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$ASTS Abel Avellan on CNBC Full transcript: It is great to be speaking with you again. You've stayed very, very busy. There's a lot to get to here with you. But first, let's start with this idea of a joint venture between the largest U.S. telecom providers to add...

35,174 просмотров • 1 месяц назад •via X (Twitter)

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$ASTS | Scott Wisniewski at JP Morgan conference, May 18, 2026 Transcript - part 1 Good afternoon, everyone. I'm Sebastiano Petty, and I cover the telecom, cable, and satellite space here at J.P. Morgan. I'd like to welcome Scott Wisniewski, President and Chief Strategy Offer of ASTS Space Mobile. Scott, thanks for joining us. Thank you for having me. You're good. You're live. Can you hear me? All right. Thank you for having me. Great. So, Scott, just to start, let's zoom out. As you sit here in mid-2026, with Bluebirds launching, commercial service activation approaching, and the government pipeline accelerating, where are you spending most of your time as President and Chief Strategy Officer? And more broadly, what are your two to three highest priority objectives over the next 18 months as you transition from what has primarily been an R&D and manufacturing story into a scaled revenue-generating operating company? Thank you. And for those who don't know us that well, we were founded about a decade ago around the direct-to-device opportunity. That's what we do. That's our entire strategy. It's from space, of course, and we build our own satellites, and we'll be operating them and selling capacity on them. But at its core, we are a direct-to-device pure play. And over the years, I met our founder in January 2019, but over the years, telling our equity story, people always asked three questions. Does it work? Can you fund it? And how big will the market be, or will there be a market? And that's our traditional private company questions that we still got even as a public company for a while, and we really retired those risks in 2023, 2024, and 2025. And so this year, yeah, you're exactly right. Traditional growth stuff, scaling stuff is where we are. And for us, if I were to say two simple things, one is network deployment. The vast majority of the folks in the company are focused on exactly that, network deployment now for revenue in 2026 and 2027 and beyond. And then the second one is, I think, building the market out in the right way. This is a brand new service. It's a service that is at the very heart of connectivity. Remember, we all know the trends in connectivity. When I started my career in connectivity, there was a question, bubble, what inning are we in? When is the expansion going to end? And then, of course, AI comes along, and there's always something every couple of years. So for us, we're at the heart of connectivity. We can do coverage better than any terrestrial footprint by its very nature. And making connectivity work for our partners, the mobile network operators, and ultimately for the consumer mass market among other markets, is our focus. So building out that market is our second priority. Great. And let's address the news from last week. AT&T, Verizon, and T-Mobile announced a proposed joint venture to extend mobile connectivity using satellite-based D2D technologies. You guys put out a statement commending the announcement. Unpack this for us. What does this mean for ASTS in practice? Does it change your commercial positioning with the carriers? Does it accelerate or maybe even complicate your path to service? So we really value the carrier relationship. We've organized the business, the technology, the go-to-market strategy. Everything we do, really, is about making connectivity better for the mobile network operators. And so you see that in where we've prioritized the company over the years. You see that in how we've built out the tech. And even the network stack is organized with the RAN on the ground, so the operators control it. So that's really been our focus. We share their spectrum, although we also have our own spectrum now. And that's always been the approach. Part1, 1 (of 2)

Peter LINDM🅰️RK

29,453 просмотров • 1 месяц назад

Arteta on his role to re-energise the Arsenal team. 💪 “Certainly, when you lose a game, you have a lot of feelings because, especially, this group of players are so competitive and they seek for excellence and when you don't reach it, you ask yourself questions, and we did that. “But I think my role there as well is to bring optimism and reality about where we are, and yeah, our club has a long history. And to find a moment where, in February, we're in the position that we are, is very difficult to find. So guys, we are doing so many things so well, and let's focus mainly on that. And for sure, we want to improve, we want to be better in every area, but with that sense as well of self-confidence and conviction that we are in the right path. Anyone need to lift Arteta? “No, in these moments, no. Normally, I'm the opposite and when we are doing so well, I'm there with a stick to say, 'This is not good enough,' 'This is not good enough.' The other day, no, because I know how much they wanted the amount of games and the demands that we put on those players every day. “In those moments, they need to understand and feel that we are right behind them. I'm mainly responsible for that and they keep playing with that freedom, with that enjoyment, as I discussed the other day, and I make sure that that journey is beautiful because what is ahead is great and everybody has to be part of that but in a good sense and with good humor and with good optimism and looking forward to it.”

Connor Humm

17,767 просмотров • 5 месяцев назад

Asked Skylar Diggins about Seattle’s mentality/inability to close out games ahead of the playoffs: “I promise you, I swear I'm not even being facetious. If we had these answers to these questions, you know what I'm saying? This game is tough. It's hard to win in this league. It's hard to win in this league. And obviously, yes, we're disappointed with where we are, that we're in this predicament. But Nneka has said it in the past too. It's not going to be a woe is me. Games are still going to be played. You know, we still have to come out and compete. And most importantly, you know, we have to be professional. And you know, I lacked professionalism in that last press conference too. I want to apologize to the room. Apologize to Nneka. She always comes out here, handles herself exceptionally, and I handle myself poor. And you know, I got to be a better leader when it's hard and it's hard to be a leader. But I owe you that apology in front of everybody in the room. So I just wanted to say that before we left. But yeah, obviously it's tough. We're pissed. Yeah, that's what you guys want to hear? You want to see it. This is what it is when you're passionate. We do everything passionately, and that's what it is. We don't want to fucking be in this predicament. But here we are. So we're going to continue to show up and be pros every day, be leaders by example, how we come in and prepare and come out and get ready to compete, and that's all we can do. And if we don't do that, then we don't deserve to be in the playoffs.” @OffTheRecordW | #WNBA

christan (no i), ß

135,260 просмотров • 10 месяцев назад

THE MOST IMPORTANT Q&A OF MEDIA DAY. Mariana: You came from a very solid weekend on top of everything, but at the same time, it seems that you don't feel that the team is listening to you. Am I right? And how do you balance that? Lewis: I feel like we're going in the right direction. Rome wasn't built in one day, so it takes time to build. For me, coming into the team, I wanted to be respectful of the way they've done things in the past and just to really observe and see where our strengths and where our weaknesses are and to highlight where our weaknesses are and areas that we need to work on. But I do feel that they've been responding. I think you're starting to see, hopefully, some of the impact of the work that we're doing in the background and also into next year's car. This is a car that I've had nothing to do with in terms of developing this car over the years. Hopefully, from next year, my input goes into that car, and that will be a car that I've hopefully been a part of or will have been a part of developing. But I think we've got a really great rapport. I think we're really progressing, particularly since the summer break. I think things have started to get better, and it's all just about building trust and communication. Also, I'm coming into a team that English is not the first language, and I don't speak Italian, so it's finding a common ground. And the fact is we all want to win. We're all here to achieve the same thing, and we've got to just keep pushing. So that's why I'm trying to keep everyone motivated on difficult weekends, trying to keep everyone lifted up. But there have been many, many things we've changed this year that I suggested that they hadn't done in the past, and so they have been listening. It doesn't change straight away, just like that. It takes time to build. And as engineers, they really need proof. They need numbers. That's what they work on. So you have to sometimes push to get certain changes to be made, and then when you change it and then it works, you're like, okay. Mariana: That's what I was talking about.. Lewis: Yeah! - F1 2025 Mexico -

sim

170,303 просмотров • 8 месяцев назад

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

Mario Nawfal

241,051 просмотров • 1 год назад

Q: Esteban, new year, new rules, new car. You've had the first run out this morning at the Shakedown. What are the first impressions? How did the program go for you? Esteban Ocon: Yeah, feeling good. I think, frist of all, an unbelievable effort from the team really to put the car down, you know, at 9:20 this morning. But the was ready at 9:00 you know. We were waiting on a bit of a better track condition and a few things that we wanted to be perfect before we went out. But yeah, from Fiorano testing with Ollie to here there's been moving like people have climbed mountains really to make this car work and it's been really good. So, we are dealing with the plan, learning as it goes. Of course, it's a busy program that we have for the day. So you know, its gonna be difficult to complete it. But for the first real day of driving, I think so far it's going really well and we'll keep pushing to make sure that all the details are covered. But we have more days than normal which is a good thing. Q: Very early days, of course, but just how different are these cars to drive? Have you had a chance to play around a little bit with some of the new modes? Ocon: Yeah, it's very difficult, very complicated. I got lucky be able to do a lot of simulator days before we started the year, so we are pretty well set on that. Everything is clear, but yes, it's very complicated you know, for all of us. But I hope that this will be the same for everyone, because if it is we're in the same boat, so we'll see. Q: But I get the sense you're really relishing that challange and what about the priorities from here, the rest of the weel here at the shakedown? Ocon: Yeah, the aim is really to learn, to get mileage under the car, you know, see the weak points, what we have to improve really. First feel of things, so we are sure that we take the right development path and we are sure that we put the resources where it matters the most. Where it's the most bothering us, so you know, we'll try and put all that together for that end of the test. It's a long week, which is very good and then we have the chance to go back to Bahrain with hopefully, further step made, so that's the aim. #HaasF1 #F1Testing #F1

Lucho Yoma

12,593 просмотров • 5 месяцев назад

#WATCH | Delhi | Arjan Meijer, President and CEO, Embraer, says, "Embraer is very proud to stand here today. We're very, very pleased to sign our MOU with Adani. We see a bright future ahead of us here in India, and we believe the stars are aligning to advance the Make in India initiative. We believe there's a huge opportunity here with regional aircraft... In India, the current outstanding fleet we have today is around 800 units. But if you look at the backlog, we're looking at around 1,700 aircraft for the years ahead. But the regional part of that fleet is very small. So we really believe that, to develop India from within, the country needs a smaller-gauge aircraft to really help drive the country's GDP... The regional segment of jets is completely missing. If you see what the potential is in a country like India... So that's why we believe really that together with Adani we can work together with a goal to build the aircraft here in India, the exact aircraft type to be defined, so we will come back on that, but we are talking up to an assembly line, testing, delivery. We really believe in a partnership with Adani because they're very strong in supply chain, MRO, and pilot training, so we believe that, together, we can develop a very strong aviation ecosystem here in India. And of course, beyond that, we're very interested to work also with the Indian industry for much deeper localisation. We need to build our supply chain, and we believe that here in India, we can also do that with Indian partners ahead of us. So a potential first regional assembly line in India, that's what we're looking at here. We're very bullish about making that happen... But as I said, we want to develop the indigenous market over the years to make this a made-in-India aircraft. And that will allow India to really connect the second-tier and the third-tier cities in India. We know there's a lot of demand from smaller cities wanting to be connected to the bigger aerospace system. This will bring not only regional connectivity, this will bring economic and environmental benefits. It will facilitate business and trade across the country. We are very certain that we will boost tourism across the country and of course for every Indian provide everyday accessibility. So we believe the opportunity ahead of us is huge. And we're proud to be here today to announce the partnership with Adani, and we really look forward to making this a very successful future together here in India."

ANI

29,079 просмотров • 5 месяцев назад

‼️JUST NOW — powerful brief remarks by the leaders of Ukraine, the UK, France, and Germany in London: IN SHORT: Merz: “The coming days could be decisive for all of us. The destiny of this country is the destiny of Europe. Nobody should doubt our support for Ukraine. And this is what we are firmly standing behind. I'm skeptical about some of the details which we are seeing in the documents coming from the U.S. side.” Macron: "I think we have a lot of cards in our hands." Zelenskyy: "Our team came back, and I think that they will brief us about the last talks with Americans and after talks of Americans with Russians." Starmer: "If there's to be a ceasefire, it needs to be a just and lasting ceasefire. Matters about Ukraine are for Ukraine." FULL STATEMENTS: UK Prime Minister Keir Starmer: "But the principles remain, the principles that we've operated on for a very, very long time, which is that we stand with Ukraine, and if there's to be a ceasefire, it needs to be a just and lasting ceasefire. And that's why it's so important, that we repeatedly set out the principle forward that matters about Ukraine are for Ukraine. And we stand here to support you in the conflict and support you in the negotiations and make sure that this is a just and lasting settlement if we can get that far. You're very welcome for our discussions". President of Ukraine Volodymyr Zelenskyy: "Thank you very much, Kir. Thank you for organizing this meeting. Thank you, friends, Emmanuel and Friedrich, and thank you for our joint meeting. I think that it is very important now to organize such a meeting and discuss very sensitive issues regarding these talks that we had, in the United States and between us. Our team came back, and I think that they will brief us about the last talks with Americans and after talks of Americans with Russians. I think there are lot of what we have to discuss and speak about. So there are a lot of things which are very important for today. I think, unity between Europe and Ukraine, and also unity between Europe, Ukraine, and the U.S. There are some things which we can't manage without Americans, things which we can't manage without Europe, and that's why we need to make some important decisions". President of France Emmanuel Macron: "And thank you Volodymyr for being with us. You are always welcome. In France, I think we all support Ukraine, and we all support peace. And peace negotiations to have sustainable, robust peace. And I think we have a lot of cards in our hands. The financing and the quality of equipments and training programs to Ukraine, the fact that Ukraine is resisting in this war, and the fact that the Russian economy is starting to suffer, especially after our latest sanctions and the US sanctions. And now I think the main issue is the convergence between our common positions, Europeans and Ukrainians, and the U.S. to finalize these, peace negotiations and re-engage in a new phase in the best possible conditions for Ukraine, for the Europeans, and for our collective security". Chancellor of Germany Friedrich Merz: "I highly appreciate that we are having the opportunity to see you, Volodymyr, together with Emmanuel, and talking about the upcoming days, because this could be a decisive time for all of us. We are trying to continue our support for Ukraine, as you know. On the other hand, we are seeing these talks and negotiations in Moscow and in the U.S. I'm looking forward to hear from you what the outcome of these talks might be. And we are still and remain strongly behind Ukraine and giving support to your country, because we all know that the destiny of this country is the destiny of Europe. So that's the reason why we are here, trying to figure out what we can do. And nobody should doubt on our support for Ukraine. And this is what we are firmly standing behind. And the outcome is open. I'm skeptical about some of the details which we are seeing in the documents coming from the U.S. side, but we have to talk about that. That's why we are here".

Kateryna Lisunova

373,089 просмотров • 7 месяцев назад

Don’t Scroll—God Is Calling You to Submit and Move Praise the Lord that He has given us such a commission and such a call and we should be humbled by that and we should want to go out for His kingdom and do that. All of you are usable by God. There is not one of you that is not usable if you're only willing to submit. We all fall short. It's a matter of who is willing. Here I am, Lord, send me. That's what Isaiah said. Here I am. Send me. You are all usable. When a lot of you out there go, well, what can I do for God in my life? There's a lot you can do. If you're only willing to be picked up as an instrument in his Hands and implemented the way you were created to move. Many of you are operating outside the realm of what you were created to be. And in this season, that's going to be reconciled. And many of you are going to change course in this season drastically. Because you're in jobs, you're in areas, you're doing things, you were not created to do. You have gifts for it, but you weren’t created to do it. And there's going to be massive shifts in many of your lives and a sudden turn. And the Lord is going to realign. And this is going to be quick when He does it. Realign you into the position, redirect you and put you on that course because time is short and He needs you operating in what you were created to do. He needs that right now. And many of you are going to enter that process in this season. So praise the Lord because you are. You will enter that process and you will be redirected. And you will do what is written about you in the books of heaven, what you were created to do on this earth. Because many of you know and feel uncomfortable and know you're not in your call. You know you are just trying to try to endure, you're trying to survive. And it's because you're not in your call. Surrender to God, allow Him to redirect you into your call and your purpose that you were beautifully created to do. Because it's needed in this season and we cannot dilly dally anymore and go dabbling in things we are not created to do. It's time for us to go to work and it's time for us to be willing to go there.

Amanda Grace

12,379 просмотров • 2 месяцев назад

🔥NOW: RFK Jr. tells Dr. Drew how he plans to attack the epidemic of addiction in America: "In the 20-year Vietnam war, we lost 56,000 American kids. So we're losing almost double that every year from this disease. You'd think that the trillion dollars we put into that war and the daily preoccupation on the news, the nightly news coverage for 20 years the presidential elections that were fixated on it, and it's half the number of people that are effected every single year. Our communities are being torn apart. We need to give this the same priority. I'm very reluctant to dictate a government solution. What we found from touring, this is a small fraction of the places we actually visited. I wanted to see every place that's doing this right, and what we found is there's a tremendous diversity of approaches that are working very very well. One thing almost all of them have in common is that they don't have government support. And so I'm very reluctant to get the government involved in a way that is going to micromanage places like this. I want to make the government support them and that may be through land purchases and through those kinds of contracts but I don't want the government to be coming in and micromanaging. I think this has to be run by NGOs and we have to use a lot of different approaches. You know Franklin Roosevelt when he was launching the New Deal said 'We're going to try these programs and we're going try something one thing at a time and if it doesn't work we're going to abandon it and were going to try something else, but were always going to be trying something.' And all I can guarantee, I can't tell you right now that there's one solution or even a multiplicity of solutions but what I can tell you is that in my administration we're going to solve the problem because I'm going to focus on it. And if there are things that are working we're going to create ecosystems in which those kinds of solutions can proliferate.

Tayyy

144,322 просмотров • 2 лет назад

The Rapid Growth of SpaceX, Starlink, Starshield & Armada: “I am very grateful that SpaceX is an American company.” "Data centers in space is coming, & it makes sense" “5 years ago they hadn’t even launched Starlink—now it’s in 150 countries & it’s continuing to grow every week.” “It’s an unfair advantage that we have with Starshield.” “If the world can get access to SpaceX, I think that’s a good thing.” Dan Wright (Dan Wright), CEO of Armada Elon (Elon Musk) builds long-term advantage, then unleashes it at massive scale: SpaceX, Starlink, Tesla, Neuralink, xAI.. . . . "We started the company working with SpaceX & they’ve continued to be a great partner for us. What that means is that as SpaceX rolls out throughout the world—& most people don’t know 5 years ago they hadn’t even launched Starlink —it’s in 150 countries & it’s continuing to grow every week. We are the first mover when it comes to the infrastructure, & that partnership works really well because we complement the connectivity with the infrastructure & the AI. We always are at the edge. It’s funny, I get messages from our team all the time & it’s like the most crazy places you can imagine. And the edge is gonna continue to get redefined. I get calls literally—I was on the call with somebody and they’re like, “Hey, can we get one of these in Antarctica?” I’m like, “Well yeah, Starlink’s live in Antarctica. No reason why we can’t do that.” Obviously data center in space is the new hotness. Everybody’s talking about it." "Yeah, what’s the deal with that—so are you gonna get these in space?" :They are modular. I mean the edge is continuing—this is actually a debate that we have in terms of how soon it’s going to happen—but it’s definitely going to happen. Data centers in space is coming, and it makes sense, right? If you think about what SpaceX is talking about with Starship going to the moon—you’re going to need compute, especially as you start to think about Optimus robots building bases on the moon, later Mars. You’re going to need large amounts of compute. Not to mention a lot of the things that we do here on Earth, you’re gonna want to do there in space. And it’s a lot more efficient to do it, especially in hostile environments, if you can automate more of that—things like mining, for example. And so you’re gonna see data centers in space, and I’m sure we’re definitely gonna be a part of it. "What do you think about SpaceX’s rumored IPO for 2026?" "I mean, I think SpaceX is an incredible company and they have a ton of value. So I don’t have any insider information here—but I would say, hey, if the world can get access to SpaceX, I think that’s a good thing. Starlink is really amazing in the sense that it just continues to get better so fast. They’re rolling out in new countries every week in major markets. Just as a real recent example, just this last week they launched in South Korea—big market and an important ally for the US, so that’s a big deal. They’re also expanding the types of services that are available. It started as a consumer product, then they brought it to enterprise. Initially that was used more as a backup, and now it’s being used more as a primary—and that is because the service keeps getting better and better as more satellites go up into the sky. Each generation of satellite is also better, not to mention the terminals on the ground. There’s now multiple types of terminals, including the more recent minis that people really like—“Hey, I can put it in a backpack if I go on a hike or if I’m traveling. I can put it on the ski rack of my car.” Perfect internet all the time. All that does for us is it gives us more use cases that we can unlock. Now that you have connectivity on the oil rig, or on a farm, or a ranch—wherever you are—we can apply the AI to those situations on the ground without latency, and then send the metadata back to some other location that they want it. Part of the full-stack approach. And also with Starshield—that’s a huge advantage when you think about some of the conflicts that are going on. People talk to me a lot about this race with China and the geopolitical conflicts around the world. I am very grateful that SpaceX is an American company. I feel like it’s an unfair advantage that we have with Starshield available to the DoD. We want to be the first mover with the infrastructure and the AI to help solve problems at the edge, and the work we’re doing with the Navy is a good example of that."

Molly O’Shea

30,317 просмотров • 5 месяцев назад

YOKO ONO: ONOCHORD, VENICE, 2004 Yoko: The world is divided in two industries. One is the War Industry and the other is the Peace Industry. The people in the War Industry are totally together. They don't have to talk to each other, even. They know exactly what they want to do. They want to go out there, kill and make money. But the people in the Peace Industry, which are us - we are so idealistic that each one of us criticises the other Peace Person in the Peace Industry. And we are always just arguing and we are wasting our energies doing that. So let's just forgive each other and see that we are in the Peace Industry and that's all that counts. Even if you are not marching for peace, just be yourself, being a florist, being a merchant, being a talior, anything. That way you're contributing to the Peace Industry. People are just concentrating on fear, confusion and anger. And therefore just for a moment, I'd like us to think about Love. In a very magical, straight way, John and I met in London and from then on we stood for Peace and Love. And when I do this kind of event. Well it is... I was inspired to do it, but I still think that I'm still with John in spirit. John and I created the country called Nutopia. Not Utopia, because there was Utopia as a concept already. And we wanted to create a new concept, so we just added N on it - Nutopia - and as a country. Well, that is the concept of a country. And we all are citizens of that country. And in my apartment in the Dakota Building, we put a little plaque on the back door, the kitchen door. It says 'Nutopian Embassy' and even now we have that. (laughs). Nutopia exists in our minds. And because of that, some people want to rebel against it. The reason some want to rebel against it is a good proof that it exists. I think that it was a terrible thing that happened in Chechnya. But we have to still keep our hopes up. And instead of giving up, we have to keep on sending the message of Love to each other. You say that I am the Ambassador of Peace. We are all Ambassadors of Peace. You are too. Everybody in this room are Ambassadors of Peace. Just the fact that we are not participating in War. The fact that we are here, and we are what we are, means that we are in the Peace Industry. All of us. John and I used to say that our apartment in the Dakota is a conceptual monastry, just for the two of us. And when we go out of the Dakota, we get so many people communicating with us, so it's very important that we had silence and quietness. And my apartment is a very small space compared to the world. And I need that for my peace of mind. You should be kind to each other. You should come together, hug each other, love each other, express our love to each other and we should make it work. We should finally create a world that is a totally an Earth for Us. So let's do it. Yoko Ono, OpenAsia Press Conference, whilst exhibiting Onochord, 2004 by Yoko Ono (Nutopia) at the Venice Biennale: OpenAsia 2004, Lido Di Venezia, Venice, Italy, 9 September 2004.

Yoko Ono

35,208 просмотров • 2 лет назад

Jensen to AI Leaders: “We have to be far more thoughtful” when communicating to the public Jensen Huang: “(AI) is not a biological being. It is not alien. It is not conscious. It is computer software.” “We say things like, ‘We don't understand it at all.’ It is not true. We understand a lot of things about this technology.” Chamath: “If you were in the seat in the boardroom of Anthropic over that whole scuttlebutt with the Department of War, what do you think you would've told Dario and that team to do, maybe, differently to try to change some of this outcome and some of this perception?” Jensen: “The first thing that I would say about Anthropic is, first of all, the technology is incredible. We are a large consumer of Anthropic technology.” “The desire to warn people about the capability of the technology is also really terrific.” “We just have to make sure that we understand that the world has a spectrum, and that warning is good, scaring is less good because this technology is too important to us.” “I think that it is fine to predict the future, but we need to be a little bit more circumspect. We need to have a little bit more humility, that, in fact, we can't completely predict the future.” “And to say things that are quite extreme, quite catastrophic, that there's no evidence of it happening, could be more damaging than people think.” “And of course we are technology leaders.” “There was a time when nobody listened to us, but now because technology is so important in the social fabric, such an important industry, so important to national security, our words do matter.” “And I think we have to be much more circumspect, we have to be more moderate, we have to be more balanced, we have to be far more thoughtful.”

The All-In Podcast

56,915 просмотров • 3 месяцев назад

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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