an icebreaker: “Great to make a new friend! — [YOUR NAME]” or “Hey [HER NAME], it’s [YOUR NAME]! Save my number!” You put YOUR NAME in that icebreaker text in case she forgot it (people are bad with names and it’s too awkward for most girls to be like “Hey, sorry… what was your name again?” Just write it in your text and she doesn’t have to do that). Then, THE NEXT DAY or at most 2 days later, you send your ask-out text. Have the four parts in there: 1️⃣ Greeting with her name 2️⃣ Consideration for her 3️⃣ Information about you 4️⃣ Check her schedule e.g. “Hey Isabelle! [1️⃣] Hope the dental appointment went well and you still have all your teeth. [2️⃣] I actually spent all day at the beach on Sunday and turned a bright shade of red (whoops). [3️⃣] Anyway, let me know your schedule this week for that bite or drink. [4️⃣]” You have enough in that text that she has stuff to chew on, and you are often going to get a reply that tells you when she is free to meet. After that, you just pick a time, tell her the place, and now you can see her again, IN-PERSON. No need for two weeks of texting. No need for NOT texting her at all and just letting it ghost. There is no need to overcomplicate things, and you also do not want to PROCRASTINATE. Just fire off the right texts for her, set up the date, and now you can spend time with her again in-person instead of letting that connection die on the vine.](https://image.24vids.com/tw-1997977751807295952/amplify_video_thumb/1997977696362725376/img/EBQdSIOV-UA3v60l.jpg)
![Marathon | Ultimate Overview, Gameplay, Hands-On Impressions ▪️Team based extraction shooter set on Tau Ceti IV, scavenge remains of a lost colony for glory and fortune ▪️Launch: Coming to PS5, Xbox and PC on September 23 ▪️Will be a "premium" product, meaning not F2P ▪️"Weapons and movement feels crisp, fluid, and incredibly satisfying in that rarified way that few studios can achieve" ▪️3 maps, 6 runner classes at launch, more to follow post-launch ▪️Plans to support the game with new maps, weapons, characters, and more as it goes on ▪️Ranked play, end game challenges, seasonal storytelling, secrets to discover, community events all in Season One with more content coming ▪️You play as a "runner", cybernetic mercenary who's given up their human form for a bio-synthetic shell with unique abilities and stats ▪️Runner Types: "Locus" is a soldier class for pushing forward, can use a shield, "Void" is stealth, sneak by undetected, use smoke grenades, "Blackbird" is reconnaissance based, find players, positioning, and more ▪️Uncover secrets hidden in the wake of the original Marathon trilogy's events - how and where this overlaps or clashes with the original games "is a story that will unfold over time" ▪️Objective is to get in, get as much loot as you can, and get out alive ▪️If you die, your gear and loot will be up for grabs. Survive and you can take your gear with you on future runs as you grow in power and fill your vault ▪️Fight in a crew of up to 3 players, various map sizes up to 18 players ▪️PvP + PvE, battle other players, security forces, and "otherworldly threats" ▪️Contextual pings, shared objectives, down-but-not-out mechanics ▪️Environments are filled with weapons, materials, items, resources, cores, keys, backpacks, secrets etc to find You can find things like backpacks that expand your inventory, powerful and unique weapons, consumables to heal yourself, ▪️Select your runner, strategically build your loadouts pre-match ▪️Factions in the game can sponsor you and your loadout ▪️You have the freedom to opt out of crew fill and take all the glory for yourself as a solo runner ▪️"This is probably the best-looking, best-feeling extraction shooter ever made", not easy for newcomers to the genre, can be tough to get into, but one previewer was "reluctant to put Marathon down. This is a good sign – the best thing I can say after any preview is that I want more – but big questions remain" ▪️No two matches ever play out the same, dynamic events, variable weather, unpredictable players etc ▪️Customization: Each Runner "brings their own flair", but serve as foundations to customize your playstyle - collect implants and equipment to augment your Runner, like stacking implants/upgrades to reduce heat build-up to allow you to keep running, jumping, sliding longer ▪️Contracts: "Ingenious" incentives, finish contracts you accept for permanent upgrades to your stats, add precious items like grenades, shields, inventory-expanding backpacks, etc to your market. The bigger your market, the better your minimum loadout becomes ▪️Contracts provide "valuable direction", bring welcome diversity and add a "precious hit of semi-permanent progression" ▪️Prestige Cores: Rare items that can "really push the boundaries" (ex: Glitch has an upgrade that turns double jump into triple jump for more manueverability) ▪️Another rare item is a backpack that turns you invisible while interacting with containers (very useful when everyone on the map is hunting you) ▪️Each match "feels like the most important one ever", high stakes, "surprisingly challenging AI enemies" that were "much, much better at surrounding and overwhelming players than the vast majority of AI enemies found in other games" ▪️Having a balanced crew helps in exploring the "dark and forgotten places" in maps - filled with deadly creatures like a species of giant ticks who swarm you frantically ▪️Battles can become frantic as you encounter other crews, stalk them across the map, encounter AI enemies to fend off when others come to claim your loot (one preview battle turned into a 9 player free-for-all) ▪️Downside could be the reward system where skilled players enter fresh matches with high level gear that outmatches less skilled players, though Bungie says it has gone out of its way to try and make it where a poorly equipped squad can still stand a chance if they play well ▪️Even if you die, you can can still get upgrades, improve your reputation with factions, advance in perk trees, etc by completing various quests, looting chests, or fulfilling specific objectives which unlock new bits of story and can grant perks like buying slightly better gear from vendors ▪️"The world Bungie has built is every bit as beautiful as it is creepy and dystopian, and there are moments where they satisfyingly hint at the events of the Marathon trilogy from the ‘90s", though "what little I saw did only slightly more than pay lip service to the world" ▪️Uses the seasonal reset model like in Diablo 4, where players are stripped of their loot and progress at the end of each season to mix things up with new content and new meta ▪️Game is designed to get you killed, Bungie expects average exfiltration rates to be comfortably below 50% ▪️"You will lose a lot, and losing hurts a lot[...]Extracts are snapshots of this unpredictability. That white-knuckle countdown may become a gut-punch defeat, an unforgettable clutch, a desperate last-second dive into the portal as your downed allies watch in envy and horror (couldn't be me), or an unnerving anticlimax. It's not always a pleasant one, but it is a strong emotional hook" ▪️Some previewers worried about variety, weren't impressed with the objectives in the alpha, like hunting computer monitors on the map, sprinting over, marking dropships, sprinting over, and repeating, though random events help spice things up ▪️Not a 20-map game says Bungie, map design "does have that sticky battle royale quality of generating memories", though still worried 3-4 medium sized maps might not be enough ▪️Bungie's "verbiage" on updates sounds like possibly 1 new map a year + refreshing existing ones in between, which could work in its favor pushing players to really learn maps, but will they hold up over hundreds of hours? ▪️Fights are decided by gun skill, clever ability use, map awareness, how strong your shield is, how many healing supplies you have, etc ▪️Example: If you have one bar of shield and enemy has four, you'll lose 1v1, but change it up with powerful grenades, status effects like toxic or overheat, backpacks are "transformative", etc Gameplay Trailer ▶️ Gameplay Overview ▶️ PS Blog ➡️ IGN ➡️ GamesRadar ➡️ ▶️](https://image.24vids.com/tw-1911151387884368075/amplify_video_thumb/1911144961749184512/img/PCWzZVWXyT_s-3eX.jpg)