\u003C/p>\u003Cp>How AI can level the playing field between top performers and less experienced staff\u003C/p>\u003Cp>The potential for massive cost savings and efficiency gains across various industries\u003C/p>\u003Cp>The ethical implications of AI in the workplace - threat or opportunity?\u003C/p>\u003Cp>Real-world implementation strategies and challenges\u003C/p>\u003Cp>\u003Cbr />\u003C/p>\u003Cp>Whether you're a CEO looking to gain a competitive edge, an HR director aiming to optimize your workforce, or simply curious about the future of work, this episode is a must-listen. We'll separate hype from reality and give you actionable insights on how AI might transform your professional life.\u003C/p>\u003Cp>Tune in for a fascinating glimpse into a future where humans and AI work side by side. \u003C/p>\u003Cp>The workplace revolution is here - are you ready?\u003C/p>","episodic","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/bb0d16b6-e14e-4b9f-8a31-8f81469302e9.jpg",{"image_80":13,"image_180":14,"image_240":15,"image_600":16,"image_1280":17},"storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/bb0d16b6-e14e-4b9f-8a31-8f81469302e9_80.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/bb0d16b6-e14e-4b9f-8a31-8f81469302e9_180.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/bb0d16b6-e14e-4b9f-8a31-8f81469302e9_240.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/bb0d16b6-e14e-4b9f-8a31-8f81469302e9_600.jpg","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/images/bb0d16b6-e14e-4b9f-8a31-8f81469302e9_1280.jpg","https://cloud.mave.digital/58641","Sergio Voropaev",false,32,2,{"rate":24,"count":22},5,[26,29,32],{"name":27,"subcategory":28,"is_main":20},"Образование","Самосовершенствование",{"name":30,"subcategory":31,"is_main":20},"Бизнес","Управление",{"name":33,"is_main":34},"Технологии",true,[36],1,"Lets connect","ceo@greatleveler.com",{"facebook":40,"twitter":41,"instagram":40,"telegram":42,"vk":40,"patreon":40,"boosty":40},null,"https://x.com/greatlevelercom","https://t.me/greatlevelercom",{"apple_id":44,"apple":45,"google":40,"spotify":46,"yandex":47,"vk":40,"castbox":48,"soundstream":40,"deezer":49,"overcast":50,"podcastAddict":50,"pocketCasts":50,"youtube":51,"soundcloud":40,"zvuk":50,"youtubeMusic":52,"myBook":40,"litres":53},1774183463,"https://podcasts.apple.com/ru/podcast/ai-synergy/id1774183463","https://open.spotify.com/show/2799vuVV6ZM7ipuxqHsEmM?si=LFkhdF-2QqWpMAE5xAC0FQ&nd=1&dlsi=0518d31c491e497b","https://music.yandex.ru/album/33938902","https://castbox.fm/channel/id6318548?country=ru","https://deezer.com/show/1001326571","","https://www.youtube.com/playlist?list=PLinPRXtk3-haYmjeEt_urdTKOji-r07l5","https://music.youtube.com/playlist?list=PLinPRXtk3-haYmjeEt_urdTKOji-r07l5","https://www.litres.ru/podcast/sergio-voropaev/ai-synergy-71218483/",[55],{"id":56,"podcast_id":7,"name":19,"info":57,"image":58,"createdAt":59,"updatedAt":60,"contact_id":40},"dba1999e-f8b8-4181-9f09-f7bd44a86280","Founder of Great Leveler AI - a platform helping tech leaders boost productivity by 43% through AI implementation. Former Swiss VC mentor, successful founder of multiple tech startups, and expert in AI business integration and scaling.","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/contacts/0361e8d5-08a5-4aab-b563-7c950643919e.jpeg","2024-11-14T10:46:22.583Z","2024-11-14T10:46:22.727Z",{"id":62,"number":63,"season":36,"title":64,"description":65,"type":66,"image":11,"audio":67,"duration":68,"is_explicit":20,"code":63,"publish_date":69,"listenings":70,"is_transcription_hidden":20,"text":71,"is_private":20,"plans":40,"video":40,"images":72,"reactions":73,"chapters":79,"relevantEpisodes":80},"002cb48a-e0d4-4803-a6dc-0435a6b8b32a",15,"Radio-Waves Vision Robots: How AI is Giving Machines Superhuman Senses","Join us as we dive into the revolutionary technology of \u003Cb>Panoradar\u003C/b>—a groundbreaking AI system giving robots a superpower once limited to sci-fi: seeing through walls, smoke, and obstacles. From life-saving search and rescue to self-driving breakthroughs, discover how AI and radio waves are reshaping the way robots \"see\" and interact with the world.","full","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/002cb48a-e0d4-4803-a6dc-0435a6b8b32a.mp3",812,"2024-11-15T06:52:40.209Z",20,"Speaker 0 00:00:00\n\nOkay, so get this. Are you ready for this? We're diving into some research that's like straight out of science fiction. I'm talking robots with x-ray vision.\n\nSpeaker 1 00:00:10\n\nYeah, seeing right through walls and smoke, you know?\n\nSpeaker 0 00:00:14\n\nNo way. It sounds impossible, right?\n\nSpeaker 1 00:00:16\n\nYou know the more.\n\nSpeaker 0 00:00:17\n\nReally? Tell me more.\n\nSpeaker 1 00:00:18\n\nResearchers have actually, they've developed this system. It uses radio waves. Oh, wow. And AI to give robots this whole new way of seeing things. It's pretty amazing. It's called Panorator. Panorator, okay. And it could like revolutionize a bunch of fields like search and rescue, even self-driving cars, all kinds of things.\n\nSpeaker 0 00:00:38\n\nThis is one of those deep dives where you have to just like sit back and let your mind go crazy because the possibilities are, I mean, they're endless. We've got research papers, articles, even some. early like test footage. So where should we start?\n\nSpeaker 1 00:00:51\n\nI think a good place to start is with the problem, you know, that this technology is trying to solve. Okay. So like current robot vision systems, right? I think like cameras and light are, you rely on light and they work great in clear conditions. They give you all this detail, but what about when you get like fog, smoke, even heavy rain? Yeah.\n\nSpeaker 0 00:01:10\n\nIt's like totally useless. It's like when you're driving in thick fog, your vision is just gone. You can barely see a few feet out of you.\n\nSpeaker 1 00:01:17\n\nExactly. Cameras and they face those same limitations. You know, their effectiveness just tanks when the life's blocked. So, they're great for some things, don't get me wrong, but not ideal when robots need to navigate, like, really tough environments.\n\nSpeaker 0 00:01:32\n\nI see. So, what about traditional radar? Because, you know, radar can penetrate obstacles, right? Yeah, exactly. So, why isn't that the go-to for robots?\n\nSpeaker 1 00:01:41\n\nWell, okay. So, traditional radar, it can see through stuff like smoke and walls, but the images it produces are, well, they're really low-res. Oh, okay. Think of it like seeing these blurry blobs on a screen. You can tell something's there, but you can't really make out, like, what it is or any details.\n\nSpeaker 0 00:01:57\n\nGotcha. So, a robot using that kind of radar. It could sense that there's an obstacle, but it couldn't really identify it or figure out how to get around it. Exactly.\n\nSpeaker 1 00:02:07\n\nThat's the challenge, you know, finding a way to give robots that penetration power of radar, but with the detail of LIDAR or cameras.\n\nSpeaker 0 00:02:16\n\nAnd that's where things get interesting.\n\nSpeaker 1 00:02:17\n\nThis is where it gets really interesting. You ready for this? Hit me. The researchers behind Panoradar, they found inspiration in some pretty unexpected places.\n\nSpeaker 0 00:02:26\n\nOkay, where? Nature. Oh, interesting. Biomimicry. That's always a good sign. Yeah, exactly. The article I read, it talks about how animals like sharks and bats, they've evolved to see without light. Sharks, they use electrical fields to hunt. And bats, they have echolocation, right? To navigate in the dark. Right.\n\nSpeaker 1 00:02:46\n\nAnd that got the researchers thinking, what if we could do something similar with robots?\n\nSpeaker 0 00:02:50\n\nI like where this is going.\n\nSpeaker 1 00:02:51\n\nWhat if we use radio waves? Nope. Because they aren't limited by light like cameras are, they can penetrate those obstacles no problem.\n\nSpeaker 0 00:02:59\n\nOkay. So I'm seeing the connection here. Panoradar uses radio waves to see through obstacles, but how does it get those decaled images, the kind robots need to understand their environment?\n\nSpeaker 1 00:03:10\n\nThat's where the pano part comes in. It uses this rotating array of antennas that send out those radio waves and then they measure the reflection.\n\nSpeaker 0 00:03:18\n\nSo it's like scanning with radio waves.\n\nSpeaker 1 00:03:20\n\nIt is. It's kind of like a lighthouse sweeping its beam across the area. But, and here's the key, it's not just basic radar, right? Right. How do we go from those blurry blobs to a clear picture?\n\nSpeaker 0 00:03:33\n\nThat's the question.\n\nSpeaker 1 00:03:34\n\nAI. It uses artificial intelligence to combine the measurements from all those different angles as the antennas rotate. It's like taking multiple x-rays from different spots and then using a computer to put them all together into this one detailed 3D image.\n\nSpeaker 0 00:03:48\n\nSo it's not just seeing with radio waves. It's like interpreting that data with AI to create a super clear picture. What's the result?\n\nSpeaker 1 00:03:56\n\nIncredible. Pan Radar, it achieves the same level of detail as LiDAR, but way cheaper, which means way cheaper. So it could be used in way more places. think agriculture even home robotics imagine a robot that could find your lost keys by seeing through your furniture that's awesome yeah but i'm guessing it wasn't easy to get to this point oh no the research papers they talk about a bunch of technical hurdles it was a real challenge likewise one of the biggest ones was accuracy while the robot's moving it's like imagine trying to take a sharp picture while you're shaking the camera right tough right and then they had to teach the ai to interpret like complex indoor scenes. Think about all the different things in a room, the shapes, the materials.\n\nSpeaker 0 00:04:42\n\nYeah, that's a lot of information to process.\n\nSpeaker 1 00:04:43\n\nIt is. So they came up with this clever solution to train the AI. They used LiDAR data, the very thing they're trying to outperform.\n\nSpeaker 0 00:04:52\n\nSo they used the technology they were trying to improve on to teach the new system. Exactly.\n\nSpeaker 1 00:04:57\n\nThey fed Panoradar scans from LiDAR, different objects and environments, to show it what things look like with radio waves. It's like showing someone an apple and saying, okay, now try to, recognize it using only your sense of touch.\n\nSpeaker 0 00:05:09\n\nWow, clever. Did it work?\n\nSpeaker 1 00:05:11\n\nIt did. In fact, Panerator even started to do better than those traditional sensors in certain situations. They tested it in places full of smoke where cameras and LiDAR couldn't see anything, and Panerator was tracking objects no problem.\n\nSpeaker 0 00:05:24\n\nNo problem at\n\nSpeaker 1 00:05:24\n\nall. It even saw through glass walls, something that traditional sensors struggle with.\n\nSpeaker 0 00:05:29\n\nOkay, now that is impressive. This means we're talking about robots that can see through walls just as clearly as our current systems that need those perfect conditions.\n\nSpeaker 1 00:05:38\n\nExactly, and think about it. This is just the beginning. Panerator isn't about replacing those systems. It's about working with them. Oh, okay. Imagine combining Panerator with cameras and LiDAR. You'd get this super robust perception system.\n\nSpeaker 0 00:05:53\n\nA robot that can see in any condition using the best of each technology. That's crazy. What does this mean for the future of robotics? I mean, where do we even begin?\n\nSpeaker 1 00:06:03\n\nWell, that is a question for part two of our deep dive.\n\nSpeaker 0 00:06:06\n\nOoh, cliffhanger.\n\nSpeaker 1 00:06:07\n\nStay tuned because we are about to explore the mind-blowing possibilities of Panaradar and how it could change the world as we know it.\n\nSpeaker 0 00:06:14\n\nDon't even think about changing the channel because we will be right back.\n\nSpeaker 1 00:06:20\n\nWelcome back.\n\nSpeaker 0 00:06:20\n\nAll right. So we left off talking about how this tech, Panaradar, could totally change robotics. Yeah. It's not just about robots seeing better, right? It's like they understand the world in this completely different way.\n\nSpeaker 1 00:06:34\n\nYeah, exactly. And that opens up, I mean... So many possibilities. Like what? Okay. Think about search and rescue robots. Okay. Equipped with Panerator. Uh-huh. They could navigate through collapsed buildings, seeing through all that smoke and debris, finding survivors, people who are trapped.\n\nSpeaker 0 00:06:52\n\nIt'd be like giving superpowers to first responders. Right. They could assess everything so much faster. Yeah. Potentially saving more lives.\n\nSpeaker 1 00:07:00\n\nExactly. And it's not just about disasters, you know? Yeah. What else? Think about self-driving cars. Oh, yeah. Right now, they rely on cameras and LiDAR, and we know those struggle in bad weather. Right, right. So, a self-driving car with Panerator could save... through fog, snow, even heavy rain, making it way safer, more reliable.\n\nSpeaker 0 00:07:19\n\nExactly.\n\nSpeaker 1 00:07:20\n\nIt could even prevent accidents by detecting things that are hidden, like a car coming out of nowhere, you know, from a blind corner. That's huge.\n\nSpeaker 0 00:07:27\n\nThis could be a game changer for the whole car industry. Yeah.\n\nSpeaker 1 00:07:29\n\nAnd don't forget about exploration. You know, I don't tell me robots with Panoradar exploring the ocean, even going to other planets.\n\nSpeaker 0 00:07:37\n\nOh, now that's taking it to a whole new level. Right.\n\nSpeaker 1 00:07:40\n\nWhat would it be like to have robots mapping those underwater caves or searching for life on Mars using this tech?\n\nSpeaker 0 00:07:49\n\nAnd that's mind-blowing.\n\nSpeaker 1 00:07:50\n\nThink about those icy moons around Jupiter using Panaradar to map those oceans under the ice, places we could never go ourselves.\n\nSpeaker 0 00:07:58\n\nIt really does feel like we're about to unlock this whole new era of discovery.\n\nSpeaker 1 00:08:02\n\nAnd it all comes back to this simple idea, using radio waves to see. It shows you that sometimes the biggest innovations are from thinking outside the box, you know?\n\nSpeaker 0 00:08:11\n\nIt really does. Totally. You know, something that keeps coming up for me is the cost thing. Yeah. The research says Panaradar is a lot cheaper than LiDAR. What kind of impact could that have?\n\nSpeaker 1 00:08:19\n\nThat's a really important point. That lower cost could make it available to so many more industries, so many more uses. We could see it in agriculture, construction. Even health care. Wow. So we could have robots doing things that were just too expensive or too complicated to automate before.\n\nSpeaker 0 00:08:38\n\nRight. Like what? Give me an example.\n\nSpeaker 1 00:08:40\n\nOkay. Imagine robots using Panoradar to check bridges for damage or to monitor crops for signs of disease.\n\nSpeaker 0 00:08:47\n\nThat's fascinating to think about how this tech could touch so many different parts of our lives. Yeah. But like with any powerful tool, we have to think about the downsides too, right? Oh, absolutely. What are some of those?\n\nSpeaker 1 00:08:59\n\nAs more people start using Panoradar, we really need to think about privacy and security.\n\nSpeaker 0 00:09:04\n\nThat's true. I mean, if robots can see through walls, there's potential for misuse. We need to make sure it's used responsibly. Absolutely.\n\nSpeaker 1 00:09:12\n\nYou're right. We need to talk about the ethical side of this and make sure it's used for good.\n\nSpeaker 0 00:09:15\n\nThat's definitely something we should explore more in future deep dives. Yeah, for sure. But for now, let's switch gears a bit and talk about the research itself. You know, the nuts and bolts.\n\nSpeaker 1 00:09:26\n\nOkay, sounds good. What are you curious about?\n\nSpeaker 0 00:09:30\n\nWell, I read that they're already testing Pan Radar on real robots. Where are things at? I mean, how far along are they?\n\nSpeaker 1 00:09:38\n\nThey've made a lot of progress. They've put Panoradar on different robots like cars and drones, and they're doing field tests in all kinds of places.\n\nSpeaker 0 00:09:45\n\nI bet that comes with its own set of challenges. Oh, yeah. It's one thing to build it in a lab. Right. But to get it working out in the real world, that's got to be tough. It is.\n\nSpeaker 1 00:09:53\n\nThey have to deal with weather, navigate all sorts of terrain, make sure it's safe around people.\n\nSpeaker 0 00:09:58\n\nRight. It's like taking an idea and making it real. There's always tweaking and problem solving.\n\nSpeaker 1 00:10:02\n\nExactly. But they're doing great. They're always improving the algorithms, the hardware, and they're getting a ton of data from those field tests.\n\nSpeaker 0 00:10:12\n\nIt's really cool to see this tech evolve so fast. It is. It feels like we're on the edge of something big. I agree.\n\nSpeaker 1 00:10:17\n\nAnd it's not just the tech itself. This research is changing what we know about how robots see and how they interact with the world.\n\nSpeaker 0 00:10:26\n\nIt's kind of funny, right? Something as basic as radio waves can lead to such incredible things. It really is. It shows that sometimes those big discoveries are right in front of us.\n\nSpeaker 1 00:10:35\n\nWe just need to have the right way of looking at it, the right tools, and be a little curious.\n\nSpeaker 0 00:10:39\n\nAnd speaking of uncovering things, there's one more thing about Panorator I find really fascinating.\n\nSpeaker 1 00:10:46\n\nOh, what's that?\n\nSpeaker 0 00:10:47\n\nIt's the potential for it to, like, boost... other robot senses.\n\nSpeaker 1 00:10:52\n\nOh, interesting. Tell me more.\n\nSpeaker 0 00:10:53\n\nSo tell me more about Panoradar boosting other senses for robots.\n\nSpeaker 1 00:10:57\n\nOkay. Well, imagine combining it with touch. Touch, huh? Yeah. So like robots now, they mostly feel with these pressure sensors.\n\nSpeaker 0 00:11:05\n\nRight. But that's pretty basic compared to how we feel, right?\n\nSpeaker 1 00:11:07\n\nExactly. But if you could combine that 3D perception from Panoradar with like really good touch sensors, robots could start feeling things in a whole new way, even through\n\nSpeaker 0 00:11:16\n\nbarriers. Whoa, hold on. So they could figure out like the shape and texture of something without even touching it. Yep.\n\nSpeaker 1 00:11:22\n\nExactly. Even technology, Temperature, maybe. Think about it. A robot helping with a delicate surgery. It could feel those tiny differences in tissue, even through layers of skin.\n\nSpeaker 0 00:11:34\n\nOkay, now that is wild. It's like blurring the lines between what humans can do and what robots can do.\n\nSpeaker 1 00:11:40\n\nAnd that's just one example. They're even looking into smell and vibration sensing. A robot bloodhound.\n\nSpeaker 0 00:11:45\n\nSeriously, though, that's amazing. But I have to ask, if we give robots these human-like senses, do they start to like... see the world more like we\n\nSpeaker 1 00:11:56\n\ndo? That's a great question. I mean, there's still machines running algorithms, right? But as they get more and more input, their understanding of everything is definitely going to\n\nSpeaker 0 00:12:04\n\nchange. So they might not experience things the way we do, but they can process it all and make choices based on this much bigger picture.\n\nSpeaker 1 00:12:12\n\nExactly. It's like the difference between reading about a forest and actually being there, feeling it, smelling it, seeing it.\n\nSpeaker 0 00:12:18\n\nMakes you wonder, what does that mean for us working with robots in the future? Will it be easier? Will robots be more like partners than just tools?\n\nSpeaker 1 00:12:27\n\nI think so. Yeah. Imagine robots that not only do what you tell them, but they understand you, how you're feeling. Wow. They could pick up on your facial expressions, your tone of voice, things like that.\n\nSpeaker 0 00:12:38\n\nThat would be a whole other level. It's mind-blowing, but it brings up some serious questions too, right?\n\nSpeaker 1 00:12:43\n\nOf course, yeah. As these senses get better, we've got to be careful and make sure we're using this tech responsibly, ethically.\n\nSpeaker 0 00:12:50\n\nWell, I think it's safe to say we covered a lot today, from how Panoradar works to all the possibilities it brings for robotics and beyond.\n\nSpeaker 1 00:12:58\n\nYeah, we did, and I feel like we've only scratched the surface.\n\nSpeaker 0 00:13:01\n\nSo much more to explore. Before we go, I want to leave everyone with one thought. If we could teach robots to see through walls, what other amazing things might be possible? Could we break through our own human limits, sense things we never could before?\n\nSpeaker 1 00:13:16\n\nThat's what makes it all so exciting. There's so much potential, so many possibilities.\n\nSpeaker 0 00:13:20\n\nThe future is wide open, and we can't wait to see what happens next. Thanks for joining us on this deep dive into the incredible world of robot senses.\n\nSpeaker 1 00:13:30\n\nIt's been a blast. Stay curious, everyone. Yeah.",{"image_80":13,"image_180":14,"image_240":15,"image_600":16,"image_1280":17},[74,77],{"type":75,"count":76},"like","0",{"type":78,"count":76},"dislike",[],[81,91,101,110,120,129,139,148,157],{"id":82,"number":83,"season":36,"title":84,"description":85,"type":66,"image":11,"audio":86,"duration":87,"is_explicit":20,"code":83,"publish_date":88,"listenings":89,"is_private":20,"plans":40,"video":40,"images":90},"a4e3f283-5622-4551-ba6f-988d8af18aa3",14,"OpenAI's O1 AI's evolution beyond mere pattern recognition.","Dive into the mind-bending world of AI's \"reasoning era\" as we explore OpenAI's groundbreaking O1 model (formerly Strawberry). O1 can strategize and think step-by-step like humans do. \u003Cp>We unpack \u003Cb>Sequoia Capital'\u003C/b>s latest insights on \u003Cb>OpenAI\u003C/b>’s model O1, a game-changer in artificial reasoning, and dive into cognitive architectures.\u003C/p>","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/a4e3f283-5622-4551-ba6f-988d8af18aa3.mp3",1125,"2024-11-14T14:03:24.832Z",22,{"image_80":13,"image_180":14,"image_240":15,"image_600":16,"image_1280":17},{"id":92,"number":93,"season":36,"title":94,"description":95,"type":66,"image":11,"audio":96,"duration":97,"is_explicit":20,"code":93,"publish_date":98,"listenings":99,"is_private":20,"plans":40,"video":40,"images":100},"cc2a2fe8-8a86-4472-83c4-c7349da3c165",13,"SoundStorm Unleashed: Revolutionizing Audio Generation with Lightning Speed","Dive into the frontier of #audio innovation as we break down\u003Cp>This cutting-edge model generates audio at speeds \u003Cb>100x faster\u003C/b> than previous systems, redefining what's possible in \u003Cb>#music, #podcasts, #games\u003C/b>, and more. Join us as we explore the neural #codecs, parallel #decoding, and confidence-based sampling that make \u003Cb>SoundStorm\u003C/b> so powerful. From hyper-realistic #dialogues to adaptive #soundscapes, discover how this tech could transform #entertainment, #accessibility, and even #healthcare.\u003C/p>","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/cc2a2fe8-8a86-4472-83c4-c7349da3c165.mp3",1076,"2024-11-13T15:27:38.972Z",19,{"image_80":13,"image_180":14,"image_240":15,"image_600":16,"image_1280":17},{"id":102,"number":103,"season":36,"title":104,"description":105,"type":66,"image":11,"audio":106,"duration":107,"is_explicit":20,"code":103,"publish_date":108,"listenings":99,"is_private":20,"plans":40,"video":40,"images":109},"216dbfed-d0f6-4b90-a774-b3a3a8931523",12,"The Great AI Chip Race: Tech Giants Break Free from NVIDIA","In this episode, we explore how \u003Cb>Amazon, Google\u003C/b>, and other tech behemoths are shaking up the #AI industry by developing their own custom chips. From Amazon's secretive \u003Cb>Annapurna Labs\u003C/b> to Google's powerful \u003Cb>Trillium\u003C/b> processor, discover how this shift could revolutionize AI accessibility and pricing. Learn why major companies are reducing their reliance on \u003Cb>NVIDIA\u003C/b>, the implications for consumers and startups, and what this means for the future of \u003Cb>artificial intelligence\u003C/b>. Join us for an insightful discussion about what might be the biggest power shift in tech since the personal computing revolution.","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/216dbfed-d0f6-4b90-a774-b3a3a8931523.mp3",363,"2024-11-13T10:48:08.094Z",{"image_80":13,"image_180":14,"image_240":15,"image_600":16,"image_1280":17},{"id":111,"number":112,"season":36,"title":113,"description":114,"type":66,"image":11,"audio":115,"duration":116,"is_explicit":20,"code":112,"publish_date":117,"listenings":118,"is_private":20,"plans":40,"video":40,"images":119},"708dbdd4-2e2b-4cd8-8491-f50f73a38dde",11,"The Next 18 Months: Anthropic’s Case for Urgent AI Regulation","Join us on \u003Cb>The Next 18 Months\u003C/b>, where we dive deep into \u003Cb>\u003Ca href=\"https://\">Anthropic\u003C/a>\u003C/b>'s compelling vision for the future of artificial intelligence and the crucial role that regulation will play in shaping it. Discover why experts believe we have just 18 months to get crucial safety measures in place. With AI's capabilities advancing at breakneck speed, Anthropic’s latest report warns that time is running out to establish guidelines that protect society without stifling innovation. In this episode, we explore why experts say the next 18 months could make or break AI’s future and discuss the steps Anthropic believes are necessary to responsibly harness this transformative technology. Tune in as we dissect the risks, the revolutionary potential, and the pressing need for policies that balance safety with progress.","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/708dbdd4-2e2b-4cd8-8491-f50f73a38dde.mp3",1086,"2024-11-07T08:01:24.402Z",21,{"image_80":13,"image_180":14,"image_240":15,"image_600":16,"image_1280":17},{"id":121,"number":122,"season":36,"title":123,"description":124,"type":66,"image":11,"audio":125,"duration":126,"is_explicit":20,"code":122,"publish_date":127,"listenings":63,"is_private":20,"plans":40,"video":40,"images":128},"b6025c83-32ab-4144-8890-1e1c8256a0e9",10,"Building the Future of Gaming - AI Next-frame prediction.","Join us as we explore the mind-bending world of \u003Cb>AI-powered gaming\u003C/b>, where \u003Cb>next frame prediction technolog\u003C/b>y is revolutionizing how we interact with virtual worlds. We dive deep into groundbreaking projects from\u003Cb> Descartes and Etche\u003C/b>d, including an \u003Cb>AI version of Minecraft\u003C/b> that responds to players' imagination in real-time. Our expert guest breaks down the technology behind these innovations, from the specialized \u003Cb>Sohu chip\u003C/b> to the broader implications for education, healthcare, and creative expression. Discover how AI isn't just changing how we play games – it's reshaping how we interact with technology itself.","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/b6025c83-32ab-4144-8890-1e1c8256a0e9.mp3",893,"2024-11-02T11:22:32.534Z",{"image_80":13,"image_180":14,"image_240":15,"image_600":16,"image_1280":17},{"id":130,"number":131,"season":36,"title":132,"description":133,"type":66,"image":11,"audio":134,"duration":135,"is_explicit":20,"code":131,"publish_date":136,"listenings":137,"is_private":20,"plans":40,"video":40,"images":138},"da0fa61b-1d59-47f4-83d0-7aa1f0e4edcc",9,"The Search Wars: ChatGPT's New Web Powers vs Google & Perplexity","In today’s episode, we're diving into the evolving world of search engines and how groundbreaking upgrades to \u003Cb>\u003Ca href=\"https://\">ChatGPT\u003C/a>\u003C/b>'s search capabilities could be changing the game. Imagine asking a question and getting a direct, sourced answer instead of endless scrolling. We'll explore the magic behind ChatGPT's new real-time web access, how it stacks up against \u003Cb>\u003Ca href=\"https://\">Google Search\u003C/a>\u003C/b> and \u003Cb>\u003Ca href=\"https://\">Perplexity\u003C/a>\u003C/b>, and why this tech revolution might reshape how we explore, learn, and connect with information. From travel tips to stock updates, join us as we break down this “search revolution”—and debate who might come out on top!","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/da0fa61b-1d59-47f4-83d0-7aa1f0e4edcc.mp3",564,"2024-10-31T17:34:05.300Z",18,{"image_80":13,"image_180":14,"image_240":15,"image_600":16,"image_1280":17},{"id":140,"number":141,"season":36,"title":142,"description":143,"type":66,"image":11,"audio":144,"duration":145,"is_explicit":20,"code":141,"publish_date":146,"listenings":137,"is_private":20,"plans":40,"video":40,"images":147},"5e9f1099-955a-476a-83da-d29d29b9062a",8,"AI Mediator: How Google DeepMind’s Habermas Could Transform Conflict Resolution","Imagine a world where AI doesn’t just mediate disagreements but actively helps prevent conflicts from escalating, both in person and online. In this episode, we explore Google DeepMind’s latest breakthrough, Habermas (\u003Ca href=\"https://\">Habermas Machine dataset\u003C/a>)—a powerful AI designed to resolve disputes by finding genuine common ground among diverse viewpoints. Joined by an expert guest, we’ll dive into how this technology works, the promising research behind it, and the vast implications for promoting peace and understanding.","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/5e9f1099-955a-476a-83da-d29d29b9062a.mp3",774,"2024-10-30T08:51:40.551Z",{"image_80":13,"image_180":14,"image_240":15,"image_600":16,"image_1280":17},{"id":149,"number":150,"season":36,"title":151,"description":152,"type":66,"image":11,"audio":153,"duration":154,"is_explicit":20,"code":150,"publish_date":155,"listenings":63,"is_private":20,"plans":40,"video":40,"images":156},"d7427338-815f-469d-b655-9cf0acf5747f",7,"The Centaur Conundrum. Cognitive AI model.","Dive into the fascinating world of \u003Cb>\u003Ca href=\"https://huggingface.co/marcelbinz/Llama-3.1-Centaur-70B\">Centaur\u003C/a>\u003C/b>, an ambitious AI model. \u003Cp>Explore how this groundbreaking technology is blurring the lines between artificial intelligence and cognitive science, and uncover the incredible potential it holds for unlocking the secrets of human behavior and cognition.\u003C/p>","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/d7427338-815f-469d-b655-9cf0acf5747f.mp3",1598,"2024-10-29T14:14:44.823Z",{"image_80":13,"image_180":14,"image_240":15,"image_600":16,"image_1280":17},{"id":158,"number":159,"season":36,"title":160,"description":161,"type":66,"image":11,"audio":162,"duration":163,"is_explicit":20,"code":159,"publish_date":164,"listenings":118,"is_private":20,"plans":40,"video":40,"images":165},"54fcc72a-a8dc-468b-aeee-88e169dae27c",6,"Digital Minds at Work: The Revolution of Large Action Models","In this episode, we dive deep into the groundbreaking world of Large Action Models (LAMs), with a special focus on Anthropic's Claude 3.5 Haiku. We'll explore how this lightning-fast AI isn't just chatting anymore – it's actively using computers like a human would, opening files, navigating websites, and handling complex digital tasks through innovative pixel-based interaction. \u003Cp>\u003Cbr />\u003C/p>\u003Cp>Keywords: AI technology, Large Action Models, Anthropic, Claude 3.5 Haiku, computer automation, future of work, AI innovation\u003C/p>","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/54fcc72a-a8dc-468b-aeee-88e169dae27c.mp3",182,"2024-10-22T16:28:01.262Z",{"image_80":13,"image_180":14,"image_240":15,"image_600":16,"image_1280":17},["Reactive",167],{"$ssite-config":168},{"_priority":169,"env":173,"name":174,"url":175},{"name":170,"env":171,"url":172},-10,-15,-4,"production","podcast-website","https://greatleveler.mave.digital/",["Set"],["ShallowReactive",178],{"$63LOZx6kQb":-1},"/ep-15",{"common":181},{"activeTab":182,"isShareActive":20,"episodes":183,"contentPosition":20,"podcast":5,"podcastSlug":184,"showPlayer":20,"activeTrack":40,"pauseTrack":20,"activeEpisode":61,"titleHeight":185,"website":186,"listenUrl":40,"isMobileShareActive":20,"isDataLoaded":34,"favicon":50,"customDomain":40,"episodesCount":185},"listen",[],"greatleveler",0,{"button_text":37,"button_link":38,"is_indexing":34,"ym_id":-1,"gtm_id":-1}]