『AI Snacks With Romy & Roby: Democratizing AI Technologies』のカバーアート

AI Snacks With Romy & Roby: Democratizing AI Technologies

AI Snacks With Romy & Roby: Democratizing AI Technologies

著者： Dr. Anastassia Lauterbach: Democratizing AI Expert
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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.Copyright 2024
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  • EP 79: Digital Twins and the AI Revolution in Healthcare with Andree Bates, Part 1

    EP 79: Digital Twins and the AI Revolution in Healthcare with Andree Bates, Part 1
    2026/06/15
    In Part 1 of this two-part conversation, Anastassia and Dr. Andrée Bates take the concept of digital twins from its industrial roots — NASA rockets and GE power plants — all the way into the human body. Andrée unpacks what a true clinical-grade digital twin actually requires (individuation, credibility evidence, uncertainty quantification, and regulator-aligned analytical roles), and why many things called "digital twins" in healthcare today are really just well-marketed predictive models. The conversation travels through clinical trials, rare disease drug development, AI-assisted drug repurposing, and lands in genuinely mind-expanding territory: brain cells powering server farms, a non-invasive headband restoring speech to paralyzed patients, and the bold thesis that AI alone is not enough — that medicine needs physics embedded into its models.Key Takeaways:A real digital twin has three parts: a physical reference (the human), a virtual representation, and a live data link that continuously updates — without all three, it's just a predictive modelSynthetic control arms are already FDA- and EMA-accepted in clinical trials, especially for rare diseases where putting patients in a placebo arm would be unethical[1]Clinical-grade digital twins require four properties: individuation, formal verification/validation for regulators, calibrated uncertainty quantification (not point estimates), and a regulator-aligned statistical analysis planThe FDA approved digital twins for clinical trials in late 2022AI alone is insufficient for drug development — despite ~$20 billion invested, no AI-discovered drug has reached market yet; physics-based modeling ("world models") is the missing layerAI excels at drug repurposing, demonstrated powerfully during COVID with baricitinib and atazanavir identified from existing approved drugs8,000 rare diseases exist, but only ~100 have treatments — AI-driven matching of existing drugs to rare disease profiles is a massively under-leveraged opportunityFull-body digital twins remain a decade+ away due to the complexity of organ-system interaction and computational cost — individual organ twins are mature, but integration is the hard problemGuest Bio — Dr. Andrée BatesDr. 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. Chapters:00:00 The Emergence of Digital Twins in Medicine03:03 Understanding Digital Twins: Definition and Applications10:09 Digital Twins in Clinical Trials: A New Paradigm10:17 Dynamic Systems and AI in Drug Development39:53 Leveraging AI for Drug Repurposing41:38 Regulatory Landscape for AI and Digital Twins42:45 Exploring the Digital Twin Concept43:51 Regulatory Landscape and AI in MedicineHyperlinks:LinkedIn Dr. Andree BatersCorporate Website EularisAI in Pharma — search on Spotify/Apple Podcasts (220+ episodes)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
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    45 分
  • 78: AI Costs & the Future of Tech Finance with Carmen Li

    78: AI Costs & the Future of Tech Finance with Carmen Li
    2026/06/08
    Most conversations about AI focus on models, capabilities, and use cases. This episode goes into the financial planning and plumbing underneath the entire AI economy. Anastassia sits down with Carmen Li — a former Bloomberg and Citi executive turned founder — to unpack GPU compute cost volatility. Every AI application, every model inference, every startup scaling its product runs on compute — and yet there is almost no financial infrastructure to benchmark, price fairly, or hedge against the wild swings in GPU costs.Carmen built the world's first GPU compute index, published it on the Bloomberg Terminal within months of founding Silicon Data, and is now building Compute Exchange — a marketplace where compute can be traded as transparently as oil, electricity, or any other commodity. Together, Carmen and Anastassia explore why compute is not just a cost but a strategic resource, why AI companies are flying blind without proper risk management tools, how geopolitical tensions are bifurcating the global chip market, what the rise of open-source models means for European and mid-sized businesses, and how Carmen raised $5.6 million without a pitch deck. A masterclass in the economics behind the AI revolution.Chapters:00:04 Introduction — GPU Compute: The Wild West of AI Finance02:18 Carmen Li and The Trillion-Dollar Blind Spot02:50 Why Compute Needs the Same Infrastructure as Oil and Energy04:33 AI Runs on Compute, and Compute Costs a Fortune05:39 Carmen's Journey — From Trading Floors to Silicon Valley08:01 The Problem: GPU Cost Volatility Is Breaking AI Startups11:07 Vision for the Future — Compute CapEx Over 10–15 Years11:50 The GPU Compute Index on Bloomberg and What's Launching Next13:37 The LLM Expenditure Index — Token Costs Are Actually Rising 38%16:16 Compute as Strategic Resource — Not Just a Cost Line18:00 Semiconductor Industry and their insights22:39 Open Source vs. Closed Source Models — Who Controls the Infrastructure?23:52 Insights for Business Analysts Following the Semiconductor Space26:16 Systemic Risk in AI — Why Risk Transfer Is the Missing Infrastructure27:44 Raising $5.6M Without a Pitch Deck — Carmen's Fundraising Story31:26 What's Next — Milestones, Markets, and New Products in 18 MonthsHyperlinks:Carmen Li LinkedInSilicon Data WebsiteCompute Exchange WebsiteAnastassia 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
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    36 分
  • 77: Can Humans Compete With Machines? Part 2, with Dr. Vivienne Ming, the 'Mad Scientist'

    77: Can Humans Compete With Machines? Part 2, with Dr. Vivienne Ming, the 'Mad Scientist'
    2026/06/01

    What happens to human intelligence when AI delivers answers instantly? In Part 2 of our deep-dive with Dr. Vivienne Ming—theoretical neuroscientist and one of today's most original thinkers on artificial intelligence and human potential—we explore the neuroscience behind AI-human collaboration, the research on cognitive dependency, and the uncomfortable truth most AI conversations avoid. Perfect for anyone curious about how to harness AI without outsourcing your own thinking.


    We cover Vivienne's prediction study, where 90% of participants who used AI gained nothing from it — and some got worse. We talk about the small group who became something different: cyborgs. Humans whose decisions couldn't be attributed to the person or the machine alone, and who outperformed both. What predicted it wasn't the AI model they used. It was curiosity, intellectual humility, fluid intelligence, and perspective taking.

    We also get into what's broken in leadership, why schools are optimizing for the wrong thing, and why the organizations that will matter in an AI-saturated world are the ones willing to invest in human capital that can't be benchmarked.

    This is not a conversation about tools. It's a conversation about what kind of humans we're building — and whether we're paying attention.


    Key Takeaways:


    The cyborg experiment — and what predicted hybrid intelligence

    Well-posed vs. ill-posed problems: when AI helps and when it makes you worse

    The GPS analogy and what over-reliance actually does to the brain

    What curiosity, resilience, and perspective taking have to do with AI

    What's really broken in corporate leadership

    How Vivienne learns — and why she stopped preparing for talks


    Dr. Vivienne Ming is a neuroscientist, entrepreneur, and author. She’s the co-founder and chief scientist of Dionysus Health, applying machine learning and epigenetics to postpartum and perimenopausal depression. She’s also co-founder and executive chair of The Human Trust, an independent nonprofit data trust advancing research in human development while protecting individuals’ data. Dr. Ming sits on numerous boards including neurotech startup Optoceutics, UC Berkeley’s Neurotech Collider Lab, UC San Diego’s Cognitive Science Department, and the Kennedy Family Human Rights Center. She is an honorary professor at University College London’s Global Business School for Health.


    Haven't heard Part 1 yet? Start there — Vivienne walks through how AI actually works, what it gets right, and what it quietly gets wrong.


    Chapters:


    00:00 Introduction: Education and Responsible AI Use

    08:24 The Impact of AI on Cognitive Functioning

    11:29 Understanding Hybrid Intelligence and Cyborgs

    14:21 Transforming Education for the AI Era

    17:15 The Complexity of Human Intelligence

    26:08 Navigating Leadership in the Age of AI

    42:03 Conclusion: The Value of Exploration and Leadership

    45:06 The Future of Human Development and AI


    Guest links:


    socos.org

    BlueSky profile

    LinkedIn profile

    Book: Robot-proof by Vivienne Ming


    Anastassia’s hyperlinks:

    

    @romyandroby

    “Leading Through Disruption”

    AI Edutainment
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    46 分
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