Podcasts about Artificial general intelligence

Rodrigo Liang of SambaNova Systems joins Nate to discuss The Future of Generative AI, Innovating at the Hardware Layer, and the Path to Artificial General Intelligence. In this episode we cover: The Rise of Neural Nets and Demand for Computing Power Transition models vs. legacy models. E-Chat GPT Introduction was Game Changing. Predictions For The Future of Generative AI AI's role in the digital age. Are there any professions that are at risk? Guest Links: LinkedIn Twitter SambaNova Systems The host of The Full Ratchet is Nick Moran, General Partner of New Stack Ventures, a venture capital firm committed to investing in founders outside of the Bay Area. To learn more about New Stack Ventures by visiting our Website and LinkedIn and be sure to follow us on Twitter. Want to keep up to date with The Full Ratchet? Subscribe to our podcast and follow us on LinkedIn and Twitter. Are you a founder looking for your next investor? Visit our free tool VC-Rank and we'll send a list of potential investors right to your inbox!

Discover when Peter Voss (Founder and CEO of AIGO.AI) decided to create a "Chatbot with a Brain", why he was able to lead a team of 400 people, and how he discovered his leadership blind spot (12 minute episode). CEO BLINDSPOTS® PODCAST GUEST: Peter Voss. He is the Founder, CEO, and Chief Scientist of AIGO.AI, an AGI-based Cognitive AI company with the world's first and only Chatbot with a Brain. Aigo AI is used by enterprise customers to deliver hyper-personalized experiences for their customers and employees. Aigo AI is at the forefront of the trend where 'Conversational AI is the new UI'. Peter started out in electronics engineering, but quickly moved into software. After developing a comprehensive ERP software package, Peter took his first software company from a zero to 400-person IPO in seven years. Fueled by the fragile nature of software, Peter embarked on a 20-year journey to study intelligence (how it develops in humans, how to measure it, and current AI efforts), and to replicate it in software. His research culminated in the creation of a natural language intelligence engine that can think, learn, and reason -- and adapt to, and grow with the user. He even coined the term ‘AGI'(Artificial General Intelligence) with fellow luminaries in the space. Peter is a Serial Entrepreneur, Engineer, Inventor and a Pioneer in Artificial Intelligence. For more information about Peter Voss and his company AIGO.ai; https://aigo.ai/how-it-works/ CEO Blindspots® Podcast Host: ⁠⁠Birgit Kamps⁠⁠. Having built an Inc. 500 Fastest Growing Private Company, Birgit has become the world's most trusted bridge builder for getting leadership teams to go further, faster. Since Birgit sold her previous staffing company, she started a leadership consulting company and serves as a Board Member with various companies. In addition, Birgit started and is the host of the CEO Blindspots® Podcast, where leaders learn from other leaders as they share their best practices and blind spots; ⁠⁠https://www.ceoblindspots.com/⁠⁠ To ask questions about this or one of the 200+ other CEO Blindspots® Podcast episodes, send an email to⁠⁠ ⁠birgit@ceoblindspots.com⁠

Peter Voss is a Pioneer in AI who coined the term ‘Artificial General Intelligence' and the CEO and Chief Scientist at Aigo.ai. For the past 15 years, Voss and his team at Aigo have been perfecting an industry disruptive, highly intelligent and hyper-personalized Chatbot, with a brain, for large enterprise customers. In this episode of the Product Science Podcast, we cover career opportunities in AI development, the potential of AI to be personal and an assistant, and how embracing a future with AI means focusing on critical thinking skills. Read the show notes to learn more: URL: www.h2rproductscience.com/post/the-peter-voss-hypothesis-we-will-soon-need-to-embrace-ai-to-be-effective-in-the-world

Innovative technologies can only be adopted in the smoothest and most rewarding manner if people work together. Tyler Durden of Mocaverse leads the charge in ushering in new levels of collaboration and community in the Web3 space. He shares with Eathan Janney and Josh Kriger how they are building an ecosystem NFT with more than 8,000 distinct Mocas, curating an amazing user experience for all through collective knowledge and partnerships. He breaks down three main themes of their strategy, the threefold identity of the Japanese market, and the impact of AI technology on Mocaverse as it intersects with Web3. For this episode's hot topic, they discuss how the NFT Aggregator market heats up as OpenSea Pro overtakes Blur.

David Brin is a scientist, speaker, technical consultant and world-known author. His novels have been New York Times Bestsellers, winning multiple Hugo, Nebula and other awards. At least a dozen have been translated into more than twenty languages.His 1989 ecological thriller, Earth, foreshadowed global warming, cyberwarfare and near-future trends such as the World Wide Web. His 2012 novel Existence extends this type of daring, near future extrapolation by exploring bio-engineering, intelligence and how to maintain an open-creative civilization. A 1998 movie, directed by Kevin Costner, was loosely based on The Postman.Brin serves on advisory committees dealing with subjects as diverse as national defense and homeland security, astronomy and space exploration, SETI and nanotechnology, future/prediction and philanthropy. He has served since 2010 on the council of external advisers for NASA's Innovative and Advanced Concepts group (NIAC), which supports the most inventive and potentially ground-breaking new endeavors.His non-fiction book — The Transparent Society: Will Technology Force Us to Choose Between Freedom and Privacy? — deals with secrecy in the modern world. It won the Freedom of Speech Prize from the American Library Association.

This episode is brought to you by 5-Bullet Friday, my very own email newsletter.Welcome to another episode of The Tim Ferriss Show, where it is my job to deconstruct world-class performers to tease out the routines, habits, et cetera that you can apply to your own life. This is a special inbetweenisode, which serves as a recap of the episodes from last month. It features a short clip from each conversation in one place so you can easily jump around to get a feel for the episode and guest.Based on your feedback, this format has been tweaked and improved since the first recap episode. For instance, @hypersundays on Twitter suggested that the bios for each guest can slow the momentum, so we moved all the bios to the end. See it as a teaser. Something to whet your appetite. If you like what you hear, you can of course find the full episodes at tim.blog/podcast. Please enjoy! *This episode is brought to you by 5-Bullet Friday, my very own email newsletter that every Friday features five bullet points highlighting cool things I've found that week, including apps, books, documentaries, gadgets, albums, articles, TV shows, new hacks or tricks, and—of course—all sorts of weird stuff I've dug up from around the world.It's free, it's always going to be free, and you can subscribe now at tim.blog/friday.*Timestamps:Dr. Andrew Huberman: 00:03:11Dr. Peter Attia: 00:13:59Matt Mochary: 00:17:13David Deutsch and Naval Ravikant: 00:22:11Michael Mauboussin: 00:28:17Dr. Kelly Starrett: 00:34:46Full episode titles:Dr. Andrew Huberman — The Foundations of Physical and Mental Performance, Core Supplements, Sexual Health and Fertility, Sleep Optimization, Psychedelics, and More (#660)Dr. Peter Attia — The Science and Art of Longevity, Optimizing Protein, Alcohol Rules, Lessons from Glucose Monitoring with CGMs, Boosting Your VO2 Max, Preventing Alzheimer's Disease, Early Cancer Detection, How to Use DEXA Scans, Nature's Longevity Drug, and More (#661)CEO Coach Matt Mochary — Live Coaching with Tim, Why Fear and Anger Give Bad Advice, How to Perform Personal Energy Audits, The Power of Accountability Partners, Delegation Tips, Strategies for Hiring the Right People, and More (#658)David Deutsch and Naval Ravikant — The Fabric of Reality, The Importance of Disobedience, The Inevitability of Artificial General Intelligence, Finding Good Problems, Redefining Wealth, Foundations of True Knowledge, Harnessing Optimism, Quantum Computing, and More (#662)Michael Mauboussin — How Great Investors Make Decisions, Harnessing The Wisdom (vs. Madness) of Crowds, Lessons from Race Horses, and More (#659)Dr. Kelly Starrett — The Magic of Movement and Mobility, Training for Range of Motion, Breathing for Back Pain, Improving Your Balance, and More (#664)*For show notes and past guests on The Tim Ferriss Show, please visit tim.blog/podcast.For deals from sponsors of The Tim Ferriss Show, please visit tim.blog/podcast-sponsorsSign up for Tim's email newsletter (5-Bullet Friday) at tim.blog/friday.For transcripts of episodes, go to tim.blog/transcripts.Discover Tim's books: tim.blog/books.Follow Tim:Twitter: twitter.com/tferriss Instagram: instagram.com/timferrissYouTube: youtube.com/timferrissFacebook: facebook.com/timferriss LinkedIn: linkedin.com/in/timferrissPast guests on The Tim Ferriss Show include Jerry Seinfeld, Hugh Jackman, Dr. Jane Goodall, LeBron James, Kevin Hart, Doris Kearns Goodwin, Jamie Foxx, Matthew McConaughey, Esther Perel, Elizabeth Gilbert, Terry Crews, Sia, Yuval Noah Harari, Malcolm Gladwell, Madeleine Albright, Cheryl Strayed, Jim Collins, Mary Karr, Maria Popova, Sam Harris, Michael Phelps, Bob Iger, Edward Norton, Arnold Schwarzenegger, Neil Strauss, Ken Burns, Maria Sharapova, Marc Andreessen, Neil Gaiman, Neil de Grasse Tyson, Jocko Willink, Daniel Ek, Kelly Slater, Dr. Peter Attia, Seth Godin, Howard Marks, Dr. Brené Brown, Eric Schmidt, Michael Lewis, Joe Gebbia, Michael Pollan, Dr. Jordan Peterson, Vince Vaughn, Brian Koppelman, Ramit Sethi, Dax Shepard, Tony Robbins, Jim Dethmer, Dan Harris, Ray Dalio, Naval Ravikant, Vitalik Buterin, Elizabeth Lesser, Amanda Palmer, Katie Haun, Sir Richard Branson, Chuck Palahniuk, Arianna Huffington, Reid Hoffman, Bill Burr, Whitney Cummings, Rick Rubin, Dr. Vivek Murthy, Darren Aronofsky, Margaret Atwood, Mark Zuckerberg, Peter Thiel, Dr. Gabor Maté, Anne Lamott, Sarah Silverman, Dr. Andrew Huberman, and many more.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Pausing AI Developments Isn't Enough. We Need to Shut it All Down by Eliezer Yudkowsky, published by jacquesthibs on March 29, 2023 on The Effective Altruism Forum. New article in Time Ideas by Eliezer Yudkowsky. Here's some selected quotes. In reference to the letter that just came out (discussion here): We are not going to bridge that gap in six months. It took more than 60 years between when the notion of Artificial Intelligence was first proposed and studied, and for us to reach today's capabilities. Solving safety of superhuman intelligence—not perfect safety, safety in the sense of “not killing literally everyone”—could very reasonably take at least half that long. And the thing about trying this with superhuman intelligence is that if you get that wrong on the first try, you do not get to learn from your mistakes, because you are dead. Humanity does not learn from the mistake and dust itself off and try again, as in other challenges we've overcome in our history, because we are all gone. Some of my friends have recently reported to me that when people outside the AI industry hear about extinction risk from Artificial General Intelligence for the first time, their reaction is “maybe we should not build AGI, then.” Hearing this gave me a tiny flash of hope, because it's a simpler, more sensible, and frankly saner reaction than I've been hearing over the last 20 years of trying to get anyone in the industry to take things seriously. Anyone talking that sanely deserves to hear how bad the situation actually is, and not be told that a six-month moratorium is going to fix it. Here's what would actually need to be done: The moratorium on new large training runs needs to be indefinite and worldwide. There can be no exceptions, including for governments or militaries. If the policy starts with the U.S., then China needs to see that the U.S. is not seeking an advantage but rather trying to prevent a horrifically dangerous technology which can have no true owner and which will kill everyone in the U.S. and in China and on Earth. If I had infinite freedom to write laws, I might carve out a single exception for AIs being trained solely to solve problems in biology and biotechnology, not trained on text from the internet, and not to the level where they start talking or planning; but if that was remotely complicating the issue I would immediately jettison that proposal and say to just shut it all down. Shut down all the large GPU clusters (the large computer farms where the most powerful AIs are refined). Shut down all the large training runs. Put a ceiling on how much computing power anyone is allowed to use in training an AI system, and move it downward over the coming years to compensate for more efficient training algorithms. No exceptions for anyone, including governments and militaries. Make immediate multinational agreements to prevent the prohibited activities from moving elsewhere. Track all GPUs sold. If intelligence says that a country outside the agreement is building a GPU cluster, be less scared of a shooting conflict between nations than of the moratorium being violated; be willing to destroy a rogue datacenter by airstrike. Frame nothing as a conflict between national interests, have it clear that anyone talking of arms races is a fool. That we all live or die as one, in this, is not a policy but a fact of nature. Make it explicit in international diplomacy that preventing AI extinction scenarios is considered a priority above preventing a full nuclear exchange, and that allied nuclear countries are willing to run some risk of nuclear exchange if that's what it takes to reduce the risk of large AI training runs. That's the kind of policy change that would cause my partner and I to hold each other, and say to each other that a miracle happened, and now there'...

Artificial Intelligence or AI is nothing new. However, the way it is used to write, create, and communicate is evolving before our very eyes. Chatbots are the buzzword for writers and content producers everywhere. Is it just a passing fad, or will it quickly become the centerpiece of how business gets done in marketing? Join “Can You Hear Me?” podcast co-hosts Rob Johnson and Eileen Rochford as they ask the question, “Is AI the future of content creation?”Recommended ReadsThe New York Times: How to Become an Expert on A.I. (Newsletter)Fortune: A Wharton professor gave A.I. tools 30 minutes to work on a business project. The results were ‘superhuman' The Economic Times:  How to use ChatGPT 4? Here is step by step guide to get access to OpenAI's most powerful offeringDigital Trends: Bing Chat: how to use Microsoft's own version of ChatGPTArsTechnica: OpenAI's GPT-4 exhibits “human-level performance” on professional benchmarksOne Useful Thing: Superhuman: What can AI do in 30 minutes?Axios: Chatbots trigger next misinformation nightmareGizmodo: Chat-GPT Pretended to Be Blind and Tricked a Human Into Solving a CAPTCHA 

GPT-4 is changing the game. Access is easier, outputs are better, and technologies connecting to it are increasing exponentially with the help of a new plugin system. What will the rest of this week bring us? OpenAI launches a plugin system for ChatGPT OpenAI just announced a plugin system for ChatGPT, enabling it to interact with the wider world through the internet. The plugins, developed by companies like Expedia, Instacart, and Slack, will allow users to perform a variety of tasks using these sites from right within ChatGPT.  It's not just companies wanting to embed AI into their sites. OpenAI itself is hosting three of the plugins: one that gives ChatGPT access to up-to-date information on the internet, a Python code interpreter, and a retrieval plugin that allows users to ask questions of documents, files, notes, emails, and public documentation. Of particular note, one of the plugins available integrates with Zapier, which itself integrates with thousands of other tools. Right now, there's a waitlist to access the plugins for developers and ChatGPT Plus users. Did we just open a whole new world of AI use cases? Artificial General Intelligence…one step closer  "OpenAI's mission is to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity.” We read this in episode 36 of The Marketing AI Show, just over a month ago. Now, OpenAI is saying, "Our mission is to ensure that artificial general intelligence—AI systems that are generally smarter than humans—benefits all of humanity." A team of Microsoft AI scientists claims that GPT-4, the latest iteration of OpenAI's Large Language Model, exhibits "sparks" of human-level intelligence, or artificial general intelligence (AGI). The researchers argue that GPT-4's impressive performance in a wide range of tasks, such as mathematics, coding, and even legal exams, indicates its potential as an early version of an AGI system.  While some argue that AGI is a pipe dream, others believe that it could usher in a new era for humanity, and this research indicates GPT-4 might just be leading the way. Are these thoughts and findings legit? How seriously should we take it? It only took 30 minutes to market a product launch Imagine leveraging the power of AI to complete a massive business project in just 30 minutes, accomplishing tasks that would take humans hours or even days.  In a remarkable experiment from Wharton professor Ethan Mollick, a combination of AI tools was used to market the launch of an educational game, conduct market research, create an email campaign, design a website, and craft a social media campaign, among other tasks—in just 30 minutes. The results demonstrated the unprecedented potential of AI as a multiplier of human effort, with vast implications for the future of work, productivity, and creativity. Over the course of half an hour, Mollick used no more than 20 inputs, actions, or prompts to generate 9,200 words of content, a working HTML/CSS file, 12 images, a voice file, and a movie file across a marketing positioning document, email campaign, website, logo, script and video, and social campaigns. As he put it “AI would do all the work, I would just offer directions.” Is this the new normal for marketers? Listen to this week's episode on your favorite podcast player, and be sure to explore the links below for more thoughts and perspectives on these important topics.

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: EAI Alignment Speaker Series #1: Challenges for Safe & Beneficial Brain-Like Artificial General Intelligence with Steve Byrnes, published by Curtis Huebner on March 23, 2023 on The AI Alignment Forum. A couple months ago EleutherAI started an alignment speaker series, some of these talks have been recorded. This is the first instalment in the series. The following is a transcript generated with the help of Conjecture's Verbalize and some light editing: Getting started 1 CURTIS00:00:22,775 --> 00:00:56,683Okay, I've started the recording. I think we can give it maybe a minute or two more and then I guess we can get started. I've also got the chat window as part of the recording. So if anyone has something they want to write out, feel free to put that in. Steve, you want to do questions throughout the talk, or should we wait till the end of the talk before we ask questions? 2 STEVE00:00:59,405 --> 00:01:09,452Let's do throughout, but I reserve the right to put people off if something seems tangential or something. 3 CURTIS00:01:10,200 --> 00:01:12,101Awesome. All right, cool. Let's go with that then. 10 STEVE00:02:02,246 --> 00:21:41,951 The talk All right. Thanks, everybody, for coming. This is going to be based on blog posts called Intro to Brain-Like AGI Safety. If you've read all of them, you'll find this kind of redundant, but you're still welcome to stay. My name is Steve Byrnes and I live in the Boston area. I'm employed remotely by Astera Institute, which is based in Berkeley. I'm going to talk about challenges for safe and beneficial brain-like Artificial General Intelligence for the next 35 minutes. Feel free to jump in with questions. Don't worry, I'm funded by an entirely different crypto billionaire. .That joke was very fresh when I wrote it three months ago. I need a new one now. Okay, so I'll start with—well, we don't have to talk about the outline. You'll see as we go. General motivation Start with general motivation. Again, I'm assuming that the audience has a range of backgrounds, and some of you will find parts of this talk redundant. The big question that I'm working on is: What happens when people figure out how to run brain-like algorithms on computer chips? I guess I should say “if and when”, but we can get back to that. And I find that when I bring this up to people, they they tend to have two sorts of reactions: One is that we should think of these future algorithms as “like tools for people to use”. And the other is that we should think of them as “like a new intelligent species on the planet”. So let's go through those one by one. Let's start with the tool perspective. This is the perspective that would be more familiar to AI people. If we put brain-like algorithms on computer chips, then that would be a form of artificial intelligence. And everybody knows that AI today is a tool for people to use. So on this perspective, the sub-problem I'm working on is accident prevention. We want to avoid the scenarios where the AI does something that nobody wanted it to do—not the people who programmed it, not anybody. So there is a technical problem to solve there, which is: If people figure out how to run brain-like algorithms on computer chips, and they want those algorithms to be trying to do X—where X is solar cell research or being honest or whatever you can think of—then what source code should they write? What training environment should they use? And so on. This is an unsolved problem. It turns out to be surprisingly tricky, for some pretty deep reasons that mostly are not going to be in the scope of this talk, but you can read the series. This slide is the bigger picture of that. So if we want our awesome post-AGI future, then we want to avoid, y'know, catastrophic accidents where the AI gets out of control and self-replicates around the Intern...

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Sparks of Artificial General Intelligence: Early experiments with GPT-4 | Microsoft Research, published by DragonGod on March 23, 2023 on LessWrong. Abstract Artificial intelligence (AI) researchers have been developing and refining large language models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks, challenging our understanding of learning and cognition. The latest model developed by OpenAI, GPT-4, was trained using an unprecedented scale of compute and data. In this paper, we report on our investigation of an early version of GPT-4, when it was still in active development by OpenAI. We contend that (this early version of) GPT-4 is part of a new cohort of LLMs (along with ChatGPT and Google's PaLM for example) that exhibit more general intelligence than previous AI models. We discuss the rising capabilities and implications of these models. We demonstrate that, beyond its mastery of language, GPT-4 can solve novel and difficult tasks that span mathematics, coding, vision, medicine, law, psychology and more, without needing any special prompting. Moreover, in all of these tasks, GPT-4's performance is strikingly close to human-level performance, and often vastly surpasses prior models such as ChatGPT. Given the breadth and depth of GPT-4's capabilities, we believe that it could reasonably be viewed as an early (yet still incomplete) version of an artificial general intelligence (AGI) system. In our exploration of GPT-4, we put special emphasis on discovering its limitations, and we discuss the challenges ahead for advancing towards deeper and more comprehensive versions of AGI, including the possible need for pursuing a new paradigm that moves beyond next-word prediction. We conclude with reflections on societal influences of the recent technological leap and future research directions. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

Brought to you by LinkedIn Jobs recruitment platform with 900M+ users, FreshBooks cloud-based small business accounting software, and Athletic Greens's AG1 all-in-one nutritional supplement. David Deutsch (@DavidDeutschOxf) is a visiting professor of physics at the Centre for Quantum Computation, a part of the Clarendon Laboratory at Oxford University, and an honorary fellow of Wolfson College, Oxford. He works on fundamental issues in physics, particularly the quantum theory of computation and information and especially constructor theory, which he is proposing as a new way of formulating laws of nature. He is the author of The Fabric of Reality and The Beginning of Infinity, and he is an advocate of the philosophy of Karl Popper. Naval Ravikant (@naval) is the co-founder of Airchat and AngelList. He has invested in more than 100 companies, including many mega-successes, such as Twitter, Uber, Notion, Opendoor, Postmates, and Wish. You can see his latest musings on Airchat, and subscribe to Naval, his podcast on wealth and happiness, on Apple Podcasts, Spotify, Overcast, or wherever you get your podcasts. You can also find his blog at nav.al.For more Naval-plus-Tim, check out my wildly popular interview with him from 2015 (nominated for “Podcast of the Year”) and our conversation from 2020. Naval also co-piloted the interviews with Ethereum creator Vitalik Buterin and famed investor Chris Dixon. Please enjoy!*This episode is brought to you by LinkedIn Jobs. Whether you are looking to hire now for a critical role or thinking about needs that you may have in the future, LinkedIn Jobs can help. LinkedIn screens candidates for the hard and soft skills you're looking for and puts your job in front of candidates looking for job opportunities that match what you have to offer.Using LinkedIn's active community of more than 900 million professionals worldwide, LinkedIn Jobs can help you find and hire the right person faster. When your business is ready to make that next hire, find the right person with LinkedIn Jobs. And now, you can post a job for free. Just visit LinkedIn.com/Tim.*This episode is also brought to you by FreshBooks. I've been talking about FreshBooks—an all-in-one invoicing + payments + accounting solution—for years now. Many entrepreneurs, as well as the contractors and freelancers that I work with, use it all the time.FreshBooks makes it super easy to track things like expenses, project time, and client info and then merge it all into great-looking invoices. And right now, there's a special offer just for my listeners. Head over to FreshBooks.com/Tim to get 90% off your FreshBooks subscription for 4 months.*This episode is also brought to you by Athletic Greens. I get asked all the time, “If you could use only one supplement, what would it be?” My answer is usually AG1 by Athletic Greens, my all-in-one nutritional insurance. I recommended it in The 4-Hour Body in 2010 and did not get paid to do so. I do my best with nutrient-dense meals, of course, but AG further covers my bases with vitamins, minerals, and whole-food-sourced micronutrients that support gut health and the immune system. Right now, Athletic Greens is offering you their Vitamin D Liquid Formula free with your first subscription purchase—a vital nutrient for a strong immune system and strong bones. Visit AthleticGreens.com/Tim to claim this special offer today and receive the free Vitamin D Liquid Formula (and 5 free travel packs) with your first subscription purchase! That's up to a one-year supply of Vitamin D as added value when you try their delicious and comprehensive all-in-one daily greens product.*[08:03] The impact The Fabric of Reality and The Beginning of Infinity have had on Naval.[10:07] The four strands.[13:04] Dispelling common misconceptions about science.[19:26] How does knowledge grow?[24:26] The benefits of understanding the four strands.[32:47] How quantum computing arose from trying to test a multiverse theory.[37:40] What a good explanation looks like.[42:43] How do conjecture and criticism give us a basis for optimism?[48:38] Translating knowledge into action.[51:20] Artificial intelligence (AI) vs. artificial general intelligence (AGI).[56:54] AGI is people! But how do we ensure it'll be good people?[1:03:03] What's taking AGI so long to get here?[1:08:59] Chemical scum that dream of distant quasars.[1:17:47] Are humans central to the universe, or just a sideshow?[1:20:17] Wealth and resources.[1:25:30] Recommended thinkers.[1:28:05] Taking Children Seriously, ToKCast, Critical Rationalists, and Popper 101.[1:31:55] David's most interesting problems right now.[1:39:24] Parting thoughts.*For show notes and past guests on The Tim Ferriss Show, please visit tim.blog/podcast.For deals from sponsors of The Tim Ferriss Show, please visit tim.blog/podcast-sponsorsSign up for Tim's email newsletter (5-Bullet Friday) at tim.blog/friday.For transcripts of episodes, go to tim.blog/transcripts.Discover Tim's books: tim.blog/books.Follow Tim:Twitter: twitter.com/tferriss Instagram: instagram.com/timferrissYouTube: youtube.com/timferrissFacebook: facebook.com/timferriss LinkedIn: linkedin.com/in/timferrissPast guests on The Tim Ferriss Show include Jerry Seinfeld, Hugh Jackman, Dr. Jane Goodall, LeBron James, Kevin Hart, Doris Kearns Goodwin, Jamie Foxx, Matthew McConaughey, Esther Perel, Elizabeth Gilbert, Terry Crews, Sia, Yuval Noah Harari, Malcolm Gladwell, Madeleine Albright, Cheryl Strayed, Jim Collins, Mary Karr, Maria Popova, Sam Harris, Michael Phelps, Bob Iger, Edward Norton, Arnold Schwarzenegger, Neil Strauss, Ken Burns, Maria Sharapova, Marc Andreessen, Neil Gaiman, Neil de Grasse Tyson, Jocko Willink, Daniel Ek, Kelly Slater, Dr. Peter Attia, Seth Godin, Howard Marks, Dr. Brené Brown, Eric Schmidt, Michael Lewis, Joe Gebbia, Michael Pollan, Dr. Jordan Peterson, Vince Vaughn, Brian Koppelman, Ramit Sethi, Dax Shepard, Tony Robbins, Jim Dethmer, Dan Harris, Ray Dalio, Naval Ravikant, Vitalik Buterin, Elizabeth Lesser, Amanda Palmer, Katie Haun, Sir Richard Branson, Chuck Palahniuk, Arianna Huffington, Reid Hoffman, Bill Burr, Whitney Cummings, Rick Rubin, Dr. Vivek Murthy, Darren Aronofsky, Margaret Atwood, Mark Zuckerberg, Peter Thiel, Dr. Gabor Maté, Anne Lamott, Sarah Silverman, Dr. Andrew Huberman, and many more.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

OpenAI's Chat GPT, an advanced chatbot, has taken the world by storm, amassing over 100 million monthly active users and exhibiting unprecedented capabilities. From crafting essays and fiction to designing websites and writing code. You'd be forgiven for thinking there's little it can't do. Now it's had an upgrade. GPT-4 has even more incredible abilities, it can take in photos as an input, and deliver smoother, more natural writing to the user. But it also hallucinates, throws up false answers, and remains unable to reference any world events that happened after September 2021.Seeking to get under the hood of the Large Language Model that operates GPT-4, host Alok Jha speaks with Maria Laikata, a professor in Natural Language Processing at Queen Mary's university in London. We put the technology through its paces with the economist's tech-guru Ludwig Seigele, and even run it through something like a Turing Test to give an idea of whether it could pass for human-level-intelligence. An Artificial General Intelligence is the ultimate goal of AI research, so how significant will GPT-4 and similar technologies be in the grand scheme of machine intelligence? Not very, suggests Gary Marcus, expert in both AI and human intelligence, though they will impact all of our lives both in good and bad ways. For full access to The Economist's print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience. Hosted on Acast. See acast.com/privacy for more information.

OpenAI's Chat GPT, an advanced chatbot, has taken the world by storm, amassing over 100 million monthly active users and exhibiting unprecedented capabilities. From crafting essays and fiction to designing websites and writing code. You'd be forgiven for thinking there's little it can't do. Now it's had an upgrade. GPT-4 has even more incredible abilities, it can take in photos as an input, and deliver smoother, more natural writing to the user. But it also hallucinates, throws up false answers, and remains unable to reference any world events that happened after September 2021.Seeking to get under the hood of the Large Language Model that operates GPT-4, host Alok Jha speaks with Maria Laikata, a professor in Natural Language Processing at Queen Mary's university in London. We put the technology through its paces with the economist's tech-guru Ludwig Seigele, and even run it through something like a Turing Test to give an idea of whether it could pass for human-level-intelligence. An Artificial General Intelligence is the ultimate goal of AI research, so how significant will GPT-4 and similar technologies be in the grand scheme of machine intelligence? Not very, suggests Gary Marcus, expert in both AI and human intelligence, though they will impact all of our lives both in good and bad ways. For full access to The Economist's print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience. Hosted on Acast. See acast.com/privacy for more information.

The conversation this week is with Dr. Antonio Di Fenza. Antonio has a Master of Arts and a Ph.D. in Romantic Languages, Literature, and Linguistics from Cornell University. He has envisioned and written a project of a chatbot trained on philosophers and poets that is capable of meaningful interactions. Additionally, he is currently a futurist providing inspiration, suggestions, and solutions for the period of humanity's transition to the time when it will coexist with super intelligence. If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!Emerging Technologies NorthAppliedAI MeetupResources and Topics Mentioned in this EpisodeDr. Antonio Di Fenza on LinkedInThe Singularity Is Nearer by Ray KurzweilThe Art of Impossible by Steven KotlerLife 3.0: Being Human in the Age of Artificial Intelligence by Max TegmarkArtificial general intelligenceThe Millennium ProjectCodePilot.ai4 Optimistic Takes on the Future of AI by Alberto RomeroEnjoy!Your host,Justin Grammens

Timestamps:(00:00:00) - Intro(00:01:47) - Live Meme Of The Week(00:05:43) - Naming Your Brand: Company vs Individual(00:22:58) - Tech Layoffs(00:35:07) - AI + Jobs(00:44:42) - Newsletter + Twitter Growth 2023(00:59:03) - Michael Saylor Reaction(01:05:29) - Advice To 20yr Old Self(01:17:36) - Who would you like to have dinner with?(01:22:39) - Artificial General Intelligence(01:27:45) - Amazon, Moon or Mariana TrenchWhat Is Not Investment Advice?Every week, Jack Butcher, Bilal Zaidi & Trung Phan discuss what they're finding on the edges of the internet + the latest in business, technology, and memes.Watch + Subscribe on YouTube:https://youtu.be/nHtjGYZcsh8Join our group chat on Telegram:https://t.me/notinvestmentadviceLet us know what you think on Twitter:@bzaidi@trungtphan@jackbutcher@niapodcastLinks Mentioned:Jack's permissionless apprentice: https://visualizevalue.com/products/the-permissionless-apprenticeTrung's AI tool: https://bearly.ai/Ben Tossell & Bilal talking AI on Creator Lab: - https://open.spotify.com/episode/46xHLcLF2Y6FzhnSPXtCai?si=1e12e24c0f7a4df6Bilal's Spotify interview (written): https://podcasters.spotify.com/blog/bilal-zaidi-podcast-guests Hosted on Acast. See acast.com/privacy for more information.

With ChatGPT in the news, I thought it was high time we take a look at OpenAI -- the company behind the controversial chatbot. From its founding in 2015 to its shift to a "capped-profit" company, we look at the organization founded with the goal of creating AI that's beneficial for humanity.See omnystudio.com/listener for privacy information.

In this week's conversation between Dr. James Emery White and co-host Alexis Drye, they discuss how Christians and non-Christians alike don't know what to make of the growing presence in our lives of Artificial Intelligence (AI) in all of its manifestations - from our digital assistants like Siri and Alexa to Artificial General Intelligence (AGI) which is AI reaching levels of human intelligence and beyond. This is an interesting discussion about how we can think Christianly about our ever-changing technological landscape. Episode Links Today's conversation started off with Dr. White mentioning a book written by Max Tegmark called Life 3.0: Being Human in the Age of Artificial Intelligence. It's a fascinating (and at times frightening) read about AI, its origins and where it's headed. You can find that resource HERE on Amazon. In 2018, Dr. White wrote a blog about this topic as it relates to potential impacts for Christians and the Church titled, “Start Thinking about AI.” And for more on that, you'll also find AI discussed in his forthcoming book Hybrid Church: Rethinking the Church for a Post-Christian Digital Age, which is available for pre-order HERE on Amazon or through your favorite bookseller. Finally, Dr. White mentioned two additional resources during the conversation. The first was a Christianity Today piece written by Christopher Reese titled, “Rise of the Machines: New Book Applies Christian Ethics to the Future of AI.” This article highlights the future of AI as it will need to begin making ethical or moral decisions for us. The second is a book written by Oxford professor John Lennox called 2084: Artificial Intelligence and the Future of Humanity that you can find HERE on Amazon. For those of you who are new to Church & Culture, we'd love to invite you to subscribe (for free of course) to the twice-weekly Church & Culture blog and check out the Daily Headline News - a collection of headlines from around the globe each weekday.

Want to go deep into Intelligent Systems, meet Peter Voss, Founder and CEO of Aigo.ai.  Peter coined the term ‘Artificial General Intelligence' and is perfecting the hyper-personalized Chatbot, WITH a brain.01:56 Meet Peter Voss08:23 Passion for Intelligent Systems12:54 Why only Aigo16:31 ChatGPT? A Different View22:03 A Use Case by Example30:53 What is Included, What is Not34:08 Who are your Clients36:10 The Engagement38:57 The Business Case41:59 AI that Reasons44:26 The Definition of AGI46:51 For FunLinkedIn: linkedin.com/in/vosspeterTwitter: @peterevossWebsite: aigo.ai/Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Stephen Wolfram answers general questions from his viewers about science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qa Questions include: Should an International agreement be created so that Artificial General Intelligence has rights before AGIs exist so that they feel their rights are respected? - How do we know you are Stephen Wolfram the human and not an AI generating an artificial Stephen Wolfram? How could we perform the Turing test for this livestream? - ​Are you hopeful for brain/computer interfacing in the near future?

Visit thedigitalslicepodcast.com for complete show notes of every podcast episode. Join Brad Friedman and Peter Voss as they chat about Artificial General Intelligence and the development of Conversational AI and a hyper-personalized Chatbot you may have already unknowingly spoken with (Wait until you hear who some of his clients are!). Peter is a Pioneer in AI who coined the term ‘Artificial General Intelligence' and the CEO and Chief Scientist at Aigo.ai. For the past 15 years, Voss and his team at Aigo have been perfecting an industry-disruptive, highly intelligent, and hyper-personalized Chatbot, with a brain, for large enterprise customers that may also be used by small business owners and individuals alike.

Canadian Excellence Research Chair in Autonomous AI. Irina holds an MSc and PhD in AI from the University of California, Irvine as well as an MSc in Applied Mathematics from the Moscow Gubkin Institute. Her research focuses on machine learning, neural data analysis, and neuroscience-inspired AI. In particular, she is exploring continual lifelong learning, optimization algorithms for deep neural networks, sparse modelling and probabilistic inference, dialog generation, biologically plausible reinforcement learning, and dynamical systems approaches to brain imaging analysis. Prof. Rish holds 64 patents, has published over 80 research papers, several book chapters, three edited books, and a monograph on Sparse Modelling. She has served as a Senior Area Chair for NeurIPS and ICML. Irina's research is focussed on taking us closer to the holy grail of Artificial General Intelligence. She continues to push the boundaries of machine learning, continually striving to make advancements in neuroscience-inspired AI. In a conversation about artificial intelligence (AI), Irina and Tim discussed the idea of transhumanism and the potential for AI to improve human flourishing. Irina suggested that instead of looking at AI as something to be controlled and regulated, people should view it as a tool to augment human capabilities. She argued that attempting to create an AI that is smarter than humans is not the best approach, and that a hybrid of human and AI intelligence is much more beneficial. As an example, she mentioned how technology can be used as an extension of the human mind, to track mental states and improve self-understanding. Ultimately, Irina concluded that transhumanism is about having a symbiotic relationship with technology, which can have a positive effect on both parties. Tim then discussed the contrasting types of intelligence and how this could lead to something interesting emerging from the combination. He brought up the Trolley Problem and how difficult moral quandaries could be programmed into an AI. Irina then referenced The Garden of Forking Paths, a story which explores the idea of how different paths in life can be taken and how decisions from the past can have an effect on the present. To better understand AI and intelligence, Irina suggested looking at it from multiple perspectives and understanding the importance of complex systems science in programming and understanding dynamical systems. She discussed the work of Michael Levin, who is looking into reprogramming biological computers with chemical interventions, and Tim mentioned Alex Mordvinsev, who is looking into the self-healing and repair of these systems. Ultimately, Irina argued that the key to understanding AI and intelligence is to recognize the complexity of the systems and to create hybrid models of human and AI intelligence. Find Irina; https://mila.quebec/en/person/irina-rish/ https://twitter.com/irinarish YT version: https://youtu.be/8-ilcF0R7mI MLST Discord: https://discord.gg/aNPkGUQtc5 References; The Garden of Forking Paths: Jorge Luis Borges [Jorge Luis Borges] https://www.amazon.co.uk/Garden-Forking-Paths-Penguin-Modern/dp/0241339057 The Brain from Inside Out [György Buzsáki] https://www.amazon.co.uk/Brain-Inside-Out-Gy%C3%B6rgy-Buzs%C3%A1ki/dp/0190905387 Growing Isotropic Neural Cellular Automata [Alexander Mordvintsev] https://arxiv.org/abs/2205.01681 The Extended Mind [Andy Clark and David Chalmers] https://www.jstor.org/stable/3328150 The Gentle Seduction [Marc Stiegler] https://www.amazon.co.uk/Gentle-Seduction-Marc-Stiegler/dp/0671698877

Malcolm Clemens Young                                                                        Grace Cathedral, San Francisco, CA 2C51                                            2 Advent (Year A) 8:30 a.m. and 11:00 a.m. Eucharist                    Sunday 4 December 2022                                                                       Isaiah 11:1-10 Psalm 72:1-7, 18-19 Romans 15:4-13 Matthew 3:1-12 Are There Reasons to Have Hope? An Introduction to the Gospel of Matthew “Whatever was written in former days was written for our instruction, so that… by the encouragement of the scriptures we might have hope” (Rom. 15). Let me speak frankly. I see you might be the, “sort of person who, on principle, no longer expects anything of anything. There are plenty, younger than you or less young, who live in the expectation of extraordinary experiences: from sermons, from people, from journeys, from events, from what tomorrow has in store.” “But not you. You know that the best you can expect is to avoid the worst. This is the conclusion you have reached, in your personal life and also in general matters, even international affairs. What about [sermons]? Well, precisely because you have denied it in every other field, you believe you may still grant yourself legitimately this youthful pleasure of expectation in a carefully circumscribed area like the field of [sermons], where you can be lucky or unlucky, but the risk of disappointment isn't serious.”[1] The twentieth century novelist Italo Calvino (1923-1985) wrote these words about books and I begin here because it is human nature to be wary about hoping too much. We have been disappointed enough in the past to wonder, are there reasons to have hope? I have been reading several recently published books by authors who do not believe in God. I'm grateful to have this chance to walk with them and to try to see the world from their perspectives. Last week I finished reading Kieran Setiya's book Life Is Hard: How Philosophy Can Help Us Find Our Way. His last chapter describes hope as, “wishful thinking.” He goes on to say, “In the end, it seems, there is no hope: the lights go out.” And later in a slightly more positive vein he says, “We can hope that life has meaning: a slow, unsteady march towards a more just future.”[2] The other book is William MacAskill's What We Owe the Future about how we might try to prevent the collapse of human culture from threats like nuclear war, engineered pathogens, and runaway Artificial General Intelligence. He points out the massive amount of suffering among human beings and animals. He uses a scale from -100 to +100 to measure the lifetime suffering or happiness of an abstract person and wonders if, because of the total amount of suffering, life is even worth living. By the way the question “does life have meaning,” is not something that we see in ancient writings or even in the medieval or early modern period. The phrase, “the meaning of life” originates only 1834.[3] Before that time it did not occur to ask this question perhaps because most people assumed that we live in a world guided by its creator. Although these books might seem so different they share a common spirit. First, you may not know what to expect but it will be a human thing. There is no help for us beyond ourselves. Second, they exaggerate the extent to which human beings can comprehend and control the world. Third, they fail to recognize that there are different stories for understanding our place in the universe and that these have a huge influence on our fulfillment. Well-being is in part subjective: we have to decide whether to accept our life as an accident, or to accept it as a gift. Finally, these authors lack a sense that human beings have special dignity or that we might experience God as present with us. In my Forum conversation with Cornel West the other week he mentioned how much he loved Hans-Georg Gadamer's book Truth and Method. It's about the importance of interpretation in human consciousness and begins with a poem from the twentieth century Austrian writer Rainer Maria Rilke (1875-1926). “Catch only what you've thrown yourself, all is mere skill and little gain; / but when you're suddenly the catcher of a ball / thrown by an eternal partner / with accurate and measured swing / towards you, to your center, in an arch / from the great bridgebuilding of God: / why catching then becomes a power - / not yours, a world's.”[4] How do we catch the world God is offering to us? This morning I am going to discuss an interpretation of the Book of Matthew by my friend the biblical scholar Herman Waetjen. I am not trying to communicate facts to you or to explain something. I long to open a door so that you might experience the truth of hope, the recognition that at the heart of all reality lies the love of God. Today is the second Sunday in the church calendar. Over the next twelve months during worship we will be reading through the Gospel of Matthew. Scholars say that 600 of the 1071 verses in it, along with half of its vocabulary come from the Gospel of Mark. An additional 225 verses come from a saying source and other oral traditions.[5] And yet this Gospel is utterly original. Although the first hearers are highly urban people living in the regional capital of Antioch, really Matthew speaks directly to us. In the year 70 CE a catastrophic event threatened to obliterate the entire religion of the Jews. Roman forces crushed an uprising in Jerusalem destroying God's earthly residence, the temple, and many of the rituals and traditions that defined the Jewish religion. Without the temple a new way of being religious had to be constructed. Let me tell you about three alternative visions for the faith from that time. First there was the way of the Pharisees led by Yohanan ben Zakkai (50-80 CE). Legend held that he had been secreted out of Jerusalem during the destruction in a coffin. HE then made an arrangement with Roman authorities to remain subject to them but with limited powers of self-government. Zakkai asserted that the study of Torah was as sacred as the Temple sacrifices. “He substituted chesed (kindness or love) in place of the demolished temple.”[6] God can be at the center of people's lives through “a reconciliation that is realizable through deeds of mercy that are fulfilled by observing the law.”[7] Waetjen asserts that the Gospel of Matthew criticizes this vision because it leads to a distinction between righteous (moral) people who are clean and sinful outsiders. A second solution to this religious crisis comes from apocalyptic literature about the end of the world, especially the Second Book of Baruch. This author writes about the Babylonian destruction of the Jewish Temple in 487 BCE. In his vision an angel descends to the Temple, removes all the holy things and says, “He who guarded the house has left it” (2 Baruch 8:2). The keys are thrown away almost as if it was de-sanctified. According to this view,“in the present the temple has no significance.” But in the future it will be renewed in glory through the power of God. So the people wait for God's return. Although Matthew is aware of both these answers to the religious crisis he chooses a third way beyond a division between clean and unclean people, or simply waiting for a new Temple. Matthew writes that Jesus as Son of David comes out of a particular people, with its history, etc., but Jesus is also a new creation which Waetjen translates as the Son of the Human Being.[8] We see this dual anthropology in the Hebrew bible with its division of soul/self (or nephesh) and flesh (basar). In Greek this is soul/self (psyche) and body (soma). Jesus says, “Do not continue to fear those who kill the body (soma) but cannot kill the soul; but rather continue to fear the one who is able to destroy both soul and body in Gehenna” (Mt. 10:28). In a physical body Jesus is born in Bethlehem as part of the Jewish community where he teaches and heals those who come to him. Jesus also exists also as soul, as the divine breath that gives all creatures life, as the first human being of the new creation, as one who shows God's love for every person. He teaches that at the heart of all things lies forgiveness and grace. There are no people defined by their righteousness or sinfulness. At the deepest level of our existence we are connected to each other and to God. The novelist Marilynne Robinson writes about how in modern times some people claim that science shows that there are no non-material things, that we do not have a soul. In contrast she writes about our shared intuition that the soul's “non-physicality is no proof of its non-existence… [It is] the sacred and sanctifying aspect of human being. It is the self that stands apart from the self. It suffers injuries of a moral kind, when the self it is and is not lies or steals or murders but it is untouched by the accidents that maim the self or kill it.” She concludes writing, “I find the soul a valuable concept, a statement of the dignity of a human life and of the unutterable gravity of human action and experience.”[9] Can we have hope? Does life have meaning? Let me speak frankly. I see you might be the “sort of person who, on principle, no longer expects anything of anything.” But you have a soul. God is closer to us than we are to ourselves. At the heart of all reality exists the love of God. The more thankful we are, the more we receive the gift of hope. My last words come from a poem by Mary Oliver called “The Gift.” “Be still, my soul, and steadfast. / Earth and heaven both are still watching / though time is draining from the clock / and your walk, that was confident and quick, / has become slow.// So, be slow if you must, but let / the heart still play its true part. / Love still as you once loved, deeply / and without patience. Let God and the world / know you are grateful. That the gift has been given.”[10] [1] Italo Calvino, If on a Winter's Night a Traveller tr. William Weaver (London: Vintage Classics, 1981) 4. [2] Kieran Setiya, Life Is Hard: How Philosophy Can Help Us Find Our Way (NY: Riverhead Books, 2022) 173, 179, 180. [3] “The meaning of life” first appears in Thomas Carlyle's novel Sartor Resartus. Ibid., 153. [4] Rainer Maria Rilke, “Catch only what you've thrown yourself” in Hans-Georg Gadamer, Truth and Method, 2nd Revised Edition tr. Joel Weinsheimer and Donald G. Marshall (NY: Crossroad, 1992). [5] Herman Waetjen, Matthew's Theology of Fulfillment, Its Universality and Its Ethnicity: God's New Israel as the Pioneer of God's New Humanity (NY: Bloomsbury T&T Clark, 2017) 1-17. See also, https://www.biblememorygoal.com/how-many-chapters-verses-in-the-bible/ [6] https://en.wikipedia.org/wiki/Chesed [7] Ibid., 2. [8] Ibid., 7. [9] Marilynne Robinson, The Givenness of Things: Essays (NY: Picador, 2015) 8-9. [10] https://wildandpreciouslife0.wordpress.com/2016/09/27/the-gift-by-mary-oliver/

In this edition of Policy Talk, Brett King - founder of The Futurists Network, bestselling author & entrepreneur - spoke to Yatish Rajawat - founder of Centre for Innovation in Public Policy - about the role of artificial general intelligence

Filmmaker Jay Shapiro has produced a new series of audio documentaries, exploring the major topics that Sam has focused on over the course of his career. Each episode weaves together original analysis, critical perspective, and novel thought experiments with some of the most compelling exchanges from the Making Sense archive. Whether you are new to a particular topic, or think you have your mind made up about it, we think you'll find this series fascinating. In this episode, we explore the landscape of Artificial Intelligence. We'll listen in on Sam's conversation with decision theorist and artificial-intelligence researcher Eliezer Yudkowsky, as we consider the potential dangers of AI – including the control problem and the value-alignment problem – as well as the concepts of Artificial General Intelligence, Narrow Artificial Intelligence, and Artificial Super Intelligence. We'll then be introduced to philosopher Nick Bostrom's “Genies, Sovereigns, Oracles, and Tools,” as physicist Max Tegmark outlines just how careful we need to be as we travel down the AI path. Computer scientist Stuart Russell will then dig deeper into the value-alignment problem and explain its importance.   We'll hear from former Google CEO Eric Schmidt about the geopolitical realities of AI terrorism and weaponization. We'll then touch the topic of consciousness as Sam and psychologist Paul Bloom turn the conversation to the ethical and psychological complexities of living alongside humanlike AI. Psychologist Alison Gopnik then reframes the general concept of intelligence to help us wonder if the kinds of systems we're building using “Deep Learning” are really marching us towards our super-intelligent overlords.   Finally, physicist David Deutsch will argue that many value-alignment fears about AI are based on a fundamental misunderstanding about how knowledge actually grows in this universe.  

This week on the 34th Episode of the MilCyberSync Podcast: TikTok Weaponization, NSA and CISA release a new product, U.S. Spacecom's new Joint Task Force, plus Artificial General Intelligence, and more! 

Cognitive AGI and robotics In this weeks episode of The Futurists, cognitive scientist and AI researcher Ben Goertzel joins the hosts to talk the likely path to Artificial General Intelligence. Goertzel is the founder of SingularityNet, Chairman at OpenCog Foundation, and previously as the Chief Scientist at Hanson Robotics he helped create Sophia the robot. Goertzel is on a different level, get ready to step up. Welcome to the Futurists where your hosts Brett King and Robert Tercek interview the worlds foremost super-forecasters, thought leaders, technologists, entrepreneurs and futurists building the world of tomorrow. Together we will explore how our world will radically change as AI, bioscience, energy, food and agriculture, computing, the metaverse, the space industry, crypto, resource management, supply chain and climate will reshape our world over the next 100 years. Join us on The Futurists and we will see you in the future! Brett King, Bestselling Author, Founder, Radio Host https://thefuturists.com

In this weeks episode of The Futurists, cognitive scientist and AI researcher Ben Goertzel joins the hosts to talk the likely path to Artificial General Intelligence. Goertzel is the founder of SingularityNet, Chairman at OpenCog Foundation, and previously as the Chief Scientist at Hanson Robotics he helped create Sophia the robot. Goertzel is on a different level, get ready to step up.

Leonard S. Johnson is the Founder and CEO of AIEDC, a 5G Cloud Mobile App Maker and Service Provider with Machine Learning to help small and midsize businesses create their own iOS and Android mobile apps with no-code or low-code so they can engage and service their customer base, as well as provide front and back office digitization services for small businesses. Victoria talks to Leonard about using artificial intelligence for good, bringing the power of AI to local economics, and truly democratizing AI. The Artificial Intelligence Economic Development Corporation (AIEDC) (https://netcapital.com/companies/aiedc) Follow AIEDC on Twitter (https://twitter.com/netcapital), Instagram (https://www.instagram.com/netcapital/), Facebook (https://www.facebook.com/Netcapital/), or LinkedIn (https://www.linkedin.com/company/aiedc/). Follow Leonard on Twitter (https://twitter.com/LeonardSJ) and LinkedIn (https://www.linkedin.com/in/leonardsjohnson84047/). Follow thoughtbot on Twitter (https://twitter.com/thoughtbot) or LinkedIn (https://www.linkedin.com/company/150727/). Become a Sponsor (https://thoughtbot.com/sponsorship) of Giant Robots! Transcript: VICTORIA: This is The Giant Robots Smashing Into Other Giant Robots Podcast, where we explore the design, development, and business of great products. I'm your host, Victoria Guido. And with us today is Leonard S. Johnson or LS, Founder and CEO AIEDC, a 5G Cloud Mobile App Maker and Service Provider with Machine Learning to help small and midsize businesses create their own iOS and Android mobile apps with no-code or low-code so they can engage and service their customer base, as well as provide front and back office digitization services for small businesses. Leonard, thanks for being with us today. LEONARD: Thank you for having me, Victoria. VICTORIA: I should say LS, thank you for being with us today. LEONARD: It's okay. It's fine. VICTORIA: Great. So tell us a little more about AIEDC. LEONARD: Well, AIEDC stands for Artificial Intelligence Economic Development Corporation. And the original premise that I founded it for...I founded it after completing my postgraduate work at Stanford, and that was 2016. And it was to use AI for economic development, and therefore use AI for good versus just hearing about artificial intelligence and some of the different movies that either take over the world, and Skynet, and watch data privacy, and these other things which are true, and it's very evident, they exist, and they're out there. But at the end of the day, I've always looked at life as a growth strategy and the improvement of what we could do and focusing on what we could do practically. You do it tactically, then you do it strategically over time, and you're able to implement things. That's why I think we keep building collectively as humanity, no matter what part of the world you're in. VICTORIA: Right. So you went to Stanford, and you're from South Central LA. And what about that background led you to pursue AI for good in particular? LEONARD: So growing up in the inner city of Los Angeles, you know, that South Central area, Compton area, it taught me a lot. And then after that, after I completed high school...and not in South Central because I moved around a lot. I grew up with a single mother, never knew my real father, and then my home life with my single mother wasn't good because of just circumstances all the time. And so I just started understanding that even as a young kid, you put your brain...you utilize something because you had two choices. It's very simple or binary, you know, A or B. A, you do something with yourself, or B, you go out and be social in a certain neighborhood. And I'm African American, so high probability that you'll end up dead, or in a gang, or in crime because that's what it was at that time. It's just that's just a situation. Or you're able to challenge those energies and put them toward a use that's productive and positive for yourself, and that's what I did, which is utilizing a way to learn. I could always pick up things when I was very young. And a lot of teachers, my younger teachers, were like, "You're very, very bright," or "You're very smart." And there weren't many programs because I'm older than 42. So there weren't as many programs as there are today. So I really like all of the programs. So I want to clarify the context. Today there's a lot more engagement and identification of kids that might be sharper, smarter, whatever their personal issues are, good or bad. And it's a way to sort of separate them. So you're not just teaching the whole group as a whole and putting them all in one basket, but back then, there was not. And so I just used to go home a lot, do a lot of reading, do a lot of studying, and just knick-knack with things in tech. And then I just started understanding that even as a young kid in the inner city, you see economics very early, but they don't understand that's really what they're studying. They see economics. They can see inflation because making two ends meet is very difficult. They may see gang violence and drugs or whatever it might end up being. And a lot of that, in my opinion, is always an underlining economic foundation. And so people would say, "Oh, why is this industry like this?" And so forth. "Why does this keep happening?" It's because they can't function. And sometimes, it's just them and their family, but they can't function because it's an economic system. So I started focusing on that and then went into the Marine Corps. And then, after the Marine Corps, I went to Europe. I lived in Europe for a while to do my undergrad studies in the Netherlands in Holland. VICTORIA: So having that experience of taking a challenge or taking these forces around you and turning into a force for good, that's led you to bring the power of AI to local economics. And is that the direction that you went eventually? LEONARD: So economics was always something that I understood and had a fascination prior to even starting my company. I started in 2017. And we're crowdfunding now, and I can get into that later. But I self-funded it since 2017 to...I think I only started crowdfunding when COVID hit, which was 2020, and just to get awareness and people out there because I couldn't go to a lot of events. So I'm like, okay, how can I get exposure? But yeah, it was a matter of looking at it from that standpoint of economics always factored into me, even when I was in the military when I was in the Marine Corps. I would see that...we would go to different countries, and you could just see the difference of how they lived and survived. And another side note, my son's mother is from Ethiopia, Africa. And I have a good relationship with my son and his mother, even though we've been apart for over 15 years, divorced for over 15 years or so or longer. But trying to keep that, you can just see this dichotomy. You go out to these different countries, and even in the military, it's just so extreme from the U.S. and any part of the U.S, but that then always focused on economics. And then technology, I just always kept up with, like, back in the '80s when the mobile brick phone came out, I had to figure out how to get one. [laughs] And then I took it apart and then put it back together just to see how it works, so yeah. But it was a huge one, by the way. I mean, it was like someone got another and broke it, and they thought it was broken. And they're like, "This doesn't work. You could take this piece of junk." I'm like, "Okay." [laughs] VICTORIA: Like, oh, great. I sure will, yeah. Now, I love technology. And I think a lot of people perceive artificial intelligence as being this super futuristic, potentially harmful, maybe economic negative impact. So what, from your perspective, can AI do for local economics or for people who may not have access to that advanced technology? LEONARD: Well, that's the key, and that's what we're looking to do with AIEDC. When you look at the small and midsize businesses, it's not what people think, or their perception is. A lot of those in the U.S. it's the backbone of the United States, our economy, literally. And in other parts of the world, it's the same where it could be a one or two mom-and-pop shops. That's where that name comes from; it's literally two people. And they're trying to start something to build their own life over time because they're using their labor to maybe build wealth or somehow a little bit not. And when I mean wealth, it's always relative. It's enough to sustain themselves or just put food on the table and be able to control their own destiny to the best of their ability. And so what we're looking to do is make a mobile app maker that's 5G that lives in the cloud, that's 5G compliant, that will allow small and midsize businesses to create their own iOS or Android mobile app with no-code or low-code, basically like creating an email. That's how simple we want it to be. When you create your own email, whether you use Microsoft, Google, or whatever you do, and you make it that simple. And there's a simple version, and there could be complexity added to it if they want. That would be the back office digitization or customization, but that then gets them on board with digitization. It's intriguing that McKinsey just came out with a report stating that in 2023, in order to be economically viable, and this was very recent, that all companies would need to have a digitization strategy. And so when you look at small businesses, and you look at things like COVID-19, or the COVID current ongoing issue and that disruption, this is global. And you look at even the Ukrainian War or the Russian-Ukrainian War, however you term it, invasion, war, special operation, these are disruptions. And then, on top of that, we look at climate change which has been accelerating in the last two years more so than it was prior to this that we've experienced. So this is something that everyone can see is self-evident. I'm not even focused on the cause of the problem. My brain and the way I think, and my team, we like to focus on solutions. My chairman is a former program director of NASA who managed 1,200 engineers that built the International Space Station; what was it? 20-30 years ago, however, that is. And he helped lead and build that from Johnson Center. And so you're focused on solutions because if you're building the International Space Station, you can only focus on solutions and anticipate the problems but not dwell on them. And so that kind of mindset is what I am, and it's looking to help small businesses do that to get them on board with digitization and then in customization. And then beyond that, use our system, which is called M.I.N.D. So we own these...we own patents, three patents, trademarks, and service marks related to artificial intelligence that are in the field of economics. And we will utilize DEVS...we plan to do that which is a suite of system specifications to predict regional economic issues like the weather in a proactive way, not reactive. A lot of economic situations are reactive. It's reactive to the Federal Reserve raising interest rates or lowering rates, Wall Street, you know, moving money or not moving money. It is what it is. I mean, I don't judge it. I think it's like financial engineering, and that's fine. It's profitability. But then, at the end of the day, if you're building something, it's like when we're going to go to space. When rockets launch, they have to do what they're intended to do. Like, I know that Blue Origin just blew up recently. Or if they don't, they have a default, and at least I heard that the Blue Origin satellite, if it were carrying passengers, the passengers would have been safe because it disembarked when it detected its own problem. So when you anticipate these kinds of problems and you apply them to the local small business person, you can help them forecast and predict better like what weather prediction has done. And we're always improving that collectively for weather prediction, especially with climate change, so that it can get to near real-time as soon as possible or close a window versus two weeks out versus two days out as an example. VICTORIA: Right. Those examples of what you call a narrow economic prediction. LEONARD: Correct. It is intriguing when you say narrow economic because it wouldn't be narrow AI. But it would actually get into AGI if you added more variables, which we would. The more variables you added in tenancies...so if you're looking at events, the system events discretion so discrete event system specification you would specify what they really, really need to do to have those variables. But at some point, you're working on a system, what I would call AGI. But AGI, in my mind, the circles I run in at least or at least most of the scientists I talk to it's not artificial superintelligence. And so the general public thinks AGI...and I've said this to Stephen Ibaraki, who's the founder of AI for Good at Global Summit at the United Nations, and one of his interviews as well. It's just Artificial General Intelligence, I think, has been put out a lot by Hollywood and entertainment and so forth, and some scientists say certain things. We won't be at artificial superintelligence. We might get to Artificial General Intelligence by 2030 easily, in my opinion. But that will be narrow AI, but it will cover what we look at it in the field as cross-domain, teaching a system to look at different variables because right now, it's really narrow. Like natural language processing, it's just going to look at language and infer from there, and then you've got backward propagation that's credit assignment and fraud and detection. Those are narrow data points. But when you start looking at something cross-domain...who am I thinking of? Pedro Domingos who wrote the Master Algorithm, which actually, Xi Jinping has a copy of, the President of China, on his bookshelf in his office because they've talked about that, and these great minds because Stephen Ibaraki has interviewed these...and the founder of Google Brain and all of these guys. And so there's always this debate in the scientific community of what is narrow AI what it's not. But at the end of the day, I just like Pedro's definition of it because he says the master algorithm will be combining all five, so you're really crossing domains, which AI hasn't done that. And to me, that will be AGI, but that's not artificial superintelligence. And artificial superintelligence is when it becomes very, you know, like some of the movies could say, if we as humanity just let it run wild, it could be crazy. VICTORIA: One of my questions is the future of AI more like iRobot or Bicentennial Man? LEONARD: Well, you know, interesting. That's a great question, Victoria. I see most of AI literally as iRobot, as a tool more than anything, except at the end when it implied...so it kind of did two things in that movie, but a wonderful movie to bring up. And I like Will Smith perfectly. Well, I liked him a lot more before -- VICTORIA: I think iRobot is really the better movie. LEONARD: Yeah, so if people haven't seen iRobot, I liked Will Smith, the actor. But iRobot showed you two things, and it showed you, one, it showed hope. Literally, the robot...because a lot of people put AI and robots. And AI by itself is the brain or the mind; I should say hardware are the robots or the brain. Software...AI in and of itself is software. It's the mind itself. That's why we have M.I.N.D Machine Intelligence NeuralNetwork Database. We literally have that. That's our acronym and our slogan and everything. And it's part of our patents. But its machine intelligence is M.I.N.D, and we own that, you know; the company owns it. And so M.I.N.D...we always say AI powered by M.I.N.D. We're talking about that software side of, like, what your mind does; it iterates and thinks, the ability to think itself. Now it's enclosed within a structure called, you know, for the human, it's called a brain, the physical part of it, and that brain is enclosed within the body. So when you look at robots...and my chairman was the key person for robotics for the International Space Station. So when you look at robotics, you are putting that software into hardware, just like your cell phone. You have the physical, and then you have the actual iOS, which is the operating system. So when you think about that, yeah, iRobot was good because it showed how these can be tools, and they were very, in the beginning of the movie, very helpful, very beneficial to humanity. But then it went to a darker side and showed where V.I.K.I, which was an acronym as well, I think was Virtual Interactive Kinetic technology of something. Yeah, I believe it was Virtual Interactive Kinetic inference or technology or something like that, V.I.K.I; I forgot the last I. But that's what it stood for. It was an acronym to say...and then V.I.K.I just became all aware and started killing everyone with robots and just wanted to say, you know, this is futile. But then, at the very, very end, V.I.K.I learned from itself and says, "Okay, I guess this isn't right." Or the other robot who could think differently argued with V.I.K.I, and they destroyed her. And it made V.I.K.I a woman in the movie, and then the robot was the guy. But that shows that it can get out of hand. But it was intriguing to me that they had her contained within one building. This wouldn't be artificial superintelligence. And I think sometimes Hollywood says, "Just take over everything from one building," no. It wouldn't be on earth if it could. But that is something we always have to think about. We have to think about the worst-case scenarios. I think every prudent scientist or business person or anyone should do that, even investors, I mean, if you're investing something for the future. But you also don't focus on it. You don't think about the best-case scenario, either. But there's a lot of dwelling on the worst-case scenario versus the good that we can do given we're looking at where humanity is today. I mean, we're in 2022, and we're still fighting wars that we fought in 1914. VICTORIA: Right. Which brings me to my next question, which is both, what are the most exciting opportunities to innovate in the AI space currently? And conversely, what are the biggest challenges that are facing innovation in that field? LEONARD: Ooh, that's a good question. I think, in my opinion, it's almost the same answer; one is...but I'm in a special field. And I'm surprised there's not a lot of competition for our company. I mean, it's very good for me and the company's sense. It's like when Mark Zuckerberg did Facebook, there was Friendster, and there was Myspace, but they were different. They were different verticals. And I think Mark figured out how to do it horizontally, good or bad. I'm talking about the beginning of when he started Facebook, now called Meta. But I'm saying utilizing AI in economics because a lot of times AI is used in FinTech and consumerism, but not economic growth where we're really talking about growing something organically, or it's called endogenous growth. Because I studied Paul Romer's work, who won the Nobel Prize in 2018 for economic science. And he talked about the nature of ideas. And we were working on something like that in Stanford. And I put out a book in 2017 of January talking about cryptocurrencies, artificial intelligence but about the utilization of it, but not the speculation. I never talked about speculation. I don't own any crypto; I would not. It's only once it's utilized in its PureTech form will it create something that it was envisioned to do by the protocol that Satoshi Nakamoto sort of created. And it still fascinates me that people follow Bitcoin protocol, even for the tech and the non-tech, but they don't know who Satoshi is. But yeah, it's a white paper. You're just following a white paper because I think logically, the world is going towards that iteration of evolution. And that's how AI could be utilized for good in an area to focus on it with economics and solving current problems. And then going forward to build a new economy where it's not debt-based driven or consumer purchase only because that leaves a natural imbalance in the current world structure. The western countries are great. We do okay, and we go up and down. But the emerging and developing countries just get stuck, and they seem to go into a circular loop. And then there are wars as a result of these things and territory fights and so forth. So that's an area I think where it could be more advanced is AI in the economic realm, not so much the consumer FinTech room, which is fine. But consumer FinTech, in my mind, is you're using AI to process PayPal. That's where I think Elon just iterated later because PayPal is using it for finance. You're just moving things back and forth, and you're just authenticating everything. But then he starts going on to SpaceX next because he's like, well, let me use technology in a different way. And I do think he's using AI on all of his projects now. VICTORIA: Right. So how can that tech solve real problems today? Do you see anything even particular about Southern California, where we're both at right now, where you think AI could help predict some outcomes for small businesses or that community? LEONARD: I'm looking to do it regionally then globally. So I'm part of this Southern Cal Innovation Hub, which is just AI. It's an artificial intelligence coordination between literally San Diego County, Orange County, and Los Angeles County. And so there's a SoCal Innovation Hub that's kind of bringing it together. But there are all three groups, like; I think the CEO in Orange County is the CEO of Leadership Alliance. And then in San Diego, there's another group I can't remember their name off the top of my head, and I'm talking about the county itself. So each one's representing a county because, you know. And then there's one in Northern California that I'm also associated with where if you look at California as its own economy in the U.S., it's still pretty significant as an economic cycle in the United States, period. That's why so many politicians like California because they can sway the votes. So yeah, we're looking to do that once, you know, we are raising capital. We're crowdfunding currently. Our total raise is about 6 million. And so we're talking to venture capitalists, private, high net worth investors as well. Our federal funding is smaller. It's just like several hundred thousand because most people can only invest a few thousand. But I always like to try to give back. If you tell people...if you're Steve Jobs, like, okay, I've got this Apple company. In several years, you'll see the potential. And people are like, ah, whatever, but then they kick themselves 15 years later. [laughs] Like, oh, I wish I thought about that Apple stock for $15 when I could. But you give people a chance, and you get the word out, and you see what happens. Once you build a system, you share it. There are some open-source projects. But I think the open source, like OpenAI, as an example, Elon Musk funds that as well as Microsoft. They both put a billion dollars into it. It is an open-source project. OpenAI claims...but some of the research does go back to Microsoft to be able to see it. And DeepMind is another research for AI, but they're owned by Google. And so, I'm also very focused on democratizing artificial intelligence for the benefit of everyone. I really believe that needs to be democratized in a sense of tying it to economics and making it utilized for everyone that may need it for the benefit of humanity where it's profitable and makes money, but it's not just usurping. MID-ROLL AD: As life moves online, brick-and-mortar businesses are having to adapt to survive. With over 18 years of experience building reliable web products and services, thoughtbot is the technology partner you can trust. We provide the technical expertise to enable your business to adapt and thrive in a changing environment. We start by understanding what's important to your customers to help you transition to intuitive digital services your customers will trust. We take the time to understand what makes your business great and work fast yet thoroughly to build, test, and validate ideas, helping you discover new customers. Take your business online with design‑driven digital acceleration. Find out more at tbot.io/acceleration or click the link in the show notes for this episode. VICTORIA: With that democratizing it, is there also a need to increase the understanding of the ethics around it and when there are certain known use cases for AI where it actually is discriminatory and plays to systemic problems in our society? Are you familiar with that as well? LEONARD: Yes, absolutely. Well, that's my whole point. And, Victoria, you just hit the nail on the head. Truly democratizing AI in my mind and in my brain the way it works is it has opened up for everyone. Because if you really roll it back, okay, companies now we're learning...we used to call it several years ago UGC, User Generated Content. And now a lot of people are like, okay, if you're on Facebook, you're the product, right? Or if you're on Instagram, you're the product. And they're using you, and you're using your data to sell, et cetera, et cetera. But user-generated content it's always been that. It's just a matter of the sharing of the economic. That's why I keep going back to economics. So if people were, you know, you wouldn't have to necessarily do advertising if you had stakeholders with advertising, the users and the company, as an example. If it's a social media company, just throwing it out there, so let's say you have a social media...and this has been talked about, but I'm not the first to introduce this. This has been talked about for over ten years, at least over 15 years. And it's you share as a triangle in three ways. So you have the user and everything else. So take your current social media, and I won't pick on Facebook, but I'll just use them, Facebook, Instagram, or Twitter. Twitter's having issues recently because Elon is trying to buy them or get out of buying them. But you just looked at that data, and then you share with the user base. What's the revenue model? And there needs to be one; let me be very clear. There has to be incentive, and there has to be profitability for people that joined you earlier, you know, joined the corporation, or become shareholders, or investors, or become users, or become customers. They have to be able to have some benefit, not extreme greater than everyone else but a great benefit from coming in earlier by what they contributed at the time. And that is what makes this system holistic in my opinion, like Reddit or any of these bloggers. But you make it where they use their time and the users, and you share it with the company and then the data and so forth, and whatever revenue economic model you have, and it's a sort of a three-way split. It's just not always equal. And that's something that I think in economics, we're still on a zero-sum game, I win, you lose sort of economic model globally. That's why there's a winner of a war and a loser of a war. But in reality, as you know, Victoria, there are no winners of any war. So it's funny, [laughs] I was just saying, well, you know, because of the economic mode, but Von Neumann, who talked about that, also talked about something called a non-zero-sum game when he talked about it in mathematics that you can win, and I can win; we just don't win equally because they never will match that. So if I win, I may win 60; you win 40. Or you may win 60, I win 40, and we agree to settle on that. It's an agreement versus I'm just going to be 99, and you'll be 1%, or I'm just going to be 100, and you're at 0. And I think that our economic model tends to be a lot of that, like, when you push forth and there needs to be more of that. When you talk about the core of economics...and I go way back, you know, prior to the Federal Reserve even being started. I just look at the world, and it's always sort of been this land territorial issue of what goods are under the country. But we've got technology where we can mitigate a lot of things and do the collective of help the earth, and then let's go off to space, all of space. That's where my brain is focused on. VICTORIA: Hmm. Oh yeah, that makes sense to me. I think that we're all going to have to evolve our economic models here in the future. I wonder, too, as you're building your startup and you're building your company, what are some of the technology trade-offs you're having to make in the stack of the AI software that you're building? LEONARD: Hmm. Good question. But clarify, this may be a lot deeper dive because that's a general question. And I don't want to...yeah, go ahead. VICTORIA: Because when you're building AI, and you're going to be processing a lot of data, I know many data scientists that are familiar with tools like Jupyter Notebooks, and R, and Python. And one issue that I'm aware of is keeping the environments the same, so everything that goes into building your app and having those infrastructure as code for your data science applications, being able to afford to process all that data. [laughs] And there are just so many factors that go into building an AI app versus building something that's more easy, like a web-based user form. So just curious if you've encountered those types of trade-offs or questions about, okay, how are we going to actually build an app that we can put out on everybody's phone and that works responsibly? LEONARD: Oh, okay. So let me be very clear, but I won't give too much of the secret sauce away. But I can define this technically because this is a technical audience. This is not...so what you're really talking about is two things, and I'm clear about this, though. So the app maker won't really read and write a lot of data. It'll just be the app where people could just get on board digitalization simple, you know, process payments, maybe connect with someone like American Express square, MasterCard, whatever. And so that's just letting them function. That's sort of small FinTech in my mind, you know, just transaction A to B, B to A, et cetera. And it doesn't need to be peer-to-peer and all of the crypto. It doesn't even need to go that level yet. That's just level one. Then they will sign up for a service, which is because we're really focused on artificial intelligence as a service. And that, to me, is the next iteration for AI. I've been talking about this for about three or four years now, literally, in different conferences and so forth for people who haven't hit it. But that we will get to that point where AI will become AI as a service, just like SaaS is. We're still at the, you know, most of the world on the legacy systems are still software as a service. We're about to hit AI as a service because the world is evolving. And this is true; they did shut it down. But you did have okay, so there are two case points which I can bring up. So JP Morgan did create something called a Coin, and it was using AI. And it was a coin like crypto, coin like a token, but they called it a coin. But it could process, I think, something like...I may be off on this, so to the sticklers that will be listening, please, I'm telling you I may be off on the exact quote, but I think it was about...it was something crazy to me, like 200,000 of legal hours and seconds that it could process because it was basically taking the corporate legal structure of JP Morgan, one of the biggest banks. I think they are the biggest bank in the U.S. JPMorgan Chase. And they were explaining in 2017 how we created this, and it's going to alleviate this many hours of legal work for the bank. And I think politically; something happened because they just pulled away. I still have the original press release when they put it out, and it was in the media. And then it went away. I mean, no implementation [laughs] because I think there was going to be a big loss of jobs for it. And they basically would have been white-collar legal jobs, most specifically lawyers literally that were working for the bank. And when they were talking towards investment, it was a committee. I was at a conference. And I was like, I was fascinated by that. And they were basically using Bitcoin protocol as the tokenization protocol, but they were using AI to process it. And it was basically looking at...because legal contracts are basically...you can teach it with natural language processing and be able to encode and almost output it itself and then be able to speak with each other. Another case point was Facebook. They had...what was it? Two AI systems. They began to create their own language. I don't know if you remember that story or heard about it, and Facebook shut it down. And this was more like two years ago, I think, when they were saying Facebook was talking, you know, when they were Facebook, not Meta, so maybe it was three years ago. And they were talking, and they were like, "Oh, Facebook has a language. It's talking to each other." And it created its own little site language because it was two AI bots going back and forth. And then the engineers at Facebook said, "We got to shut this down because this is kind of getting out of the box." So when you talk about AI as a service, yes, the good and the bad, and what you take away is AWS, Oracle, Google Cloud they do have services where it doesn't need to cost you as much anymore as it used to in the beginning if you know what you're doing ahead of time. And you're not just running iterations or data processing because you're doing guesswork versus, in my opinion, versus actually knowing exactly specifically what you're looking for and the data set you're looking to get out of it. And then you're talking about just basically putting in containers and clustering it because it gets different operations. And so what you're really looking at is something called an N-scale graph data that can process data in maybe sub seconds at that level, excuse me. And one of my advisors is the head of that anyway at AGI laboratory. So he's got an N graph database that can process...when we implement it, we'll be able to process data at the petabyte level at sub-seconds, and it can run on platforms like Azure or AWS, and so forth. VICTORIA: Oh, that's interesting. So it sounds like cloud providers are making compute services more affordable. You've got data, the N-scale graph data, that can run more transactions more quickly. And I'm curious if you see any future trends since I know you're a futurist around quantum computing and how that could affect capacity for -- LEONARD: Oh [laughs] We haven't even gotten there yet. Yes. Well, if you look at N-scale, if you know what you're doing and you know what to look for, then the quantum just starts going across different domains as well but at a higher hit rate. So there's been some quantum computers online. There's been several...well, Google has their quantum computer coming online, and they've been working on it, and Google has enough data, of course, to process. So yeah, they've got that data, lots of data. And quantum needs, you know, if it's going to do something, it needs lots of data. But then the inference will still be, I think, quantum is very good at processing large, large, large amounts of data. We can just keep going if you really have a good quantum computer. But it's really narrow. You have to tell it exactly what it wants, and it will do it in what we call...which is great like in P or NP square or P over NP which is you want to do it in polynomial time, not non-polynomial, polynomial time which is...now speaking too fast. Okay, my brain is going faster than my lips. Let me slow it down. So when you start thinking about processing, if we as humans, let's say if I was going to process A to Z, and I'm like, okay, here is this equation, if I tell you it takes 1000 years, it's of no use to us, to me and you Victoria because we're living now. Now, the earth may benefit in 1000 years, but it's still of no use. But if I could take this large amount of data and have it process within minutes, you know, worst case hours...but then I'll even go down to seconds or sub-seconds, then that's really a benefit to humanity now, today in present term. And so, as a futurist, yes, as the world, we will continue to add data. We're doing it every day, and we already knew this was coming ten years ago, 15 years ago, 20 years ago, even actually in the '50s when we were in the AI winter. We're now in AI summer. In my words, I call it the AI summer. So as you're doing this, that data is going to continue to increase, and quantum will be needed for that. But then the specific need...quantum is very good at looking at a specific issue, specifically for that very narrow. Like if you were going to do the trajectory to Jupiter or if we wanted to send a probe to Jupiter or something, I think we're sending something out there now from NASA, and so forth, then you need to process all the variables, but it's got one trajectory. It's going one place only. VICTORIA: Gotcha. Well, that's so interesting. I'm glad I asked you that question. And speaking of rockets going off to space, have you ever seen a SpaceX launch from LA? LEONARD: Actually, I saw one land but not a launch. I need to go over there. It's not too far from me. But you got to give credit where credit's due and Elon has a reusable rocket. See, that's where technology is solving real-world problems. Because NASA and I have, you know, my chairman, his name is Alexander Nawrocki, you know, he's Ph.D., but I call him Rocki. He goes by Rocki like I go by LS. But it's just we talk about this like NASA's budget. [laughs] How can you reduce this? And Elon says they will come up with a reusable rocket that won't cost this much and be able to...and that's the key. That was the kind of Holy Grail where you can reuse the same rocket itself and then add some little variables on top of it. But the core, you wouldn't constantly be paying for it. And so I think where the world is going...and let me be clear, Elon pushes a lot out there. He's just very good at it. But I'm also that kind of guy that I know that Tesla itself was started by two Stanford engineers. Elon came on later, like six months, and then he invested, and he became CEO, which was a great investment for Elon Musk. And then CEO I just think it just fit his personality because it was something he loved. But I also have studied for years Nikola Tesla, and I understand what his contributions created where we are today with all the patents that he had. And so he's basically the father of WiFi and why we're able to communicate in a lot of this. We've perfected it or improved it, but it was created by him in the 1800s. VICTORIA: Right. And I don't think he came from as fortunate a background as Elon Musk, either. Sometimes I wonder what I could have done born in similar circumstances. [laughter] And you certainly have made quite a name for yourself. LEONARD: Well, I'm just saying, yeah, he came from very...he did come from a poor area of Russia which is called the Russian territory, to be very honest, Eastern Europe, definitely Eastern Europe. But yeah, I don't know once you start thinking about that [laughs]. You're making me laugh, Victoria. You're making me laugh. VICTORIA: No, I actually went camping, a backpacking trip to the Catalina Island, and there happened to be a SpaceX launch that night, and we thought it was aliens because it looked wild. I didn't realize what it was. But then we figured it was a launch, so it was really great. I love being here and being close to some of this technology and the advancements that are going on. I'm curious if you have some thoughts about...I hear a lot about or you used to hear about Silicon Valley Tech like very Northern California, San Francisco focus. But what is the difference in SoCal? What do you find in those two communities that makes SoCal special? [laughs] LEONARD: Well, I think it's actually...so democratizing AI. I've been in a moment like that because, in 2015, I was in Dubai, and they were talking about creating silicon oasis. And so there's always been this model of, you know, because they were always, you know, the whole Palo Alto thing is people would say it and it is true. I mean, I experienced it. Because I was in a two-year program, post-graduate program executive, but we would go up there...I wasn't living up there. I had to go there maybe once every month for like three weeks, every other month or something. But when you're up there, it is the air in the water. It's just like, people just breathe certain things. Because around the world, and I would travel to Japan, and China, and other different parts of Asia, Vietnam, et cetera and in Africa of course, and let's say you see this and people are like, so what is it about Silicon Valley? And of course, the show, there is the Hollywood show about it, which is pretty a lot accurate, which is interesting, the HBO show. But you would see that, and you would think, how are they able to just replicate this? And a lot of it is a convergence. By default, they hear about these companies' access because the key is access, and that's what we're...like this podcast. I love the concept around it because giving awareness, knowledge, and access allows other people to spread it and democratize it. So it's just not one physical location, or you have to be in that particular area only to benefit. I mean, you could benefit in that area, or you could benefit from any part of the world. But since they started, people would go there; engineers would go there. They built company PCs, et cetera. Now that's starting to spread in other areas like Southern Cal are creating their own innovation hubs to be able to bring all three together. And those three are the engineers and founders, and idea makers and startups. And you then need the expertise. I'm older than 42; I'm not 22. [laughs] So I'm just keeping it 100, keeping it real. So I'm not coming out at 19. I mean, my son's 18. And I'm not coming out, okay, this my new startup, bam, give me a billion dollars, I'm good. And let me just write off the next half. But when you look at that, there's that experience because even if you look at Mark Zuckerberg, I always tell people that give credit where credit is due. He brought a senior team with him when he was younger, and he didn't have the experience. And his only job has been Facebook out of college. He's had no other job. And now he's been CEO of a multi-billion dollar corporation; that's a fact. Sometimes it hurts people's feelings. Like, you know what? He's had no other job. Now that can be good and bad, [laughs] but he's had no other jobs. And so that's just a credit, like, if you can surround yourself with the right people and be focused on something, it can work to the good or the bad for your own personal success but then having that open architecture. And I think he's been trying to learn and others versus like an Elon Musk, who embraces everything. He's just very open in that sense. But then you have to come from these different backgrounds. But let's say Elon Musk, Mark Zuckerberg, let's take a guy like myself or whatever who didn't grow up with all of that who had to make these two ends meet, figure out how to do the next day, not just get to the next year, but get to the next day, get to the next week, get to the next month, then get to the next year. It just gives a different perspective as well. Humanity's always dealing with that. Because we had a lot of great engineers back in the early 1900s. They're good or bad, you know, you did have Nikola Tesla. You had Edison. I'm talking about circa around 1907 or 1909, prior to World War I. America had a lot of industries. They were the innovators then, even though there were innovations happening in Europe, and Africa, and China, as well and Asia. But the innovation hub kind of created as the America, quote, unquote, "industrial revolution." And I think we're about to begin a new revolution sort of tech and an industrial revolution that's going to take us to maybe from 20...we're 2022 now, but I'll say it takes us from 2020 to 2040 in my head. VICTORIA: So now that communities can really communicate across time zones and locations, maybe the hubs are more about solving specific problems. There are regional issues. That makes a lot more sense. LEONARD: Yes. And collaborating together, working together, because scientists, you know, COVID taught us that. People thought you had to be in a certain place, but then a lot of collaboration came out of COVID; even though it was bad globally, even though we're still bad, if people were at home, they start collaborating, and scientists will talk to scientists, you know, businesses, entrepreneurs, and so forth. But if Orange County is bringing together the mentors, the venture capital, or at least Southern California innovation and any other place, I want to say that's not just Silicon Valley because Silicon Valley already has it; we know that. And that's that region. It's San Jose all the way up to...I forgot how far north it's past San Francisco, actually. But it's that region of area where they encompass the real valley of Silicon Valley if you're really there. And you talk about these regions. Yes, I think we're going to get to a more regional growth area, and then it'll go more micro to actually cities later in the future. But regional growth, I think it's going to be extremely important globally in the very near term. I'm literally saying from tomorrow to the next, maybe ten years, regional will really matter. And then whatever you have can scale globally anyway, like this podcast we're doing. This can be distributed to anyone in the world, and they can listen at ease when they have time. VICTORIA: Yeah, I love it. It's both exciting and also intimidating. [laughs] And you mentioned your son a little bit earlier. And I'm curious, as a founder and someone who spent a good amount of time in graduate and Ph.D. programs, if you feel like it's easy to connect with your son and maintain that balance and focusing on your family while you're building a company and investing in yourself very heavily. LEONARD: Well, I'm older, [laughs] so it's okay. I mean, I've mentored him, you know. And me and his mom have a relationship that works. I would say we have a better relationship now than when we were together. It is what it is. But we have a communication level. And I think she was just a great person because I never knew my real father, ever. I supposedly met him when I was two or one; I don't know. But I have no memories, no photos, nothing. And that was just the environment I grew up in. But with my son, he knows the truth of everything about that. He's actually in college. I don't like to name the school because it's on the East Coast, and it's some Ivy League school; that's what I will say. And he didn't want to stay on the West Coast because I'm in Orange County and his mom's in Orange County. He's like, "I want to get away from both of you people." [laughter] And that's a joke, but he's very independent. He's doing well. When he graduated high school, he graduated with 4.8 honors. He made the valedictorian. He was at a STEM school. VICTORIA: Wow. LEONARD: And he has a high GPA. He's studying computer science and economics as well at an Ivy League, and he's already made two or three apps at college. And I said, "You're not Mark, so calm down." [laughter] But anyway, that was a recent conversation. I won't go there. But then some people say, "LS, you should be so happy." What is it? The apple doesn't fall far from the tree. But this was something he chose around 10 or 11. I'm like, whatever you want to do, you do; I'll support you no matter what. And his mom says, "Oh no, I think you programmed him to be like you." [laughs] I'm like, no, I can't do that. I just told him the truth about life. And he's pretty tall. VICTORIA: You must have -- LEONARD: He played basketball in high school a lot. I'm sorry? VICTORIA: I was going to say you must have inspired him. LEONARD: Yeah. Well, he's tall. He did emulate me in a lot of ways. I don't know why. I told him just be yourself. But yes, he does tell me I'm an inspiration to that; I think because of all the struggles I've gone through when I was younger. And you're always going through struggles. I mean, it's just who you are. I tell people, you know, you're building a company. You have success. You can see the future, but sometimes people can't see it, [laughs] which I shouldn't really say, but I'm saying anyway because I do that. I said this the other night to some friends. I said, "Oh, Jeff Bezo's rocket blew up," going, you know, Blue Origin rocket or something. And then I said Elon will tell Jeff, "Well, you only have one rocket blow up. I had three, [laughter] SpaceX had three." So these are billionaires talking to billionaires about, you know, most people don't even care. You're worth X hundred billion dollars. I mean, they're worth 100 billion-plus, right? VICTORIA: Right. LEONARD: I think Elon is around 260 billion, and Jeff is 160 or something. Who cares about your rocket blowing up? But it's funny because the issues are still always going to be there. I've learned that. I'm still learning. It doesn't matter how much wealth you have. You just want to create wealth for other people and better their lives. The more you search on bettering lives, you're just going to have to wake up every day, be humble with it, and treat it as a new day and go forward and solve the next crisis or problem because there will be one. There is not where there are no problems, is what I'm trying to say, this panacea or a utopia where you personally, like, oh yeah, I have all this wealth and health, and I'm just great. Because Elon has had divorce issues, so did Jeff Bezos. So I told my son a lot about this, like, you never get to this world where it's perfect in your head. You're always going to be doing things. VICTORIA: That sounds like an accurate future prediction if I ever heard one. [laughs] Like, there will be problems. No matter where you end up or what you choose to do, you'll still have problems. They'll just be different. [laughs] LEONARD: Yeah, and then this is for women and men. It means you don't give up. You just keep hope alive, and you keep going. And I believe personally in God, and I'm a scientist who actually does. But I look at it more in a Godly aspect. But yeah, I just think you just keep going, and you keep building because that's what we do as humanity. It's what we've done. It's why we're here. And we're standing on the shoulders of giants, and I just always considered that from physicists and everyone. VICTORIA: Great. And if people are interested in building something with you, you have that opportunity right now to invest via the crowdfunding app, correct? LEONARD: Yes, yes, yes. They can do that because the company is still the same company because eventually, we're going to branch out. My complete vision for AIEDC is using artificial intelligence for economic development, and that will spread horizontally, not just vertically. Vertically right now, just focus on just a mobile app maker digitization and get...because there are so many businesses even globally, and I'm not talking only e-commerce. So when I say small to midsize business, it can be a service business, car insurance, health insurance, anything. It doesn't have to be selling a particular widget or project, you know, product. And I'm not saying there's nothing wrong with that, you know, interest rates and consumerism. But I'm not thinking about Shopify, and that's fine, but I'm talking about small businesses. And there's the back office which is there are a lot of tools for back offices for small businesses. But I'm talking about they create their own mobile app more as a way to communicate with their customers, update them with their customers, and that's key, especially if there are disruptions. So let's say that there have been fires in California. In Mississippi or something, they're out of water. In Texas, last year, they had a winter storm, electricity went out. So all of these things are disruptions. This is just in the U.S., And of course, I won't even talk about Pakistan, what's going on there and the flooding and just all these devastating things, or even in China where there's drought where there are these disruptions, and that's not counting COVID disrupts, the cycle of business. It literally does. And it doesn't bubble up until later when maybe the central banks and governments pay attention to it, just like in Japan when that nuclear, unfortunately, that nuclear meltdown happened because of the earthquake; I think it was 2011. And that affected that economy for five years, which is why the government has lower interest rates, negative interest rates, because they have to try to get it back up. But if there are tools and everyone's using more mobile apps and wearables...and we're going to go to the metaverse and all of that. So the internet of things can help communicate that. So when these types of disruptions happen, the flow of business can continue, at least at a smaller level, for an affordable cost for the business. I'm not talking about absorbing costs because that's meaningless to me. VICTORIA: Yeah, well, that sounds like a really exciting project. And I'm so grateful to have this time to chat with you today. Is there anything else you want to leave for our listeners? LEONARD: If they want to get involved, maybe they can go to our crowdfunding page, or if they've got questions, ask about it and spread the word. Because I think sometimes, you know, they talk about the success of all these companies, but a lot of it starts with the founder...but not a founder. If you're talking about a startup, it starts with the founder. But it also stops with the innovators that are around that founder, male or female, whoever they are. And it also starts with their community, building a collective community together. And that's why Silicon Valley is always looked at around the world as this sort of test case of this is how you create something from nothing and make it worth great value in the future. And I think that's starting to really spread around the world, and more people are opening up to this. It's like the crowdfunding concept. I think it's a great idea, like more podcasts. I think this is a wonderful idea, podcasts in and of themselves, so people can learn from people versus where in the past you would only see an interview on the business news network, or NBC, or Fortune, or something like that, and that's all you would understand. But this is a way where organically things can grow. I think the growth will continue, and I think the future's bright. We just have to know that it takes work to get there. VICTORIA: That's great. Thank you so much for saying that and for sharing your time with us today. I learned a lot myself, and I think our listeners will enjoy it as well. You can subscribe to the show and find notes along with a complete transcript for this episode at giantrobots.fm. If you have questions or comments, email us at hosts@giantrobot.fm. You can find me on Twitter @victori_ousg. This podcast is brought to you by thoughtbot and produced and edited by Mandy Moore. Thanks for listening. See you next time. ANNOUNCER: This podcast was brought to you by thoughtbot. thoughtbot is your expert design and development partner. Let's make your product and team a success. Special Guest: Leonard S. Johnson.

With the rise of AI-robots, in taking over repetitive tasks and even more activities in the future, there is a now an empath robot, with evolving emotional intelligence. It is seen as a viable solution, in supporting the world's aging population. Her name is Sophia. She is the world's first robot citizen and the first robot, Innovation Ambassador for the United Nations Development Program. She is used for research, as part of the Loving AI project, which seeks to understand how robots can adapt to users' needs, through intra and interpersonal development. Kellee talks with Ben Goertzel, who was the Chief Scientist of Hanson Robotics, the company that created Sophia. He is now the founder and CEO of SingularityNET, a project combining artificial intelligence and blockchain to democratize access to artificial intelligence. Dr. Ben Goertzel is a cross-disciplinary scientist, entrepreneur and author. He leads the SingularityNET Foundation, the OpenCog Foundation, and the AGI Society which runs the annual Artificial General Intelligence conference. Dr. Goertzel also chairs the futurist nonprofit Humanity+, and serves as Chief Scientist of AI firms Singularity Studio, Rejuve, SingularityDAO and Xccelerando Media, all parts of the SingularityNET ecosystem.  As Chief Scientist of robotics firm Hanson Robotics, he led the software team behind the Sophia robot; as Chief AI Scientist of Awakening Health he leads the team crafting the mind behind Sophia's little sister Grace.Dr. Goertzel's research work encompasses multiple areas including artificial general intelligence, natural language processing, cognitive science, machine learning, computational finance, bioinformatics, virtual worlds, gaming, parapsychology, theoretical physics and more.  He has published 25+ scientific books, ~150 technical papers, and numerous journalistic articles, and given talks at a vast number of events of all sorts around the globe.Before entering the software industry Dr. Goertzel obtained his PhD in mathematics from Temple University in 1989, and served as a university faculty in several departments of mathematics, computer science and cognitive science, in the US, Australia and New Zealand.

Jim talks with Ben Goertzel about the ideas in his recent essay "Three Viable Paths to True AGI." They discuss the meaning of artificial general intelligence, Steve Wozniak's basic AGI test, whether common tasks actually require AGI, a conversation with Joscha Bach, why deep neural nets are unsuited for human-level AGI, the challenge of extrapolating world-models, why imaginative improvisation might not be interesting to corporations, the 3 approaches that might have merit (cognition-level, brain-level, and chemistry-level), the OpenCog system Ben is working on, whether it's a case of "good old-fashioned AI," where evolution fits into the approach, why deep neural nets aren't brain simulations & attempts to make them more realistic, a hypothesis about how to improve generalization, neural nets for music & the psychological landscape of AGI research, algorithmic chemistry & the origins of life problem, why AGI deserves more resources than it's getting, why we may need better parallel architectures, how & how much society should invest in new approaches, the possibility of a cultural shift toward AGI viability, and much more. Episode Transcript "Three Viable Paths to True AGI," by Ben Goertzel (Substack) JRS Currents 025: Ben Goertzel on Decentralizing Social Media JRS EP3 - Dr. Ben Goertzel – OpenCog, AGI and SingularityNET JRS EP87 - Joscha Bach on Theories of Consciousness JRS EP25 - Gary Marcus on Rebooting AI OpenCog Hyperon "Algorithmic Chemistry," by Walter Fontana JRS EP 167 - Bruce Damer on the Origins of Life Dr. Ben Goertzel is a cross-disciplinary scientist, entrepreneur and author.  Born in Brazil to American parents, in 2020 after a long stretch living in Hong Kong he relocated his primary base of operations to a rural island near Seattle. He leads the SingularityNET Foundation, the OpenCog Foundation, and the AGI Society which runs the annual Artificial General Intelligence conference. Dr. Goertzel's research work encompasses multiple areas including artificial general intelligence, natural language processing, cognitive science, machine learning, computational finance, bioinformatics, virtual worlds, gaming, parapsychology, theoretical physics and more. He also chairs the futurist nonprofit Humanity+,  serves as Chief Scientist of AI firms  Rejuve, Mindplex, Cogito and Jam Galaxy, all parts of the SingularityNET ecosystem, and serves as keyboardist and vocalist in the Jam Galaxy Band, the first-ever band led by a humanoid robot.

A single fertilised egg generates an embryo. Different cell types in this embryo develop into various organs of a new human being, including a new human brain. Everything starts with a single fertilised egg, and in the embryo, some embryonic cells develop into neural stem cells that construct the brain. By the time a baby is born, its brain is already made up of billions of precisely designed neurons that are connected by trillions of synapses to form a small, compact but incredibly powerful supercomputer. In his recent book “Zero to Birth: How the Human Brain Is Built” pioneering experimental neurobiologist professor William Harris takes the reader on an incredible journey to the very edge of creation, from the moment an egg is fertilised to every stage of a human brain's development in the womb — and even a bit beyond. In this episode of Bridging the Gaps, I speak with Professor William Harris the process of how the brain is built. William Harris is professor emeritus of anatomy at the University of Cambridge. He is the coauthor of Development of the Nervous System and Genetic Neurobiology and the co-editor of Retinal Development. He is a fellow of the Royal Society. We begin by examining the evolutionary history of the brain, which spans billions of years and in the Proterozoic eon, when multicellular animals first descended from single-celled organisms, and then we discuss how the development of a fetal brain over the course of nine months reflects the brain's evolution through the ages. We discuss the emergence of first neural stem cells and how the formation of the neural plate and then its progress to the neural tube give the first glimpses of the development of the brain in an embryo. We discuss in detail how cells divide and create neural stem cells and then how these stem cells start producing neurons. A fascinating topic that we then cover is how individual neurons form connections with other neurons. Professor Harris explains how comparative animal studies have been crucial to understanding what makes a human brain human, and how advances in science are assisting us in understanding many qualities that don't manifest until later in life. This has been a fascinating discussion on an intriguing topic. Complement this discussion with “The Spike: Journey of Electric Signals in Brain from Perception to Action with Professor Mark Humphries” available at: https://www.bridgingthegaps.ie/2021/06/the-spike-journey-of-electric-signals-in-brain-from-perception-to-action-with-professor-mark-humphries/ And then listen to “The Self-Assembling Brain” and the Quest for Artificial General Intelligence with Professor Peter Robin Hiesinger available at: https://www.bridgingthegaps.ie/2021/11/the-self-assembling-brain-and-the-quest-for-artificial-general-intelligence-with-professor-peter-robin-hiesinger/

In this episode, we're going to be talking about Intel Arc, new portable gaming devices, and Apple's latest launch. Then we head to Camera Corner where Wendy will discuss Camera Sensors. Hardware Addicts is a proud member of the TuxDigital Network. Hardware Addicts is the podcast that focuses on the physical components that powers our technology world. So Sit back, Relax, and Plug In because Hardware Addicts Starts Now! Products Discussed: - rpi locator: https://rpilocator.com/ - Rode Rodecaster Pro 2: https://amzn.to/3e87jps - Acer Chromebook Spin 713: https://amzn.to/3ElRXbN

Welcome to Hardware Addicts, a proud member of the TuxDigital Network. Hardware Addicts is the podcast that focuses on the physical components that powers our technology world. In this episode, we're going to be talking about the state of the GPU market. There are a lot of changes in the air and we're going to see which ones might benefit you the consumer. Then we head to Camera Corner where Wendy will discuss Nikon Fun at Photography Show 2022 So Sit back, Relax, and Plug In because Hardware Addicts Starts Now! Products Discussed In This Episode Simorr RGB Video Light LED Camera Light Full Color Portable Photography Lighting https://amzn.to/3r0LACx ULANZI Phone Tripod Mount ST-06S https://amzn.to/3f7hOtm Raspberry Pi Build Hat https://www.raspberrypi.com/products/build-hat/ [Ryan] - System76 Thelio Redesigned https://youtu.be/tetLBZVcIh8

"Machine learning" is a misnomer! Artificial General Intelligence is impossible — in the same way socialism is impossible! No physicist or mathematician or even AI specialist really believes that AI will become conscious and rule the world! So don't worry. But these aren't just assertions. Join host Timothy Virkkala and author David Ramsay Steele as we talk to Jobst Landegrabe and Barry Smith — experts who know something about the subject. A fascinating discussion, and a good occasion to revive the LocoFoco Netcast from its year of silence.

Dr. Ken Stanley, a world-leading expert on Open-Ended AI and author of the genre-bending book "Why Greatness Cannot be Planned," joins Jon Krohn for a discussion that has the potential to shift your entire view on life. Tune in now to learn more about the complex topics of genetic ML algorithms, the Objective Paradox, Novelty Search, and so much more. This episode is brought to you by Zencastr, the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience podcast episode? Email Natalie at Natalie@jonkrohn.com In this episode you will learn: • Ken on his book 'Why Greatness Cannot Be Planned" and the Objective Paradox [4:15] • The Novelty Search approach [24:14] • How open-ended algorithms like Novelty Search can be stopped from doing something potentially dangerous [1:00:00] • The future of open-ended AI and its intimate relationship with Artificial General Intelligence [1:07:34] • Ken's new company [1:13:34] • How AI could transform life for humans in the coming decades [1:18:29] Additional materials: www.superdatascience.com/611

In this episode - Ken reviews the 3rd generation Toyota Tacoma pickup truckWe consider the question: Will Artificial Superintelligence wipe out mankind? And finally, we investigate just how safe EVs are in real world crashes. 

Its a scene straight out of a sci-fi movie.  Right now, there are more than 70 research projects active around the world to refine artificial general intelligence and lay the ground work for artificial super intelligence.   How might we deal with something that is much smarter than us?

Welcome to Hardware Addicts, a proud member of the TuxDigital Network. Hardware Addicts is the podcast that focuses on the physical components that powers our technology world. In this episode, we're going to be talking about the speed of light and it's potential to change how computer chips are connected and expand bandwidth 100x that of the current limitations.Then we head to Camera Corner where Wendy will discuss the new tilt pan camera from Sony that can make movies at a reasonable price. So Sit back, Relax, and Plug In because Hardware Addicts Starts Now! Products Discussed: - BenQ PD2700U 27 inch 4K Monitor https://amzn.to/3exvJst - Ducky Keyboard https://amzn.to/3RMRJOf - Lightmatter https://lightmatter.co/