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AI agents keep placing “landmines” in the code. Dax Raad(dax), creator of OpenCode, on why the human feedback loop kept code quality high: Dax: "We're shipping way more hacks in places where we should have just rethought the whole system from ground up or redesigned it and refactored it...

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The Pragmatic Engineer

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237,019 görüntüleme • 3 ay önce •via X (Twitter)

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Pegula on the WTA’s gender test Jessica: “Yeah, my opinion is I think the WTA just wanted to update their policy based on what they have seen from other sporting organizations. So far, at least from my point of view, I don't really have any pushback on it. I think I haven't heard, even being on council, no players have really mentioned or said anything about it. Now that it's been announced, I think we'll see. Obviously now that we are here in Toronto, a bigger tournament, and going into Cincy when the testing starts, we'll see if there's any more feedback. I think so far no one's really said anything, and I think it's more just the tour making a decision updating it, and it kind of is what it is.” “So do you think the testing is going to begin in Cincy?” Jessica: “I think so.” “Have you been told?” Jessica: “Is it Cincy? Yeah, I think it's Cincinnati is when it starts.” “So you've been communicated some details about how this is going to roll out?” Jessica: “Oh, yeah. Yeah, like we had a whole, we had to watch a video and do a whole thing to kind of, like a rollout of the education and why we're doing it. It wasn't just kind of laid on us, like, you have to do this. There was a lot of education and stuff in the background of all the stuff the players have had to do to learn about it.” (via Toronto Press)
1:23

Pegula on the WTA’s gender test Jessica: “Yeah, my opinion is I think the WTA just wanted to update their policy based on what they have seen from other sporting organizations. So far, at least from my point of view, I don't really have any pushback on it. I think I haven't heard, even being on council, no players have really mentioned or said anything about it. Now that it's been announced, I think we'll see. Obviously now that we are here in Toronto, a bigger tournament, and going into Cincy when the testing starts, we'll see if there's any more feedback. I think so far no one's really said anything, and I think it's more just the tour making a decision updating it, and it kind of is what it is.” “So do you think the testing is going to begin in Cincy?” Jessica: “I think so.” “Have you been told?” Jessica: “Is it Cincy? Yeah, I think it's Cincinnati is when it starts.” “So you've been communicated some details about how this is going to roll out?” Jessica: “Oh, yeah. Yeah, like we had a whole, we had to watch a video and do a whole thing to kind of, like a rollout of the education and why we're doing it. It wasn't just kind of laid on us, like, you have to do this. There was a lot of education and stuff in the background of all the stuff the players have had to do to learn about it.” (via Toronto Press)

The Tennis Letter

157,476 görüntüleme • 1 ay önce

Rich Roll on why waiting to "feel like it" is a trap: "You can't think your way into the mood that you seek or the state of mind that you aspire to inhabit. Action is the only thing that can trigger that change." Rich uses running as the perfect illustration of this principle. Imagine you wake up in the morning and you're supposed to do a run because you're training for a race. You don't feel like it. So what do most of us do? "We all resort to that state where we think, 'Well, I don't want to do it right now. I'll just wait until I feel like doing it and then I'll do it then.'" But here's the problem with that logic: "If you're waiting until you feel like doing something, chances are you're probably never going to get to it." The mood you're hoping will arrive on its own? It's not coming. Not without action first. "To take the action despite how you feel about it is the thing that catalyzes the state change." You don't run because you feel motivated. You feel motivated because you ran. He points to what every runner knows from experience: "When they finish the run, they're always glad that they did it. They don't generally regret it. And then they feel better." Notice the sequence. The good feeling comes after the action, not before it. The state change is the reward for showing up, not the prerequisite. And this isn't just about running. As Rich puts it: "That example is applicable to all areas of life." The workout you're avoiding. The conversation you're delaying. The project you're putting off until you're "in the right headspace." You're waiting for a feeling that only exists on the other side of doing the thing.
0:59

Rich Roll on why waiting to "feel like it" is a trap: "You can't think your way into the mood that you seek or the state of mind that you aspire to inhabit. Action is the only thing that can trigger that change." Rich uses running as the perfect illustration of this principle. Imagine you wake up in the morning and you're supposed to do a run because you're training for a race. You don't feel like it. So what do most of us do? "We all resort to that state where we think, 'Well, I don't want to do it right now. I'll just wait until I feel like doing it and then I'll do it then.'" But here's the problem with that logic: "If you're waiting until you feel like doing something, chances are you're probably never going to get to it." The mood you're hoping will arrive on its own? It's not coming. Not without action first. "To take the action despite how you feel about it is the thing that catalyzes the state change." You don't run because you feel motivated. You feel motivated because you ran. He points to what every runner knows from experience: "When they finish the run, they're always glad that they did it. They don't generally regret it. And then they feel better." Notice the sequence. The good feeling comes after the action, not before it. The state change is the reward for showing up, not the prerequisite. And this isn't just about running. As Rich puts it: "That example is applicable to all areas of life." The workout you're avoiding. The conversation you're delaying. The project you're putting off until you're "in the right headspace." You're waiting for a feeling that only exists on the other side of doing the thing.

Kevin Tanaka

10,256 görüntüleme • 4 ay önce

The Washington Post’s Cleve Wootson: “One more, Elon Musk is slated to interview [Donald J. Trump] tomorrow — tonight on — on X. I don't know if the president is going to — feel free to say if he is or not — but I — I think that misinformation on Twitter is not just a campaign issue. It's a — you know, it's an America issue. What role does the White House or the President have any sort of stopping that or stopping the spread of that or sort of inter — intervening in that. Some of that was about campaign misinformation, but you know it's a wider thing, right?” KJP: “Yeah, no, I mean, you've heard us talk about this many times from here about the responsibilities that social media platforms have when it comes to misinformation, disinformation. I don't have anything to read out from here about specific ways that we're working on it, but we believe that that they have the responsibility. These are private companies, so we're also mindful of that too, but look — it is — I think it is incredibly important to call that out as you're — you're doing. I just don't have any specifics on what we have been doing internally as it relates to the interviews, not something that I'm tracking, and I'm sure the President's not tracking it either.”
1:18

The Washington Post’s Cleve Wootson: “One more, Elon Musk is slated to interview [Donald J. Trump] tomorrow — tonight on — on X. I don't know if the president is going to — feel free to say if he is or not — but I — I think that misinformation on Twitter is not just a campaign issue. It's a — you know, it's an America issue. What role does the White House or the President have any sort of stopping that or stopping the spread of that or sort of inter — intervening in that. Some of that was about campaign misinformation, but you know it's a wider thing, right?” KJP: “Yeah, no, I mean, you've heard us talk about this many times from here about the responsibilities that social media platforms have when it comes to misinformation, disinformation. I don't have anything to read out from here about specific ways that we're working on it, but we believe that that they have the responsibility. These are private companies, so we're also mindful of that too, but look — it is — I think it is incredibly important to call that out as you're — you're doing. I just don't have any specifics on what we have been doing internally as it relates to the interviews, not something that I'm tracking, and I'm sure the President's not tracking it either.”

Curtis Houck

2,664,564 görüntüleme • 2 yıl önce

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"
1:56

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

23,038 görüntüleme • 25 gün önce

AI is changing the software engineering craft. Anders Hejlsberg (Anders Hejlsberg) - creator of C#, TypeScript and industry legend - on why code review needs to get more enjoyable in response: #1 - AI is shifting the craft from writing code, to reviewing code: "In a sense, we're all turning into project managers. We can have an army of junior programmers, called agents, that will just spit out reams of code but someone's got to have the big picture and review all of that. And so, increasingly, our craft is going from one of writing the code, to one of reviewing the code and building the architecture of the code and overseeing the work. It's a different kind of craft. It's a different kind of enjoyment. I've always liked writing the code. To me that was the fulfilling part, seeing it work. In a way, AI robs a little bit of that, because I am less interested in reviewing code." #2 - The code review experience should be improved: "I think we could also make the process of reviewing code much more interesting than it is today. I mean, today, you see a list of diffs in alphabetical order and now it's up to you to make heads or tails of it. There are more pedagogical ways of presenting that. And you could have commentary generated by the AI that tells you what the changes are and whatever, and then tries to guide you along. So that symbiotic relationship, I think we need to work on that more and to keep the enjoyment in there."
2:04

AI is changing the software engineering craft. Anders Hejlsberg (Anders Hejlsberg) - creator of C#, TypeScript and industry legend - on why code review needs to get more enjoyable in response: #1 - AI is shifting the craft from writing code, to reviewing code: "In a sense, we're all turning into project managers. We can have an army of junior programmers, called agents, that will just spit out reams of code but someone's got to have the big picture and review all of that. And so, increasingly, our craft is going from one of writing the code, to one of reviewing the code and building the architecture of the code and overseeing the work. It's a different kind of craft. It's a different kind of enjoyment. I've always liked writing the code. To me that was the fulfilling part, seeing it work. In a way, AI robs a little bit of that, because I am less interested in reviewing code." #2 - The code review experience should be improved: "I think we could also make the process of reviewing code much more interesting than it is today. I mean, today, you see a list of diffs in alphabetical order and now it's up to you to make heads or tails of it. There are more pedagogical ways of presenting that. And you could have commentary generated by the AI that tells you what the changes are and whatever, and then tries to guide you along. So that symbiotic relationship, I think we need to work on that more and to keep the enjoyment in there."

The Pragmatic Engineer

39,073 görüntüleme • 4 ay önce

Rick Rubin tells Andrew Huberman how he deals with creative or writer’s block. He treats his work like a diary entry (and doesn’t worry about internal or external judgment): ➡️ “What's the cause of the block? The block is usually something that's either personal ("I'm not good enough") or it can be a confidence issue ("I don't have anything to say") or it could be...thinking about someone else ("nobody's going to like what I make"). Do you know what I'm saying? So, it's either fear of self-judgment or external judgment. If you're making something with a freedom of "this is something I'm making for myself for now", that is all [you have to do]. It is a diary entry. Everything I make is a diary entry. The beauty of a diary entry is that I can write my diary entry and you can't tell me that my diary entry wasn't good enough. Or that [the diary entry] is not what I experienced. Of course it's what I experienced: I'm writing a personal diary for myself and no one else can judge if it is my experience of my life. Everything we make can be that: a personal reflection of who we are in that moment of time. It doesn't have to be the greatest you could ever do. It doesn't have to have any expectation that it's going to change the world. It doesn't have to sell a certain number of copies for any reason. It doesn't have any of those things at all. It is "I'm making this thing for me and I want to do it to the best of my ability and to where I feel good about it". [The work] is honest of where I'm at and if you're living in this world of just being honest to where you're at, there's nothing blocking you. There are no blocks. The blocks are all based on dealing with a different force or a different perception that is made up.” ⬅️
2:34

Rick Rubin tells Andrew Huberman how he deals with creative or writer’s block. He treats his work like a diary entry (and doesn’t worry about internal or external judgment): ➡️ “What's the cause of the block? The block is usually something that's either personal ("I'm not good enough") or it can be a confidence issue ("I don't have anything to say") or it could be...thinking about someone else ("nobody's going to like what I make"). Do you know what I'm saying? So, it's either fear of self-judgment or external judgment. If you're making something with a freedom of "this is something I'm making for myself for now", that is all [you have to do]. It is a diary entry. Everything I make is a diary entry. The beauty of a diary entry is that I can write my diary entry and you can't tell me that my diary entry wasn't good enough. Or that [the diary entry] is not what I experienced. Of course it's what I experienced: I'm writing a personal diary for myself and no one else can judge if it is my experience of my life. Everything we make can be that: a personal reflection of who we are in that moment of time. It doesn't have to be the greatest you could ever do. It doesn't have to have any expectation that it's going to change the world. It doesn't have to sell a certain number of copies for any reason. It doesn't have any of those things at all. It is "I'm making this thing for me and I want to do it to the best of my ability and to where I feel good about it". [The work] is honest of where I'm at and if you're living in this world of just being honest to where you're at, there's nothing blocking you. There are no blocks. The blocks are all based on dealing with a different force or a different perception that is made up.” ⬅️

Trung Phan

1,652,308 görüntüleme • 2 yıl önce

Garry Nolan says there are more groups doing what skywatcher is doing right now “we know how to call them” “Skywatcher is one group of several that I'm aware of that are doing it independently.” Source -Sol Foundation 🔗 in comments Garry -“The, the information's out there, we, you know, it's already pretty well understood. I mean, look, there's been enough whistleblower types where the information of how to do this has leaked out. You know, we know how to call them. Whether you believe in psionics or not, it seems to be part of the process. So we know how to call them. The question is not can you video them? Skywatcher has already shown that you can video them and there'll be more of that kind of stuff, I think coming in the future, you know, so Skywatcher is one group of several that I'm aware of that are doing it independently. So that's citizen science. I mean, I think the answer is you don't wait for the government to do it, for you. Don't wait for daddy or mommy to tell you what's going on. You just do it yourself. Because as long as you're not going out there with, with guns or energy, weapons, trying to pull something down and, you know, get yourself in a bad situation, there's no reason people can't do it themselves and organize. So, you know, that's, that I think is the threat in a way that one needs to use against the governmental authorities who think that they hold all the, all the, all the marbles at this point, they don't anymore because the people who've been in the program, like Jake and others who've, you know, made that statement publicly, have basically made their knowledge and ability public. So do it.”
1:31

Garry Nolan says there are more groups doing what skywatcher is doing right now “we know how to call them” “Skywatcher is one group of several that I'm aware of that are doing it independently.” Source -Sol Foundation 🔗 in comments Garry -“The, the information's out there, we, you know, it's already pretty well understood. I mean, look, there's been enough whistleblower types where the information of how to do this has leaked out. You know, we know how to call them. Whether you believe in psionics or not, it seems to be part of the process. So we know how to call them. The question is not can you video them? Skywatcher has already shown that you can video them and there'll be more of that kind of stuff, I think coming in the future, you know, so Skywatcher is one group of several that I'm aware of that are doing it independently. So that's citizen science. I mean, I think the answer is you don't wait for the government to do it, for you. Don't wait for daddy or mommy to tell you what's going on. You just do it yourself. Because as long as you're not going out there with, with guns or energy, weapons, trying to pull something down and, you know, get yourself in a bad situation, there's no reason people can't do it themselves and organize. So, you know, that's, that I think is the threat in a way that one needs to use against the governmental authorities who think that they hold all the, all the, all the marbles at this point, they don't anymore because the people who've been in the program, like Jake and others who've, you know, made that statement publicly, have basically made their knowledge and ability public. So do it.”

neandrewthal

74,654 görüntüleme • 1 yıl önce

"The one thing that's going to be truly future proof is judgment. What is the biggest challenge when you have a thousand AI engineers writing code? AI slop. In an era when you can do everything, the question is which of these things matter. On the engineer side, it is evaluating the code. Which of this code is even valuable? You can have AI engineers writing beautiful code that could be wrong, that could have bugs in it, that could be vulnerable. Someone needs to review it. Make sure to have a human review at some point, especially critical code that is in the core of your system. On the product side is judgment around what needs to be built and evaluating. And similarly in design, you have to have judgment around, does it make sense in the broader design system. I think this judgment is the number one thing that humans are going to bring in an era of infinite productivity."
1:12

"The one thing that's going to be truly future proof is judgment. What is the biggest challenge when you have a thousand AI engineers writing code? AI slop. In an era when you can do everything, the question is which of these things matter. On the engineer side, it is evaluating the code. Which of this code is even valuable? You can have AI engineers writing beautiful code that could be wrong, that could have bugs in it, that could be vulnerable. Someone needs to review it. Make sure to have a human review at some point, especially critical code that is in the core of your system. On the product side is judgment around what needs to be built and evaluating. And similarly in design, you have to have judgment around, does it make sense in the broader design system. I think this judgment is the number one thing that humans are going to bring in an era of infinite productivity."

Patrick OShaughnessy

24,818 görüntüleme • 7 ay önce

More of Harry about Aperture “The reason why it's called Aperture is like, you control how much light you let in to your life. And I think the start of this year, I kind of just decided I was going to say yes to everything. And the momentum of that has just brought, like, so many positive things in a lot of different ways into my life. And it's been a really beautiful time in my life. And I think also, just when I would play people the music, it was always the song that I played first. […] I want to say and where I'm at in my life. And I think there's nothing more fulfilling, I think, as a musician than putting out a song that you feel like represents where you're at in your life. I think sometimes, you know, you write a song and by the time it comes out, you've kind of been through a bunch of things, and you're not really kind of aligned with necessarily what is happening in the song. And I think I really felt it when we put As It Was at or I felt like, “oh, I feel like this really represents where I'm at in this moment” and that felt really fulfilling. So I think kind of I wanted to do that again this time. And just I feel great about, like, pressing play and going like, I want to play something. And that's kind of why it ended up being the first song.” - 102.7 KIIS FM
1:42

More of Harry about Aperture “The reason why it's called Aperture is like, you control how much light you let in to your life. And I think the start of this year, I kind of just decided I was going to say yes to everything. And the momentum of that has just brought, like, so many positive things in a lot of different ways into my life. And it's been a really beautiful time in my life. And I think also, just when I would play people the music, it was always the song that I played first. […] I want to say and where I'm at in my life. And I think there's nothing more fulfilling, I think, as a musician than putting out a song that you feel like represents where you're at in your life. I think sometimes, you know, you write a song and by the time it comes out, you've kind of been through a bunch of things, and you're not really kind of aligned with necessarily what is happening in the song. And I think I really felt it when we put As It Was at or I felt like, “oh, I feel like this really represents where I'm at in this moment” and that felt really fulfilling. So I think kind of I wanted to do that again this time. And just I feel great about, like, pressing play and going like, I want to play something. And that's kind of why it ended up being the first song.” - 102.7 KIIS FM

HSNews

39,591 görüntüleme • 8 ay önce

Justin Thomas was asked about his group getting put on the clock: "We just didn't really agree with it. ... The hard part to me with the whole pace of play thing is that you, there's so much that goes into golf and there's so much that goes into hole to hole in terms of, are you hitting it close, are you able to tap it in, or you have to mark it, stuff like that, to where, are you holding the group up or are you not, to where it's very hard to make that call. And we just didn't agree with it, to be honest. "But we got taken off, and a hole later we were caught up. So it kind of goes to our point of why we didn't think we should of, but it is what it is. It's a part of it."
1:15

Justin Thomas was asked about his group getting put on the clock: "We just didn't really agree with it. ... The hard part to me with the whole pace of play thing is that you, there's so much that goes into golf and there's so much that goes into hole to hole in terms of, are you hitting it close, are you able to tap it in, or you have to mark it, stuff like that, to where, are you holding the group up or are you not, to where it's very hard to make that call. And we just didn't agree with it, to be honest. "But we got taken off, and a hole later we were caught up. So it kind of goes to our point of why we didn't think we should of, but it is what it is. It's a part of it."

Cameron Jourdan

619,272 görüntüleme • 4 ay önce

Old software engineering patterns are coming back because of coding agents. Dax Raad(dax), co-founder of AI coding agent OpenCode, on why DDD is becoming more relevant and less painful: “I think it's the same problem as always, which is how do you make code bases that are easy to work in, scalable, that can flex to new requirements. A lot of the old patterns for me are coming back. We've always been a big domain-driven design company. We did it in a very light way. We're now doing it in a much heavier way because we find that these, kind of boring, enterprisey patterns end up being pretty useful because you have a bunch of idiots on your team now. Coding agents are a bunch of idiots. They are going to work 24/7 and they're going to ship a lot of stuff so you need way more guardrails than you used to. What's nice is some of these old patterns we hated because they were very verbose, they produced reliable code that was modular and safe but they were very verbose and annoying to type out… you're not typing it out anymore. Now you can get the benefits of these patterns without the downsides."
1:03

Old software engineering patterns are coming back because of coding agents. Dax Raad(dax), co-founder of AI coding agent OpenCode, on why DDD is becoming more relevant and less painful: “I think it's the same problem as always, which is how do you make code bases that are easy to work in, scalable, that can flex to new requirements. A lot of the old patterns for me are coming back. We've always been a big domain-driven design company. We did it in a very light way. We're now doing it in a much heavier way because we find that these, kind of boring, enterprisey patterns end up being pretty useful because you have a bunch of idiots on your team now. Coding agents are a bunch of idiots. They are going to work 24/7 and they're going to ship a lot of stuff so you need way more guardrails than you used to. What's nice is some of these old patterns we hated because they were very verbose, they produced reliable code that was modular and safe but they were very verbose and annoying to type out… you're not typing it out anymore. Now you can get the benefits of these patterns without the downsides."

The Pragmatic Engineer

175,120 görüntüleme • 3 ay önce

Zack Snyder discusses virtual production technology with the Russo Bros. and explains why he chose to build practical sets for Rebel Moon: "The idea of this sort of virtual production that's really interesting is that it does come back around. The green screen environment is an exclusive world, right? "Like there's not a lot of guys that can make a movie with no sets. Because as it is now, there's a thousand visual effects artists between that green screen and it being in your movie. "In the virtual production version, anybody who walks in there with a camera... The desert is there. And they can go and film it. So in a lot of ways it's kind of... it demystifies visual effects a little bit. "The thing that I've always found a little off-putting about a big green screen environment is it's not really engaging for anybody. Even for us, even for the filmmakers. We've been looking at the concept, we know what it is. "And the actors especially are like, 'I don't know where the hell I am.' Like, 'I guess... Okay, whatever you guys say, I'll do it.'" Anthony Russo: "But for camera operators too, right? It's just like there's nothing to grab on to." Snyder: "Yeah, I don't know, tilt up to the mountain. What mountain?" Joe Russo: "No, no, it's a little higher." Snyder: "Yeah, exactly. I think it's a small mountain. "Anyway, but I do think that the introduction of this kind of virtual productions as a concept really brings sort of physicality back to visual effects. And sort of a fantastic world. "You really can, you know, you can feel it and see it. They can put Atmos in, it can really feel like you're in a place. Which is really just... You're more passionate about it, you know, filming it. "Like I did a small thing that we were just really more of an experiment. And I was really fascinated by like, you know, they're like, 'Okay, here's, we have a cave set with light shafts coming through these holes in the ceiling.' And then we were like, literally, you know, 'Okay, now we're in like this forest.' "And it was the same rocks, but suddenly they didn't look like- they worked in both spots. It was just, I was like, 'Wow, this is really...' And even the focus and everything, the wall understood the depth of field as well. "So like everything, like especially in the eyepiece was like, 'Wow, that's scary.' That's like, feels like I'm there. So I think there's huge potential and hugely exciting future for that technology. "You know, as it becomes more available to like, and also scale, I think, you know, from this to like also being able to have, you know, 100 guys standing around inside of, you know, a giant environment would be just, it's just cool. Which they're doing now anyway, everyone's doing it. "But what was funny, because like on the movie that we're working on now, we ended up, we took a deep dive into it. And it just, the reason why we ended up not doing it in the end was because we just, we have these big war scenes. "And I had like 100 guys, you know, and we were just like, I don't even like, the amount of French reverses I have to do, everyone's brains were exploding. "Because, you know, you're always like, I'm like, 'Oh, just flip the set again and flip the set again.' And then for his reverse, we flipped the set that way and we flipped the set that way. "And so we had to build all the, all in the design, everything was symmetrical, right? Like the bridges and the houses were kind of symmetrical. "So you could always be flipping and not tell... because the sets were all symmetrical. You could shoot them from both sides and it was kind of the same. But the audience couldn't tell because the backgrounds were not symmetrical. "So it was only the immediate stuff, you know. It was, so it was a bit of a brain teaser for everyone. And then in the end, we were like, because of the scale of the fighting, I was like, 'Oh, let's just...' "So now we're just building it up the road. "But it's cool. "It's fun to build a giant thing as well. Just to go there and like, 'Oh my God, we made a village.'
3:56

Zack Snyder discusses virtual production technology with the Russo Bros. and explains why he chose to build practical sets for Rebel Moon: "The idea of this sort of virtual production that's really interesting is that it does come back around. The green screen environment is an exclusive world, right? "Like there's not a lot of guys that can make a movie with no sets. Because as it is now, there's a thousand visual effects artists between that green screen and it being in your movie. "In the virtual production version, anybody who walks in there with a camera... The desert is there. And they can go and film it. So in a lot of ways it's kind of... it demystifies visual effects a little bit. "The thing that I've always found a little off-putting about a big green screen environment is it's not really engaging for anybody. Even for us, even for the filmmakers. We've been looking at the concept, we know what it is. "And the actors especially are like, 'I don't know where the hell I am.' Like, 'I guess... Okay, whatever you guys say, I'll do it.'" Anthony Russo: "But for camera operators too, right? It's just like there's nothing to grab on to." Snyder: "Yeah, I don't know, tilt up to the mountain. What mountain?" Joe Russo: "No, no, it's a little higher." Snyder: "Yeah, exactly. I think it's a small mountain. "Anyway, but I do think that the introduction of this kind of virtual productions as a concept really brings sort of physicality back to visual effects. And sort of a fantastic world. "You really can, you know, you can feel it and see it. They can put Atmos in, it can really feel like you're in a place. Which is really just... You're more passionate about it, you know, filming it. "Like I did a small thing that we were just really more of an experiment. And I was really fascinated by like, you know, they're like, 'Okay, here's, we have a cave set with light shafts coming through these holes in the ceiling.' And then we were like, literally, you know, 'Okay, now we're in like this forest.' "And it was the same rocks, but suddenly they didn't look like- they worked in both spots. It was just, I was like, 'Wow, this is really...' And even the focus and everything, the wall understood the depth of field as well. "So like everything, like especially in the eyepiece was like, 'Wow, that's scary.' That's like, feels like I'm there. So I think there's huge potential and hugely exciting future for that technology. "You know, as it becomes more available to like, and also scale, I think, you know, from this to like also being able to have, you know, 100 guys standing around inside of, you know, a giant environment would be just, it's just cool. Which they're doing now anyway, everyone's doing it. "But what was funny, because like on the movie that we're working on now, we ended up, we took a deep dive into it. And it just, the reason why we ended up not doing it in the end was because we just, we have these big war scenes. "And I had like 100 guys, you know, and we were just like, I don't even like, the amount of French reverses I have to do, everyone's brains were exploding. "Because, you know, you're always like, I'm like, 'Oh, just flip the set again and flip the set again.' And then for his reverse, we flipped the set that way and we flipped the set that way. "And so we had to build all the, all in the design, everything was symmetrical, right? Like the bridges and the houses were kind of symmetrical. "So you could always be flipping and not tell... because the sets were all symmetrical. You could shoot them from both sides and it was kind of the same. But the audience couldn't tell because the backgrounds were not symmetrical. "So it was only the immediate stuff, you know. It was, so it was a bit of a brain teaser for everyone. And then in the end, we were like, because of the scale of the fighting, I was like, 'Oh, let's just...' "So now we're just building it up the road. "But it's cool. "It's fun to build a giant thing as well. Just to go there and like, 'Oh my God, we made a village.'

Zack Snyder Film

23,149 görüntüleme • 8 ay önce

Angela White says calling yourself a "porn star" is cringe and compares adult performers to PROFESSIONAL ATHLETES. "I am in awe of them, but getting back to the porn star thing, I wouldn't even call myself a porn star. Like, that's cringy." "No, but you can call me that if you want. But if I'm like, I'm a porn star, like, it's just, you know, I'm a porn performer." "And calling yourself a star is kinda cringy, yeah." "It's a bit... I mean, you're a performer, it's not your I mean, this is kind of, this is your profession, right? So maybe you feel uncomfortable because really, like, this is your profession... I'm a porn hobbyist." "Yeah, there you go." "That really is how I feel too. It's like, I just pop in, I do a little bit of this, but it's just a very side thing." "Okay, you're an occasional porn performer, right?" "Yeah. Yeah, I am in awe of the performances that the males do on camera. Yeah, they're I mean, the females as well. We're all sexual athletes, really." "Athletes, huh? It feels like that every time you shoot or just some of the time?" "When I'm doing more, I don't like to call it extreme, but like when I'm doing acts that are more physically intensive, you are training for those acts, you're stretching like any kind of athlete would, you're preparing. I mean, we have to prepare our bodies day in, day out for the physical work that we do. We have to eat right, we have to be going to the gym, we have to keep our body in like a peak physical condition when we're doing anal or double anal or gangbangs, we're literally having to prepare our muscles for that intake......."
2:00

Angela White says calling yourself a "porn star" is cringe and compares adult performers to PROFESSIONAL ATHLETES. "I am in awe of them, but getting back to the porn star thing, I wouldn't even call myself a porn star. Like, that's cringy." "No, but you can call me that if you want. But if I'm like, I'm a porn star, like, it's just, you know, I'm a porn performer." "And calling yourself a star is kinda cringy, yeah." "It's a bit... I mean, you're a performer, it's not your I mean, this is kind of, this is your profession, right? So maybe you feel uncomfortable because really, like, this is your profession... I'm a porn hobbyist." "Yeah, there you go." "That really is how I feel too. It's like, I just pop in, I do a little bit of this, but it's just a very side thing." "Okay, you're an occasional porn performer, right?" "Yeah. Yeah, I am in awe of the performances that the males do on camera. Yeah, they're I mean, the females as well. We're all sexual athletes, really." "Athletes, huh? It feels like that every time you shoot or just some of the time?" "When I'm doing more, I don't like to call it extreme, but like when I'm doing acts that are more physically intensive, you are training for those acts, you're stretching like any kind of athlete would, you're preparing. I mean, we have to prepare our bodies day in, day out for the physical work that we do. We have to eat right, we have to be going to the gym, we have to keep our body in like a peak physical condition when we're doing anal or double anal or gangbangs, we're literally having to prepare our muscles for that intake......."

Dunmola♋

46,419 görüntüleme • 25 gün önce

Josh Allen explains how becoming a father has changed the way he handles the pressure of being a quarterback “I mean, I think, like I alluded to earlier, being my own worst critic, right? Sometimes I do get into a space of negative self-talk.” “But as you guys know with your kids, when you go home, they don't know anything about that. They don't care about that. They're just happy to see you.” “You know, that smile that hits their face when you walk into that door, there is nothing like it. Maybe it allows me to compartmentalize better of when I'm at work, it is all about work.” “When I step home, I can leave it at the door and be with my family and be a dad and be the best husband that I can be.” “So, I don't know. I think it just kind of sets a freshness, a newness, and it just kind of aligns with what else is going on in my professional career.”
0:38

Josh Allen explains how becoming a father has changed the way he handles the pressure of being a quarterback “I mean, I think, like I alluded to earlier, being my own worst critic, right? Sometimes I do get into a space of negative self-talk.” “But as you guys know with your kids, when you go home, they don't know anything about that. They don't care about that. They're just happy to see you.” “You know, that smile that hits their face when you walk into that door, there is nothing like it. Maybe it allows me to compartmentalize better of when I'm at work, it is all about work.” “When I step home, I can leave it at the door and be with my family and be a dad and be the best husband that I can be.” “So, I don't know. I think it just kind of sets a freshness, a newness, and it just kind of aligns with what else is going on in my professional career.”

Josh Chambers

91,874 görüntüleme • 4 gün önce

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

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

Mike

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