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SemiAnalysis's Doug O'Laughlin predicts H100s go worthless once inferencing one model takes 100 of them saying it'll be better to "just let the old girl go" and get a B300, and says a B200 to B300 price gap would confirm it. "We talk about these new models. It's very... clear to me that the old chips will become worthless." "You know, everyone's like, oh, the H100 is an appreciating asset. But at some point in time, it's going to take like 100 H100s to inference one of these models, and you're just like, dude, just let the old girl go." "Just get a B300 or, you know, a VR200 instead, right? That's my speculation, and we'll see, we'll obviously be writing notes about it." "But it's like the true confirmation of this trend is if there is a pricing divergence between B200 and B300."show more

Fireside Alpha

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“ The right way to do it is to start with a low price.” When travis kalanick fundraised for Uber, he turned the process into a multi-room operation: four investor rooms running simultaneously for 12 hours a day over an entire week. Room 1: Investors considering $250M + Room 2: $100M Room 3: $50M Room 4: $25M “ The right way to do it is to start with a low price.” “A lot of entrepreneurs will get attached to the price and not the process. You have to be careful. It's very easy to get sucked into that, where you get some signal that it should be a price, and you get attached to it, and then that becomes your price—but you haven't cleared the market.” “ It's a very bad place to be from my perspective.” “You want to start at a low price and say, ‘Look, I don't know where the price is going to go, but I know it's at least here.’” “ You have a bidder… If you're doing a winner takes all round, then you would just go to the next guy, and you say whatever that guy said, X+5. And then you go to the next guy, and it's: X+5+5. And the next guy: X+5+5+5. And while that's happening, it's a winner takes all deal. So you go back to the original guy and you're like, ‘Dude, it's going up,’ and you're telling people it's going up. That's a winner takes all approach.” “ Then you're like, ‘Okay, going once, going twice, sold.’” ”Most deals that are big deals today are not working that way.”

“ The right way to do it is to start with a low price.” When travis kalanick fundraised for Uber, he turned the process into a multi-room operation: four investor rooms running simultaneously for 12 hours a day over an entire week. Room 1: Investors considering $250M + Room 2: $100M Room 3: $50M Room 4: $25M “ The right way to do it is to start with a low price.” “A lot of entrepreneurs will get attached to the price and not the process. You have to be careful. It's very easy to get sucked into that, where you get some signal that it should be a price, and you get attached to it, and then that becomes your price—but you haven't cleared the market.” “ It's a very bad place to be from my perspective.” “You want to start at a low price and say, ‘Look, I don't know where the price is going to go, but I know it's at least here.’” “ You have a bidder… If you're doing a winner takes all round, then you would just go to the next guy, and you say whatever that guy said, X+5. And then you go to the next guy, and it's: X+5+5. And the next guy: X+5+5+5. And while that's happening, it's a winner takes all deal. So you go back to the original guy and you're like, ‘Dude, it's going up,’ and you're telling people it's going up. That's a winner takes all approach.” “ Then you're like, ‘Okay, going once, going twice, sold.’” ”Most deals that are big deals today are not working that way.”

David Senra

126,201 Aufrufe • vor 1 Monat

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.”

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 Aufrufe • vor 1 Monat

Important reality check from WashPost's Josh Rogin about the age/condition of govt planes during after AF1 had electrical issues and turned around instead of continuing its flight to Davos.... "Over the course of 20 years of traveling on government aircraft, this happens all the time. You know, it's a really old fleet and there's a constant state of disrepair. It's much more rare for Air Force One than it is for like the planes that the vice president and the secretary of defense, the secretary of state, might fly on. But these things happen, and it's because the planes are very, very old. And so, I think the fact that they caught it early and they turned back, it shouldn't really be a big problem. But it is kind of shocking to people who don't know, but it's kind of an open secret amongst the reporters who travel with senior officials that the U.S. fleet is very old and the planes are not in good condition, and that doesn't justify taking a plane from Qatar for free or anything like that. But it's just kind of a thing that everybody knows that these are really old planes and they malfunction all the time. So, they caught it. They're going to go back, they're going to get on a couple other planes. They'll be a little late. It'll probably be okay, and they'll fix the plane. But these things happen because the U.S. government fleet is very, very old and these planes are very, very old."

Important reality check from WashPost's Josh Rogin about the age/condition of govt planes during after AF1 had electrical issues and turned around instead of continuing its flight to Davos.... "Over the course of 20 years of traveling on government aircraft, this happens all the time. You know, it's a really old fleet and there's a constant state of disrepair. It's much more rare for Air Force One than it is for like the planes that the vice president and the secretary of defense, the secretary of state, might fly on. But these things happen, and it's because the planes are very, very old. And so, I think the fact that they caught it early and they turned back, it shouldn't really be a big problem. But it is kind of shocking to people who don't know, but it's kind of an open secret amongst the reporters who travel with senior officials that the U.S. fleet is very old and the planes are not in good condition, and that doesn't justify taking a plane from Qatar for free or anything like that. But it's just kind of a thing that everybody knows that these are really old planes and they malfunction all the time. So, they caught it. They're going to go back, they're going to get on a couple other planes. They'll be a little late. It'll probably be okay, and they'll fix the plane. But these things happen because the U.S. government fleet is very, very old and these planes are very, very old."

Curtis Houck

47,464 Aufrufe • vor 8 Monaten

Trevor Wallace and Michael Blaustein reveal the harsh reality of being single men "When you're single it's just like so, you don't really know when. It's just like earthquakes. You're like, is it happening right now? What do we do?" "I'm about to fuck that plunger hanging on the wall. Things are up down bad" "I do, but it's with a fleshlight" "we don't yield that type of influence as a dude. You can't just make a choice" "I don't think anybody would feel good about it. Everyone would come and be like, I need to go back to my Toyota Sienna and get the hell out of here" "if you kind of pull like the comedian 'you follow me' type card, then that can become a little weird" "So you don't fuck fans? I have, but I try not to"

Trevor Wallace and Michael Blaustein reveal the harsh reality of being single men "When you're single it's just like so, you don't really know when. It's just like earthquakes. You're like, is it happening right now? What do we do?" "I'm about to fuck that plunger hanging on the wall. Things are up down bad" "I do, but it's with a fleshlight" "we don't yield that type of influence as a dude. You can't just make a choice" "I don't think anybody would feel good about it. Everyone would come and be like, I need to go back to my Toyota Sienna and get the hell out of here" "if you kind of pull like the comedian 'you follow me' type card, then that can become a little weird" "So you don't fuck fans? I have, but I try not to"

Deborah

23,130 Aufrufe • vor 1 Monat

Bam Adebayo GOES IN on the critics that says his 83 point game performance is unethical: "For the couch coaches, I mean, if you're in my shoes and you have, first of all, y'all are blaming me. You should be blaming the head coach. Get that first. I was not the one letting me go one-on-one the whole game until I had 70, and then you started to send a double. At that point, I got 70 with, like, what? nine minutes left to go in the game you think i'm not going for it like like and that's the thing that's crazy when they talk about the unethical part of the basketball i'm like if i have 70 points with 9 minutes to go Who would just be like, you know, coach, just take me out. Yeah, right. Anybody in my shoes with nine minutes left? Okay. A minute? All right. Nine? Yeah, I'm going for it. You can't be mad at that. If you are mad, I don't care because a lot of people, they're upset because if they did play, they never had a chance to get that close to chasing greatness. And then if you get that close to chasing greatness, that's the point of chasing it so you can surpass it. And some of the people have never played basketball. So like if you've been in the backyard and you and a couple of your homies have been playing 21 and you got 19. You're not going to get an easy look off. And four, they're going to talk about the free throws. It's not like I shoot 15 free throws a game. It's not like I average 10 free throws a game. You can watch the film. I was legitimately getting fouled every time. So I went to the free throw line."

Bam Adebayo GOES IN on the critics that says his 83 point game performance is unethical: "For the couch coaches, I mean, if you're in my shoes and you have, first of all, y'all are blaming me. You should be blaming the head coach. Get that first. I was not the one letting me go one-on-one the whole game until I had 70, and then you started to send a double. At that point, I got 70 with, like, what? nine minutes left to go in the game you think i'm not going for it like like and that's the thing that's crazy when they talk about the unethical part of the basketball i'm like if i have 70 points with 9 minutes to go Who would just be like, you know, coach, just take me out. Yeah, right. Anybody in my shoes with nine minutes left? Okay. A minute? All right. Nine? Yeah, I'm going for it. You can't be mad at that. If you are mad, I don't care because a lot of people, they're upset because if they did play, they never had a chance to get that close to chasing greatness. And then if you get that close to chasing greatness, that's the point of chasing it so you can surpass it. And some of the people have never played basketball. So like if you've been in the backyard and you and a couple of your homies have been playing 21 and you got 19. You're not going to get an easy look off. And four, they're going to talk about the free throws. It's not like I shoot 15 free throws a game. It's not like I average 10 free throws a game. You can watch the film. I was legitimately getting fouled every time. So I went to the free throw line."

Ahmed/The Ears/IG: BigBizTheGod 🇸🇴

374,056 Aufrufe • vor 6 Monaten

🚨| Sir Lewis Hamilton asked about his radio message from practice, and whether he is confident in the car for tomorrow. "Well, I mean, we'll work on it. I think it's just the way of this track, you know. It's a massively demanding circuit. It's amazing to drive. But getting the right balance, and I think, interestingly, there's something... I think it's just something in how this car is set up. There's kind of some similarities to what I felt last year, so we're just working on that." "So I'm confident overnight we can find something and get it to a better place. But it's an awesome circuit. But you need to be able to sit on the rear and be comfortable that it's going to stay with you. And today I had the snaps. It just can't seem to match the other guys. So I think we'll do a deep dive tonight. We'll get some interesting readings from the simulator. But I feel like I've got a bit of a north star. It's just how do we get there. And so we're going to try and figure that out." F1 2026 || Japan

🚨| Sir Lewis Hamilton asked about his radio message from practice, and whether he is confident in the car for tomorrow. "Well, I mean, we'll work on it. I think it's just the way of this track, you know. It's a massively demanding circuit. It's amazing to drive. But getting the right balance, and I think, interestingly, there's something... I think it's just something in how this car is set up. There's kind of some similarities to what I felt last year, so we're just working on that." "So I'm confident overnight we can find something and get it to a better place. But it's an awesome circuit. But you need to be able to sit on the rear and be comfortable that it's going to stay with you. And today I had the snaps. It just can't seem to match the other guys. So I think we'll do a deep dive tonight. We'll get some interesting readings from the simulator. But I feel like I've got a bit of a north star. It's just how do we get there. And so we're going to try and figure that out." F1 2026 || Japan

sim 🇧🇷🇲🇽🇸🇳🇫🇷🇭🇹

165,156 Aufrufe • vor 6 Monaten

Clavicular says chasing women is one of the biggest wastes of time for ambitious men "Chasing tail is really not gonna get you anywhere. You could become the most successful slayer and have the best game ever, sleep with a different girl every night, but your life will really not change. And in a lot of regards, it'll get worse" "It's a mega waste of time just talking to girls, going out on dates and stuff like that. Say you were to go on a bowling date with a girl and you weren't streaming it. That's just the most ridiculous thing"

Clavicular says chasing women is one of the biggest wastes of time for ambitious men "Chasing tail is really not gonna get you anywhere. You could become the most successful slayer and have the best game ever, sleep with a different girl every night, but your life will really not change. And in a lot of regards, it'll get worse" "It's a mega waste of time just talking to girls, going out on dates and stuff like that. Say you were to go on a bowling date with a girl and you weren't streaming it. That's just the most ridiculous thing"

Mikli

208,831 Aufrufe • vor 4 Monaten

Matt Damon said some canceled people would have preferred an 18-month prison sentence because it has a clear end date. Joe Rogan: What we're talking about earlier about people that have been canceled, you know? That, that, this idea that one thing you said or one thing you did, and now we're going to exaggerate that to the fullest extent and cast you out of civilization. Matt Damon: In perpetuity, yeah. Joe Rogan: It's fucking crazy and it's... Matt Damon: Yeah, I would say because, because I bet some of those people would have preferred to go to jail for 18 months or whatever to, and, and then come out and say, "No, but I, that, that we can't... I, I paid my debt, like we're done." Yeah, like can we be done? Like, the, the thing about, about that, you know, getting kind of excoriated publicly like that, it's, it just never ends. And it's, and it's the first thing that, you know, it's just, it just will follow you to the grave, I think.

Matt Damon said some canceled people would have preferred an 18-month prison sentence because it has a clear end date. Joe Rogan: What we're talking about earlier about people that have been canceled, you know? That, that, this idea that one thing you said or one thing you did, and now we're going to exaggerate that to the fullest extent and cast you out of civilization. Matt Damon: In perpetuity, yeah. Joe Rogan: It's fucking crazy and it's... Matt Damon: Yeah, I would say because, because I bet some of those people would have preferred to go to jail for 18 months or whatever to, and, and then come out and say, "No, but I, that, that we can't... I, I paid my debt, like we're done." Yeah, like can we be done? Like, the, the thing about, about that, you know, getting kind of excoriated publicly like that, it's, it just never ends. And it's, and it's the first thing that, you know, it's just, it just will follow you to the grave, I think.

Ruzy.hl

82,786 Aufrufe • vor 3 Monaten

Q: It's thought in the paddock that your car is actually the best chassis and if you can get that extra bit of power you are the ones to beat. So are you thinking if we can just get this [Engine ADUO] we know we have an incredible car? Lewis Hamilton: "Yes absolutely, I mean the guys at the factory have done an amazing job with the car and we still have improvements to make but the car is fantastic it's just it's a battle of development through the season obviously some people bring upgrades one weekend and others the other but yeah we're just at the mercy of the lack of power that we have and I know that everyone worked really hard on the engine and reliability is obviously is very good it's just when you're lacking that straight line speed against the Merc it's very very tough but nonetheless you know we have to expect that the rest of the season that's just the way it is so we'll just try and see if we can continue to add on to the car and try and close the gap if we can go through quicker through corners in some races maybe we can get closer to a challenge in front of us." F1 2026 || Canada

Q: It's thought in the paddock that your car is actually the best chassis and if you can get that extra bit of power you are the ones to beat. So are you thinking if we can just get this [Engine ADUO] we know we have an incredible car? Lewis Hamilton: "Yes absolutely, I mean the guys at the factory have done an amazing job with the car and we still have improvements to make but the car is fantastic it's just it's a battle of development through the season obviously some people bring upgrades one weekend and others the other but yeah we're just at the mercy of the lack of power that we have and I know that everyone worked really hard on the engine and reliability is obviously is very good it's just when you're lacking that straight line speed against the Merc it's very very tough but nonetheless you know we have to expect that the rest of the season that's just the way it is so we'll just try and see if we can continue to add on to the car and try and close the gap if we can go through quicker through corners in some races maybe we can get closer to a challenge in front of us." F1 2026 || Canada

sim

23,426 Aufrufe • vor 4 Monaten

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:

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

15,248 Aufrufe • vor 10 Monaten

“So originally, Paint by Numbers was like track one of the album. And at that time, the album was very different. It was like sonically sounding very different. It was like very introspective. I think I was really starting to feel like, you know, I think I loved the idea of opening the album with, oh, what a gift it is to be noticed, but it's nothing to do with me. I just loved, I was like so dedicated to that being the opening line. And I felt so like powerful in a lot of ways to be able to acknowledge that it's not really about me, you know. I mean the opening, the whole opening of the song is, oh, what a gift is to be noticed, but it's nothing to do with me. You've got to wonder if there's a reason to believe it's a lifetime of learning to Paint By Numbers and watching colors run.” - Harry about ‘Paint by Numbers’ on Q

“So originally, Paint by Numbers was like track one of the album. And at that time, the album was very different. It was like sonically sounding very different. It was like very introspective. I think I was really starting to feel like, you know, I think I loved the idea of opening the album with, oh, what a gift it is to be noticed, but it's nothing to do with me. I just loved, I was like so dedicated to that being the opening line. And I felt so like powerful in a lot of ways to be able to acknowledge that it's not really about me, you know. I mean the opening, the whole opening of the song is, oh, what a gift is to be noticed, but it's nothing to do with me. You've got to wonder if there's a reason to believe it's a lifetime of learning to Paint By Numbers and watching colors run.” - Harry about ‘Paint by Numbers’ on Q

HSNews

179,234 Aufrufe • vor 6 Monaten

The Truth About Electric Cars. Each Individual Charging Station Is Using The Equivalent Power Of 280 Homes Every Hour 🚨 If All Chargers At One Station Are Being Used, The Power Being Used Is Equivalent Is 1,080 Homes Every Hour “I think I'm just doing a quick little video here just to give people an idea of how much energy it takes to charge an electric vehicle. I'm at Electrify America. This is a 350 kilowatt station. I'm consuming roughly 137 kilowatts. It'll fluctuate. Sometimes I can go up to the full 350. But to put this into perspective, an average home consumes 1.25 kilowatts per hour. 135 kilowatts per hour. It's like the equivalent of 106 homes on the grid, just this one station. Now, if I was gonna get the full 350 kilowatts like these can supply, that would be the equivalent of 280 homes. Now think about all six chargers running at full capacity. That's like 1,080 homes on the grid. Just a little food for thought. It's things people don't realize the amount of energy it takes to fast charge these batteries. It's a huge amount of electricity. And now you understand why the electric companies can't even supply that much power to one spot. It's like think of 1600 homes and how much copper and wire that would take to supply that many houses. So yeah, it's pretty cool. Somebody else just pulled in and yeah, there goes another 280 homes on the grid as soon as he plucks in. So just a little food for thought. I do love my electric vehicle. They're awesome. They're quiet, but it's just something that people don't really think about. Show you my dash. They're great cars. I really like them. So you forget about range and all that. I'm just talking about what it takes to fast charge one. It's it's a ridiculous amount of money. Okay. Now I'm at like a hundred. So that's like a hundred homes right there. Hundred and twenty kilowatts because one point two one kilowatts per hour is what a is what a house uses. So yeah. They got to figure something out because to have every car in America on the grid, it's going to be... I don't even know what those numbers would be. Well, just food for thought. And I thought I'd talk about it while I'm sitting here charging, waiting. It's another thing. Got to wait here for 30 minutes. And then sometimes Electrify America. Half of these chargers are broken. Or I think they're throttling them down because of the grid can't even handle it. So I think that's what's happening. I don't know. But like, for instance, this one here wasn't working. So oh yeah, look unavailable. You know, there you go. That's usually the case. So either you're waiting in line for somebody or half of these chargers don't even work. And I don't I'm not complaining. Maybe I sound like it. But it's it's an issue and hopefully they figure this out. And where's the electricity coming from at night? It's not solar. And I don't know. You guys can comment and blow steam, whatever you want. I just wanted to show you what it's like and give you a little concept of the amount of energy used. All right, talk to you later.”

The Truth About Electric Cars. Each Individual Charging Station Is Using The Equivalent Power Of 280 Homes Every Hour 🚨 If All Chargers At One Station Are Being Used, The Power Being Used Is Equivalent Is 1,080 Homes Every Hour “I think I'm just doing a quick little video here just to give people an idea of how much energy it takes to charge an electric vehicle. I'm at Electrify America. This is a 350 kilowatt station. I'm consuming roughly 137 kilowatts. It'll fluctuate. Sometimes I can go up to the full 350. But to put this into perspective, an average home consumes 1.25 kilowatts per hour. 135 kilowatts per hour. It's like the equivalent of 106 homes on the grid, just this one station. Now, if I was gonna get the full 350 kilowatts like these can supply, that would be the equivalent of 280 homes. Now think about all six chargers running at full capacity. That's like 1,080 homes on the grid. Just a little food for thought. It's things people don't realize the amount of energy it takes to fast charge these batteries. It's a huge amount of electricity. And now you understand why the electric companies can't even supply that much power to one spot. It's like think of 1600 homes and how much copper and wire that would take to supply that many houses. So yeah, it's pretty cool. Somebody else just pulled in and yeah, there goes another 280 homes on the grid as soon as he plucks in. So just a little food for thought. I do love my electric vehicle. They're awesome. They're quiet, but it's just something that people don't really think about. Show you my dash. They're great cars. I really like them. So you forget about range and all that. I'm just talking about what it takes to fast charge one. It's it's a ridiculous amount of money. Okay. Now I'm at like a hundred. So that's like a hundred homes right there. Hundred and twenty kilowatts because one point two one kilowatts per hour is what a is what a house uses. So yeah. They got to figure something out because to have every car in America on the grid, it's going to be... I don't even know what those numbers would be. Well, just food for thought. And I thought I'd talk about it while I'm sitting here charging, waiting. It's another thing. Got to wait here for 30 minutes. And then sometimes Electrify America. Half of these chargers are broken. Or I think they're throttling them down because of the grid can't even handle it. So I think that's what's happening. I don't know. But like, for instance, this one here wasn't working. So oh yeah, look unavailable. You know, there you go. That's usually the case. So either you're waiting in line for somebody or half of these chargers don't even work. And I don't I'm not complaining. Maybe I sound like it. But it's it's an issue and hopefully they figure this out. And where's the electricity coming from at night? It's not solar. And I don't know. You guys can comment and blow steam, whatever you want. I just wanted to show you what it's like and give you a little concept of the amount of energy used. All right, talk to you later.”

Wall Street Apes

1,241,000 Aufrufe • vor 2 Jahren

Curtis Yarvin on how "the Left" has executed population replacement in the White Dominions as a "stalk and charge." "This is a predator... [and] they're starting to speed run...mass immigration is not 2 million people entering the US a year...[it's] 10... to 100 million a year" This clip of Yarvin (Curtis Yarvin), a political blogger and software developer (according to Wikipedia), is taken from a conversation with Peter McCormack (Peter McCormack 🏴‍☠️🇬🇧🇮🇪) posted to McCormack's eponymous YouTube channel on February 23, 2026. ---------------Partial transcription of clip---------------- "You might think that people getting red-pilled in various ways is something that would really put a stop to this craziness of population replacement. Oh, no, actually it's quite very much the reverse. "Because there's something anyone who's totally lost faith in the Left, in a way, they have many complaints with the Left. But it all boils down to, you basically recognize that this is not a vegetarian thing. This is a predator, right? "And so this is a predator. And so when a predator such as a lion is hunting, there are basically two phases of the pursuit. There's the stalk and the charge. And the stalk is like, well, nobody really knows what's going on here. Like, let's take the demographic replacement in the U.S. It's from the, you know, the 1965 Immigration Act. And politicians swore up and down that this was not what it, what it was. Basically, since that act, basically it's brought like 100 million people from the third world into the US, right? "Something like that. Solid, solid numbers like that. And, but in order to sort of do that, you know, you couldn't have this giant boat lift where, you know, some gigantic version of the Empire Windrush brought 100 million people at the same time. It's more a case of like, you know, slowly, slowly, catchy, catchy fish, right? You know, where you're kind of tickling it and you're like, oh yeah, oh yeah, our friends from, you know, we're open, our hearts are welcoming, right? "You know, like all of this, like, you know, stuff that's just of course, unbelievably sinister because it's sort of trading on people's goodwill and people's good wishes. It's like this con. But the thing is, when people, when enough people see the con, and all of these systems are incentive-based, they're not based on planning, the Left is not run by some cabal. It's incentives that drive things. "What you're seeing, especially in what used to be called the white dominions, Canada, Australia, New Zealand, especially is you're seeing they're starting to speed run, they're starting to come out of their crouch and basically just be like, yeah, actually we're, I mean in the 21st century, I think they've increased the population of Canada by like 35%. Right? "And so even that is small. Even that is small. The Spanish government was just like, we're going to legalize 500,000. Oh, but that's just an estimate. That's just an estimate of how many people that plan will suck in it probably will be more like over a million. Right. "And so you know and those people are Schengen. They can go anywhere in Europe and you will see them do that and the like and and so what you could see in the US if basically the next time Democrats win the presidency people go on about like mass immigration. Like no, we've not seen mass immigration. You have no idea what mass immigration is. "Mass Immigration is not 2 million people entering the US a year. Mass immigration starts I I would call it mass until it was like 10 a year. And like mass immigration is really the 10 to 50 to 100 million a year. But that's what could spark civil war. No, no— I don't know I'm seeing it here. No because people have no balls. People have no balls—"

Curtis Yarvin on how "the Left" has executed population replacement in the White Dominions as a "stalk and charge." "This is a predator... [and] they're starting to speed run...mass immigration is not 2 million people entering the US a year...[it's] 10... to 100 million a year" This clip of Yarvin (Curtis Yarvin), a political blogger and software developer (according to Wikipedia), is taken from a conversation with Peter McCormack (Peter McCormack 🏴‍☠️🇬🇧🇮🇪) posted to McCormack's eponymous YouTube channel on February 23, 2026. ---------------Partial transcription of clip---------------- "You might think that people getting red-pilled in various ways is something that would really put a stop to this craziness of population replacement. Oh, no, actually it's quite very much the reverse. "Because there's something anyone who's totally lost faith in the Left, in a way, they have many complaints with the Left. But it all boils down to, you basically recognize that this is not a vegetarian thing. This is a predator, right? "And so this is a predator. And so when a predator such as a lion is hunting, there are basically two phases of the pursuit. There's the stalk and the charge. And the stalk is like, well, nobody really knows what's going on here. Like, let's take the demographic replacement in the U.S. It's from the, you know, the 1965 Immigration Act. And politicians swore up and down that this was not what it, what it was. Basically, since that act, basically it's brought like 100 million people from the third world into the US, right? "Something like that. Solid, solid numbers like that. And, but in order to sort of do that, you know, you couldn't have this giant boat lift where, you know, some gigantic version of the Empire Windrush brought 100 million people at the same time. It's more a case of like, you know, slowly, slowly, catchy, catchy fish, right? You know, where you're kind of tickling it and you're like, oh yeah, oh yeah, our friends from, you know, we're open, our hearts are welcoming, right? "You know, like all of this, like, you know, stuff that's just of course, unbelievably sinister because it's sort of trading on people's goodwill and people's good wishes. It's like this con. But the thing is, when people, when enough people see the con, and all of these systems are incentive-based, they're not based on planning, the Left is not run by some cabal. It's incentives that drive things. "What you're seeing, especially in what used to be called the white dominions, Canada, Australia, New Zealand, especially is you're seeing they're starting to speed run, they're starting to come out of their crouch and basically just be like, yeah, actually we're, I mean in the 21st century, I think they've increased the population of Canada by like 35%. Right? "And so even that is small. Even that is small. The Spanish government was just like, we're going to legalize 500,000. Oh, but that's just an estimate. That's just an estimate of how many people that plan will suck in it probably will be more like over a million. Right. "And so you know and those people are Schengen. They can go anywhere in Europe and you will see them do that and the like and and so what you could see in the US if basically the next time Democrats win the presidency people go on about like mass immigration. Like no, we've not seen mass immigration. You have no idea what mass immigration is. "Mass Immigration is not 2 million people entering the US a year. Mass immigration starts I I would call it mass until it was like 10 a year. And like mass immigration is really the 10 to 50 to 100 million a year. But that's what could spark civil war. No, no— I don't know I'm seeing it here. No because people have no balls. People have no balls—"

Sense Receptor

246,961 Aufrufe • vor 7 Monaten

This threadguy rant is what many are feeling but haven’t articulated. Crypto was just early to this trend but now everyone feels it. I look around and it’s like someone rushed to the cornucopia. And now everyone feels like they desperately have to win. Like RIGHT NOW. It's like this primal drive to win. Like right this second. Like there is a clock. And it’s ticking. And you just don’t know how much time is on it. And the dollar is getting worthless. And everyone is just printing money. It feels like we're in the early innings of desperation.

This threadguy rant is what many are feeling but haven’t articulated. Crypto was just early to this trend but now everyone feels it. I look around and it’s like someone rushed to the cornucopia. And now everyone feels like they desperately have to win. Like RIGHT NOW. It's like this primal drive to win. Like right this second. Like there is a clock. And it’s ticking. And you just don’t know how much time is on it. And the dollar is getting worthless. And everyone is just printing money. It feels like we're in the early innings of desperation.

Yano 🟪

74,309 Aufrufe • vor 1 Jahr

Qullamaggie on Make Tens of Millions With This One Single Setup “Okay, next one, SQ. Let's go back here. It had some really good setups like back in 2017. This thing, you know, keeps riding the 50 day. Okay, and here, you know, it builds a base, starts breaking out. Makes a move and surfs the 10 day and then you get two really tight candles with higher lows and then breaks out. That's a good setup. Here, another really good setup. This is just an insanely good setup. Like you need to go back and you need to take screenshots of these things. You need to build a database, thousands of stocks. Like, if you don't study at least, you know, spend at least like 500 / 1000 hours studying this one single setup, it's just super simple. It's not easy, but it's simple. But you still need to study hundreds, hundreds of hours, thousands of hours over the next few years. That's how you master it. That's how you will make millions, tens of millions. With this one setup, you can make tens of millions. Like this could be like it's kind of breaking out of a little bit of a range of the 50 day, you know, building higher lows. It's a little bit more of a subtle setup. Like there's obviously variations of this setup. You're going to figure it out. You know, if you spend a thousand hours studying these setups, you're going to figure out these variations.”

Qullamaggie on Make Tens of Millions With This One Single Setup “Okay, next one, SQ. Let's go back here. It had some really good setups like back in 2017. This thing, you know, keeps riding the 50 day. Okay, and here, you know, it builds a base, starts breaking out. Makes a move and surfs the 10 day and then you get two really tight candles with higher lows and then breaks out. That's a good setup. Here, another really good setup. This is just an insanely good setup. Like you need to go back and you need to take screenshots of these things. You need to build a database, thousands of stocks. Like, if you don't study at least, you know, spend at least like 500 / 1000 hours studying this one single setup, it's just super simple. It's not easy, but it's simple. But you still need to study hundreds, hundreds of hours, thousands of hours over the next few years. That's how you master it. That's how you will make millions, tens of millions. With this one setup, you can make tens of millions. Like this could be like it's kind of breaking out of a little bit of a range of the 50 day, you know, building higher lows. It's a little bit more of a subtle setup. Like there's obviously variations of this setup. You're going to figure it out. You know, if you spend a thousand hours studying these setups, you're going to figure out these variations.”

Lone

13,239 Aufrufe • vor 1 Jahr

Ed Sheeran. Old songs about the main things. - The drinking culture here, in England, is different from that in America. We tend to have a pint or two at the end of the workday. And on Fridays, it's up to six pints, plus a bottle of wine, plus a couple or three shots here and there. Regular drinking is part of our lifestyle. Drinking every day isn't considered alcoholism here. In America, I know, if you're drinking every day, you're already an alcoholic. - Absolutely. - Of course, some people here get excessively drunk sometimes. But overall, it's just a way of life. It's not like, you know, you wake up in the morning with a hangover and immediately think about beer. No. It's just that when the day is coming to an end, and you're in the center of London, there's a natural urge – why not have a pint? It's not like "oh damn, I have a hangover." No, it's not like that.

Ed Sheeran. Old songs about the main things. - The drinking culture here, in England, is different from that in America. We tend to have a pint or two at the end of the workday. And on Fridays, it's up to six pints, plus a bottle of wine, plus a couple or three shots here and there. Regular drinking is part of our lifestyle. Drinking every day isn't considered alcoholism here. In America, I know, if you're drinking every day, you're already an alcoholic. - Absolutely. - Of course, some people here get excessively drunk sometimes. But overall, it's just a way of life. It's not like, you know, you wake up in the morning with a hangover and immediately think about beer. No. It's just that when the day is coming to an end, and you're in the center of London, there's a natural urge – why not have a pint? It's not like "oh damn, I have a hangover." No, it's not like that.

𝕊𝕡𝕣𝕚𝕟𝕥𝕖𝕣 𝕻𝕣𝕖𝕤𝕤

11,592 Aufrufe • vor 2 Monaten

.David Sacks blasts California's so-called "Billionaire Tax Act" “This is this is not a tax, this is an asset seizure... Never been anything like this before in American history. People are trying to minimize it by saying it's a one-time. It's not a one-time. It's a first-time, and if they get away with it, there'll be a 2nd time and a 3rd time, and this will be the beginning of something very new and different in this country, which is asset seizure. Whenever a state or a majority decides, 'Hey, we don't like somebody, or we don't like a group of people, we're just gonna take their stuff' -- that's a violation of property rights.”

.David Sacks blasts California's so-called "Billionaire Tax Act" “This is this is not a tax, this is an asset seizure... Never been anything like this before in American history. People are trying to minimize it by saying it's a one-time. It's not a one-time. It's a first-time, and if they get away with it, there'll be a 2nd time and a 3rd time, and this will be the beginning of something very new and different in this country, which is asset seizure. Whenever a state or a majority decides, 'Hey, we don't like somebody, or we don't like a group of people, we're just gonna take their stuff' -- that's a violation of property rights.”

Breitbart News

431,776 Aufrufe • vor 8 Monaten

I don't think there's a single franchise out there that has been as consistently mishandled as Halo. Like it gets to a point that it's almost impressive in a way, if it weren't so sad. It sucks to see the trend setter become the trend chaser, losing it's identity and just trying to be whatever is popular at the time. I don't think we'll ever get this back again. There really is something to be said for series like Dark Souls that know when to end.

I don't think there's a single franchise out there that has been as consistently mishandled as Halo. Like it gets to a point that it's almost impressive in a way, if it weren't so sad. It sucks to see the trend setter become the trend chaser, losing it's identity and just trying to be whatever is popular at the time. I don't think we'll ever get this back again. There really is something to be said for series like Dark Souls that know when to end.

🎮𝙆𝙖𝙞𝙮𝙖🎮

131,438 Aufrufe • vor 5 Monaten