IoT Coffee Talk: Episode 282 - "Zombie Tech & Hype" (Getting IoT and Edge Right This Time!)
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You who are Van Halen fans, you know, You who are Van Halen fans, you know, and guitar players, you know, that is and guitar players, you know, that is and guitar players, you know, that is one of the toughest songs to figure out. one of the toughest songs to figure out. one of the toughest songs to figure out. And just a little secret, he drops the And just a little secret, he drops the And just a little secret, he drops the E, E, E, uh, the, you know, low E down to a D. uh, the, you know, low E down to a D. uh, the, you know, low E down to a D. And, um, And, um, And, um, >> that's the trick. >> that's the trick. >> that's the trick. >> Yeah. And the chord, the little riffs >> Yeah. And the chord, the little riffs >> Yeah. And the chord, the little riffs that he has for each of the chords, that he has for each of the chords, that he has for each of the chords, super efficient. And, um, it looks like super efficient. And, um, it looks like super efficient. And, um, it looks like it he's it sounds like he's doing a lot it he's it sounds like he's doing a lot it he's it sounds like he's doing a lot of complicated stuff, but he's just of complicated stuff, but he's just of complicated stuff, but he's just working around chords, man. It's like working around chords, man. It's like working around chords, man. It's like crazy just doing like muting certain crazy just doing like muting certain crazy just doing like muting certain rhythmically mut muting certain strings rhythmically mut muting certain strings rhythmically mut muting certain strings >> and the man was a genius. He was a >> and the man was a genius. He was a >> and the man was a genius. He was a genius genius genius and that's why people love him, you and that's why people love him, you and that's why people love him, you know, especially his rhythm playing. Um, know, especially his rhythm playing. Um, know, especially his rhythm playing. Um, a lot of people talk about his solo a lot of people talk about his solo a lot of people talk about his solo stuff stuff stuff h you know, but there all there's also a h you know, but there all there's also a h you know, but there all there's also a camp that uh reminds all of us that camp that uh reminds all of us that camp that uh reminds all of us that Eddie's um rhythm playing was awesome.
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Eddie's um rhythm playing was awesome. Eddie's um rhythm playing was awesome. But But But >> that's for sure. >> that's for sure. >> that's for sure. >> What's up, Pete? >> What's up, Pete? >> What's up, Pete? >> Well, here in San Francisco, I'm >> Well, here in San Francisco, I'm >> Well, here in San Francisco, I'm actually in Union Square. actually in Union Square. actually in Union Square. >> A nice sunny table and uh a lot of >> A nice sunny table and uh a lot of >> A nice sunny table and uh a lot of tourists coming by. Someone asked me tourists coming by. Someone asked me tourists coming by. Someone asked me last night if I was a tourist and I Ever last night if I was a tourist and I Ever last night if I was a tourist and I Ever recently I said no. Like I lived here recently I said no. Like I lived here recently I said no. Like I lived here for like 14 years and then I'm like no for like 14 years and then I'm like no for like 14 years and then I'm like no actually I am a tourist. >> I love that. Yeah. >> I love that. Yeah. >> So yeah it's good to be here. I was here >> So yeah it's good to be here. I was here >> So yeah it's good to be here. I was here for a couple of days. So it's flying for a couple of days. So it's flying for a couple of days. So it's flying back today. back today. back today. >> But you're working though, right? >> But you're working though, right? >> But you're working though, right? >> Yes. Yes. Yes. I'm not here on a uh >> Yes. Yes. Yes. I'm not here on a uh >> Yes. Yes. Yes. I'm not here on a uh >> trade seeing thing. you know, we had a >> trade seeing thing. you know, we had a >> trade seeing thing. you know, we had a uh it's SF Tech Week and so there's a uh it's SF Tech Week and so there's a uh it's SF Tech Week and so there's a whole series of events throughout the whole series of events throughout the whole series of events throughout the city put on by different companies and city put on by different companies and city put on by different companies and they're all free and you just come and they're all free and you just come and they're all free and you just come and learn new stuff. So we had one last learn new stuff. So we had one last learn new stuff. So we had one last night at the Hanwa AI Center. night at the Hanwa AI Center. night at the Hanwa AI Center. >> Oh. >> Oh. >> Oh. >> Here right off of Union Square and um >> Here right off of Union Square and um >> Here right off of Union Square and um had about I don't know about 80 people had about I don't know about 80 people had about I don't know about 80 people there talking about the future is local. there talking about the future is local. there talking about the future is local. So we're talking about local AI or edge So we're talking about local AI or edge So we're talking about local AI or edge AI. AI. AI. >> Yeah.
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>> Yeah. >> Yeah. >> And we had Qualcomm there, myself >> And we had Qualcomm there, myself >> And we had Qualcomm there, myself >> foundation. We had Fento AI was the >> foundation. We had Fento AI was the >> foundation. We had Fento AI was the coordinator. coordinator. coordinator. >> Uhhuh. >> Uhhuh. >> Uhhuh. >> And the supplier of delicious foods. Um >> And the supplier of delicious foods. Um >> And the supplier of delicious foods. Um >> Yeah. And it was a good good chat, a >> Yeah. And it was a good good chat, a >> Yeah. And it was a good good chat, a little panel discussion and a lot of lot little panel discussion and a lot of lot little panel discussion and a lot of lot of not surprisingly a lot of innovation of not surprisingly a lot of innovation of not surprisingly a lot of innovation and ideas going here about startups and ideas going here about startups and ideas going here about startups trying to do interesting things with trying to do interesting things with trying to do interesting things with crazy small language models and crazy small language models and crazy small language models and >> Yeah. and kind of private AI agents and >> Yeah. and kind of private AI agents and >> Yeah. and kind of private AI agents and all kinds of cool stuff. all kinds of cool stuff. all kinds of cool stuff. >> Yeah. So, um bit of advice to all those >> Yeah. So, um bit of advice to all those >> Yeah. So, um bit of advice to all those guys, just listen to IoT Coffee Talk. guys, just listen to IoT Coffee Talk. guys, just listen to IoT Coffee Talk. We'll see. We'll see. We'll see. >> There you go. Be their first stop. >> There you go. Be their first stop. >> There you go. Be their first stop. >> Totally mean that. I was at Semicon West >> Totally mean that. I was at Semicon West >> Totally mean that. I was at Semicon West this week. Um, and I'm telling you, you this week. Um, and I'm telling you, you this week. Um, and I'm telling you, you know, digital twin, IoT, it's all know, digital twin, IoT, it's all know, digital twin, IoT, it's all becoming a really big thing because becoming a really big thing because becoming a really big thing because these fabs, especially as um they these fabs, especially as um they these fabs, especially as um they continue to move toward, you know, like continue to move toward, you know, like continue to move toward, you know, like the atom the atom the atom literally in terms of literally in terms of literally in terms of >> Yeah. >> Yeah. >> Yeah. >> the >> the >> the >> process.
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>> process. >> process. >> Yeah. It's it's insanity. I mean, you >> Yeah. It's it's insanity. I mean, you >> Yeah. It's it's insanity. I mean, you literally have gates that are like 10 literally have gates that are like 10 literally have gates that are like 10 atoms wide or some insane atoms wide or some insane atoms wide or some insane >> scale that we're talking about. uh IoT >> scale that we're talking about. uh IoT >> scale that we're talking about. uh IoT uh digital is winning all these things uh digital is winning all these things uh digital is winning all these things really matter and guess what really matter and guess what really matter and guess what as far as the conversation as far as the conversation as far as the conversation you know the conversations that I've you know the conversations that I've you know the conversations that I've witnessed there they could listen and witnessed there they could listen and witnessed there they could listen and learn a lot from IoT coffee talk cuz learn a lot from IoT coffee talk cuz learn a lot from IoT coffee talk cuz they're about to make the same mistakes they're about to make the same mistakes they're about to make the same mistakes >> that efforts be made. So anyways, I >> that efforts be made. So anyways, I >> that efforts be made. So anyways, I wanted to put that out there because wanted to put that out there because wanted to put that out there because literally I'm almost sick and tired of literally I'm almost sick and tired of literally I'm almost sick and tired of having to repeat all the, you know, same having to repeat all the, you know, same having to repeat all the, you know, same principles about for six years and principles about for six years and principles about for six years and people, you know, making the same people, you know, making the same people, you know, making the same mistakes as these words kind of mistakes as these words kind of mistakes as these words kind of >> recursively >> recursively >> recursively um appear, reappear. um appear, reappear. um appear, reappear. Um anyway, they're like zombies. But um Um anyway, they're like zombies. But um Um anyway, they're like zombies. But um hey everyone, welcome to Coffee Talk.
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hey everyone, welcome to Coffee Talk. hey everyone, welcome to Coffee Talk. Um, remember Um, remember Um, remember we're here just to have fun, have a we're here just to have fun, have a we're here just to have fun, have a conversation that hopefully will produce conversation that hopefully will produce conversation that hopefully will produce some insights that might change your some insights that might change your some insights that might change your life and change your business, maybe life and change your business, maybe life and change your business, maybe even your career, maybe even humanity. even your career, maybe even humanity. even your career, maybe even humanity. >> Wow. >> Wow. >> Wow. >> Right. Wow. I know. Insane, right, Pete? >> Right. Wow. I know. Insane, right, Pete? >> Right. Wow. I know. Insane, right, Pete? Uh, but Uh, but Uh, but um, take any of our advice or whatever um, take any of our advice or whatever um, take any of our advice or whatever we're talking about here uh, at your own we're talking about here uh, at your own we're talking about here uh, at your own peril. In fact, I think you know it's peril. In fact, I think you know it's peril. In fact, I think you know it's highly recommended that you take out an highly recommended that you take out an highly recommended that you take out an insurance policy insurance policy insurance policy any decisions you make are entirely any decisions you make are entirely any decisions you make are entirely your responsibility. So again having fun your responsibility. So again having fun your responsibility. So again having fun and and and uh we hope you enjoy the show but uh uh we hope you enjoy the show but uh uh we hope you enjoy the show but uh >> it's just me and Pete >> it's just me and Pete >> it's just me and Pete >> here we are. >> here we are. >> here we are. >> Yeah. So, uh, big news, uh, is Qualcomm. >> Yeah. So, uh, big news, uh, is Qualcomm. >> Yeah. So, uh, big news, uh, is Qualcomm. Actually, you mentioned Qualcomm Actually, you mentioned Qualcomm Actually, you mentioned Qualcomm earlier.
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earlier. earlier. >> Yeah, we had someone from Edge Impulse >> Yeah, we had someone from Edge Impulse >> Yeah, we had someone from Edge Impulse on the panel last night and she said, on the panel last night and she said, on the panel last night and she said, "Oh, I'm from Edge Impulse, which is a "Oh, I'm from Edge Impulse, which is a "Oh, I'm from Edge Impulse, which is a Qualcomm company." And then I said, Qualcomm company." And then I said, Qualcomm company." And then I said, "Well, what company isn't a Qualcomm "Well, what company isn't a Qualcomm "Well, what company isn't a Qualcomm company these days?" You know, company these days?" You know, company these days?" You know, >> buying everything. >> buying everything. >> buying everything. >> He's buying it up, man. >> He's buying it up, man. >> He's buying it up, man. >> He's buying it up. Yeah. So, the Arduino >> He's buying it up. Yeah. So, the Arduino >> He's buying it up. Yeah. So, the Arduino Arduino acquisition. That's fascinating Arduino acquisition. That's fascinating Arduino acquisition. That's fascinating and the new board stuff but and the new board stuff but and the new board stuff but >> you know it's like it's not uh >> you know it's like it's not uh >> you know it's like it's not uh >> it's not news that a lot of these >> it's not news that a lot of these >> it's not news that a lot of these hardware providers or people on hard hardware providers or people on hard hardware providers or people on hard tech are kind of going up the stack tech are kind of going up the stack tech are kind of going up the stack >> you know to get beyond beyond the >> you know to get beyond beyond the >> you know to get beyond beyond the silicon to get software and tools and silicon to get software and tools and silicon to get software and tools and >> you know tool chains and you know >> you know tool chains and you know >> you know tool chains and you know platforms and they want developer platforms and they want developer platforms and they want developer communities you know and they communities you know and they communities you know and they >> it's really been a 180 I think the past >> it's really been a 180 I think the past >> it's really been a 180 I think the past few years um maybe the lessons learned few years um maybe the lessons learned few years um maybe the lessons learned you're talking about lessons learned you're talking about lessons learned you're talking about lessons learned that you need to have more of a that you need to have more of a that you need to have more of a solution. You know, you need to get you solution. You know, you need to get you solution. You know, you need to get you need to get customers 80% there, 90% need to get customers 80% there, 90% need to get customers 80% there, 90% there if you really want them to get there if you really want them to get there if you really want them to get over the line with deployed solutions over the line with deployed solutions over the line with deployed solutions faster. So, faster. So, faster. So, >> yeah, >> yeah, >> yeah, >> I think Qualcomm's making making some >> I think Qualcomm's making making some >> I think Qualcomm's making making some great investments to to do that. So, great investments to to do that. So, great investments to to do that. So, good for them.
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good for them. good for them. >> Yeah. And I spoke to Masimo actually, >> Yeah. And I spoke to Masimo actually, >> Yeah. And I spoke to Masimo actually, >> was it two years ago? Yeah, two years >> was it two years ago? Yeah, two years >> was it two years ago? Yeah, two years ago. And um I went to their booth and he ago. And um I went to their booth and he ago. And um I went to their booth and he was telling me about how they're looking was telling me about how they're looking was telling me about how they're looking to make kits a little bit more indust to make kits a little bit more indust to make kits a little bit more indust >> commercial grade. Yeah. commercial grade >> commercial grade. Yeah. commercial grade >> commercial grade. Yeah. commercial grade industry. industry. industry. >> It's not like a it it's not like a new >> It's not like a it it's not like a new >> It's not like a it it's not like a new thing for them. In fact, thing for them. In fact, thing for them. In fact, >> it dovetales really well with, you know, >> it dovetales really well with, you know, >> it dovetales really well with, you know, the having Qualcomm come into the the having Qualcomm come into the the having Qualcomm come into the picture dovetales really well with what picture dovetales really well with what picture dovetales really well with what they've intended on doing anyways. And they've intended on doing anyways. And they've intended on doing anyways. And you know, they've been partnering with you know, they've been partnering with you know, they've been partnering with other chip makers, right? S uh ST Micro, other chip makers, right? S uh ST Micro, other chip makers, right? S uh ST Micro, uh NXP, and others. And you know my uh NXP, and others. And you know my uh NXP, and others. And you know my impression is just because Qualcomm impression is just because Qualcomm impression is just because Qualcomm uh has acquired the company it doesn't uh has acquired the company it doesn't uh has acquired the company it doesn't mean that that dynamic goes away right mean that that dynamic goes away right mean that that dynamic goes away right um um um >> true true I mean there is the other side >> true true I mean there is the other side >> true true I mean there is the other side is you know how how interested will is you know how how interested will is you know how how interested will other chip companies be interested in other chip companies be interested in other chip companies be interested in working with them you know since the working with them you know since the working with them you know since the check will ultimately go to Qualcomm so check will ultimately go to Qualcomm so check will ultimately go to Qualcomm so that probably will pull a little bit of that probably will pull a little bit of that probably will pull a little bit of a thing but I you know a thing but I you know a thing but I you know >> sort of but I mean you know it's not a >> sort of but I mean you know it's not a >> sort of but I mean you know it's not a it's not a huge business to begin with it's not a huge business to begin with it's not a huge business to begin with do you know what I'm saying and I think do you know what I'm saying and I think do you know what I'm saying and I think uh what what's probably more important uh what what's probably more important uh what what's probably more important even though this was a little bit of a even though this was a little bit of a even though this was a little bit of a head scratcher for me originally cuz I head scratcher for me originally cuz I head scratcher for me originally cuz I you know when the announcement came out you know when the announcement came out you know when the announcement came out I say hey wow this is really cool but I I say hey wow this is really cool but I I say hey wow this is really cool but I don't I really don't get the gig right
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don't I really don't get the gig right don't I really don't get the gig right um and you know uh I Nicole will um and you know uh I Nicole will um and you know uh I Nicole will emphasize the uh developer community and emphasize the uh developer community and emphasize the uh developer community and I think that's really what's probably I think that's really what's probably I think that's really what's probably and it sounded a little bit cliche when and it sounded a little bit cliche when and it sounded a little bit cliche when he said it but then now that I think he said it but then now that I think he said it but then now that I think about it more and I wrote a piece on it about it more and I wrote a piece on it about it more and I wrote a piece on it it makes a lot of sense and that's what it makes a lot of sense and that's what it makes a lot of sense and that's what everyone's going to want to have. But um everyone's going to want to have. But um everyone's going to want to have. But um you know I think there's a an ecosystem you know I think there's a an ecosystem you know I think there's a an ecosystem strategy or approach that Falcom can strategy or approach that Falcom can strategy or approach that Falcom can take where he does where they don't take where he does where they don't take where he does where they don't alienate all the uh existing ecosystem alienate all the uh existing ecosystem alienate all the uh existing ecosystem partners. Right. partners. Right. partners. Right. >> Right. So, >> Right. So, >> Right. So, >> uh, and you know, I think, um, Qualcomm >> uh, and you know, I think, um, Qualcomm >> uh, and you know, I think, um, Qualcomm is really well aware of that, is really well aware of that, is really well aware of that, >> uh, because, you know, they don't, you >> uh, because, you know, they don't, you >> uh, because, you know, they don't, you know, I I think the golden goose is the know, I I think the golden goose is the know, I I think the golden goose is the quoteunquote deliver, you know, the quoteunquote deliver, you know, the quoteunquote deliver, you know, the development or developer or builder development or developer or builder development or developer or builder community and they don't want to kill community and they don't want to kill community and they don't want to kill what, right? Right. what, right? Right. what, right? Right. >> Goose of the, you know, of the >> Goose of the, you know, of the >> Goose of the, you know, of the >> Yeah. No, I agree. I agree. I think it's >> Yeah. No, I agree. I agree. I think it's >> Yeah. No, I agree. I agree. I think it's uh I think they're I'm sure they're uh I think they're I'm sure they're uh I think they're I'm sure they're going to try to keep things just like going to try to keep things just like going to try to keep things just like with Edge Impulse, you know, open and with Edge Impulse, you know, open and with Edge Impulse, you know, open and available for multiplatform. That's the available for multiplatform. That's the available for multiplatform. That's the strength of the of the offerings, strength of the of the offerings, strength of the of the offerings, frankly, is that developer ecosystem.
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frankly, is that developer ecosystem. frankly, is that developer ecosystem. So, um So, um So, um >> you know, pulling those folks into the >> you know, pulling those folks into the >> you know, pulling those folks into the Qualcomm orbit makes sense and yeah, and Qualcomm orbit makes sense and yeah, and Qualcomm orbit makes sense and yeah, and Qualcomm isn't someone, as you know, Qualcomm isn't someone, as you know, Qualcomm isn't someone, as you know, who's traditionally has had like a who's traditionally has had like a who's traditionally has had like a gigantic software developer ecosystem gigantic software developer ecosystem gigantic software developer ecosystem for platforms, right? So, this is a for platforms, right? So, this is a for platforms, right? So, this is a whole new muscle for them. whole new muscle for them. whole new muscle for them. >> Yeah. Yeah. And you know, they're not >> Yeah. Yeah. And you know, they're not >> Yeah. Yeah. And you know, they're not necessarily going to go down, I don't necessarily going to go down, I don't necessarily going to go down, I don't think, down to the microcontroller think, down to the microcontroller think, down to the microcontroller level. Um, that's where why I think the level. Um, that's where why I think the level. Um, that's where why I think the um um um um Oh my god, I keep forgetting the name um Oh my god, I keep forgetting the name um Oh my god, I keep forgetting the name of the the thing. Q Mono. of the the thing. Q Mono. of the the thing. Q Mono. >> Yeah, >> Yeah, >> Yeah, she's going to kill me. Um, yeah, that she's going to kill me. Um, yeah, that she's going to kill me. Um, yeah, that Uno Q. Uno Q. Uh that's why I think that Uno Q. Uno Q. Uh that's why I think that Uno Q. Uno Q. Uh that's why I think that one that thing's interesting because it one that thing's interesting because it one that thing's interesting because it it has a microcontroller in it. ST it has a microcontroller in it. ST it has a microcontroller in it. ST micro, right? micro, right? micro, right? >> Mhm. >> Mhm. >> Mhm. >> Controller plus the Dragon Wing. >> Controller plus the Dragon Wing. >> Controller plus the Dragon Wing. >> Yeah. >> Yeah. >> Yeah. >> It's um it it's kind of like that >> It's um it it's kind of like that >> It's um it it's kind of like that leading edge um new class. I don't want leading edge um new class. I don't want leading edge um new class. I don't want to say that it's new, but it is sort of to say that it's new, but it is sort of to say that it's new, but it is sort of new class of smarter new class of smarter new class of smarter endpoint, industrial endpoint um device endpoint, industrial endpoint um device endpoint, industrial endpoint um device type stuff. Yeah. Yeah. No, definitely type stuff. Yeah. Yeah. No, definitely type stuff. Yeah. Yeah. No, definitely much more capable. You know, we talked much more capable. You know, we talked much more capable. You know, we talked about running AI models, you know, about running AI models, you know, about running AI models, you know, processing a lot more of the data that's processing a lot more of the data that's processing a lot more of the data that's created there, you know, um that is kind created there, you know, um that is kind created there, you know, um that is kind of the new way of doing things. And I of the new way of doing things. And I of the new way of doing things. And I think the fact that there's an ST micro think the fact that there's an ST micro think the fact that there's an ST micro and a Qualcomm Dragon Wing chip on there and a Qualcomm Dragon Wing chip on there and a Qualcomm Dragon Wing chip on there really is speaks to the collaboration
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really is speaks to the collaboration really is speaks to the collaboration that's required in this space that you that's required in this space that you that's required in this space that you need to collaborate. Companies need to need to collaborate. Companies need to need to collaborate. Companies need to collaborate together. even ones that may collaborate together. even ones that may collaborate together. even ones that may consider themselves sometimes consider themselves sometimes consider themselves sometimes competitors need to collaborate uh in competitors need to collaborate uh in competitors need to collaborate uh in order to get real solutions deployed. order to get real solutions deployed. order to get real solutions deployed. So, um so it's good was good to see So, um so it's good was good to see So, um so it's good was good to see that. I'm sure we'll see more of that, that. I'm sure we'll see more of that, that. I'm sure we'll see more of that, too. And uh too. And uh too. And uh you know, that's uh that's kind of the you know, that's uh that's kind of the you know, that's uh that's kind of the sign of the times. I think I don't think sign of the times. I think I don't think sign of the times. I think I don't think we're done either with the news from we're done either with the news from we're done either with the news from different partners about different different partners about different different partners about different acquisitions. So, we'll just watch this acquisitions. So, we'll just watch this acquisitions. So, we'll just watch this space. I think space. I think space. I think >> Well, I mean, it makes sense, right? >> Well, I mean, it makes sense, right? >> Well, I mean, it makes sense, right? We've we've seen a lot of consolidation We've we've seen a lot of consolidation We've we've seen a lot of consolidation over the years and a lot of a lot of our over the years and a lot of a lot of our over the years and a lot of a lot of our friends as well as uh the companies that friends as well as uh the companies that friends as well as uh the companies that they've started they've started they've started um look for opportunities synergistic um look for opportunities synergistic um look for opportunities synergistic opportunities to um to opportunities to um to opportunities to um to um get leverage. >> Yeah. Get leverage >> Yeah. Get leverage >> and scale. Um, and I mean I think that's >> and scale. Um, and I mean I think that's >> and scale. Um, and I mean I think that's where the the one aspect of what where the the one aspect of what where the the one aspect of what Qualcomm's doing with their Qualcomm's doing with their Qualcomm's doing with their diversification strategy. That's where diversification strategy. That's where diversification strategy. That's where that could create opportunities for the that could create opportunities for the that could create opportunities for the whole ecosystem, but that would be like whole ecosystem, but that would be like whole ecosystem, but that would be like one channel. Obviously, NXP has their one channel. Obviously, NXP has their one channel. Obviously, NXP has their own.
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own. own. >> Yep. >> Yep. >> Yep. >> But it might be at different levels, >> But it might be at different levels, >> But it might be at different levels, right? What obviously Qualcomm's doing right? What obviously Qualcomm's doing right? What obviously Qualcomm's doing is they're trying to target that more is they're trying to target that more is they're trying to target that more intelligent endpoint device, right? intelligent endpoint device, right? intelligent endpoint device, right? >> Yeah. >> Yeah. >> Yeah. >> And then that plugs into that whole >> And then that plugs into that whole >> And then that plugs into that whole continuum of edge computing. And like continuum of edge computing. And like continuum of edge computing. And like we've discussed 6 years ago when we've discussed 6 years ago when we've discussed 6 years ago when everyone was trying to figure out what everyone was trying to figure out what everyone was trying to figure out what the hell edge computing is. It's a the hell edge computing is. It's a the hell edge computing is. It's a continuum between edge infrastructure continuum between edge infrastructure continuum between edge infrastructure and endpoint devices that are are and endpoint devices that are are and endpoint devices that are are connected. It's like a offload, a mutual connected. It's like a offload, a mutual connected. It's like a offload, a mutual offload type of birectional offload, a offload type of birectional offload, a offload type of birectional offload, a distributed computing model. The whole distributed computing model. The whole distributed computing model. The whole idea is that it's not going up to the idea is that it's not going up to the idea is that it's not going up to the cloud, right? You're trying to local cloud, right? You're trying to local cloud, right? You're trying to local secure all those benefits. That's what secure all those benefits. That's what secure all those benefits. That's what edge computing is. edge computing is. edge computing is. >> Yeah. >> Yeah. >> Yeah. >> Just a endpoint device. There's a whole >> Just a endpoint device. There's a whole >> Just a endpoint device. There's a whole computing model. computing model. computing model. >> Yeah. There's an architecture there >> Yeah. There's an architecture there >> Yeah. There's an architecture there about uh Yeah, about uh Yeah, about uh Yeah, >> we explained it six years ago. So, >> we explained it six years ago. So, >> we explained it six years ago. So, >> no, let's do it again. Well, yeah. >> no, let's do it again. Well, yeah. >> no, let's do it again. Well, yeah. >> Well, it is. So, but that the but now >> Well, it is. So, but that the but now >> Well, it is. So, but that the but now things are more capable like you said.
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things are more capable like you said. things are more capable like you said. So, you know, you can mitigate your So, you know, you can mitigate your So, you know, you can mitigate your connectivity costs and risk. You can connectivity costs and risk. You can connectivity costs and risk. You can mitigate your cloud tax ingress and mitigate your cloud tax ingress and mitigate your cloud tax ingress and egress. egress. egress. >> Yes. >> Yes. >> Yes. >> Last night, it's like why would you >> Last night, it's like why would you >> Last night, it's like why would you create data on the edge, take that data, create data on the edge, take that data, create data on the edge, take that data, spend money to send it to the cloud, spend money to send it to the cloud, spend money to send it to the cloud, spend money to put it in the cloud, spend money to put it in the cloud, spend money to put it in the cloud, spend money to process it on the cloud, spend money to process it on the cloud, spend money to process it on the cloud, spend money to get it out of the cloud. spend money to get it out of the cloud. spend money to get it out of the cloud. >> Exactly. >> Exactly. >> Exactly. >> Like, just do it on the device. >> Like, just do it on the device. >> Like, just do it on the device. >> Yeah. And a great point there because >> Yeah. And a great point there because >> Yeah. And a great point there because the economics of it all informs what the economics of it all informs what the economics of it all informs what makes sense in terms of a distributed makes sense in terms of a distributed makes sense in terms of a distributed computing architecture within computing architecture within computing architecture within >> you know and then so that that's that >> you know and then so that that's that >> you know and then so that that's that question of do we take stuff all the way question of do we take stuff all the way question of do we take stuff all the way to the cloud or do we keep things local to the cloud or do we keep things local to the cloud or do we keep things local the edge part it's not you know I the edge part it's not you know I the edge part it's not you know I remember six year six seven years ago remember six year six seven years ago remember six year six seven years ago when we were talking about mech we still when we were talking about mech we still when we were talking about mech we still had people thinking edge computing just had people thinking edge computing just had people thinking edge computing just happened on the endpoint device like a happened on the endpoint device like a happened on the endpoint device like a micro controller on a PLC. It's like no micro controller on a PLC. It's like no micro controller on a PLC. It's like no no no it it's holistically that no no it it's holistically that no no it it's holistically that distributed piece of um a distributed distributed piece of um a distributed distributed piece of um a distributed computing model because the PLC has to computing model because the PLC has to computing model because the PLC has to hit an aggregator of some kind right or hit an aggregator of some kind right or hit an aggregator of some kind right or something. So it that whole construct something. So it that whole construct something. So it that whole construct that extended system construct is what that extended system construct is what that extended system construct is what con you know edge computing architecture con you know edge computing architecture con you know edge computing architecture articulates articulates articulates something that people just didn't get something that people just didn't get something that people just didn't get and um yeah IoT coffee talk people and um yeah IoT coffee talk people and um yeah IoT coffee talk people seriously don't screw up again
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seriously don't screw up again seriously don't screw up again we already answered this question and we we already answered this question and we we already answered this question and we framed everything in and go back Look, framed everything in and go back Look, framed everything in and go back Look, five years back, all those episodes, we five years back, all those episodes, we five years back, all those episodes, we have stuff on edge computing. Actually, have stuff on edge computing. Actually, have stuff on edge computing. Actually, year one. year one. year one. >> Yeah. Go do your homework. We're not >> Yeah. Go do your homework. We're not >> Yeah. Go do your homework. We're not going to going to going to >> There you go. All right. >> There you go. All right. >> There you go. All right. >> So, >> So, >> So, >> wait here. Go do your homework. >> wait here. Go do your homework. >> wait here. Go do your homework. >> Yeah. The >> Yeah. The >> Yeah. The >> Yeah, >> Yeah, >> Yeah, >> I was going to say the other thing >> I was going to say the other thing >> I was going to say the other thing that's interesting about this edge that's interesting about this edge that's interesting about this edge computing paradigm or this architecture computing paradigm or this architecture computing paradigm or this architecture is that it also puts a lot of focus on is that it also puts a lot of focus on is that it also puts a lot of focus on the workload orchestration. the workload orchestration. the workload orchestration. >> Oh, yeah. >> Oh, yeah. >> Oh, yeah. workloads which there's so many really workloads which there's so many really workloads which there's so many really interesting companies out there. I mean interesting companies out there. I mean interesting companies out there. I mean all the cloud providers are kind of all the cloud providers are kind of all the cloud providers are kind of pushing cloud native stuff down which is pushing cloud native stuff down which is pushing cloud native stuff down which is great but there's so many startups and great but there's so many startups and great but there's so many startups and mid-tier companies like thinking about mid-tier companies like thinking about mid-tier companies like thinking about orchestration and I'm excited because I orchestration and I'm excited because I orchestration and I'm excited because I think we're going to see AI go into some think we're going to see AI go into some think we're going to see AI go into some of that orchestration as well like of that orchestration as well like of that orchestration as well like >> Yeah. Yeah. I mean we we're already >> Yeah. Yeah. I mean we we're already >> Yeah. Yeah. I mean we we're already >> you're on mute. >> you're on mute. >> you're on mute. >> I don't know what happened. >> I don't know what happened. >> I don't know what happened. >> I don't know what happened. I got I got >> I don't know what happened. I got I got >> I don't know what happened. I got I got muted. I was going to say the the the muted. I was going to say the the the muted. I was going to say the the the you know using AI to manage kind of you know using AI to manage kind of you know using AI to manage kind of design and traffic of workloads and design and traffic of workloads and design and traffic of workloads and different endpoints. I think it's going different endpoints. I think it's going different endpoints. I think it's going to be really fascinating. So there's a to be really fascinating. So there's a to be really fascinating. So there's a whole renaissance I think of whole renaissance I think of whole renaissance I think of orchestration.
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orchestration. orchestration. >> Yeah. Yeah. And it's a great opportunity >> Yeah. Yeah. And it's a great opportunity >> Yeah. Yeah. And it's a great opportunity because you know like three years ago I because you know like three years ago I because you know like three years ago I thought I was very hopeful thought I was very hopeful thought I was very hopeful like some of the work that Intel as well like some of the work that Intel as well like some of the work that Intel as well as you know VMware and some of the telco as you know VMware and some of the telco as you know VMware and some of the telco companies were doing around u ran companies were doing around u ran companies were doing around u ran orchestration like workload uh orchestration like workload uh orchestration like workload uh orchestration for the orchestration for the orchestration for the >> you know around this concept of open >> you know around this concept of open >> you know around this concept of open rand to foster some of the the the the rand to foster some of the the the the rand to foster some of the the the the foundational stuff that cuz you know foundational stuff that cuz you know foundational stuff that cuz you know that's like the most intense that's like the most intense that's like the most intense >> right >> right >> right >> stuff. In fact, people probably don't >> stuff. In fact, people probably don't >> stuff. In fact, people probably don't realize that the networking realize that the networking realize that the networking >> in the RAN is similar to what we're >> in the RAN is similar to what we're >> in the RAN is similar to what we're seeing in seeing in seeing in >> AI supercomputing right now. So people >> AI supercomputing right now. So people >> AI supercomputing right now. So people talk about scale up talk about scale up talk about scale up >> the scale out and the scale across now >> the scale out and the scale across now >> the scale out and the scale across now which yeah Nvidiacoin which yeah Nvidiacoin which yeah Nvidiacoin >> a lot of those principles are very very >> a lot of those principles are very very >> a lot of those principles are very very >> uh you know in terms of like practical >> uh you know in terms of like practical >> uh you know in terms of like practical implementation are very similar to like implementation are very similar to like implementation are very similar to like what you're seeing in um you saw in the what you're seeing in um you saw in the what you're seeing in um you saw in the RAN and so that's why you see some of RAN and so that's why you see some of RAN and so that's why you see some of these telco uh tech companies pivoting these telco uh tech companies pivoting these telco uh tech companies pivoting toward the you know the fiber networking toward the you know the fiber networking toward the you know the fiber networking the optical stuff.
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the optical stuff. the optical stuff. >> Yeah it's the kind of their expertise >> Yeah it's the kind of their expertise >> Yeah it's the kind of their expertise right? right? right? >> Yeah. Yeah. And then um Yeah. No, it's >> Yeah. Yeah. And then um Yeah. No, it's >> Yeah. Yeah. And then um Yeah. No, it's funny because the the the folks who do funny because the the the folks who do funny because the the the folks who do AI data center can you know keep in mind AI data center can you know keep in mind AI data center can you know keep in mind this is frontier stuff. Nobody knows this is frontier stuff. Nobody knows this is frontier stuff. Nobody knows about this stuff on the data center side about this stuff on the data center side about this stuff on the data center side because it's very foreign, right? This because it's very foreign, right? This because it's very foreign, right? This is like supercomputing is like supercomputing is like supercomputing frontier stuff. But having covered telco frontier stuff. But having covered telco frontier stuff. But having covered telco tech, I look at the stuff and I go, "Oh tech, I look at the stuff and I go, "Oh tech, I look at the stuff and I go, "Oh my god." Okay. So this is stuff that my god." Okay. So this is stuff that my god." Okay. So this is stuff that they've been doing over here for they've been doing over here for they've been doing over here for decades. Yeah. Yeah. decades. Yeah. Yeah. decades. Yeah. Yeah. >> Forward error correction, you know, like >> Forward error correction, you know, like >> Forward error correction, you know, like some of the stuff that uh Nvidia some of the stuff that uh Nvidia some of the stuff that uh Nvidia introduced with Spectrum XGS, which is introduced with Spectrum XGS, which is introduced with Spectrum XGS, which is their whole scale across thing. And um their whole scale across thing. And um their whole scale across thing. And um Cisco also recently announced um a Cisco also recently announced um a Cisco also recently announced um a system as well. I think it's the you system as well. I think it's the you system as well. I think it's the you know, it's part of their silicon one. know, it's part of their silicon one. know, it's part of their silicon one. It's a new switch. It's the 8 part of It's a new switch. It's the 8 part of It's a new switch. It's the 8 part of their 8000 series. It does something their 8000 series. It does something their 8000 series. It does something similar but you have to factor in a lot similar but you have to factor in a lot similar but you have to factor in a lot of other stuff in in particular of other stuff in in particular of other stuff in in particular reliability of course but um latency as reliability of course but um latency as reliability of course but um latency as well because are well because are well because are >> um >> um >> um >> yeah latency is a factor on the on the >> yeah latency is a factor on the on the >> yeah latency is a factor on the on the whole solution. So that's part of the whole solution. So that's part of the whole solution. So that's part of the that's part of the design right is like that's part of the design right is like that's part of the design right is like you know we were talking last night you know we were talking last night you know we were talking last night about examples of low of high latency about examples of low of high latency about examples of low of high latency edge AI edge AI edge AI >> like where are situations where you >> like where are situations where you >> like where are situations where you don't need low latency Yeah. for for don't need low latency Yeah. for for don't need low latency Yeah. for for that compute. In which case, like some that compute. In which case, like some that compute. In which case, like some of these crazy small language models of these crazy small language models of these crazy small language models that are designed with millions of
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that are designed with millions of that are designed with millions of parameters, not billions, but they just parameters, not billions, but they just parameters, not billions, but they just take longer to come out with an answer, take longer to come out with an answer, take longer to come out with an answer, that's perfectly okay because you can that's perfectly okay because you can that's perfectly okay because you can fit that into a very inexpensive fit that into a very inexpensive fit that into a very inexpensive self-powered endpoint. And if you don't self-powered endpoint. And if you don't self-powered endpoint. And if you don't need an instantaneous answer, if you can need an instantaneous answer, if you can need an instantaneous answer, if you can wait a few seconds, wait a few seconds, wait a few seconds, >> that's fine. And so some situations like >> that's fine. And so some situations like >> that's fine. And so some situations like an agriculture and other places where an agriculture and other places where an agriculture and other places where you know it's not it's not a real-time you know it's not it's not a real-time you know it's not it's not a real-time thing. So the the latency is a big part thing. So the the latency is a big part thing. So the the latency is a big part of the design for sure. of the design for sure. of the design for sure. >> Absolutely. And so you know going back >> Absolutely. And so you know going back >> Absolutely. And so you know going back to the telco stuff that those are the to the telco stuff that those are the to the telco stuff that those are the big topics right especially as they're big topics right especially as they're big topics right especially as they're looking at AI ran or the idea of looking at AI ran or the idea of looking at AI ran or the idea of bringing AI for RAN as they call it. Um bringing AI for RAN as they call it. Um bringing AI for RAN as they call it. Um >> yes AI for that's the AI alliance isn't >> yes AI for that's the AI alliance isn't >> yes AI for that's the AI alliance isn't it? The AI ran alliance alliance. So a it? The AI ran alliance alliance. So a it? The AI ran alliance alliance. So a lot of those discussions are happening lot of those discussions are happening lot of those discussions are happening already now. But even preceding that you already now. But even preceding that you already now. But even preceding that you had the same kind of conversations had the same kind of conversations had the same kind of conversations around that back when um we were talking around that back when um we were talking around that back when um we were talking about you know very early on the intent about you know very early on the intent about you know very early on the intent b intent driven networks right so the b intent driven networks right so the b intent driven networks right so the whole idea was how do we infuse whole idea was how do we infuse whole idea was how do we infuse quoteunquote AI at the time which was quoteunquote AI at the time which was quoteunquote AI at the time which was mostly ML mostly ML mostly ML >> and quoteunquote algorithms right how do >> and quoteunquote algorithms right how do >> and quoteunquote algorithms right how do we now leverage this stuff to uh you we now leverage this stuff to uh you we now leverage this stuff to uh you know know know garner some level of autonomy garner some level of autonomy garner some level of autonomy with these with these with these >> intentdriven architectures and yeah I >> intentdriven architectures and yeah I >> intentdriven architectures and yeah I worked on this stuff a long time ago so worked on this stuff a long time ago so worked on this stuff a long time ago so it's interesting to see like in it's interesting to see like in it's interesting to see like in different domains how they're treating
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different domains how they're treating different domains how they're treating um literally the same set of edge um literally the same set of edge um literally the same set of edge computing computing computing uh problems especially as they try to uh problems especially as they try to uh problems especially as they try to introduce intelligence of different introduce intelligence of different introduce intelligence of different flavors flavors flavors um whether it's ML which you know people um whether it's ML which you know people um whether it's ML which you know people have Remember before chat GPT a lot of have Remember before chat GPT a lot of have Remember before chat GPT a lot of people were struggling with even that people were struggling with even that people were struggling with even that and they're still struggling with it and they're still struggling with it and they're still struggling with it right right right >> this stuff is easy like Jensen Jong >> this stuff is easy like Jensen Jong >> this stuff is easy like Jensen Jong keeps trying to make it look like it's keeps trying to make it look like it's keeps trying to make it look like it's easy no it's like freaking super hard easy no it's like freaking super hard easy no it's like freaking super hard and some of it doesn't just simply and some of it doesn't just simply and some of it doesn't just simply doesn't work doesn't work doesn't work >> you know >> you know >> you know >> that's true that's true it is >> that's true that's true it is >> that's true that's true it is complicated and unfortunately adds a complicated and unfortunately adds a complicated and unfortunately adds a level of complexity into a sometimes level of complexity into a sometimes level of complexity into a sometimes already a pretty complicated design and already a pretty complicated design and already a pretty complicated design and deployment process so but you know deployment process so but you know deployment process so but you know that's why people get the bucks, right? that's why people get the bucks, right? that's why people get the bucks, right? Figure that out. Figure that out. Figure that out. >> Yeah. But but also a lot of that ends up >> Yeah. But but also a lot of that ends up >> Yeah. But but also a lot of that ends up being experiment. Here's the problem. being experiment. Here's the problem. being experiment. Here's the problem. You know, Rob, I wish Rob was on here You know, Rob, I wish Rob was on here You know, Rob, I wish Rob was on here because I want to tell him, dude, seven because I want to tell him, dude, seven because I want to tell him, dude, seven sigma is a real thing.
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sigma is a real thing. sigma is a real thing. Uh what we're really talking about here Uh what we're really talking about here Uh what we're really talking about here in a lot of instances and especially for in a lot of instances and especially for in a lot of instances and especially for the efficiency argument is literally the efficiency argument is literally the efficiency argument is literally that extra sigma above uh six sigma, that extra sigma above uh six sigma, that extra sigma above uh six sigma, right? or that right? or that right? or that not even that extra nine maybe a not even that extra nine maybe a not even that extra nine maybe a fraction of that extra nine but at what fraction of that extra nine but at what fraction of that extra nine but at what cost and what impact in terms of cost and what impact in terms of cost and what impact in terms of transformation and so when people are transformation and so when people are transformation and so when people are scratching their heads wondering well scratching their heads wondering well scratching their heads wondering well how come the adoption of AI hasn't been how come the adoption of AI hasn't been how come the adoption of AI hasn't been so um dramatic on the end markets as you so um dramatic on the end markets as you so um dramatic on the end markets as you know you had these casual AI evangelists know you had these casual AI evangelists know you had these casual AI evangelists and you know talking heads pontific ate and you know talking heads pontific ate and you know talking heads pontific ate about is because um number one these about is because um number one these about is because um number one these people don't think in terms of the people don't think in terms of the people don't think in terms of the technology or the system. technology or the system. technology or the system. They have they have no concept of They have they have no concept of They have they have no concept of architecture. I say that because I architecture. I say that because I architecture. I say that because I listen to a lot of them and they just listen to a lot of them and they just listen to a lot of them and they just don't know what they're talking about. don't know what they're talking about. don't know what they're talking about. Right. Right. Right. Right. Right. Right. >> And they also don't understand um they >> And they also don't understand um they >> And they also don't understand um they don't have um engineering experience. So don't have um engineering experience. So don't have um engineering experience. So they don't they don't understand how they don't they don't understand how they don't they don't understand how let's say a step order improvement in a let's say a step order improvement in a let's say a step order improvement in a component diffuses and can't in most component diffuses and can't in most component diffuses and can't in most instances is almost not noticeable at instances is almost not noticeable at instances is almost not noticeable at the system level right the impact is the system level right the impact is the system level right the impact is much smaller. So as we talk about AI and much smaller. So as we talk about AI and much smaller. So as we talk about AI and we've by the way we have talked about we've by the way we have talked about we've by the way we have talked about this in previous episodes as well. So this in previous episodes as well. So this in previous episodes as well. So another reason why you should watch IoT another reason why you should watch IoT another reason why you should watch IoT coffee talk it it it's that one
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coffee talk it it it's that one coffee talk it it it's that one improvement that um improvement that um improvement that um it does maybe a functional or a function it does maybe a functional or a function it does maybe a functional or a function level or task level improvement at the level or task level improvement at the level or task level improvement at the uh system level it can get diluted. Now uh system level it can get diluted. Now uh system level it can get diluted. Now there are cases and they're more rare there are cases and they're more rare there are cases and they're more rare where that improvement has a systemwide where that improvement has a systemwide where that improvement has a systemwide exponential impact. But then in order to exponential impact. But then in order to exponential impact. But then in order to forecast what that or even have a sense forecast what that or even have a sense forecast what that or even have a sense of what that might be, that improvement of what that might be, that improvement of what that might be, that improvement might be or that application might be might be or that application might be might be or that application might be you have to understand how the entire you have to understand how the entire you have to understand how the entire system works. And that's like one of the system works. And that's like one of the system works. And that's like one of the big challenges. You look at um especi >> there aren't that many people that know >> there aren't that many people that know how these entire systems work. how these entire systems work. how these entire systems work. >> Yeah. No, it's true. there's like a >> Yeah. No, it's true. there's like a >> Yeah. No, it's true. there's like a degree of compartmentmentalization. degree of compartmentmentalization. degree of compartmentmentalization. So it's often times difficult to So it's often times difficult to So it's often times difficult to triangulate what sort of technology triangulate what sort of technology triangulate what sort of technology an application of let's say AI is going an application of let's say AI is going an application of let's say AI is going to have that exponential effect. M to have that exponential effect. M to have that exponential effect. M >> um and we've we've seen some of that >> um and we've we've seen some of that >> um and we've we've seen some of that though you know with Nvidia in though you know with Nvidia in though you know with Nvidia in particular uh data precision which has particular uh data precision which has particular uh data precision which has been kind of a iffy thing because Jensen been kind of a iffy thing because Jensen been kind of a iffy thing because Jensen you know the Nvidia people will say oh you know the Nvidia people will say oh you know the Nvidia people will say oh FP4 will you know allow us to FP4 will you know allow us to FP4 will you know allow us to gajillionize um our the scaling of our gajillionize um our the scaling of our gajillionize um our the scaling of our systems but hardly anyone uses FP4 right systems but hardly anyone uses FP4 right systems but hardly anyone uses FP4 right everyone's still using Bflat 16
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everyone's still using Bflat 16 everyone's still using Bflat 16 >> um so anyway um there are certain things >> um so anyway um there are certain things >> um so anyway um there are certain things but then we finding out some of these but then we finding out some of these but then we finding out some of these scaling factors are also really really scaling factors are also really really scaling factors are also really really tough and that applies to smaller tough and that applies to smaller tough and that applies to smaller systems right so as we look at uh systems right so as we look at uh systems right so as we look at uh applying AI applying AI applying AI um um um you know people that make it look like you know people that make it look like you know people that make it look like this this is magic they're the ones this this is magic they're the ones this this is magic they're the ones that don't know what they're talking that don't know what they're talking that don't know what they're talking about so warning out there about so warning out there about so warning out there >> different >> different >> different way slight slight shift in topic But I way slight slight shift in topic But I way slight slight shift in topic But I met someone last night. It's a young man met someone last night. It's a young man met someone last night. It's a young man who was uh chatting it up after the who was uh chatting it up after the who was uh chatting it up after the session and turns out and he has a day session and turns out and he has a day session and turns out and he has a day job, but his his passion is he puts on job, but his his passion is he puts on job, but his his passion is he puts on these uh robot fights in San Francisco these uh robot fights in San Francisco these uh robot fights in San Francisco like you you like robots that fight each like you you like robots that fight each like you you like robots that fight each other like box. You seen those? other like box. You seen those? other like box. You seen those? >> Yeah. Well, I've seen a few out of China >> Yeah. Well, I've seen a few out of China >> Yeah. Well, I've seen a few out of China that do kung fu and that I would never that do kung fu and that I would never that do kung fu and that I would never buy because they could probably beat me buy because they could probably beat me buy because they could probably beat me up if they go Hey.
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up if they go Hey. up if they go Hey. >> Yeah. So he So they do him here in San >> Yeah. So he So they do him here in San >> Yeah. So he So they do him here in San Francisco and he he holds these fight Francisco and he he holds these fight Francisco and he he holds these fight nights. It's like fight club of robots nights. It's like fight club of robots nights. It's like fight club of robots and um it's really interesting. I'm like and um it's really interesting. I'm like and um it's really interesting. I'm like okay. At first I was like that sounds okay. At first I was like that sounds okay. At first I was like that sounds crazy. And of course then I'm like are crazy. And of course then I'm like are crazy. And of course then I'm like are you ever going to do it in Seattle? Like you ever going to do it in Seattle? Like you ever going to do it in Seattle? Like let me know if it's coming to Seattle. let me know if it's coming to Seattle. let me know if it's coming to Seattle. >> You know what you know what it's like? >> You know what you know what it's like? >> You know what you know what it's like? It's like monster trucks man. It's like monster trucks man. It's like monster trucks man. >> It is. It is. It's like Yeah. You're >> It is. It is. It's like Yeah. You're >> It is. It is. It's like Yeah. You're cheering on these machines. cheering on these machines. cheering on these machines. >> Yeah. >> Yeah. >> Yeah. >> But uh well you know we've had those >> But uh well you know we've had those >> But uh well you know we've had those what are those called? those um what are what are those called? those um what are what are those called? those um what are those? Robot Wars, Battlebots, you know. those? Robot Wars, Battlebots, you know. those? Robot Wars, Battlebots, you know. So, it's it's like that, but they're So, it's it's like that, but they're So, it's it's like that, but they're standing up. He said it's like now it's standing up. He said it's like now it's standing up. He said it's like now it's all fun in games because the the robots all fun in games because the the robots all fun in games because the the robots are only like, you know, 4t tall, you are only like, you know, 4t tall, you are only like, you know, 4t tall, you know, when they're punching each other know, when they're punching each other know, when they're punching each other and stuff. He's like, imagine if we got and stuff. He's like, imagine if we got and stuff. He's like, imagine if we got like eight foot robots in there, you like eight foot robots in there, you like eight foot robots in there, you know? know? know? >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> Like then it starts to get a little uh >> Like then it starts to get a little uh >> Like then it starts to get a little uh he's like it's going to be a little he's like it's going to be a little he's like it's going to be a little little more scary when you have robots little more scary when you have robots little more scary when you have robots taller than you like smashing each taller than you like smashing each taller than you like smashing each other. No, you know what I'm I'm going other. No, you know what I'm I'm going other. No, you know what I'm I'm going to be afraid of is when they start um to be afraid of is when they start um to be afraid of is when they start um having uh humans versus uh robots. Have having uh humans versus uh robots. Have having uh humans versus uh robots. Have you seen that one Tik Tok video where um you seen that one Tik Tok video where um you seen that one Tik Tok video where um I think it's called Ununice something I think it's called Ununice something I think it's called Ununice something Chinese um Chinese company that makes Chinese um Chinese company that makes Chinese um Chinese company that makes these robots? I mean, they they kind of these robots? I mean, they they kind of these robots? I mean, they they kind of came into vogue about three years ago came into vogue about three years ago came into vogue about three years ago when they had when they had when they had >> had like one of the the these robots >> had like one of the the these robots >> had like one of the the these robots that uh that uh that uh >> hands and crap, you know, that was like >> hands and crap, you know, that was like >> hands and crap, you know, that was like one of the first ones.
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one of the first ones. one of the first ones. >> And then now they have a video where >> And then now they have a video where >> And then now they have a video where they have some dude like basically doing they have some dude like basically doing they have some dude like basically doing kung fu on on this um robot. Poor robot kung fu on on this um robot. Poor robot kung fu on on this um robot. Poor robot actually. actually. actually. >> Yeah. >> Yeah. >> Yeah. >> Over. But the the whole purpose of this >> Over. But the the whole purpose of this >> Over. But the the whole purpose of this video was to show how the robot can video was to show how the robot can video was to show how the robot can stand up and basically recover from top stand up and basically recover from top stand up and basically recover from top >> dust itself off literally >> dust itself off literally >> dust itself off literally >> some you know really mean dude just >> some you know really mean dude just >> some you know really mean dude just beating the crap out of it, right? Uh beating the crap out of it, right? Uh beating the crap out of it, right? Uh but you know uh then they have a segment but you know uh then they have a segment but you know uh then they have a segment that shows it like sitting there that shows it like sitting there that shows it like sitting there punching and doing some kung fu stuff punching and doing some kung fu stuff punching and doing some kung fu stuff and I was like thinking how easy it and I was like thinking how easy it and I was like thinking how easy it would be to just flip that and then have would be to just flip that and then have would be to just flip that and then have that thing like beat the crap out of the that thing like beat the crap out of the that thing like beat the crap out of the guy after getting abused like that you guy after getting abused like that you guy after getting abused like that you know um know um know um >> we're heading in that direction of >> we're heading in that direction of >> we're heading in that direction of course you know we can always count on course you know we can always count on course you know we can always count on humanity to sort of do the wrong thing humanity to sort of do the wrong thing humanity to sort of do the wrong thing at the wrong time. at the wrong time. at the wrong time. So now we're training the robots to to So now we're training the robots to to So now we're training the robots to to fight and uh they're going to get fight and uh they're going to get fight and uh they're going to get taller, but yeah, coming to a coming to taller, but yeah, coming to a coming to taller, but yeah, coming to a coming to a venue near you is like robot boxing a venue near you is like robot boxing a venue near you is like robot boxing matches.
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matches. matches. >> It's more like coming to a battlefield >> It's more like coming to a battlefield >> It's more like coming to a battlefield near you. near you. near you. >> Yeah. I mean I I think you know yeah >> Yeah. I mean I I think you know yeah >> Yeah. I mean I I think you know yeah it'll be a novelty for most people but it'll be a novelty for most people but it'll be a novelty for most people but uh you know you know that the Pentagon uh you know you know that the Pentagon uh you know you know that the Pentagon and u other um you know military and u other um you know military and u other um you know military uh groups are looking at this technology uh groups are looking at this technology uh groups are looking at this technology and I mean they are right um and I mean they are right um and I mean they are right um >> way I'm in the middle of a tour group >> way I'm in the middle of a tour group >> way I'm in the middle of a tour group right now. Yeah, I know. right now. Yeah, I know. right now. Yeah, I know. >> Stop on a tour of >> Stop on a tour of >> Stop on a tour of [Laughter] [Laughter] [Laughter] >> That's hilarious. >> That's hilarious. >> That's hilarious. Wow. Wow. Wow. >> For a group. >> For a group. >> For a group. >> It was a big group. Yeah, they had a >> It was a big group. Yeah, they had a >> It was a big group. Yeah, they had a flag and everything. So, flag and everything. So, flag and everything. So, >> Oh my gosh. Well, you don't >> Oh my gosh. Well, you don't >> Oh my gosh. Well, you don't >> see. But uh yeah, there was like a lot >> see. But uh yeah, there was like a lot >> see. But uh yeah, there was like a lot of uh you know in San Francisco every of uh you know in San Francisco every of uh you know in San Francisco every time I meet someone who's works in tech, time I meet someone who's works in tech, time I meet someone who's works in tech, they always have a side gig or a side they always have a side gig or a side they always have a side gig or a side hustle or like a startup they're working hustle or like a startup they're working hustle or like a startup they're working on or whatever. So even I met someone on or whatever. So even I met someone on or whatever. So even I met someone from Google last night all in on Google from Google last night all in on Google from Google last night all in on Google blah blah blah, but they also have this blah blah blah, but they also have this blah blah blah, but they also have this other startup that they're working on other startup that they're working on other startup that they're working on and could I try their product and blah and could I try their product and blah and could I try their product and blah blah blah. And so it's um it's blah blah. And so it's um it's blah blah. And so it's um it's interesting to see like you know I think interesting to see like you know I think interesting to see like you know I think the the barriers for people to innovate the the barriers for people to innovate the the barriers for people to innovate in this space are are pretty low. I in this space are are pretty low. I in this space are are pretty low. I think people are starting to do some think people are starting to do some think people are starting to do some really cool things. Although last time really cool things. Although last time really cool things. Although last time we did talk about the difference between we did talk about the difference between we did talk about the difference between building a product and shipping a building a product and shipping a building a product and shipping a product. These are different things.
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product. These are different things. product. These are different things. >> You know you can build but then to ship >> You know you can build but then to ship >> You know you can build but then to ship the product you need to actually get all the product you need to actually get all the product you need to actually get all the bugs out and you know make it the bugs out and you know make it the bugs out and you know make it supportable and get people to pay for supportable and get people to pay for supportable and get people to pay for it. So we'll see. But it's great to see it. So we'll see. But it's great to see it. So we'll see. But it's great to see at least all of the termination of ideas at least all of the termination of ideas at least all of the termination of ideas happening in the space. happening in the space. happening in the space. >> Yeah. Yeah. And um >> Yeah. Yeah. And um >> Yeah. Yeah. And um um um um a lot a lot. Yeah. I mean I think you're a lot a lot. Yeah. I mean I think you're a lot a lot. Yeah. I mean I think you're absolutely right and it's it's diffusing absolutely right and it's it's diffusing absolutely right and it's it's diffusing much more right that ease. Um much more right that ease. Um much more right that ease. Um >> yeah, pretty much anyone can get get >> yeah, pretty much anyone can get get >> yeah, pretty much anyone can get get started if they have a good idea and uh started if they have a good idea and uh started if they have a good idea and uh and start to innovate and develop and and start to innovate and develop and and start to innovate and develop and get some folks together and do something get some folks together and do something get some folks together and do something interesting. And you know, like you interesting. And you know, like you interesting. And you know, like you said, maybe maybe there's an exit, maybe said, maybe maybe there's an exit, maybe said, maybe maybe there's an exit, maybe there isn't. I don't know. You never there isn't. I don't know. You never there isn't. I don't know. You never know. know. know. >> Yeah. Well, that that's the cool thing. >> Yeah. Well, that that's the cool thing. >> Yeah. Well, that that's the cool thing. I mean, we started off with Arduino. I mean, we started off with Arduino. I mean, we started off with Arduino. That's the cool thing about Arduino and That's the cool thing about Arduino and That's the cool thing about Arduino and the maker movement, right? Um the maker movement, right? Um the maker movement, right? Um >> that was the cool thing about it. And um >> that was the cool thing about it. And um >> that was the cool thing about it. And um you know, you know, you know, uh it was a an accelerator in in a way uh it was a an accelerator in in a way uh it was a an accelerator in in a way uh for uh for uh for at least um hobbyist IoT for a while.
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at least um hobbyist IoT for a while. at least um hobbyist IoT for a while. No, for sure. And for students, I mean, No, for sure. And for students, I mean, No, for sure. And for students, I mean, you know, we use uh we underwrite a lot you know, we use uh we underwrite a lot you know, we use uh we underwrite a lot of educational programs and there's of educational programs and there's of educational programs and there's always Arduino kits involved and um or always Arduino kits involved and um or always Arduino kits involved and um or Raspberry Pies or whatever. And so, Raspberry Pies or whatever. And so, Raspberry Pies or whatever. And so, >> although like like you said, Arduino has >> although like like you said, Arduino has >> although like like you said, Arduino has shifted in the past couple years to shifted in the past couple years to shifted in the past couple years to focus more on sort of commercialized focus more on sort of commercialized focus more on sort of commercialized >> platforms. Um and um >> platforms. Um and um >> platforms. Um and um >> but yeah, it definitely accelerates >> but yeah, it definitely accelerates >> but yeah, it definitely accelerates things. So that that is the cool thing things. So that that is the cool thing things. So that that is the cool thing about um what Masimo and team were about um what Masimo and team were about um what Masimo and team were looking at doing is creating sort of looking at doing is creating sort of looking at doing is creating sort of this um a continuum from like this um a continuum from like this um a continuum from like experimentation, prototyping all the way experimentation, prototyping all the way experimentation, prototyping all the way through being able to support uh through being able to support uh through being able to support uh industrial um industrial um industrial um commercial grade uh um devices, right? commercial grade uh um devices, right? commercial grade uh um devices, right? So supporting that whole flow. Uh, and I So supporting that whole flow. Uh, and I So supporting that whole flow. Uh, and I know that that's what Qualcomm is hoping know that that's what Qualcomm is hoping know that that's what Qualcomm is hoping to do as well. to do as well. to do as well. >> Yeah. Yeah, for sure. >> Yeah. Yeah, for sure. >> Yeah. Yeah, for sure. >> That kind of all works works out. And >> That kind of all works works out. And >> That kind of all works works out. And then, you know, going back to what we then, you know, going back to what we then, you know, going back to what we were talking about just now, uh, that were talking about just now, uh, that were talking about just now, uh, that diffusion of the access and, you know, diffusion of the access and, you know, diffusion of the access and, you know, uh, maybe even some of the uh, maybe even some of the uh, maybe even some of the simplification of develop, you know, the simplification of develop, you know, the simplification of develop, you know, the development and development life cycle development and development life cycle development and development life cycle for these things. um prototyping for these things. um prototyping for these things. um prototyping >> that can that can foster uh foster >> that can that can foster uh foster >> that can that can foster uh foster innovation.
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innovation. innovation. >> Yeah. >> Yeah. >> Yeah. >> And then um yeah, it it's >> And then um yeah, it it's >> And then um yeah, it it's now that you think about it. now that you think about it. now that you think about it. >> Back in the day, we just had a little >> Back in the day, we just had a little >> Back in the day, we just had a little brick board, you know. brick board, you know. brick board, you know. >> Yeah. Yeah. Yeah. >> Yeah. Yeah. Yeah. >> Yeah. Yeah. Yeah. >> It was just blank, you know. Now you can >> It was just blank, you know. Now you can >> It was just blank, you know. Now you can like get like you get like AI vision like get like you get like AI vision like get like you get like AI vision kits that are like 80% commercialized kits that are like 80% commercialized kits that are like 80% commercialized and kind of just and kind of just and kind of just So it's pretty cool. So it's pretty cool. So it's pretty cool. >> Yeah. And you know going back to what >> Yeah. And you know going back to what >> Yeah. And you know going back to what we're talking about edge computing and we're talking about edge computing and we're talking about edge computing and having those types of blueprints for having those types of blueprints for having those types of blueprints for what a a broad solution would look like what a a broad solution would look like what a a broad solution would look like that would be uh also another that would be uh also another that would be uh also another accelerator and um you know things like accelerator and um you know things like accelerator and um you know things like you know digital chassis you know you you know digital chassis you know you you know digital chassis you know you talked to Nicole he talks about digital talked to Nicole he talks about digital talked to Nicole he talks about digital chassis all day you know um but you know chassis all day you know um but you know chassis all day you know um but you know all the you all these these um all the you all these these um all the you all these these um solution patterns and then being to uh solution patterns and then being to uh solution patterns and then being to uh enable enable enable all these uh developers to stitch the all these uh developers to stitch the all these uh developers to stitch the different components and devices different components and devices different components and devices together and obviously the connectivity together and obviously the connectivity together and obviously the connectivity piece is a big thing as well.
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piece is a big thing as well. piece is a big thing as well. >> Sure. >> Sure. >> Sure. >> Um and so and you know if there's one >> Um and so and you know if there's one >> Um and so and you know if there's one thing Qualcomm knows they know thing Qualcomm knows they know thing Qualcomm knows they know connectivity. connectivity. connectivity. >> Connectivity. Yes. Yes. Yeah. Yeah, I >> Connectivity. Yes. Yes. Yeah. Yeah, I >> Connectivity. Yes. Yes. Yeah. Yeah, I use the term we use the term blueprints use the term we use the term blueprints use the term we use the term blueprints like you know we like to highlight like you know we like to highlight like you know we like to highlight different blueprints of deployments of different blueprints of deployments of different blueprints of deployments of edge solutions and then what happens is edge solutions and then what happens is edge solutions and then what happens is another business says oh you know my another business says oh you know my another business says oh you know my problem is kind of like that problem problem is kind of like that problem problem is kind of like that problem it's not exactly like that problem but it's not exactly like that problem but it's not exactly like that problem but kind of they can say like well maybe I kind of they can say like well maybe I kind of they can say like well maybe I can take that blueprint and adapt it to can take that blueprint and adapt it to can take that blueprint and adapt it to solve my problem and so solve my problem and so solve my problem and so >> that's that's an important part of >> that's that's an important part of >> that's that's an important part of accelerating the the whole ecosystem is accelerating the the whole ecosystem is accelerating the the whole ecosystem is kind of showing success patterns that kind of showing success patterns that kind of showing success patterns that that are successful so that people can that are successful so that people can that are successful so that people can >> adopt them and replicate meet them. And >> adopt them and replicate meet them. And >> adopt them and replicate meet them. And that being said, you always then you that being said, you always then you that being said, you always then you always you always get the disruptors always you always get the disruptors always you always get the disruptors that come in and think about it totally that come in and think about it totally that come in and think about it totally differently and you're like, differently and you're like, differently and you're like, >> yeah, you know, that's always exciting >> yeah, you know, that's always exciting >> yeah, you know, that's always exciting to see. I met quite a few folks last to see. I met quite a few folks last to see. I met quite a few folks last night that were on the disruptor track night that were on the disruptor track night that were on the disruptor track and you know, it's a high-risisk thing and you know, it's a high-risisk thing and you know, it's a high-risisk thing and you're doing something totally and you're doing something totally and you're doing something totally different and uh but you know, that's different and uh but you know, that's different and uh but you know, that's that's what makes it interesting, right? that's what makes it interesting, right? that's what makes it interesting, right? I mean a lot of the neurot I mean a lot of the neurot I mean a lot of the neurot neuromorphic stuff like sort of the uh neuromorphic stuff like sort of the uh neuromorphic stuff like sort of the uh controller controller friendly or controller controller friendly or controller controller friendly or controller level uh AI accelerators and controller level uh AI accelerators and controller level uh AI accelerators and you know like let's call them now ultra you know like let's call them now ultra you know like let's call them now ultra low power uh low power uh low power uh >> you know accelerators >> you know accelerators >> you know accelerators as well as the harvesting stuff that's as well as the harvesting stuff that's as well as the harvesting stuff that's like that's pretty nutty stuff.
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like that's pretty nutty stuff. like that's pretty nutty stuff. frontier. frontier. frontier. >> Yeah. >> Yeah. >> Yeah. >> Yeah. If you just kind of throw out >> Yeah. If you just kind of throw out >> Yeah. If you just kind of throw out everything and say, "What if we everything and say, "What if we everything and say, "What if we rearchitected stuff around AI? What if rearchitected stuff around AI? What if rearchitected stuff around AI? What if we rearchitected the hardware around the we rearchitected the hardware around the we rearchitected the hardware around the AI models?" We're starting to see that. AI models?" We're starting to see that. AI models?" We're starting to see that. I mean, I think the kind of for for I mean, I think the kind of for for I mean, I think the kind of for for years, right, it was like, "How do we years, right, it was like, "How do we years, right, it was like, "How do we make AI work on traditional computing make AI work on traditional computing make AI work on traditional computing architectures, right? Kind of stuff the architectures, right? Kind of stuff the architectures, right? Kind of stuff the models in there. And now it's like, models in there. And now it's like, models in there. And now it's like, well, what if we just rearchitected the well, what if we just rearchitected the well, what if we just rearchitected the semiconductors and other systems semiconductors and other systems semiconductors and other systems >> around the AI itself?" And you know, so >> around the AI itself?" And you know, so >> around the AI itself?" And you know, so we're starting to see some interesting we're starting to see some interesting we're starting to see some interesting efficiencies efficiencies efficiencies >> and that's what we're seeing in super >> and that's what we're seeing in super >> and that's what we're seeing in super is they're finding that um the model is they're finding that um the model is they're finding that um the model architectures are actually driving um architectures are actually driving um architectures are actually driving um the requirements of the actual hardware the requirements of the actual hardware the requirements of the actual hardware and the system and the system and the system >> and um yeah it and it is determining >> and um yeah it and it is determining >> and um yeah it and it is determining what the what the what the um what the criteria for optimized and um what the criteria for optimized and um what the criteria for optimized and what the frontier of optimize means, what the frontier of optimize means, what the frontier of optimize means, right? right? right? >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. You um >> Yeah. You um >> Yeah. You um >> crazy >> crazy >> crazy >> down. Yeah. And then you know with the >> down. Yeah. And then you know with the >> down. Yeah. And then you know with the edge though everything a lot of stuff is edge though everything a lot of stuff is edge though everything a lot of stuff is application specific. So kinds of application specific. So kinds of application specific. So kinds of different optimization profiles out different optimization profiles out different optimization profiles out there. Right.
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there. Right. there. Right. >> Right. >> Right. >> Right. >> I think that's what's cool about edge >> I think that's what's cool about edge >> I think that's what's cool about edge impulse when you look at impulse when you look at impulse when you look at you know look at things in terms of a AI you know look at things in terms of a AI you know look at things in terms of a AI dev ops and a AI ops perspective having dev ops and a AI ops perspective having dev ops and a AI ops perspective having tooling like that. Um, I mean that that tooling like that. Um, I mean that that tooling like that. Um, I mean that that that's that was the thing, right, with that's that was the thing, right, with that's that was the thing, right, with Zach and the guys, that was really kind Zach and the guys, that was really kind Zach and the guys, that was really kind of the problem that they were looking to of the problem that they were looking to of the problem that they were looking to solve. If you were to think in terms of solve. If you were to think in terms of solve. If you were to think in terms of first principles, right? first principles, right? first principles, right? >> Mhm. >> Mhm. >> Mhm. >> Um, so yeah, >> Um, so yeah, >> Um, so yeah, >> complexity. Yeah. And there's also, we >> complexity. Yeah. And there's also, we >> complexity. Yeah. And there's also, we were talking too last night, there's a were talking too last night, there's a were talking too last night, there's a number of companies kind of in now back number of companies kind of in now back number of companies kind of in now back in the compiler space. So when you have in the compiler space. So when you have in the compiler space. So when you have these interesting architectures, you these interesting architectures, you these interesting architectures, you have you have you have to have have you have you have to have have you have you have to have interesting compilers, you know. Yeah. interesting compilers, you know. Yeah. interesting compilers, you know. Yeah. And um so for people that don't know, And um so for people that don't know, And um so for people that don't know, you know, you write in this kind of you know, you write in this kind of you know, you write in this kind of objectoriented language and the compiler objectoriented language and the compiler objectoriented language and the compiler does the dirty work to turn it into does the dirty work to turn it into does the dirty work to turn it into machine code. machine code. machine code. >> Though now we're talking about, well, >> Though now we're talking about, well, >> Though now we're talking about, well, how do I move models around to different how do I move models around to different how do I move models around to different platforms, platforms, platforms, different architectures? Well, that you different architectures? Well, that you different architectures? Well, that you need a special compilers. So now they're need a special compilers. So now they're need a special compilers. So now they're infusing AI into the compilers, infusing AI into the compilers, infusing AI into the compilers, >> you know, to figure out the right way to >> you know, to figure out the right way to >> you know, to figure out the right way to compile from to moving from CUDA to this compile from to moving from CUDA to this compile from to moving from CUDA to this to this to this means someday it's going to this to this means someday it's going to this to this means someday it's going to be, you know, a lot more of a to be, you know, a lot more of a to be, you know, a lot more of a seamless automated process. and you know seamless automated process. and you know seamless automated process. and you know you'll be able to create new funky you'll be able to create new funky you'll be able to create new funky architectures and not be limited by kind architectures and not be limited by kind architectures and not be limited by kind of compilers and tools and stuff. So of compilers and tools and stuff. So of compilers and tools and stuff. So >> that's happening at the same time. Yeah, >> that's happening at the same time. Yeah, >> that's happening at the same time. Yeah, there's a number of startups in the there's a number of startups in the there's a number of startups in the compiler space which you would think as compiler space which you would think as compiler space which you would think as a compiler is like very interesting.
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a compiler is like very interesting. a compiler is like very interesting. >> No, it's a big deal. In fact, kernels >> No, it's a big deal. In fact, kernels >> No, it's a big deal. In fact, kernels are a big deal. are a big deal. are a big deal. >> That's how crazy things are getting, >> That's how crazy things are getting, >> That's how crazy things are getting, >> right? Um but that that's going to be >> right? Um but that that's going to be >> right? Um but that that's going to be different for yeah compilers different for yeah compilers different for yeah compilers more for like coding model model more for like coding model model more for like coding model model extensibility portability. Absolutely. extensibility portability. Absolutely. extensibility portability. Absolutely. Uh that makes a lot of sense. You Uh that makes a lot of sense. You Uh that makes a lot of sense. You probably never down to the kernel level probably never down to the kernel level probably never down to the kernel level but but but >> in AI supercomputing they they they're >> in AI supercomputing they they they're >> in AI supercomputing they they they're going down to the kernel. going down to the kernel. going down to the kernel. >> Yeah know crazy crap happening. Yeah. So >> Yeah know crazy crap happening. Yeah. So >> Yeah know crazy crap happening. Yeah. So >> yeah it's oh my god it's a lot of crazy >> yeah it's oh my god it's a lot of crazy >> yeah it's oh my god it's a lot of crazy stuff. lot of crazy stuff. But, uh, yes, stuff. lot of crazy stuff. But, uh, yes, stuff. lot of crazy stuff. But, uh, yes, um, I'm looking forward to getting back. um, I'm looking forward to getting back. um, I'm looking forward to getting back. I'm going to be in Washington DC next I'm going to be in Washington DC next I'm going to be in Washington DC next week. Made this confirmation today. week. Made this confirmation today. week. Made this confirmation today. Despite the shutdown, we're we're still Despite the shutdown, we're we're still Despite the shutdown, we're we're still having an event on Wednesday having an event on Wednesday having an event on Wednesday some some place. I don't know what it some some place. I don't know what it some some place. I don't know what it is, but it's like a bunch of is, but it's like a bunch of is, but it's like a bunch of congressional congressional congressional Washington people talking about AJI. So, Washington people talking about AJI. So, Washington people talking about AJI. So, >> are they furoughed as well, or are these >> are they furoughed as well, or are these >> are they furoughed as well, or are these like, like, like, >> you know, I think they are. I mean, >> you know, I think they are. I mean, >> you know, I think they are. I mean, there's going to be a bunch of staffers there's going to be a bunch of staffers there's going to be a bunch of staffers there, you know, for sure. and Congress there, you know, for sure. and Congress there, you know, for sure. and Congress people and other folks. So, um I don't I people and other folks. So, um I don't I people and other folks. So, um I don't I think they're just kind of they're in DC think they're just kind of they're in DC think they're just kind of they're in DC waiting to fix this whole thing. So, waiting to fix this whole thing. So, waiting to fix this whole thing. So, they're all there. You know, it's like they're all there. You know, it's like they're all there. You know, it's like it's a high density of Washington folk it's a high density of Washington folk it's a high density of Washington folk are in Washington right now.
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are in Washington right now. are in Washington right now. >> Yeah. >> Yeah. >> Yeah. >> Yeah. No, that's cool. Yeah. >> Yeah. No, that's cool. Yeah. >> Yeah. No, that's cool. Yeah. >> OCP. I had all these people >> OCP. I had all these people >> OCP. I had all these people >> go and so I'm going I have like a full >> go and so I'm going I have like a full >> go and so I'm going I have like a full schedule already. So, I'm looking schedule already. So, I'm looking schedule already. So, I'm looking >> Where's that? Where's OCP this year? >> Where's that? Where's OCP this year? >> Where's that? Where's OCP this year? >> San Jose. >> San Jose. >> San Jose. >> Oh, okay. >> Oh, okay. >> Oh, okay. >> It's like it's >> It's like it's >> It's like it's >> short for you. >> short for you. >> short for you. >> No, I know. It's sort of a short hop, >> No, I know. It's sort of a short hop, >> No, I know. It's sort of a short hop, but yeah, it's intense. Like all the but yeah, it's intense. Like all the but yeah, it's intense. Like all the presentations are like 15 minutes long, presentations are like 15 minutes long, presentations are like 15 minutes long, Matt. Matt. Matt. >> Oh, yeah. That's the new trend is like >> Oh, yeah. That's the new trend is like >> Oh, yeah. That's the new trend is like uh it's short. I mean, I gave when I was uh it's short. I mean, I gave when I was uh it's short. I mean, I gave when I was at the things conference, I had a at the things conference, I had a at the things conference, I had a keynote for 15 minutes. I thought it was keynote for 15 minutes. I thought it was keynote for 15 minutes. I thought it was 30 minutes and then I found out like the 30 minutes and then I found out like the 30 minutes and then I found out like the day before it was 15 minutes. So, I'm day before it was 15 minutes. So, I'm day before it was 15 minutes. So, I'm like compressing my like compressing my like compressing my But you know, you got to get to the But you know, you got to get to the But you know, you got to get to the point point point >> and it's part of the shorter attention >> and it's part of the shorter attention >> and it's part of the shorter attention span. We have a very short attention span. We have a very short attention span. We have a very short attention span. Even in real life, the the talks span. Even in real life, the the talks span. Even in real life, the the talks have to be 15 minutes. I think our have to be 15 minutes. I think our have to be 15 minutes. I think our longest talks, we have this event in longest talks, we have this event in longest talks, we have this event in Taipei, November 11th and 12th. I think Taipei, November 11th and 12th. I think Taipei, November 11th and 12th. I think the longest talks we have are 30 the longest talks we have are 30 the longest talks we have are 30 minutes. Those are the long keynotes. Uh minutes. Those are the long keynotes. Uh minutes. Those are the long keynotes. Uh everything else is shorter than that. So everything else is shorter than that. So everything else is shorter than that. So yeah, that's the new reality. Get to yeah, that's the new reality. Get to yeah, that's the new reality. Get to your point, land it, move on.
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your point, land it, move on. your point, land it, move on. >> Yeah. Yeah. >> Yeah. Yeah. >> Yeah. Yeah. Yeah. We Yeah. We Yeah. We >> hopefully people don't start checking >> hopefully people don't start checking >> hopefully people don't start checking their Instagram while you're talking, their Instagram while you're talking, their Instagram while you're talking, you know. you know. you know. >> So, yeah. Um Oh, the other big news. >> So, yeah. Um Oh, the other big news. >> So, yeah. Um Oh, the other big news. See, there's so much stuff happening. See, there's so much stuff happening. See, there's so much stuff happening. Intel, right? Intel. Intel, right? Intel. Intel, right? Intel. >> Yes. >> Yes. >> Yes. >> Um, you know, got their first wafer out >> Um, you know, got their first wafer out >> Um, you know, got their first wafer out 18A. So, it looks like they're going to 18A. So, it looks like they're going to 18A. So, it looks like they're going to they're going to ramp up toward the end they're going to ramp up toward the end they're going to ramp up toward the end of the year with 18A for Lunar Lake and of the year with 18A for Lunar Lake and of the year with 18A for Lunar Lake and Clear Water for uh no um Panther Lake Clear Water for uh no um Panther Lake Clear Water for uh no um Panther Lake and Clear Water. and Clear Water. and Clear Water. Congratulations Congratulations Congratulations to Pat Gellinger to Pat Gellinger to Pat Gellinger and all the other people and all the other people and all the other people >> still there and probably a bunch of them >> still there and probably a bunch of them >> still there and probably a bunch of them who got laid off or fired who got laid off or fired who got laid off or fired for this milestone because remember in for this milestone because remember in for this milestone because remember in the semiconductor industry the semiconductor industry the semiconductor industry things like this happen over years. things like this happen over years. things like this happen over years. Yeah. To your process here, Yeah. To your process here, Yeah. To your process here, >> right? So, it shouldn't have been Lip >> right? So, it shouldn't have been Lip >> right? So, it shouldn't have been Lip Boutan. What the right thing would have Boutan. What the right thing would have Boutan. What the right thing would have been if Lip Boutan invited Pat Gelling been if Lip Boutan invited Pat Gelling been if Lip Boutan invited Pat Gelling or or or >> Wafer. Um, >> Wafer. Um, >> Wafer. Um, >> that would have been nice. Yeah.
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>> that would have been nice. Yeah. >> that would have been nice. Yeah. >> Be real, right? Um, you got to give >> Be real, right? Um, you got to give >> Be real, right? Um, you got to give where credit where credit is due because where credit where credit is due because where credit where credit is due because >> made the big gamble. I mean, he did a >> made the big gamble. I mean, he did a >> made the big gamble. I mean, he did a couple things that I thought were really couple things that I thought were really couple things that I thought were really goofy and not exactly, goofy and not exactly, goofy and not exactly, you know, kind of actually got him into you know, kind of actually got him into you know, kind of actually got him into the trouble that he got into. But in the trouble that he got into. But in the trouble that he got into. But in terms of committing to a very risky, terms of committing to a very risky, terms of committing to a very risky, aggressive road map uh to get to where aggressive road map uh to get to where aggressive road map uh to get to where um Intel got to yesterday, I think uh um Intel got to yesterday, I think uh um Intel got to yesterday, I think uh you got to got to hand it to him. He's you got to got to hand it to him. He's you got to got to hand it to him. He's the one that has to to to the one that has to to to the one that has to to to >> to do something crazy like that. >> to do something crazy like that. >> to do something crazy like that. >> Yeah. Yeah. No, it's true. That would >> Yeah. Yeah. No, it's true. That would >> Yeah. Yeah. No, it's true. That would have been nice to give us a recognition have been nice to give us a recognition have been nice to give us a recognition on that. It does take years to get that on that. It does take years to get that on that. It does take years to get that stuff done. So, stuff done. So, stuff done. So, >> yeah. >> yeah. >> yeah. >> But that's good for them. I'm rooting >> But that's good for them. I'm rooting >> But that's good for them. I'm rooting for them. for them. for them. >> Yeah. No, it's it's a big deal because >> Yeah. No, it's it's a big deal because >> Yeah. No, it's it's a big deal because it introduces uh Gate Allar Around. it introduces uh Gate Allar Around. it introduces uh Gate Allar Around. They're going to Yeah, they're pretty They're going to Yeah, they're pretty They're going to Yeah, they're pretty much going to be uh they might actually much going to be uh they might actually much going to be uh they might actually beat TSMC with gate all around. So, beat TSMC with gate all around. So, beat TSMC with gate all around. So, which is a new transistor architecture which is a new transistor architecture which is a new transistor architecture and that's a big deal, right?
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and that's a big deal, right? and that's a big deal, right? >> Very big deal. And then they're also >> Very big deal. And then they're also >> Very big deal. And then they're also coming to the table with uh backside coming to the table with uh backside coming to the table with uh backside power or power via which is also another power or power via which is also another power or power via which is also another huge architectural change for um the you huge architectural change for um the you huge architectural change for um the you know for uh Intel's uh next you know know for uh Intel's uh next you know know for uh Intel's uh next you know process technology. So yeah I mean think process technology. So yeah I mean think process technology. So yeah I mean think about it guys that have been working on about it guys that have been working on about it guys that have been working on this for the last five five years uh and this for the last five five years uh and this for the last five five years uh and probably even more. They're the ones who probably even more. They're the ones who probably even more. They're the ones who uh who did all the heavy lifting to make uh who did all the heavy lifting to make uh who did all the heavy lifting to make this this happen. So, it's pretty this this happen. So, it's pretty this this happen. So, it's pretty insane. So, yeah. Congratulations, Pat. insane. So, yeah. Congratulations, Pat. insane. So, yeah. Congratulations, Pat. Um, Um, Um, >> good job. >> good job. >> good job. >> Cool stuff. Yeah. >> Cool stuff. Yeah. >> Cool stuff. Yeah. >> Yeah. Yeah. Good. Busy week. >> Yeah. Yeah. Good. Busy week. >> Yeah. Yeah. Good. Busy week. >> Good news. >> Good news. >> Good news. >> Good news. Good news week. >> Good news. Good news week. >> Good news. Good news week. >> Yeah. >> Yeah. >> Yeah. >> Good news. Good. >> Good news. Good. >> Good news. Good. >> Yeah. Well, um I don't know. I all I >> Yeah. Well, um I don't know. I all I >> Yeah. Well, um I don't know. I all I know is that this episode would not fit know is that this episode would not fit know is that this episode would not fit in a OCP or a things uh things.
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in a OCP or a things uh things. in a OCP or a things uh things. >> Yes, I know we've gone on and on, but >> Yes, I know we've gone on and on, but >> Yes, I know we've gone on and on, but that's okay. that's okay. that's okay. >> We always >> We always >> We always >> people can people can listen to it while >> people can people can listen to it while >> people can people can listen to it while they're commuting or on the BART or they're commuting or on the BART or they're commuting or on the BART or whatever just to get educated. That's whatever just to get educated. That's whatever just to get educated. That's it's fine with me, you know. it's fine with me, you know. it's fine with me, you know. >> Hang out in Union Square as >> Hang out in Union Square as >> Hang out in Union Square as >> hanging out in Union Square. There's a >> hanging out in Union Square. There's a >> hanging out in Union Square. There's a lot of tourist groups here. I guess this lot of tourist groups here. I guess this lot of tourist groups here. I guess this is the meeting place for the groups is the meeting place for the groups is the meeting place for the groups >> by the way. Um, you sound awesome, man. >> by the way. Um, you sound awesome, man. >> by the way. Um, you sound awesome, man. >> Really? >> Really? >> Really? >> AirPod Pro 3. AirPod Pro 3. So, >> AirPod Pro 3. AirPod Pro 3. So, >> AirPod Pro 3. AirPod Pro 3. So, >> are you serious? Oh, so you got the new >> are you serious? Oh, so you got the new >> are you serious? Oh, so you got the new one. one. one. >> I got the new one. >> I got the new one. >> I got the new one. >> Everybody is going to hear how good good >> Everybody is going to hear how good good >> Everybody is going to hear how good good you you you >> Okay. >> Okay. >> Okay. >> It's insane. Or I don't know if it's >> It's insane. Or I don't know if it's >> It's insane. Or I don't know if it's it's the AirPods or your voice because it's the AirPods or your voice because it's the AirPods or your voice because your voice tends to your voice tends to your voice tends to >> Well, it might be my voice. Yeah, sure. >> Well, it might be my voice. Yeah, sure. >> Well, it might be my voice. Yeah, sure. >> Actually, last night it was funny. We >> Actually, last night it was funny. We >> Actually, last night it was funny. We were uh at this little event, you know, were uh at this little event, you know, were uh at this little event, you know, it was like a hundred people, whatever, it was like a hundred people, whatever, it was like a hundred people, whatever, in the room and they had one of those in the room and they had one of those in the room and they had one of those powered speakers with the microphones, powered speakers with the microphones, powered speakers with the microphones, but someone had cranked up the reverb on but someone had cranked up the reverb on but someone had cranked up the reverb on the speaker, you know, so when you talk the speaker, you know, so when you talk the speaker, you know, so when you talk had this echo like I'm like digging the had this echo like I'm like digging the had this echo like I'm like digging the reverb.
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reverb. reverb. >> Yeah, >> Yeah, >> Yeah, karaoke before. karaoke before. karaoke before. >> Maybe it was a karaoke thing. Yeah, they >> Maybe it was a karaoke thing. Yeah, they >> Maybe it was a karaoke thing. Yeah, they should have done a little karaoke at the should have done a little karaoke at the should have done a little karaoke at the end. That would have been funny. end. That would have been funny. end. That would have been funny. >> But no, these AirPod 3s, I think it's >> But no, these AirPod 3s, I think it's >> But no, these AirPod 3s, I think it's the same chip as the twos. Yeah, the same chip as the twos. Yeah, the same chip as the twos. Yeah, >> it's the same processor, but they have >> it's the same processor, but they have >> it's the same processor, but they have improved the noise reduction and some improved the noise reduction and some improved the noise reduction and some other things and the fit feels a little other things and the fit feels a little other things and the fit feels a little better, but um better, but um better, but um >> voice isolation is incredible. I'm >> voice isolation is incredible. I'm >> voice isolation is incredible. I'm telling you, telling you, telling you, >> that's it. I'm sure they did software >> that's it. I'm sure they did software >> that's it. I'm sure they did software upgrades for sure. So, that's as you upgrades for sure. So, that's as you upgrades for sure. So, that's as you know, it's know, it's know, it's >> it's um you sound like you're at home on >> it's um you sound like you're at home on >> it's um you sound like you're at home on your expensive mic. your expensive mic. your expensive mic. >> Interesting. >> Interesting. >> Interesting. >> Hear a little bit of chirping because >> Hear a little bit of chirping because >> Hear a little bit of chirping because there's probably background noise, there's probably background noise, there's probably background noise, right? right? right? >> A little bit. Yeah. >> A little bit. Yeah. >> A little bit. Yeah. >> Yeah. You >> Yeah. You >> Yeah. You >> there's people talking. here like >> there's people talking. here like >> there's people talking. here like whatever you know the um the isolation whatever you know the um the isolation whatever you know the um the isolation a little bit but I mean you know a little bit but I mean you know a little bit but I mean you know >> got I mean you got to >> got I mean you got to >> got I mean you got to >> it's off to Apple you know >> it's off to Apple you know >> it's off to Apple you know >> yeah but it it's minimal it and but your >> yeah but it it's minimal it and but your >> yeah but it it's minimal it and but your voice the quality of your voice the quality of your voice the quality of your >> comes through >> comes through >> comes through >> really high yeah is it pretty loud >> really high yeah is it pretty loud >> really high yeah is it pretty loud >> right now is there >> right now is there >> right now is there >> you know I mean we're outdoors there's >> you know I mean we're outdoors there's >> you know I mean we're outdoors there's people chatting at little tables and people chatting at little tables and people chatting at little tables and There's nobody shouting, so it's m There's nobody shouting, so it's m There's nobody shouting, so it's m moderate background noise. But yeah, I'm moderate background noise. But yeah, I'm moderate background noise. But yeah, I'm sure the Apple software got totally sure the Apple software got totally sure the Apple software got totally upgraded and upgraded and upgraded and >> yeah, >> yeah, >> yeah, >> all the other stuff. So, um yeah, I >> all the other stuff. So, um yeah, I >> all the other stuff. So, um yeah, I picked these up actually when I was in picked these up actually when I was in picked these up actually when I was in Amsterdam. I went to the Apple store. It Amsterdam. I went to the Apple store. It Amsterdam. I went to the Apple store. It was like the day that all the the new was like the day that all the the new was like the day that all the the new stuff hit the retail stores and which I
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stuff hit the retail stores and which I stuff hit the retail stores and which I didn't know. And so I went into this didn't know. And so I went into this didn't know. And so I went into this Apple store. It was like Apple store. It was like Apple store. It was like shoulderto-shoulder and I'm like, why is shoulderto-shoulder and I'm like, why is shoulderto-shoulder and I'm like, why is everyone in here? And then they told me, everyone in here? And then they told me, everyone in here? And then they told me, "Yeah, this was the day that all the the "Yeah, this was the day that all the the "Yeah, this was the day that all the the new stuff came in." I'm actually waiting new stuff came in." I'm actually waiting new stuff came in." I'm actually waiting for my 17 Pro Max to show up for my 17 Pro Max to show up for my 17 Pro Max to show up >> really >> really >> really >> in the mail to get the update. Well, we >> in the mail to get the update. Well, we >> in the mail to get the update. Well, we we we get it through Costco, by the way. we we get it through Costco, by the way. we we get it through Costco, by the way. If folks are Costco members, AT&T, If folks are Costco members, AT&T, If folks are Costco members, AT&T, Apple, it's pretty good deals there. So, Apple, it's pretty good deals there. So, Apple, it's pretty good deals there. So, >> we're getting our our upgrades through >> we're getting our our upgrades through >> we're getting our our upgrades through Costco next couple weeks. So, Costco next couple weeks. So, Costco next couple weeks. So, >> really, it's a good deal. >> really, it's a good deal. >> really, it's a good deal. >> Yeah. Uh my my wife just got hurt. So uh >> Yeah. Uh my my wife just got hurt. So uh >> Yeah. Uh my my wife just got hurt. So uh she was complaining about the whole she was complaining about the whole she was complaining about the whole transfer process and I was telling her, transfer process and I was telling her, transfer process and I was telling her, "Honey, number one, you have like a "Honey, number one, you have like a "Honey, number one, you have like a bunch of crap on your phone. bunch of crap on your phone. bunch of crap on your phone. Crap on your phone." So you can't really Crap on your phone." So you can't really Crap on your phone." So you can't really complain too much cuz they still have complain too much cuz they still have complain too much cuz they still have like the best transfer process, right? like the best transfer process, right? like the best transfer process, right? And for over all these generations, I've And for over all these generations, I've And for over all these generations, I've never lost anything, which never lost anything, which never lost anything, which >> Yeah. No, it's good. I mean, you >> Yeah. No, it's good. I mean, you >> Yeah. No, it's good. I mean, you remember how it used to be, right? I remember how it used to be, right? I remember how it used to be, right? I mean, there wasn't a transfer process or mean, there wasn't a transfer process or mean, there wasn't a transfer process or >> you know, you'd plug your phone into >> you know, you'd plug your phone into >> you know, you'd plug your phone into >> Yeah.
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>> Yeah. >> Yeah. >> machine and would plug into like, >> machine and would plug into like, >> machine and would plug into like, >> oh my god, >> oh my god, >> oh my god, >> you got your contacts over, but uh now >> you got your contacts over, but uh now >> you got your contacts over, but uh now these days it's all like these days it's all like these days it's all like >> Yeah. I mean, Samsung, Lenovo, um >> Yeah. I mean, Samsung, Lenovo, um >> Yeah. I mean, Samsung, Lenovo, um Google, they they even do a good job. Google, they they even do a good job. Google, they they even do a good job. And they used to be way behind, you And they used to be way behind, you And they used to be way behind, you know. know. know. >> True. >> True. >> True. >> It's true. >> It's true. >> It's true. Apple Apple Apple's still killing it Apple Apple Apple's still killing it Apple Apple Apple's still killing it with that with that with that >> good >> good >> good >> and uh driving the refresh cycles. Yeah. >> and uh driving the refresh cycles. Yeah. >> and uh driving the refresh cycles. Yeah. You know, tell you right now, so people You know, tell you right now, so people You know, tell you right now, so people are coming up with all kinds of uh are coming up with all kinds of uh are coming up with all kinds of uh theories about why the 17 or this theories about why the 17 or this theories about why the 17 or this generation is doing so well. generation is doing so well. generation is doing so well. >> It boils down to this >> It boils down to this >> It boils down to this >> orange >> orange >> orange >> freaking color, man. >> freaking color, man. >> freaking color, man. >> I love orange. >> I love orange. >> I love orange. Yeah, Yeah, Yeah, >> it's just the color. >> it's just the color. >> it's just the color. >> Colors matter. >> Colors matter. >> Colors matter. >> It's AI. It's got to be the AI. It's >> It's AI. It's got to be the AI. It's >> It's AI. It's got to be the AI. It's like what? like what? like what? >> No, it's a cool color, man. >> No, it's a cool color, man. >> No, it's a cool color, man. >> Yeah. People should people want to look >> Yeah. People should people want to look >> Yeah. People should people want to look at get into colors. There's a company at get into colors. There's a company at get into colors. There's a company called Panone and they they they produce called Panone and they they they produce called Panone and they they they produce those books that have reference colors, those books that have reference colors, those books that have reference colors, but they every year they do a color but they every year they do a color but they every year they do a color study. I think it's free on their study. I think it's free on their study. I think it's free on their website, but and they what are the color website, but and they what are the color website, but and they what are the color trends for the year? They pick like trends for the year? They pick like trends for the year? They pick like color of the year. It's very color of the year. It's very color of the year. It's very interesting.
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interesting. interesting. >> It does affect us. It affects us >> It does affect us. It affects us >> It does affect us. It affects us psychologically, the colors and uh psychologically, the colors and uh psychologically, the colors and uh >> and it's it's an interesting uh business >> and it's it's an interesting uh business >> and it's it's an interesting uh business to be in first of all and a very to be in first of all and a very to be in first of all and a very interesting field to study in terms of interesting field to study in terms of interesting field to study in terms of color theory and how people are affected color theory and how people are affected color theory and how people are affected by color. But you know, people at Apple by color. But you know, people at Apple by color. But you know, people at Apple obviously take that pretty seriously and obviously take that pretty seriously and obviously take that pretty seriously and >> paying off because they picked orange. >> paying off because they picked orange. >> paying off because they picked orange. Oh, there you go. You got what is that? Oh, there you go. You got what is that? Oh, there you go. You got what is that? That's the new Lenovo thingy thingy. That's the new Lenovo thingy thingy. That's the new Lenovo thingy thingy. >> Yeah. X9. It's their first white Think >> Yeah. X9. It's their first white Think >> Yeah. X9. It's their first white Think Pad. Pad. Pad. Amen. Amen. Amen. >> And it's and for them from a brand >> And it's and for them from a brand >> And it's and for them from a brand perspective, it's a huge deal, right? perspective, it's a huge deal, right? perspective, it's a huge deal, right? >> Yeah. >> Yeah. >> Yeah. >> But yeah, >> But yeah, >> But yeah, >> and you know this thing, when did Apple >> and you know this thing, when did Apple >> and you know this thing, when did Apple ever do premium? Premium was always like ever do premium? Premium was always like ever do premium? Premium was always like these sort of, you know, modest tone these sort of, you know, modest tone these sort of, you know, modest tone down colors, right? Black, white, or down colors, right? Black, white, or down colors, right? Black, white, or some weird silver thingy. Blue, maybe a some weird silver thingy. Blue, maybe a some weird silver thingy. Blue, maybe a gold. But then this is this is gold. But then this is this is gold. But then this is this is different. This is like orange is a different. This is like orange is a different. This is like orange is a statement when you go orange, you know? statement when you go orange, you know? statement when you go orange, you know? You know, Filson, I'm a Filson fan. And You know, Filson, I'm a Filson fan. And You know, Filson, I'm a Filson fan. And they do the orange stuff, which they do the orange stuff, which they do the orange stuff, which traditionally has been like, you know, traditionally has been like, you know, traditionally has been like, you know, for like construction workers and stuff for like construction workers and stuff for like construction workers and stuff like warning, you know, don't run me like warning, you know, don't run me like warning, you know, don't run me over orange, you know, but now or if over orange, you know, but now or if over orange, you know, but now or if you're a hunter, right? You wear orange you're a hunter, right? You wear orange you're a hunter, right? You wear orange to make sure you don't get shot.
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to make sure you don't get shot. to make sure you don't get shot. >> Really, but then the the the game can >> Really, but then the the the game can >> Really, but then the the the game can see you from a mile away. You like a see you from a mile away. You like a see you from a mile away. You like a deer, you know, deer, you know, deer, you know, >> that's true. what or analopee or >> that's true. what or analopee or >> that's true. what or analopee or whatever the hell you're hunting. whatever the hell you're hunting. whatever the hell you're hunting. Probably can see you from like Probably can see you from like Probably can see you from like >> Well, I guess when you're in the blind, >> Well, I guess when you're in the blind, >> Well, I guess when you're in the blind, you don't wear the orange, but I guess you don't wear the orange, but I guess you don't wear the orange, but I guess when you're when you're when you're >> I'm not a hunter. I don't know how it >> I'm not a hunter. I don't know how it >> I'm not a hunter. I don't know how it works. You know, they just works. You know, they just works. You know, they just >> someone can comment how that works. >> someone can comment how that works. >> someone can comment how that works. >> Yeah. Yeah. Exactly. If you made it this >> Yeah. Yeah. Exactly. If you made it this >> Yeah. Yeah. Exactly. If you made it this far, please, if you're a hunter, avoid far, please, if you're a hunter, avoid far, please, if you're a hunter, avoid getting shot. getting shot. getting shot. >> There you go. >> There you go. >> There you go. >> Don't Don't dress up like a deer. That's >> Don't Don't dress up like a deer. That's >> Don't Don't dress up like a deer. That's Yeah. And do you dress in this color? Yeah. And do you dress in this color? Yeah. And do you dress in this color? >> And are you counting on all of the >> And are you counting on all of the >> And are you counting on all of the potential game that you're trying to potential game that you're trying to potential game that you're trying to hunt to be colorblind, hunt to be colorblind, hunt to be colorblind, >> the other thing, >> the other thing, >> the other thing, >> right? Yeah. >> right? Yeah. >> right? Yeah. >> Anyway, well, I'm have to jump to a >> Anyway, well, I'm have to jump to a >> Anyway, well, I'm have to jump to a rendevous. rendevous. rendevous. >> Yeah. So, hey, we'll just uh end the >> Yeah. So, hey, we'll just uh end the >> Yeah. So, hey, we'll just uh end the episode here. Thanks everyone. If you've episode here. Thanks everyone. If you've episode here. Thanks everyone. If you've made it this far, quite remarkable. That made it this far, quite remarkable. That made it this far, quite remarkable. That means you have attention means you have attention means you have attention that you are not like everyone else and that you are not like everyone else and that you are not like everyone else and have a 5-second attention span and will have a 5-second attention span and will have a 5-second attention span and will no longer be able to learn or eventually no longer be able to learn or eventually no longer be able to learn or eventually think. Because remember with AI, what think. Because remember with AI, what think. Because remember with AI, what was the big thing?
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was the big thing? was the big thing? Attention. And when you lose it as a Attention. And when you lose it as a Attention. And when you lose it as a human being, guess what? Um you're not human being, guess what? Um you're not human being, guess what? Um you're not going to be better than AI. So anyways, going to be better than AI. So anyways, going to be better than AI. So anyways, maybe um meditate on that for a little maybe um meditate on that for a little maybe um meditate on that for a little bit. bit. bit. Again, for those of you who've made it Again, for those of you who've made it Again, for those of you who've made it this far, wow, you're going to survive. this far, wow, you're going to survive. this far, wow, you're going to survive. And um speaking of attention, I don't And um speaking of attention, I don't And um speaking of attention, I don't remember everything that we talked remember everything that we talked remember everything that we talked about, but I know that we started with about, but I know that we started with about, but I know that we started with Qualcomm, Arduino, we talked about Qualcomm, Arduino, we talked about Qualcomm, Arduino, we talked about computing, we talked about uh computing, we talked about uh computing, we talked about uh >> Intel and how it takes a hell of a long >> Intel and how it takes a hell of a long >> Intel and how it takes a hell of a long time and a lot of investment to get to time and a lot of investment to get to time and a lot of investment to get to the achievement that they did this week, the achievement that they did this week, the achievement that they did this week, which was 18A basically, you know, which was 18A basically, you know, which was 18A basically, you know, producing their first wafer. And uh and producing their first wafer. And uh and producing their first wafer. And uh and then we talked about uh Edge AI because then we talked about uh Edge AI because then we talked about uh Edge AI because why Pete's on and he will about edge AI. why Pete's on and he will about edge AI. why Pete's on and he will about edge AI. He's going to bug the crap out of us He's going to bug the crap out of us He's going to bug the crap out of us about edge AI forever and ever. about edge AI forever and ever. about edge AI forever and ever. >> And anyways, we hope that you found this >> And anyways, we hope that you found this >> And anyways, we hope that you found this episode insightful and helpful. Uh episode insightful and helpful. Uh episode insightful and helpful. Uh remember, just listen to all the remember, just listen to all the remember, just listen to all the episodes. we've already answered all the episodes. we've already answered all the episodes. we've already answered all the questions that you questions that you questions that you >> going into these new hype cycles of >> going into these new hype cycles of >> going into these new hype cycles of resurrected zombie technologies resurrected zombie technologies resurrected zombie technologies >> and um yeah remember elevate >> and um yeah remember elevate >> and um yeah remember elevate communities.org communities.org communities.org org. That is the charity that we support org. That is the charity that we support org. That is the charity that we support and that we sponsor here on IoT Coffee
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and that we sponsor here on IoT Coffee and that we sponsor here on IoT Coffee Talk. Please go there and um consider Talk. Please go there and um consider Talk. Please go there and um consider making a donation. We're trying to making a donation. We're trying to making a donation. We're trying to elevate communities all over the world elevate communities all over the world elevate communities all over the world uh help them uh implement uh you know uh help them uh implement uh you know uh help them uh implement uh you know emerging technologies IoTish kind of emerging technologies IoTish kind of emerging technologies IoTish kind of stuff resilient prepared in the light of stuff resilient prepared in the light of stuff resilient prepared in the light of what are probably going to be increasing what are probably going to be increasing what are probably going to be increasing uh natural disasters and all these other uh natural disasters and all these other uh natural disasters and all these other nasty things that lives. So with that nasty things that lives. So with that nasty things that lives. So with that remember uh subscribe to IoT coffee talk remember uh subscribe to IoT coffee talk remember uh subscribe to IoT coffee talk at ww.io iotalk.com at ww.io iotalk.com at ww.io iotalk.com and we will see you next week. and we will see you next week. and we will see you next week. >> That was good. >> That was good. >> That was good. >> Pete, don't fall. >> Pete, don't fall. >> Pete, don't fall. >> I know. I'll see you. >> I know. I'll see you. >> I know. I'll see you. >> PS >> PS >> PS [Music]
Summary
The discussion revolves around SF Tech Week and innovations in local/edge AI. Key references include Qualcomm, Fento AI, and the concept of private AI agents. The practical takeaway is to attend these free events to learn about new startup ideas and technologies in the AI space.