エピソード

  • 61: Digital Resurrection: The Science Behind Cryonic Dreams with John R. Carlos
    2026/02/10
    SummaryJohn Rodriguez Carlos shares his journey from a long military career to becoming a writer, discussing the inspiration behind his novel “Chronic Dreams,” which explores themes of AI, cryonics, and the nature of consciousness. He delves into the implications of digital consciousness, the complexities of intelligence, and the role of AI in shaping our future. The discussion also touches on the purpose of writing and the human motivation behind storytelling, emphasizing the importance of preparing for the future through thoughtful dialogue.John R. Carlos is a retired Royal Australian Air Force Wing Commander who served for about 42 years in a range of operational and leadership roles across Australia and on overseas deployments before retiring in 2020 and turning to fiction writing. Born in Madrid and raised in Perth, Western Australia, he later studied through associate and advanced diploma programs, then retrained in creative writing after leaving the military to pursue a long-held ambition to become an author. His bibliography at this stage centers on his debut novel Cryonic Dreams: Awakening (2025), a near‑future science‑fiction thriller and Book 1 of a planned “Cryonic Dreams” trilogy, which explores successful cryonic reanimation, global power struggles, and the ethical and political implications of controlling life and death. TakeawaysJohn's military background shaped his sense of duty and creativity.His trilogy “Chronic Dreams” explores AI and cryonics, with the first novel being already published, and the second in preparation to be released.AI's role in the future is both promising and concerning.The preservation of identity is a central theme in his work.Digital consciousness raises questions about the soul.Speculative fiction serves as a warning for future challenges.Writing is a means to find meaning and purpose in life.AI can mimic creativity but lacks true human experience.Conversations about technology are crucial for shaping our future.Chapters00:00 Introduction to cryonic technologies07:23 Journey from Military to Writing10:27 The Inspiration Behind 'Cryonic Dreams'15:40 Exploring AI and Cryonics in Fiction18:20 Digital Consciousness vs. Cryonics21:57 The Complexity of Intelligence and Consciousness24:61 AI's Role in the Future28:56 Speculative Futures and Human Progress34:46 The Purpose of Writing and Human Motivation Hyperlinks:Amazon: Cryonic dreams: Awakening bookJohn Rodriguez Carlos LinkedIn Article on Tomorrow: How Many People Are Currently Cryonically Preserved?Paper: In the End We Become Our Avatars: An Exploration of Artificial Intelligence and Digital Afterlives Anastassia Lauterbach - LinkedInFirst Public Reading, Romy, Roby and the Secrets of Sleep (1/3)First Public Reading, Romy, Roby and the Secrets of Sleep (2/3)First Public Reading, Romy, Roby and the Secrets of Sleep (3/3)AI Snacks with Romy and Roby@romyandroby“Leading Through Disruption”AI EdutainmentThe AI Imperative BookRomy & Roby BookSubstack
    続きを読む 一部表示
    39 分
  • 60: LLMs That Reason: Knowledge Graphs, Ontologies, and the Future of AI with Joe Miller
    2026/02/03
    SummaryAnastassia and Joseph Miller delve into the complexities of artificial intelligence, particularly focusing on the limitations of large language models (LLMs) and the importance of embedding causality and reasoning into AI systems. Joseph critiques the current transformer model architecture, explaining how it lacks a true understanding of causality, which is essential for meaningful interactions. He emphasizes that while LLMs can generate convincing language, they lack a world model that would enable them to reason or understand the implications of their outputs. This leads to discussions on the necessity of ontologies and knowledge graphs to provide a structured understanding of the world, enabling AI to operate more effectively in real-world contexts.The conversation also touches on the future of AI in the workplace, with Joseph expressing a somewhat pessimistic view of labor disruption from AI advancements. He believes that while AI can enhance productivity, it may also lead to significant job losses, as many roles could be automated. However, he remains hopeful about the potential for humans and AI to work together, emphasizing the need for accountability and responsibility in AI applications. The discussion concludes with reflections on the importance of AI literacy and the potential for a future in which humans and AI coexist harmoniously, leveraging each other's strengths.Joseph (Joe) Miller, PhD, is a physicist, scientist, and serial entrepreneur who serves as Co‑Founder and Chief AI Officer at Vivun, where he builds AI sales agents that embed expert domain knowledge into real‑world workflows. Before Vivun, he worked at Bridgewater Associates on expert systems for systematic decision‑making and later founded Battery CI, a quantitative FX hedge fund, and co‑founded other tech ventures at the intersection of AI, finance, and digital identity. Across his roles, Miller focuses on causal inference, world models, and knowledge‑centric AI, translating deep technical ideas into practical systems for high‑stakes enterprise environments like sales, trading, and strategic decision‑making.​TakeawaysJudea Pearl’s “The Book of ‘Why’” is a must-read to understand foundations of causality and what current AI systems lack.LLMs lack a true understanding of causality.Embedding ontologies can enhance AI's reasoning capabilities.AI's productivity gains may lead to significant job disruption.Humans must remain accountable for AI's decisions. AI makers will be liable for product issues in AI services and applications.AI literacy is crucial for navigating future challenges.Chapters00:00 Introduction to the episode: Looking into AI and reasoning LLMs03:11 Discussing two books: “Nexus” and “The Book of ‘Why’”07:36 Limitations of Large Language Models today14:50 Embedding Context with Ontologies and Knowledge Graphs into LLMs18:31 The Convergence of AI Approaches as a possible path to a reasoning AI20:52 Defining Ontologies and Knowledge Graphs25:45 Innovation Through Interdisciplinary Knowledge in AI as a necessity30:04 Dynamic Learning in LLMs34:15 ‘World Models’ and Their Impact in AI35:14 The Future of AI and Accountability, AI Ethics40:03 Human-AI Collaboration in the Workplace47:06 The Importance of AI LiteracyHyperlinks:Joe Miller and Vivun/ AI in sales:LinkedIn profileMiraCosta Alumni blog postVivun websiteAI adoption in companiesStatistics about AI in salesAnastassia:Anastassia Lauterbach - LinkedInFirst Public Reading, Romy, Roby and the Secrets of Sleep (1/3)First Public Reading, Romy, Roby and the Secrets of Sleep (2/3)First Public Reading, Romy, Roby and the Secrets of Sleep (3/3)AI Snacks with Romy and Roby@romyandroby“Leading Through Disruption”AI EdutainmentThe AI Imperative BookRomy & Roby BookSubstack
    続きを読む 一部表示
    50 分
  • 59: Kiddie Chatbots, Clone Employees, Digital You: Language AI with Rob LoCascio
    2026/01/27
    Summary:Robert LoCascio shares his journey from founding LivePerson to creating innovative AI solutions for children and adults. He discusses the importance of creativity in childhood development and the role of AI in enhancing human capabilities. Robert emphasizes the need for safe AI environments for children and the importance of teaching AI literacy to empower the next generation. He also explores the myths surrounding AI and the significance of data ownership in the age of technology.Robert LoCascio is best known as the founder and long‑time CEO of LivePerson, the company that pioneered web chat and conversational interfaces for customer service and commerce, which he led from 1995 to 2023 and grew into a multibillion‑dollar NASDAQ‑listed business. He is also a co‑founder of EqualAI, a nonprofit focused on reducing bias in AI systems, launched with leaders like Arianna Huffington and Jimmy Wales. Through his Dream Big Foundation, he created programs like FeedingNYC and the Dream Big Entrepreneurship Initiative to support vulnerable families and underserved entrepreneurs.​​Takeaways: Robert's journey from sleeping on a couch to founding LivePerson.The importance of resilience and problem-solving in entrepreneurship.AI should empower creativity in children, not replace human interaction.Understanding AI requires demystifying its capabilities and limitations.Data ownership is crucial for individuals in the age of AI.Children's creativity can be harnessed through safe AI environments.AI can replicate human qualities without replacing them.Teaching AI fundamentals is essential for future generations.The human element in technology is vital for meaningful interactions.Storytelling can enhance children's engagement with AI. Chapters:01:58 Robert LoCascio's Journey and Pivotal Moments05:00 Defining Childhood and Adulthood in the Age of AI06:58 Understanding AI: Myths and Realities10:38 The Role of Data in AI Development14:02 The Future of AI: Ownership and Creativity16:38 Technology for Children: Safe AI Experiences19:03 Humanity in AI: Bridging the Gap23:15 Navigating Childhood Development in a Digital Age25:16 The Impact of Technology on Children29:30 Fostering Creativity in Kids32:01 Data and Cultural Literacy for Children36:07 Storytelling and the Hero's Journey38:20 Global Reach and Future Vision for AI in Education39:05 AI Literacy Across GenerationsHyperlinks:Wikipedia post about Robuare.ai websitekidco.ai websiteEternos.life websiteRob's LinkedInPaper: Application of artificial intelligence in early childhood development: a scoping review protocolAnastassia Lauterbach - LinkedInFirst Public Reading, Romy, Roby and the Secrets of Sleep (1/3)First Public Reading, Romy, Roby and the Secrets of Sleep (2/3)First Public Reading, Romy, Roby and the Secrets of Sleep (3/3)AI Snacks with Romy and Roby@romyandroby“Leading Through Disruption”AI EdutainmentThe AI Imperative BookRomy & Roby BookSubstack
    続きを読む 一部表示
    41 分
  • 58: How AI is Reshaping Norway with Marion Loken
    2026/01/20
    Summary:Anastassia and Marion Loken discuss the advancements and challenges of AI in Norway, highlighting the country’s high level of digitization, trust in institutions, and historical mathematical expertise. They discuss the development of a Norwegian LLM, literacy programs at the national and corporate levels, and ethical considerations surrounding the development and use of ML and genAI technologies. Marian Loken is a visionary leader in digitalization, data analytics, and AI, currently serving as VP of Insights and Analytics at Strawberry. She has held senior roles at major organizations, including FINN.no, Schibsted Marketplaces, NAV, McKinsey & Company, and Norsk Tipping. Her leadership has been acknowledged with inclusion in Norway's Top 50 Women in Tech list for 2025, highlighting her impact on the tech industry and her commitment to empowering organizations through technology and data.Key Takeaways:In Norway, a high level of digitization, institutional trust, and math literacy foster the adoption and development of AI.Norway is one of the few countries with a large Norwegian-language model. Its development faces initial challenges, but after three years advanced.Norway follows the EU AI Act, as the country is focused on AI ethics. This includes paying attention to the engineering level of genAI technologies, where rules are set by builders and reflect their ideology and beliefs. Transparency is key to adopting genAI technologies, and it primarily concerns the engineering layer.Motor insurance is one of the early adopters of AI, offering immediate claims payouts once the insured sends a picture of the damage.Data quality is imperative to any AI program.Culture and change management are key to delivering on AI. Communicating the ‘why’ and ‘how’ around AI adoption is important to deliver on personalized technologies, e.g., addressing the gambling addiction in the national gambling industry.Trust in institutions leads to taking risks, which is positive for boosting AI adoption.Democratizing AI literacy and AI adoption beyond China and the US, addressing the climate dilemma behind current LLMs and AI based on transformers and developing applications to let people experience things through the perspectives and eyes of others are important topics to further develop AI.Chapters:00:00 Introduction to the episode, statistics about AI in Norway4:03 AI in Norway: Norwegian LLM, national policy, use of AI in public sector09:50 AI Literacy programs in Finland and Norway11:48 Demographics and AI in Norway, AI in healthcare14:14 AI funding in Norway, China and the US18:10 EU AI Act and Norway21:20 Practical compliance with the EU AI Act and genAI - addressing the engineering layer22:50 AI in motor insurance in Norway: a use case24:53 AI and personalization to address gambling addiction: a use case27:27 Preconditions to developing and growing AI in Norway: trust, math and AI Literacy programs34:14 understanding privacy: the Grok example37:08 Suggestions of topics for beneficial and safe AI development: democratization, addressing environmental burden due to current AI architectures, AI enabling seeing the world through someone else’s eyesHyperlinks:Marion Loken:LinkedIn profileSessionize profileNDC conferenceRankMyAI: AI Report Norway 2025Anastassia:Anastassia Lauterbach - LinkedInFirst Public Reading, Romy, Roby and the Secrets of Sleep (1/3)First Public Reading, Romy, Roby and the Secrets of Sleep (2/3)First Public Reading, Romy, Roby and the Secrets of Sleep (3/3)AI Snacks with Romy and Roby@romyandroby“Leading Through Disruption”AI EdutainmentThe AI Imperative BookRomy & Roby BookSubstack
    続きを読む 一部表示
    42 分
  • 57: AI & Learning How to Learn and Stay Human with Dr. Brian E. Arnold
    2026/01/13
    Dr. B discusses the evolution of knowledge retention in education, emphasizing the shift from memorizing information to learning how to learn, particularly in the context of AI's role in modern education. He highlights the importance of teaching critical thinking and the ability to discern truth in an age where information is readily available at our fingertips.Dr. Brian E. Arnold is an educator, leadership coach, and entrepreneur who began his academic journey as a special education student and went on to earn a doctorate in Educational Leadership. A former world‑class athlete, he has served as a teacher, college professor, and administrator, and now works as a mortgage loan officer and leadership consultant. He is the founder of the Journey to Freedom initiative (for Black men’s success), The Remote Assistant Pros (a virtual staffing firm), and Metro Funding Group (helping families with estate planning). Brian is also a speaker, chaplain, and deeply involved in community service, especially around housing, education, and racial equity.Dr. Brian E. Arnold podcasts focused on personal growth, leadership, and living with purpose:​ The Journey to Freedom Podcast and Living Boldly With Purpose.Dr. Arnold’s last book is titled “Relationship vs. AI: How to Stay Human in the Age of Artificial Intelligence”. He explores how AI is changing the way people connect, communicate, and create, and offers practical guidance on using AI to enhance (not replace) human relationships, creativity, and purpose. TakeawaysWe have transitioned from ‘needing to know everything’ to ‘learning how to learn.’Kids today don't need to retain knowledge as we did in the past.The availability of information through devices changes educational needs.We are not teaching children how to find and test information.Critical thinking skills are essential in the digital age.Understanding relationships with technology is crucial for modern learners.Memorization is less important than the ability to learn.Education must adapt to the realities of information access.AI serves as a tool to enhance learning, not replace it.Chapters00:00 Introduction to Dr. B.and the podcast01:28 The book “Solaris” and human quest to find mirrors instead of alien civilizations10:28 Dr. B's Personal Journey16:28 The Role of Technology23:28 AI and Human Relationships28:28 Philosophical Reflections on AI34:28 Community and Connection20:28 Future of AI and EducationHyperlinks:Brian Arnold WebsitePodcast The Journey To FreedomPodcast Living Boldly With Purposehttps://podcasts.apple.com/us/podcast/living-boldly-with-purpose/id1789815699Brian Arnold’s BooksAnastassia Lauterbach - LinkedInFirst Public Reading, Romy, Roby and the Secrets of Sleep (1/3)First Public Reading, Romy, Roby and the Secrets of Sleep (2/3)First Public Reading, Romy, Roby and the Secrets of Sleep (3/3)AI Snacks with Romy and Roby@romyandroby“Leading Through Disruption”AI EdutainmentThe AI Imperative BookRomy & Roby BookSubstack
    続きを読む 一部表示
    37 分
  • 56: Signals and Sensemaking: Human Edge in AI-Powered Trading with Afshin Moshrefi
    2026/01/06
    Summary In this episode, Afshin Mashrefi emphasizes approaching financial markets as an engineer rather than as a Wall Street traditionalist: define behavior, measure it rigorously across regimes, and only then ship tools that help humans decide. He explains how TradeWave’s AI infrastructure ingests long‑run market data, normalizes it, and uses pattern‑detection and seasonality models to surface high‑probability periods and setups, while still keeping outputs deterministic and reproducible so traders can audit why a given pattern appears. Throughout the dialogue, both he and Anastassia stress that “humans still set the pattern, AI helps size the odds”: algorithms can rank historical tendencies and flag anomalies, but risk, position sizing, and the decision to act remain squarely with the human trader and leader. Afshin Moshrefi’s thinking around the 100‑Year Pattern begins with a simple question: are widely repeated “seasonal” stories about markets backed by real data, or are they just trader folklore? To answer it, he spent years building his own data engine, running nearly a century of S&P 500 history—close to a trillion data points—through systematic seasonality tests and election‑cycle analysis, eventually isolating a long‑horizon pattern that explains a disproportionate share of index returns. In his framing, the 100‑Year Pattern is less a magic formula and more a probabilistic map: a recurring October‑to‑September window within the four‑year presidential cycle that historically outperformed simple buy‑and‑hold by a large factor, plus a family of related seasonal setups traders can use as scaffolding for decisions.Afshin Moshrefi is a data scientist, inventor, and entrepreneur focused on applying AI and pattern recognition to financial markets. He is the founder and CTO of TradeWave AI. This platform turns long‑term market seasonality and trillions of historical data points into tradable “patterns” for options and equities traders. Trained as an engineer (M.S. in Electrical Engineering with a focus on statistical physics), he has spent decades building AI‑driven products across telecom, healthcare, IoT, and trading. He holds multiple patents in proactive user interfaces, media recommendations, and crowdsourced problem-solving.He is also the author of The 100‑Year Pattern, an Amazon #1 new release that argues long‑horizon market seasonality can be quantified and used as a probabilistic “map” for traders, with AI helping to surface and size those recurring patterns.Key Takeaways:Investors can achieve significant success by applying the seasonality hypothesis to their trading.A solid scientific foundation is key before deploying an AI and automation platform. Chapters:1:22 Afshin's path into AI-powered trading3:46 Physics as a statistically driven discipline; AI roots in statistics5:21 Randomness of technical financial analysis vs fundamental analysis of companies' health, and why excellent outcomes can't exist without fundamental analysis9:27 What constitutes the 100-year pattern?12:12 Discovery of the pattern14:40 TradeWave as a research platform18:17 AI vs. data science20:18 History of working with seasonality24:05 Scientific concept came first, building the platform happened second27:38 Overreliance on AI in trading and trading automation: pitfalls and issues30:14 AI agents as a team of capable workersHyperlinks:Afshin Moshrefi LinkedInTwitter/XWebsite TradeWaveBookAfshin About His BookAnastassia Lauterbach - LinkedInFirst Public Reading, Romy, Roby and the Secrets of Sleep (1/3)First Public Reading, Romy, Roby and the Secrets of Sleep (2/3)First Public Reading, Romy, Roby and the Secrets of Sleep (3/3)AI Snacks with Romy and Roby@romyandroby“Leading Through Disruption”AI EdutainmentThe AI Imperative BookRomy & Roby Book
    続きを読む 一部表示
    34 分
  • 55: AI to Laugh, Listen, and Collaborate in Creative Industries with Victor Varnado (Part Two)
    2026/01/01
    Summary:In the last episode of the year 2025, Victor shares his multifaceted journey as a comedian, filmmaker, cartoonist, and entrepreneur. He discusses his unique perspective on life, emphasizing simplicity and logic, and how these principles guide his creative endeavors. Victor elaborates on his innovative writing coach tool designed to assist neurodivergent individuals, and his efforts to integrate AI literacy in schools. The discussion also touches on the role of AI in creativity, the importance of reasoning and communication, and Victor's experiences with cartooning for The New Yorker. The conversation concludes with reflections on the future of AI in society and education.Takeaways:Victor describes himself as an amalgam of his childhood interests.He believes life has simple answers based on logic.Victor creates things he enjoys, aiming to help others.Victor's newsletter is a self-sustaining source of income. Its secret lies in combining engaging video games with the subscription model, keeping people interested and letting them enjoy the experience.Victor's Magic Bookifier platform includes a writing coach, enabling users to deliver a first draft of their books or essays and helping them get started with tailored questions.Cognitive offload vs. cognitive discourse is crucial for learning, and both can be addressed with AI.Victor engages with schools to promote AI literacy.He sees a need for knowledgeable AI professionals in education.Victor's first cartoon for The New Yorker took a year to publish. One should never give up while pursuing a creative endeavor. Talent wins.Victor believes AI can enhance creativity if used as a tool, not as a substitute for human skills.Organizations and schools should have someone knowledgeable about AI technologies who can pilot them and move from there to more specialized applications.Chapters:00:00 Introduction to the Episode02:16 Victor's Multifaceted Journey05:02 Understanding Life Through Logic07:54 Creating for Joy and Simplicity10:07 Building a Self-Sustaining System of Income: Videogames in a Newsletter13:58 The Writing Coach and Cognitive Offload18:53 Engaging with Schools and AI Literacy23:41 The Role of AI in Education27:54 The Art of Cartooning and Humor31:05 AI's Impact on Creativity35:35 Designing AI Literacy Courses38:13 The Future of AI in Society Hyperlinks:Wikipedia Victor Varnado Company (Supreme Robot Pictures) Magic Bookifier (main site) Six Unseemly Questions (hosted by Victor) Cartoon Caption Contest Podcast – “Episode 203 – Victor Varnado” “AI for All of Us: Using AI in Everyday Life and Business (Even If You Think It’s Dumb)”Anastassia Lauterbach - LinkedInFirst Public Reading, Romy, Roby and the Secrets of Sleep (1/3) First Public Reading, Romy, Roby and the Secrets of Sleep (2/3) First Public Reading, Romy, Roby and the Secrets of Sleep (3/3) AI Snacks with Romy and Roby@romyandroby “Leading Through Disruption”AI EdutainmentThe AI Imperative BookRomy & Roby Book
    続きを読む 一部表示
    39 分
  • 54: Attention Is All You Secure: AI and Cybersecurity Risk Management with Alec Crawford
    2025/12/23
    SummaryAlec Crawford and Anastassia discuss the intersection of AI, cybersecurity, and regulatory compliance in the context of data and digital technologies. Alec shares insights on AI risk governance, the importance of data literacy, and the evolving landscape of cybersecurity threats. They explore the role of AI in combating cybercrime, the challenges of underwriting and pricing cybersecurity risks, and the need for centralized AI governance within organizations. Alec emphasizes the importance of training and change management in AI adoption. Alec is the founder and CEO of Artificial Intelligence Risk, Inc., a platform focused on AI safety, security, and compliance for enterprises. A former Chief Risk Officer and senior risk executive at major investment firms, he now advises boards and financial institutions on how to balance the risks and rewards of AI. He writes the AI Risk Reward / STAYblog newsletter on Substack and hosts the AI Risk Reward podcast, where he explores use cases, governance challenges, and the broader societal impacts of artificial intelligence. His work lies at the intersection of sustainability, technology, and risk management, with a particular focus on securely integrating high‑risk AI systems into heavily regulated sectors such as banking and wealth management.​ Takeaways AI is crucial in combating cybercrime. Today, you fight AI with AI.Data literacy is essential for AI adoption.Cybersecurity insurance is evolving, but still behind. Cybersecurity insurers offer discounts to companies that use best-in-class risk management tools, as motor insurance providers did decades ago when first alarm systems emerged. Cybersecurity risk is complicated to quantify.AI governance is necessary for organizational safety.Training and change management are key to the success of AI projects. Regarding the 95 percent of failed AI pilots, the issue is a lack of change-management skills and processes, not the technologies.Cybercriminals are iterating faster than defenders. Their "businesses" operate much like traditional companies, with work schedules, reward systems, and related structures.AI can help focus attention on critical cybersecurity alerts.Decentralized AI requires centralized control for safety.Cybersecurity threats are becoming more sophisticated. Cybercriminals also exploit traditional bug bounty programs at large software companies to identify and exploit vulnerabilities.Companies and individuals will significantly benefit from AI. AI can revolutionize personalized healthcare and accelerate significant scientific discoveries. But all this will come at a cost, as cybercrime grows and is already the third-largest economy in the world after the US and China, if we were assessing it using the same metrics as a national economy.Chapters03:16 Introduction to AI and Cybersecurity06:01 The Impact of AI on Cybercrime08:35 Fighting AI with AI in Cybersecurity10:35 The Evolution of Cybersecurity Insurance12:54 Quantifying Cybersecurity Risks14:10 Data Literacy and Governance in AI16:43 The Role of Change Management in AI Adoption18:51 Centralized vs. Decentralized AI Governance21:21 The Future of AI and Cybersecurity22:02 Real-Life Cybercrime Stories24:24 The Business of Cybercrime27:24 Due Diligence in Cybersecurity28:48 The Shift Towards Hybrid Systems31:11 Global Cybersecurity Regulations33:04 Optimism vs. Caution in CybersecurityHyperlinksArtificial Intelligence Risk, Inc.AI Risk Reward / STAYblog (Substack)AI Risk Reward podcast (Apple Podcasts)AI Risk Reward podcast (Spotify)​LinkedIn Alec CrawfordX (Twitter) Alec CrawfordAnastassia Lauterbach - LinkedInFirst Public Reading, Romy, Roby and the Secrets of Sleep (1/3)First Public Reading, Romy, Roby and the Secrets of Sleep (2/3)First Public Reading, Romy, Roby and the Secrets of Sleep (3/3)AI Snacks with Romy and Roby@romyandroby“Leading Through Disruption”AI EdutainmentThe AI Imperative BookRomy & Roby Book
    続きを読む 一部表示
    35 分