\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},"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>","full","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/a4e3f283-5622-4551-ba6f-988d8af18aa3.mp3",1125,"2024-11-14T14:03:24.832Z",22,"Speaker 1 00:00:00\n\nHey everyone, welcome back. It's time for another deep dive. And today we're going to be exploring something really interesting. The reasoning era of AI.\n\nSpeaker 0 00:00:09\n\nSounds pretty futuristic.\n\nSpeaker 1 00:00:11\n\nYeah, it does kind of feel like we're stepping into the world of sci-fi, but it's actually happening right now. And to help us navigate this new landscape, we're diving into Sequoia Capital's recent essay, Generative AI's Act 01. The reasoning era begins.\n\nSpeaker 0 00:00:25\n\nIt's a fascinating read. Right. It really lays out how AI is evolving beyond just pattern recognition and moving towards actual reasoning. Right.\n\nSpeaker 1 00:00:33\n\nLike AI that can actually think things through.\n\nSpeaker 0 00:00:36\n\nExactly. And the essay really highlights how OpenAI's new model, 01, is at the forefront of this shift. 01.\n\nSpeaker 1 00:00:43\n\nThat's one that used to be called Strawberry, right?\n\nSpeaker 0 00:00:45\n\nYeah. They decided to go with a more formal name in the end.\n\nSpeaker 1 00:00:47\n\nMakes sense. So what makes 01 so different? The essay keeps mentioning this inference time compute thing, and I'm not totally sure I get it.\n\nSpeaker 0 00:00:54\n\nOkay. So imagine you're playing chess and you only have a few minutes left. Okay. So imagine you're playing chess and you only have a few minutes left. You only have like a minute to make each move.\n\nSpeaker 1 00:00:58\n\nOkay. Got it. Fast paced.\n\nSpeaker 0 00:00:59\n\nchess. Right. Now, a traditional AI might just quickly analyze the board based on its initial training data and make a move. But an AI with higher inference time compute would actually take more time to think things through.\n\nSpeaker 1 00:01:12\n\nHmm. So it's like it's actually strategizing.\n\nSpeaker 0 00:01:15\n\nExactly. It's considering different possibilities and potential outcomes before making a decision.\n\nSpeaker 1 00:01:20\n\nSo it's not just about how fast the AI can process information, but also how much time it spends actually reasoning.\n\nSpeaker 0 00:01:27\n\nExactly. And that's what's so groundbreaking about O1. It actually employs what's called chains of thought. To break down problems and reason through them step by step.\n\nSpeaker 1 00:01:35\n\nSo it's like watching a human think through a problem.\n\nSpeaker 0 00:01:38\n\nIn a way, yes. It's really fascinating.\n\nSpeaker 1 00:01:40\n\nAnd that ties into this whole system one versus system two thinking thing that the essay talks about, right?\n\nSpeaker 0 00:01:45\n\nExactly. So system one thinking is our fast, intuitive thinking. Like when you recognize a face or recall a simple fact.\n\nSpeaker 1 00:01:52\n\nGot it. Like knowing the capital of France is Paris. Exactly.\n\nSpeaker 0 00:01:55\n\nBut for more complex tasks, like solving a math problem or planning a trip, we need to engage our system two thinking.\n\nSpeaker 1 00:02:01\n\nThe slower, more deliberate kind of thinking. Right.\n\nSpeaker 0 00:02:04\n\nAnd what sets O1 apart is that it seems to be demonstrating this system two capability. It's able to tackle those more complex multi-step problems that require deeper thought processes.\n\nSpeaker 1 00:02:15\n\nSo O1 is like the first AI that can actually think like us in a way.\n\nSpeaker 0 00:02:19\n\nIt's definitely a significant step in that direction.\n\nSpeaker 1 00:02:21\n\nOkay, so the essay mentions that O1 uses chains of thought for reasoning, but how does that actually work?\n\nSpeaker 0 00:02:27\n\nSo it's a combination of its training data and a reinforcement learning process.\n\nSpeaker 1 00:02:31\n\nReinforcement learning. So it's learning from its mistakes and getting better over time.\n\nSpeaker 0 00:02:35\n\nExactly. It's constantly refining its reasoning abilities based on the feedback it receives. Wow.\n\nSpeaker 1 00:02:41\n\nSo it's almost like O1 is learning how to think strategically, just like a human would with practice.\n\nSpeaker 0 00:02:47\n\nYou could say that. And this has some pretty mind-blowing implications. The essay suggests that this shift toward reasoning could lead to AI systems that can tackle challenges that were previously considered impossible for machines.\n\nSpeaker 1 00:02:58\n\nLike what kind of challenges?\n\nSpeaker 0 00:02:59\n\nImagine AI that can help us develop new scientific theories, or optimize incredibly complex systems, or even create art that rivals human creativity.\n\nSpeaker 1 00:03:08\n\nIt's like AI is becoming less of a tool and more of a collaborator. But this all sounds a little too good to be true. I mean, isn't there a risk that these super intelligent AI systems could become too powerful or even dangerous?\n\nSpeaker 0 00:03:21\n\nIt's a valid concern. And that's why the essay stresses the importance of careful thought and planning as we navigate this new frontier. We need to ensure that these systems are aligned with human values and used responsibly.\n\nSpeaker 1 00:03:34\n\nSo it's not just about building the most powerful AI possible, but about building AI that benefits humanity. Exactly.\n\nSpeaker 0 00:03:41\n\nAnd that brings us to another fascinating concept. The essay explores cognitive architectures.\n\nSpeaker 1 00:03:46\n\nOkay. Cognitive architectures. What are those?\n\nSpeaker 0 00:03:48\n\nThink of them as specialized thinking structures. designed to tackle specific types of tasks.\n\nSpeaker 1 00:03:54\n\nSo like different AI systems might need different cognitive architectures depending on what they're designed to do. Exactly.\n\nSpeaker 0 00:04:00\n\nIt's kind of like how a doctor and an engineer approach problems in very different ways. They need different mental frameworks and tools.\n\nSpeaker 1 00:04:06\n\nSo it's not about creating one super AI that can do everything, but rather building specialized AI systems that are optimized for specific jobs.\n\nSpeaker 0 00:04:15\n\nPrecisely. The essay gives the example of a company called Factory that's developing these AI droids with custom cognitive architectures.\n\nSpeaker 1 00:04:23\n\nAI droids? That sounds straight out of Star Wars.\n\nSpeaker 0 00:04:26\n\nI know, right? Yeah. But these droids are designed for things like code review or software migration. They're like highly skilled specialists in their respective fields.\n\nSpeaker 1 00:04:35\n\nSo instead of replacing humans altogether, these AI systems are more like augmenting our capabilities.\n\nSpeaker 0 00:04:41\n\nThat's the idea. And this leads to another interesting shift that the essay highlights the move from software as a service or SaaS to service as a software.\n\nSpeaker 1 00:04:49\n\nWait, service as a software. I'm not sure I follow.\n\nSpeaker 0 00:04:52\n\nSo instead of just providing software tools, AI systems will actually deliver services traditionally performed by humans.\n\nSpeaker 1 00:04:57\n\nOkay. Give me an example. Sure.\n\nSpeaker 0 00:04:59\n\nLike cybersecurity testing. Right now, that's a very expensive process because it relies on highly skilled human experts. But an AI powered cybersecurity tester could automate a lot of that work. making it more affordable and accessible.\n\nSpeaker 1 00:05:13\n\nSo it's not about replacing human experts, but giving them a powerful new tool.\n\nSpeaker 0 00:05:17\n\nExactly. And the essay points out that this shift towards service as a software has the potential to disrupt entire industries. Wow.\n\nSpeaker 1 00:05:26\n\nThis is all really fascinating. So where do we go from here? Where is the money flowing in this rapidly evolving world of AI?\n\nSpeaker 0 00:05:33\n\nWell, the essay breaks down the investment landscape into a few key layers.\n\nSpeaker 1 00:05:37\n\nOkay. So where are the big players putting their bets?\n\nSpeaker 0 00:05:41\n\nWell, as you might expect, the infrastructure layer is dominated by the hyperscalers. like Google, Microsoft, Amazon, they're the ones investing heavily in the computing power needed to train and run these massive AI models.\n\nSpeaker 1 00:05:53\n\nIt's like they're building the foundation for this whole new AI ecosystem. Exactly.\n\nSpeaker 0 00:05:57\n\nThen we have the model layer where companies like OpenAI and Google's DeepLine are competing to develop the most advanced AI models.\n\nSpeaker 1 00:06:04\n\nAnd this is where we see a mix of hyperscalers and financial investors, right? Yes.\n\nSpeaker 0 00:06:09\n\nThe essay mentions that financial investors are often drawn to the wow factor of these cutting edge models, even if the financial returns aren't immediately clear.\n\nSpeaker 1 00:06:18\n\nIt's like investing in the early days of the internet. You're betting on the long-term potential. Exactly.\n\nSpeaker 0 00:06:24\n\nNow, the next layer is where things get really interesting for venture capitalists. It's the layer of developer tools and infrastructure software.\n\nSpeaker 1 00:06:32\n\nSo the companies that are building the picks and shovels for the AI gold rush. Exactly.\n\nSpeaker 0 00:06:36\n\nAnd the essay suggests that this is a particularly attractive area for investment because these tools will be essential for anyone working with AI.\n\nSpeaker 1 00:06:44\n\nMakes sense. So for venture capitalists looking to invest in AI, this layer seems like a pretty safe bet.\n\nSpeaker 0 00:06:50\n\nIt's definitely worth considering, but the layer that's attracting the most attention from venture capitalists is the application\n\nSpeaker 1 00:06:56\n\nlayer. So this is where we see AI being applied to real-world problems solving specific needs for businesses and consumers.\n\nSpeaker 0 00:07:04\n\nPrecisely. Like the examples we discussed earlier, AI-powered cybersecurity testing, AI-powered CRMs, AI work assistance, that kind of thing.\n\nSpeaker 1 00:07:13\n\nRight, the stuff that actually makes a difference in people's lives.\n\nSpeaker 0 00:07:16\n\nExactly. And the essay highlights a few really interesting companies in this space, like Day. dot AI, which is developing an AI-powered CRM.\n\nSpeaker 1 00:07:25\n\nYeah, I've heard of that one. They're getting a lot of\n\nSpeaker 0 00:07:27\n\nbuzz. And then there's Glean, an AI work assistant that helps you find information and complete tasks more efficiently.\n\nSpeaker 1 00:07:33\n\nSo it's like having a super-powered research assistant at your fingertips. Exactly.\n\nSpeaker 0 00:07:38\n\nAnd the essay also mentions XBOW, a company that's building an AI-powered penetration\n\nSpeaker 1 00:07:43\n\ntester. Wait, an AI that can hack into systems? Isn't that a bit risky?\n\nSpeaker 0 00:07:47\n\nI know it sounds a little crazy, but think about it this way. Right now, cybersecurity testing is extremely expensive because it relies on highly skilled human experts. XBOW's AI pen tester could automate a lot of that work, making it much more affordable and accessible.\n\nSpeaker 1 00:08:04\n\nSo it's not about replacing human security experts, but giving them a powerful new tool. Exactly.\n\nSpeaker 0 00:08:09\n\nAnd this really highlights the essay's overall message. AI is not about replacing humans, but about augmenting our capabilities and helping us work more effectively.\n\nSpeaker 1 00:08:18\n\nWhich brings up another important point, the impact of AI on the job market. That's a concern a lot of people have. How does the essay address that?\n\nSpeaker 0 00:08:27\n\nThe authors acknowledge that some jobs will inevitably be automated. But they also argue that AI will create entirely new industries and job roles that we can't even imagine yet.\n\nSpeaker 1 00:08:36\n\nSo it's not just about job losses, but also about job creation. Exactly.\n\nSpeaker 0 00:08:41\n\nAnd the key will be for people to adapt and develop new skills that complement AI rather than compete with it.\n\nSpeaker 1 00:08:47\n\nSo lifelong learning is going to be more important than ever. Absolutely.\n\nSpeaker 0 00:08:51\n\nAnd the essay also stresses the importance of education and training to prepare the workforce for this new era of AI.\n\nSpeaker 1 00:08:57\n\nIt sounds like a lot of thought needs to go into how we manage this transition.\n\nSpeaker 0 00:09:00\n\nIt definitely does. And that brings us to another crucial aspect, the ethical implications of AI. Right.\n\nSpeaker 1 00:09:06\n\nThat's something we touched on earlier, but it's definitely worth exploring further.\n\nSpeaker 0 00:09:09\n\nThe essay makes a very strong case for responsible AI development. We need to ensure that these systems are aligned with human values and used for the benefit of society.\n\nSpeaker 1 00:09:19\n\nSo it's not just about building powerful AI, but about building it ethically.\n\nSpeaker 0 00:09:23\n\nPrecisely. We need to consider the potential consequences of our actions and ensure that AI is used in a way that promotes fairness, transparency, and accountability.\n\nSpeaker 1 00:09:34\n\nThis all ties back to that intriguing concept of an AI Move 37 moment that we discussed earlier. You know, that moment where AI surprises us with a truly groundbreaking insight or capability. Yes.\n\nSpeaker 0 00:09:47\n\nThe essay suggests that such a breakthrough could occur as AI's reasoning abilities continue to advance.\n\nSpeaker 1 00:09:53\n\nAnd if that happens, it could be a pivotal moment in human history.\n\nSpeaker 0 00:09:56\n\nIt could mark a new era of collaboration between humans and AI, where we work together to solve some of the world's most pressing challenges.\n\nSpeaker 1 00:10:03\n\nThis deep dive has been incredibly thought-provoking. It's clear that we're on the cusp of a major technological shift.\n\nSpeaker 0 00:10:09\n\nWe are. And as we move further into this reasoning era of AI, the key will be to approach it thoughtfully, ethically, and with a clear vision for how we want this technology to shape our future.\n\nSpeaker 1 00:10:19\n\nIt's a future full of both incredible opportunities and some very real challenges. Exactly.\n\nSpeaker 0 00:10:24\n\nBut by engaging in these conversations and thinking critically about the implications of AI, we can help ensure that it's a future that benefits all of humanity.\n\nSpeaker 1 00:10:33\n\nI completely agree. This is definitely a topic we'll be revisiting in future deep dives.\n\nSpeaker 0 00:10:38\n\nI look forward to it.\n\nSpeaker 1 00:10:39\n\nBut for now, that's all the time we have for today's deep dive.\n\nSpeaker 0 00:10:42\n\nThanks for having me.\n\nSpeaker 1 00:10:43\n\nThanks for joining us. And until next time, keep exploring and stay curious.\n\nSpeaker 0 00:10:48\n\nIt's like a multi-layered cake. Okay.\n\nSpeaker 1 00:10:50\n\nSo where are the big players putting their money?\n\nSpeaker 0 00:10:52\n\nWell, the infrastructure layer. That's kind of the base of the cake. That's dominated by the hyperscalers, you know, Google, Microsoft, Amazon. Right.\n\nSpeaker 1 00:11:00\n\nThe giants.\n\nSpeaker 0 00:11:01\n\nExactly. They're investing heavily in the computing power that's needed to train and run these massive AI models.\n\nSpeaker 1 00:11:09\n\nIt's like building the foundation for a skyscraper, right? You need that solid base to support everything else. Exactly.\n\nSpeaker 0 00:11:15\n\nThen you've got the model layer. This is where companies like OpenAI and Google's DeepMind are battling it out to develop the most advanced AI models.\n\nSpeaker 1 00:11:22\n\nAnd this is where we see a mix of those hyperscalers and financial investors, right?\n\nSpeaker 0 00:11:27\n\nYeah. The essay makes an interesting point about financial investors. They're often drawn to the wow factor of these cutting-edge models, even if the financial returns aren't super clear yet.\n\nSpeaker 1 00:11:38\n\nIt's a bit like investing in the early days of the internet. You're betting on the long-term potential.\n\nSpeaker 0 00:11:43\n\nExactly. And then we come to the layer that's really catching the eye of venture capitalists. It's the developer tools and infrastructure software layer.\n\nSpeaker 1 00:11:52\n\nSo the companies that are building the tools that everyone else needs to work with AI. Exactly.\n\nSpeaker 0 00:11:57\n\nIt's kind of like during the cloud computing boom. Remember all those companies that provided tools and software for developers? They did incredibly well.\n\nSpeaker 1 00:12:04\n\nRight. So history might be repeating itself here.\n\nSpeaker 0 00:12:07\n\nPotentially. So for venture capitalists looking to get into the AI game, this layer is looking pretty attractive.\n\nSpeaker 1 00:12:14\n\nIt's like a safer bet in a way.\n\nSpeaker 0 00:12:16\n\nIt's definitely worth considering. But the layer that's generating the most buzz among venture capitalists is the application layer.\n\nSpeaker 1 00:12:22\n\nAh, so this is where things get real. This is where we see AI being used to solve actual problems for businesses and consumers.\n\nSpeaker 0 00:12:29\n\nExactly. Think about the examples we talked about earlier. AI-powered cybersecurity testing, AI-powered CRMs, AI work assistants.\n\nSpeaker 1 00:12:39\n\nThe stuff that people are actually going to use. Precisely.\n\nSpeaker 0 00:12:41\n\nAnd the essay spotlights some interesting companies in this space, like Day.ai. They're developing an AI-powered CRM.\n\nSpeaker 1 00:12:49\n\nYeah, I've heard of them. They're making some big waves.\n\nSpeaker 0 00:12:51\n\nAnd then there's Glean, an AI work assistant that helps you find information and get things done more efficiently.\n\nSpeaker 1 00:12:57\n\nLike having a super smart assistant by your side.\n\nSpeaker 0 00:12:59\n\nExactly. And the essay also mentions XPOW. they're building something pretty wild, an AI-powered penetration tester.\n\nSpeaker 1 00:13:07\n\nHold on. An AI that can hack into systems? That sounds a little scary. I know, right?\n\nSpeaker 0 00:13:11\n\nBut think about it this way. Cyber security testing is super expensive right now because it relies on these highly skilled human experts.\n\nSpeaker 1 00:13:17\n\nYeah, that makes sense.\n\nSpeaker 0 00:13:18\n\nBut XBOW's AI penetration tester could potentially automate a lot of that work, making it way more affordable and accessible for companies of all sizes.\n\nSpeaker 1 00:13:27\n\nSo it's not about replacing those human experts, but giving them a powerful new tool.\n\nSpeaker 0 00:13:31\n\nExactly. And this really gets to the heart of the essay's message. AI is not about replacing us. It's about augmenting our capabilities and making us more effective.\n\nSpeaker 1 00:13:42\n\nWhich brings us to a big question that a lot of people have. How is all of this going to impact jobs?\n\nSpeaker 0 00:13:48\n\nIt's definitely a valid concern. And the essay doesn't shy away from it. The authors acknowledge that some jobs will inevitably be automated.\n\nSpeaker 1 00:13:56\n\nIt's the fear of the robots taking over, right?\n\nSpeaker 0 00:13:59\n\nBut here's the thing. They also argue that AI will create new industries and new jobs that we haven't even thought of yet.\n\nSpeaker 1 00:14:06\n\nSo it's not a simple equation of AI equals job losses?\n\nSpeaker 0 00:14:10\n\nNot at all. It's more nuanced than that. And the key is going to be adaptability. People need to learn new skills and find ways to work alongside AI.\n\nSpeaker 1 00:14:18\n\nSo lifelong learning is going to be crucial.\n\nSpeaker 0 00:14:20\n\nAbsolutely. And the essay really stresses the importance of education and training to get people ready for this new era of AI.\n\nSpeaker 1 00:14:27\n\nIt sounds like we need to be thinking about this very carefully. We do.\n\nSpeaker 0 00:14:30\n\nAnd that leads us to another really important consideration, the ethics of AI.\n\nSpeaker 1 00:14:35\n\nRight. We touched on that earlier, but it's definitely worth digging into deeper.\n\nSpeaker 0 00:14:38\n\nAbsolutely. The essay makes a powerful argument for developing AI responsibly. We need to make sure that these systems align with human values and are used for the benefit of society.\n\nSpeaker 1 00:14:50\n\nSo it's not just about building powerful AI. It's about building AI that's ethical.\n\nSpeaker 0 00:14:55\n\nExactly. We need to think about the potential consequences and make sure that AI is used in a way that's fairest, transparent, and accountable.\n\nSpeaker 1 00:15:02\n\nThis all circles back to something we talked about earlier, that AI move 37 moment. The moment where AI does something truly unexpected and groundbreaking.\n\nSpeaker 0 00:15:11\n\nRight, like when AlphaGo made that move that no human player would have even considered.\n\nSpeaker 1 00:15:15\n\nExactly. The essay suggests that we could see similar breakthroughs with reasoning AI.\n\nSpeaker 0 00:15:19\n\nAnd those breakthroughs could change everything.\n\nSpeaker 1 00:15:21\n\nIt's like we're on the verge of a new era.\n\nSpeaker 0 00:15:23\n\nWe are. And as we move into this reasoning era of AI. The key will be to approach it thoughtfully, ethically, and with a clear vision for the future.\n\nSpeaker 1 00:15:32\n\nA future where AI helps us solve problems and create a better world. Exactly.\n\nSpeaker 0 00:15:36\n\nYeah.\n\nSpeaker 1 00:15:36\n\nIt really feels like we're at a turning point.\n\nSpeaker 0 00:15:38\n\nIt does, doesn't it? This reasoning era of AI could really change everything.\n\nSpeaker 1 00:15:43\n\nAnd we've talked about the potential benefits, but what about the potential downsides? I mean, a lot of people are worried about AI taking over jobs. Right.\n\nSpeaker 0 00:15:50\n\nThat's a big one. And the essay acknowledges that, yes, some jobs will probably be automated.\n\nSpeaker 1 00:15:55\n\nLike it's inevitable, right? As AI gets smarter.\n\nSpeaker 0 00:15:58\n\nYeah, probably. But here's the thing. The authors also make the point that AI is going to create new industries and new jobs,\n\nSpeaker 1 00:16:06\n\ntoo. Jobs that we can't even imagine yet.\n\nSpeaker 0 00:16:08\n\nExactly. Like, think about when cars were first invented. Okay. All those jobs related to horse-drawn carriages, blacksmiths, stable hands, all that, those jobs disappeared. Right. But then a whole new industry sprang up around automobiles, manufacturing, sales repairs, you name it.\n\nSpeaker 1 00:16:25\n\nSo it's not just about jobs disappearing. It's about new jobs being created, too.\n\nSpeaker 0 00:16:29\n\nExactly. And just like the automobile revolutionized transportation, AI could revolutionize tons of other fields.\n\nSpeaker 1 00:16:35\n\nOkay. So the key is to be adaptable, to learn new skills that will be valuable in this new world.\n\nSpeaker 0 00:16:40\n\nRight. And the essay really stresses the importance of education and training to prepare people for this AI-powered future.\n\nSpeaker 1 00:16:47\n\nSo we need to be proactive about this, not just wait for the robots to take over.\n\nSpeaker 0 00:16:51\n\nExactly. And that brings us to another crucial point that the essay brings up, AI ethics.\n\nSpeaker 1 00:16:57\n\nRight. We've touched on that, but it's definitely worth exploring further. Yeah.\n\nSpeaker 0 00:17:01\n\nIt's super important. I mean, we need to make sure that these AI systems are being developed and used responsibly, that they're aligned with human values.\n\nSpeaker 1 00:17:10\n\nLike we don't want to create AI that ends up harming us, right?\n\nSpeaker 0 00:17:13\n\nExactly. We need to think carefully about the potential consequences of this technology and make sure it's being used for good.\n\nSpeaker 1 00:17:20\n\nSo it's not just about building powerful AI, but building ethical AI.\n\nSpeaker 0 00:17:24\n\nRight. And the essay talks about this concept of an AI move, Thumbie 7 moment. Remember we discussed that earlier?\n\nSpeaker 1 00:17:29\n\nYeah, that moment where AI does something completely unexpected and game-changing.\n\nSpeaker 0 00:17:34\n\nExactly. Like AlphaGo's move that no human would have ever thought of.\n\nSpeaker 1 00:17:37\n\nAnd the essay suggests we could see similar breakthroughs with reasoning AI.\n\nSpeaker 0 00:17:42\n\nWhich is kind of mind-blowing when you think about it.\n\nSpeaker 1 00:17:44\n\nYeah, it's like we're standing on the edge of something truly transformative.\n\nSpeaker 0 00:17:47\n\nWe are. And it's up to us to make sure this transformation is a positive one.\n\nSpeaker 1 00:17:51\n\nSo we need to approach this new era of AI with both excitement and caution.\n\nSpeaker 0 00:17:56\n\nI think that's a great way to put it. We need to be mindful of both the potential benefits and the potential risks.\n\nSpeaker 1 00:18:02\n\nAnd engage in these important conversations about how to shape the future of AI.\n\nSpeaker 0 00:18:06\n\nExactly. Because the future of AI is not predetermined. It's something we're creating right now.\n\nSpeaker 1 00:18:11\n\nWell said. Well, this has been an incredible deep dive. Really thought-provoking.\n\nSpeaker 0 00:18:16\n\nIt has been, yeah.\n\nSpeaker 1 00:18:16\n\nSo to wrap things up, what's the one key takeaway you'd like to leave our listeners with?\n\nSpeaker 0 00:18:22\n\nI'd say this. The future of AI is in our hands. We need to be thoughtful about how we develop it and use it. And we need to make sure it's a future that benefits all of humanity.\n\nSpeaker 1 00:18:33\n\nThat's a great message to end on. So to our listeners, thank you so much for joining us on this exploration of the reasoning era of AI. It's been a pleasure. Keep those questions coming and stay curious about the amazing world of AI. Until next time.",{"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",[],[81,91,100,110,120,130,139,148,157],{"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},"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":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":89,"is_private":20,"plans":40,"video":40,"images":99},"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":101,"number":102,"season":36,"title":103,"description":104,"type":66,"image":11,"audio":105,"duration":106,"is_explicit":20,"code":102,"publish_date":107,"listenings":108,"is_private":20,"plans":40,"video":40,"images":109},"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":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},"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",15,{"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":128,"is_private":20,"plans":40,"video":40,"images":129},"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":131,"number":132,"season":36,"title":133,"description":134,"type":66,"image":11,"audio":135,"duration":136,"is_explicit":20,"code":132,"publish_date":137,"listenings":128,"is_private":20,"plans":40,"video":40,"images":138},"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":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":118,"is_private":20,"plans":40,"video":40,"images":147},"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":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":108,"is_private":20,"plans":40,"video":40,"images":156},"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},{"id":158,"number":24,"season":36,"title":159,"description":160,"type":66,"image":11,"audio":161,"duration":162,"is_explicit":20,"code":24,"publish_date":163,"listenings":70,"is_private":20,"plans":40,"video":40,"images":164},"a265ee3a-0825-4a6c-a7a0-89fba9eb267f","AI Dream Teams: How Multi-Agent Platforms Are Revolutionizing Business","Dive into the world of \u003Cb>Asilisc Scope\u003C/b> and multi-agent \u003Cb>AI platforms\u003C/b> that are transforming how businesses operate. Discover how interconnected\u003Cb> AI specialists\u003C/b> can streamline your company's workflow - from accounting to customer service and beyond. Learn how these \u003Cb>AI teams\u003C/b> collaborate under human supervision to tackle complex problems, potentially boosting efficiency and innovation across your entire organization. Join us as we explore the future of AI in business, where your next star employee might just be a team of artificial intelligences.","storage/podcasts/a916dc01-1db2-4f42-aaf0-e30bf94c491d/episodes/a265ee3a-0825-4a6c-a7a0-89fba9eb267f.mp3",494,"2024-10-20T12:58:43.907Z",{"image_80":13,"image_180":14,"image_240":15,"image_600":16,"image_1280":17},["Reactive",166],{"$ssite-config":167},{"_priority":168,"env":172,"name":173,"url":174},{"name":169,"env":170,"url":171},-10,-15,-4,"production","podcast-website","https://greatleveler.mave.digital/",["Set"],["ShallowReactive",177],{"$63LOZx6kQb":-1},"/ep-14",{"common":180},{"activeTab":181,"isShareActive":20,"episodes":182,"contentPosition":20,"podcast":5,"podcastSlug":183,"showPlayer":20,"activeTrack":40,"pauseTrack":20,"activeEpisode":61,"titleHeight":184,"website":185,"listenUrl":40,"isMobileShareActive":20,"isDataLoaded":34,"favicon":50,"customDomain":40,"episodesCount":184},"listen",[],"greatleveler",0,{"button_text":37,"button_link":38,"is_indexing":34,"ym_id":-1,"gtm_id":-1}]