AI Snacks With Romy & Roby: Democratizing AI Technologies

Dr. Anastassia Lauterbach: Democratizing AI Expert

AI Snacks with Romy&Roby is a podcast that translates AI and robotics technologies from complex scientific concepts into easy-to-understand discussions, making them accessible for teens, parents, teachers, and anyone curious about AI. Through real-world stories and expert interviews, the show is dedicated to democratizing AI knowledge and empowering the general population to understand how AI is developed and applied in everyday life. The podcast is part of the Romy&Roby and AI Edutainment universe.

  1. 10h ago

    87: Klara and the Sun Explained: Ishiguro's AI, Love & Sacrifice (Before the Movie) — with Rae Muhlstock

    Summary: Anastassia is joined by Professor Rae Muhlstock for a close reading of Kazuo Ishiguro’s Klara and the Sun — a Nobel laureate’s quiet, devastating novel narrated by an AI, and soon a major film directed by Taika Waititi, starring Jenna Ortega and Amy Adams. Dr. Rae Muhlstock is a Teaching Professor in the Writing and Critical Inquiry Program at the University at Albany (SUNY). She holds a PhD from the University at Buffalo, specializing in 20th and 21st century fiction, film, and narrative theory, and teaches a beloved course on AI, science fiction, and philosophy. Her published work spans the Classical myth of the labyrinth. She chairs the annual WCI Film Festival in Albany. This episode is part of our ongoing series “AI Through the Lens of Storytellers,” in which Anastassia and Rae discuss portrayals of AI in books and movies — from Ex Machina and Her to Data in Star Trek and After Yang — because these stories shape our expectations about AI technologies. And because art is an experiment: a way for thinkers to explore future scenarios that can’t be tested in labs. Key Takeaways: Klara is three archetypes in one. The perfect, willingly self-erasing servant; the worshipper who builds a private theology around the Sun; and the doppelgänger — a double whose purpose raises an ethical horror the novel only slowly reveals. Sacrifice may be a benchmark of life. Klara’s sacrifice is arguably the purest in the book because it comes from love without societal pressure. The most human character is the AI. Ishiguro’s humans are trapped in systems and status; it is Klara who models feeling, connection, and grace. AI in the real world is drifting toward religion. With institutions of enormous power, apostles, heretics, prophecies of doom, and millions of followers, today’s AI discourse mimics the structure of a religious movement. Keep your agency. Today’s AI mimics; it does not understand, reason, or learn from counterfactuals. Fiction is how thinkers experiment. Scientists experiment in labs; philosophers and artists experiment through stories. Chapters: 00:04 — Welcome to the storytellers series: From Ex Machina, Her, Star Trek, and After Yang to Ishiguro’s quietest, most devastating AI. 02:24 — Klara goes to Hollywood: The upcoming Taika Waititi film with Jenna Ortega and Amy Adams — and what a Nobel laureate’s AI meditation becoming a studio production says about our cultural moment. 03:19 — The plot (and why it’s the least interesting thing): Rae on Ishiguro’s “quiet science fiction,” first-person narrators, and the reader who always knows both more and less than Klara. 07:34 — Three faces of Klara: The perfect slave, the worshipper of the Sun, and the doppelgänger — archetypes, ethical horror, and a hierarchy of machines. 12:44 — Sacrifice as a sign of life: What Klara, Data, and The Creator suggest about love, agency, and the line between performing and being. 19:14 — Is AI becoming a religion?: Churches, apostles, heretics, and cults in today’s AI discourse — and Capaldi, the man who doesn’t believe in the human soul. 29:27 — Keep your agency: Why AI mimics rather than understands, the missing math of counterfactuals and causality, and the “chosen ones” narrative of AI builders. 36:42 — Fiction as an experiment — and the classroom: Checking ChatGPT’s math, cheating smart vs. cheating dumb, hidden environmental costs, and why we must always ask why. Hyperlinks: Rae Muhlstock University at Albany faculty profile LinkedIn Anastassia Lauterbach - LinkedIn First 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 Edutainment The AI Imperative Book Romy & Roby Book Substack

  2. Aug 4

    86: AI Changing Medical School with Dr. Marschall Runge on the Future of Doctors

    Dr. Marschall Runge returns for a second conversation, this time about the people who will practice medicine next.  Marschall S. Runge, MD, PhD, is a practicing cardiologist who spent a decade as executive vice president for medical affairs at the University of Michigan, dean of the Medical School, and CEO of Michigan Medicine — running one of America's largest academic health systems while continuing to see patients. He earned his PhD in cardiovascular molecular biology at Vanderbilt and his MD at Johns Hopkins, where he also completed his internal medicine residency, followed by a cardiology fellowship at Massachusetts General Hospital. He now leads a Michigan cohort combining epigenetic aging clocks, mitochondrial inheritance, cardiorespiratory fitness, and chronic inflammation in a single dataset. He has authored more than 195 peer-reviewed papers and holds five healthcare patents. A third nonfiction book, on epigenetic clocks and biological aging, is in development with Forbes Books, alongside a forthcoming Substack (The Longevity Switch) and a University of Michigan MOOC on epigenetics and aging. Chapters 00:00 Introduction and guest overview 01:12 AI's role in healthcare transformation 04:01 AI as a valuable assistant in medicine 05:08 Redefining medical curriculum for AI era 09:34 Openness of medical institutions to AI 11:47 Changing accreditation and certification with AI 16:08 Leadership in AI adoption in healthcare 18:39 International perspectives on AI in medicine 19:13 AI's impact on radiology and diagnostics 21:46 AI in clinical workflows and operations 24:49 The evolving role of nurses with AI 30:37 Digital twins and clinical trials 33:18 Transition period and future outlook Hyperlinks: The Great Healthcare Disruption: Big Tech, Bold Policy, and the Future of American Medicine (Forbes Books, 2025) — USA TODAY Best-Seller and Global Book Awards Gold Medal winner. An insider's account of the forces reshaping American healthcare.  Coded to Kill (Post Hill Press, 2023) — a techno-medical thriller. Amazon author page Dr. Runge Website OpenEvidence — the physician-only clinical AI Runge calls superb  University of Michigan Medical School U-M Center for Academic Innovation  Anastassia Lauterbach - LinkedIn First 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 Edutainment The AI Imperative Book Romy & Roby Book Substack

  3. Jul 27

    85: Can AI Find New Problems, Not Just Answers? with Matthias Röder (Beyond Human Series, #4)

    Summary AI is extraordinary at finding answers. But who finds the problem? In the 4th of our Beyond Human series, Anastassia and Matthias Röder go after a question: can an AI formulate a genuinely new problem, or is it forever confined to solving the ones we hand it? Dr. Matthias Röder is a music and technology strategist based in Salzburg, and one of the most consistently original thinkers on creativity and machines that we know. He is a former Managing Director of the Eliette and Herbert von Karajan Institute and a board member of the Karajan Foundation, as well as a trustee of the Mozarteum Foundation. He is co-founder and managing partner of The Mindshift, a consultancy on creative leadership and innovation strategy. Matthias directed the Beethoven X project, the AI-assisted completion of Beethoven's Tenth Symphony, work that earned an Effie Bronze. He founded the Karajan Music Tech Conference in 2017 and launched the Classical Music Hack Day series in 2013. He holds a PhD in music from Harvard University and is an alumnus of the Mozarteum University Salzburg. His work has been recognized with the "Game Changer" award of the Salzburg Chamber of Commerce. Chapters 00:01 Welcome, and the question behind the episode: can AI formulate problems, not only answer them? 01:48 In music, the problem is the composition — why framing the question is the hardest creative act 03:17 35 million papers, 4,000 a day: PubMed, AlphaFold, and what no human can read 05:58 GNoME and 2.2 million crystals — when the hypothesis machine outruns the laboratory 09:09 World models, physical intuition, and the questions AI does not know to ask 11:36 A map of all unsolved problems: knowledge graphs as an orchestration engine 15:16 Progress without consensus — why agreement may be the most expensive thing we do 17:24 Theory of mind, Belle and Rock Experiment, and why your chatbot keeps telling you that you are a genius 24:20 Context contamination, hallucinations, and professional AI hygiene 30:50 Organizational elasticity, the 2×2 of known and unknown, and three papers worth your time Papers mentioned in the episode: Towards Scientific Discovery with Generative AI: Progress, Opportunities and Challenges — a survey of AI across the full scientific discovery cycle, from literature analysis and brainstorming through theory refinement, experimental design and data-driven discovery. The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence — an ambitious argument that AI is approaching the ability to close the scientific loop autonomously, from hypothesis generation through experimental design to validation. Machine Learning as a Tool for Hypothesis Generation — a procedure for generating hypotheses from high-dimensional behavioural data and testing them on held-out human subjects, grounded in economics and behavioural science. Also referenced: DeepMind's AlphaFold and GNoME; AI Feynman and the rediscovery of fundamental physics equations from data alone; Yann LeCun on world models; Jorge Luis Borges, The Library of Babel. Hyperlinks: Anastassia Lauterbach - LinkedIn First 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 Edutainment The AI Imperative Book Romy & Roby Book Substack

  4. Jul 21

    84: Music, AI & the Future of Music Promotion with Paul Loeb

    In this episode of AI Snacks with Romy & Roby, Anastassia Lauterbach welcomes Paul Loeb — entrepreneur, musician, audio engineer, and the founder of DropTrack, the world's first AI-powered music promotion platform. The conversation moves fluidly between Paul's personal journey from bedroom DJ and record label founder to tech executive at Beats by Dre, Apple, GitHub, and Ticketmaster, and the real-world mechanics of how DropTrack is changing what it means to be an independent artist in the age of AI. At its heart, this episode is about democratisation: of music promotion, of AI literacy, and of access to audiences that were previously reachable only by those with money, connections, or industry clout. Paul and Anastassia dig into the tension between AI as a creative threat and AI as an empowerment tool, explore the copyright battles reshaping the music industry, and discuss how independent artists and major labels alike need to rethink their strategies — before the window of opportunity closes. The episode closes with a call to action for conservatories and music schools: AI literacy is no longer optional for the next generation of artists. Chapters 00:00 Introduction to AI Snacks and the episode topic 00:55 The journey of music from creation to listener 01:54 Paul Loeb's background and path into music and tech 03:37 Challenges of music promotion and the birth of DropTrack 07:16 How DropTrack uses AI to match music with opportunities 11:01 Using AI for music analysis and readiness assessment 12:43 Matching music to labels, playlists, and licensing opportunities 15:21 The role of human curation and AI in discovering new music 18:30 Global reach and different strategies for artists 21:49 Disruption of traditional music industry giants 24:38 Copyright, metadata, and royalties in AI-driven music 28:24 Training AI models with existing music and copyright concerns 33:31 Common mistakes and misconceptions about AI in music 36:29 AI literacy as a crucial skill for young artists 39:27 Closing remarks and the future of AI in music About the Guest Paul Loeb is the Founder and CEO of DropTrack, the world's first AI-powered music promotion platform. He has over 20 years of experience spanning music and tech, with roles at Beats by Dre (acquired by Apple), GitHub (Microsoft), and Ticketmaster/Live Nation. He founded No Ego Records in 2010, signing over 50 artists and releasing more than 100 tracks. A USC graduate and Certified Pro Tools Expert trained under Steely Dan producer Roger Nichols, Paul also produces and DJs electronic music under the alias Really Cute Cats. He is based in Los Angeles, California.  About the Podcast AI Snacks with Romy & Roby is the AI literacy podcast hosted by Dr. Anastassia Lauterbach, Founder and CEO of AI Edutainment GmbH. Each episode transforms complex ideas in artificial intelligence into something accessible, tangible, and actionable — for educators, executives, artists, and curious humans everywhere. The podcast is available on Spotify, Apple Podcasts, and all major platforms.

  5. Jul 13

    83: The Hidden Fuel of AI: Data Lakes, CDN Analytics & Cybersecurity with Tony Falco

    Summary Anastassia sits down with Tony Falco of Hydrolix to explore one of the least-discussed but most consequential challenges in the AI era: CDN and log data. Every click, stream, and page interaction generates hundreds of log files per second. For nearly three decades, that data has been thrown away — not because it lacked value, but because storing it was prohibitively expensive. Tony brings over 30 years of experience building the internet's infrastructure, from his early days at Akamai helping Fortune 500 companies scale their websites for Super Bowl traffic, to Silicon Valley Data Science (acquired by Apple), to co-founding Hydrolix — a platform purpose-built to make petabyte-scale log data affordable, queryable, and AI-ready. The conversation moves from the very origins of the commercial internet, through the evolution of distributed databases and CDN technology, to the urgent present: a moment when AI is simultaneously generating new value from log data and being weaponised against the websites that produce it. Tony and Anastassia explore the governance gap around bots and agents, the coming convergence of cybersecurity and data strategy, and why the biggest opportunities in AI may still be hiding in data that nobody has thought to explore. Key Takeaways: Log files are the dark matter of the internet. Every interaction with a website generates hundreds of log files per second. For 26+ years, this data has largely been deleted after 90 days because of cost — but it contains the entire behavioural story of a website's audience. The economics breakthrough unlocks the AI opportunity. Hydralix was built to reduce CDN log storage costs by up to 90%. But when given the choice of cutting costs or keeping data longer, 99% of customers choose to keep the data — because the insights it holds are more valuable than the savings. AI is hungry for exactly the data that has been thrown away.  AI is also the new threat on the attack surface. Bots and agents are increasingly using AI to mimic human behavior — bypassing detection systems that relied on the predictable signatures of scripted traffic.  Intent is the new frontier. Hydralix focuses on inferring the intent of website visitors — human or bot. Normal intent (browsing, comparing, buying) can be profiled; variance from it flags bad actors. Sophisticated attackers are patient. If they know your data retention window is 90 days, they will make their next move on day 91.  The bot/agent governance gap is real and growing. Businesses have DUNS numbers. Websites have no equivalent system to identify or authenticate agents.  Don't accept the current narratives about AI. Tony's core message: it is very early. The biggest opportunities have not been taken. The biggest decisions have not been made. Curiosity and drive matter more than credentials right now. Chapters: 00:01 Introduction, Tony’s Journey 05:30 From CDNs to NoSQL to Gen AI: The Through-Line 08:47 Data explosion and the Log File problem 14:21 The Marianas Trench of Data 15:57 Understanding niche markets 16:35 Competitive landscape of data providers 19:43 Real-time correlation as the competitive advantage 21:07 Intent Analysis and Bot Detection 23:56 The Governance Gap: Bots, Agents and Identity 29:26 Advice for Young People entering the field 32:06 Machine-to-machine, bot-to-bot workflows and communication 32:50 Prometheus Moment of AI: Building tools without fully understanding the consequences 47:14 Closing Hyperlinks: Tony Falco Hydrolix Website Anastassia Lauterbach - LinkedIn First 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 Edutainment The AI Imperative Book Romy & Roby Book Substack

  6. Jul 7

    82: Digital Twins, AI Literacy & the Future of Human Potential with Manuj Aggarwal

    What if the most powerful thing AI could do is not replace human expertise — but make it infinitely scalable? In Episode 82 of AI Snacks with Romy & Roby, Anastassia Lauterbach sits down with Manuj Aggarwal, AI inventor, entrepreneur, and founder of TetraNoodle Technologies, for a wide-ranging and deeply personal conversation about intelligence — artificial and human. Manuj's story begins in a small town in India, where he dropped out of college in his first three months and spent his days working in his father's factory. A chance encounter with computers changed everything. What followed was a 30-year journey through reinforcement learning, personalised education, neuroscience, patents, and — most recently — the creation of a Digital Mind: a living AI-powered digital twin that encodes a person's knowledge, thinking patterns, and lived experience, and makes it available in real time to anyone who needs it. The conversation moves across some of the most important tensions in AI today: whether young people still need to learn mathematics and coding; whether current AI systems truly reason or merely simulate reasoning; what causality actually means for AI development; and how digital twins can bridge the gap between an experienced mentor and a fresh graduate — scaling human wisdom at a speed biology never could. Anastassia and Manuj also tackle the harder societal questions: the demographic crisis in Western economies, the coming disruption of credential-based hiring, the five-to-ten-year transition period ahead — and what it will take for humanity to emerge from that transition with more opportunity, not less. The episode closes with Manuj's personal mission: use AI to uplift 1 billion people and help 20 of them win the Nobel Prize. 00:00 Introduction and Manuj's Inspiring Journey 05:33 AI in Education: Personalizing Learning 08:22 The Role of AI in Programming and Learning 13:06 Transitioning to AI: Quality vs. Quantity 17:08 Causality and Understanding in AI 20:08 Building Digital Twins: A New Approach 26:31 AI in Hiring: Finding Human Connection 32:00 Preparing for the Future: Education and Purpose 39:26 A Vision for AI: Uplifting Humanity 39:57 Outro About the Guest Manuj Aggarwal is an AI inventor, entrepreneur, and the founder of TetraNoodle Technologies, a company at the intersection of artificial intelligence, neuroscience, and human potential. He holds four patents in AI — including one on reinforcement learning applied to personalised education — and has been published in the Mensa Research Journal. Manuj grew up in a small town in India, dropped out of college within his first three months, and built his career entirely through curiosity, self-directed learning, and a commitment to creating technology that impacts people at scale. He has studied neuroscience and psychology alongside computer science, a combination that informs his unique approach to the relationship between artificial and human intelligence. His flagship concept — the Digital Mind — is a living AI-powered digital twin that encodes a person's knowledge, thinking patterns, lived experience, and even their nervous system state, and makes that expertise available in real time to anyone who needs it. The system is deliberately model-agnostic, human-first, and purpose-driven — designed to scale human wisdom rather than replace it. Manuj's personal mission: use AI to uplift 1 billion people and help 20 of them win the Nobel Prize. Links 🔗 TetraNoodle Technologies: tetranoodle.com 🔗 LinkedIn: linkedin.com/in/manujaggarwal 🔗 YouTube / Content: youtube.com/@manujaggarwal 🔗 Twitter / X: @manujaggarwal

  7. Jun 30

    81: Artificial Intelligence and its IQ with Dr Anthony Scriffignano

    Today I am revisiting episode three. Back in April 2024, I sat down with Dr. Anthony Scriffignano, and at the time, it was simply a good conversation. Two years later, listening back, it is not just a good conversation anymore, it is a roadmap. Everything he said about hallucinations, about deepfakes, about the AGI debate, has played out almost exactly the way he laid it out. So I wanted to bring it back, not as a rerun, but as proof that some people were already asking the right questions before the rest of us caught up. This is a fantastic time to be working in AI. Use all of this amazing, democratized technology to help you address big problems. Go get a Nobel Prize! If you want to learn about AI, preorder Romy & Roby and The Secret of Sleep and join Dr. Anastassia Lauterbach on Patreon. In this stimulating episode of AI Snacks with Romy & Roby, join host Dr. Anastassia Lauterbach and esteemed guest Dr. Anthony Scriffignano, for a deep dive into the intricacies of intelligence in AI. They tackle questions on definitions of intelligence, life, and the future of language models. Dr. Scriffignano, with his expansive background in data science, shares insights on neuromorphic technology and decision-making in AI. Listen in as they explore the ethical landscape, the realities of AI's societal impact, and Dr. Scriffignano's unique concepts of decision elasticity and neosophism. Don't miss this thought-provoking dialogue that bridges AI and the essence of intelligent life. Anthony Scriffignano, Ph.D. is an internationally recognized data scientist with experience spanning over 40 years in multiple industries and enterprise domains. Scriffignano has extensive background in advanced anomaly detection, computational linguistics, and advanced inferential methods and has multiple patents worldwide in these areas. Scriffignano was recognized as the U.S. Chief Data Officer of the Year 2018 by the CDO Club, the world’s largest community of C-Suite digital and data leaders. He is a member of the OECD Network of Experts on AI working group on implementing Trustworthy AI, focused on benefiting people and planet. He has published, delivered keynote presentations, and participated in panel presentations extensively, in various settings, internationally, concerning emerging trends in AI and advanced analytics, the “Big Data” explosion, artificial intelligence applications and implications for business and society, multilingual challenges in business identity, and malfeasance in commercial and public-sector contexts. Key Topics Discussed: Defining intelligence and life implicationsChallenges in measuring AI's intelligenceImpacts of generative AI on societyAI's role in decision-making processesTimestamps: 00:00 Philosophical Perspectives on Intelligence 05:07 Anthony's Three Categories of Intelligence 07:32 The Original 2024 Conversation Begins 09:44 Measuring Machine Intelligence: IQ, Turing Test, Truth 13:43 The ChatGPT Moment and Democratization of AI 17:21 CAPTCHAs, Training AI, and Human-Machine Roles Reversed 20:14 Neuromorphic AI and the Shift to Generative AI 25:35 Three Big Questions for Building AI 27:07 What Anthony's Most Excited About 28:50 Understanding Intelligence and AI's Role 31:37 Democratizing AI Knowledge 32:57 The Importance of AI Literacy

  8. Jun 23

    80: Digital Twins and the AI Revolution in Healthcare with Andree Bates, Part 2

    Summary How do digital twins in medicine get from the lab to the patient? It all comes down to regulation, data, and trust. In this second part with Dr. Andrée Bates (CEO, Eularis), we cover the FDA Modernization Act 2022, EU AI Act conflicts with GDPR, the UK and China regulatory landscape, digital twin ownership and liability, patient-owned health data, decentralized data markets, and what it will take — technically and culturally — to make AI-powered personalized medicine real. Plus: why medical school curricula must change, and a vision of the human-AI health future. Don't miss Part 1 (EP 79) for the science and economics foundation. Key Takeaways The FDA's 2022 Modernization Act was a watershed moment — it replaced mandatory animal testing with "non-clinical" methods including in silico and cell-based models. 90% of drugs that clear animal studies never make it through human trials The EU faces a three-way regulatory conflict — the AI Act, the Medical Device Regulation (MDR), and GDPR have overlapping, partially conflicting requirements; GDPR's "purpose limitation" principle is structurally hostile to digital twins, which are by definition continuously updatedUS vs. EU regulatory philosophy in one sentence: the US is outcome-based and post-market weighted ("prove it works, monitor it"); the EU is process-based and pre-market weighted ("prove your development was rigorous first") — with real consequences for patient access timelinesChina is the one to watch — the NMPA accepts in silico evidence, data sharing is state-encouraged, and population-scale twins built on integrated health records are politically feasible in a way they are not in the WestOwnership of digital twins is unresolved Patients owning their own health data — including blockchain-based consent models where patients sell data case-by-case to pharma — is already being piloted in the US The full ecosystem for digital twins requires: multi-organ integration, quantum computing power, privacy-preserving AI (e.g. federated learning), faster regulatory qualification pathways, international harmonization, and a liability frameworkThe cultural gap is the hardest barrier — public trust in computer-tested drugs lags far behind trust in animal- or human-tested ones; the first major in silico drug recall, when it happens, will be a defining political momentMedical education must change — tomorrow's clinicians need to read computational evidence confidently; few medical schools teach this yetGuest Bio — Dr. Andrée Bates Dr. Andrée Bates is the Chairwoman, Founder, and CEO of Eularis, AI consultancy for the pharmaceutical and life sciences industry. She hosts her own podcast with over 220 episodes on AI in pharma.  00:00 Introduction to PART 2 with Andree Bates 01:35 Regulatory Landscape for AI and Digital Twins 05:22 Comparative Analysis of US and EU Regulations 10:48 Global Perspectives on AI in Healthcare 14:08 Future of Personal Data Ownership in Medicine 17:43 Innovative Business Models for Digital Twins 21:17 The Role of AI and Quantum Computing in Healthcare 27:31 Building the Future of Medicine: Preconditions and Infrastructure Hyperlinks: LinkedIn Dr. Andree Baters Corporate Website Eularis AI in Pharma — search on Spotify/Apple Podcasts (220+ episodes) Anastassia Lauterbach - LinkedIn First 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 Edutainment The AI Imperative Book Romy & Roby Book

See All (87)

5
out of 5
11 Ratings

About

AI Snacks with Romy&Roby is a podcast that translates AI and robotics technologies from complex scientific concepts into easy-to-understand discussions, making them accessible for teens, parents, teachers, and anyone curious about AI. Through real-world stories and expert interviews, the show is dedicated to democratizing AI knowledge and empowering the general population to understand how AI is developed and applied in everyday life. The podcast is part of the Romy&Roby and AI Edutainment universe.

Information