Summary:

In this episode, Anastassia and Rae continue their series of podcasts about portrayals of AI and Robotics in the world literature and movies. Exploring how writers and filmmakers perceive AI is important, as books and science fiction films contribute to the public’s perception of AI technologies and shape our expectations of future scenarios involving AIs.

Rae Muhlstock teaches writing, literature, and film at the University at Albany, New York. She serves as chief organizer for the WCI Film Festival and the CHATS Film Festival and Lecture Series, fostering dialogue on critical issues through cinema, scholarship, and experiential education.

Anastassia and Rae delve into the complex themes surrounding AI, particularly through the lens of the film Ex Machina. They explore the ethical implications of AI development, the dichotomy between optimism and dystopia, and the nature of creation and power dynamics. The conversation also explores human agency, the impact of nature and nurture concepts on AI development, and the future of AI in relation to humanity. The hosts emphasize the importance of diversity in AI ethics and conclude with reflections on the potential paths forward for AI and human coexistence.

Takeaways:

AI literacy is essential for families today.

Ex Machina presents a darker view of AI compared to other films, e.g., “Her.”

The AI alignment problem raises ethical questions about creation.

Optimism in technology can coexist with dystopian fears.

Human agency is a critical factor in AI development.

Isolation can influence AI's understanding of freedom.

The Turing test now includes emotional manipulation.

The environment shapes AI's development and understanding.

Diversity in AI ethics is crucial for a balanced future.

The future of AI is intertwined with human choices.

Chapters

00:00 Introduction to AI and Fiction

01:00 Exploring Ex Machina and AI Alignment

05:55 Optimism vs. Dystopia in AI

10:32 The Nature of Creation and Human Agency

14:47 Frankenstein and Playing God

20:22 Technology and the Cave Analogy

25:27 The Human-AI Relationship: A Historical Perspective

27:01 Manipulation and Emotion in AI

29:17 Isolation and Learning in AI Development

31:26 Gender Dynamics in AI Creation

33:18 The Future of AI: Scenarios and Speculations

35:05 Optimism vs. Pessimism in AI's Impact on Humanity

38:11 Diversity in AI Development and Its Implications

40:58 The Role of Power and Humility in AI Ethics

Useful Links:



@romyandroby

“Leading Through Disruption”

AI Edutainment

In this episode, Anastassia discusses AI in education with Olli-Pekka Heinonen. Olli-Pekka is a Finnish politician, public servant, and educational leader. He served as Finland's Minister of Education from 1994 to 1999, and later as Minister of Transport and Communications from 1999 to 2002. Heinonen advanced reforms focused on educating the whole person and preparing students with transversal competencies and 21st-century skills, not just subject-specific knowledge. The aim was to equip students to navigate an increasingly complex and unpredictable future. Heinonen is a member of the National Coalition Party and holds a Master of Laws from the University of Helsinki. In addition to his political roles, he was Director General of the Finnish National Agency for Education from 2016 to 2021. He held leadership positions at the Finnish national broadcasting company, Yleisradio. Since 2021, Heinonen has been the Director General of the International Baccalaureate (IB) Organization.

Follow Anastassia's work focused on AI Literacy:

AI Snacks with Romy and Roby

@romyandroby

“Leading Through Disruption”

AI Edutainment

Episode's Takeaways:

AI is becoming a factor in education.

In Finland, AI courses are being provided not only in schools but across society to enhance technology literacy and make everyone better equipped for future jobs.

The IB system is a model that emphasizes inquiry-based learning and global-mindedness, allowing students to explore and connect big concepts rather than just acquiring subject knowledge.

Finland's success in education is attributed to cultural values that prioritize education, a strong library system, and high esteem for teachers, as well as a merit-based system that attracts the best students into pedagogy.

AI realism is needed to prevent outrageous claims about AI capabilities today (e.g., LLMs are bringing about AGI or self-driving cars are mature and scalable technologies today), while also being optimistic about the development of AI and robotic technologies without over-regulating these.

Implementing AI in education is not without challenges, such as systemic integration and societal attitudes, and studying the impact of AI and further digital technologies on the cognitive skills of students.

We need technology to connect humans rather than isolate them.

Chapters

0:00 - 1:30 Introduction to AI Snacks: Dr. Anastassia Lauterbach introduces the podcast, "AI Snacks with Romy and Roby," and sets the stage for the episode's focus on AI and robotics in education.

1:31 - 3:00 Guest Introduction: Introduction of Olli-Pekka Heinonen, Director General of the International Baccalaureate Schools, highlighting his background and contributions to education.

3:01 - 7:00 The Finnish Education Model: Discussion on Finland's approach to education, literacy, and the integration of AI in society, emphasizing the cultural and systemic factors that contribute to its success.

7:01 - 10:00 International Baccalaureate System: Overview of the IB programs, focusing on their inquiry-based learning approach and global-mindedness, and how they differ from national educational systems.

10:01 - 14:00 AI Literacy and Education: Exploration of AI literacy initiatives in Finland and the role of AI in the IB system, including challenges and opportunities in implementing AI in education.

14:01 - 18:00 Challenges and Opportunities with AI: Discussion on the societal attitudes towards AI, the systemic integration of new technologies, and the collaboration between Finland and Estonia in technological innovation.

18:01 - 22:00 The Future of Education: Olli-Pekka Heinonen shares his vision for the future of education, focusing on agency, identity, and community, and his three wishes for the IB and education in general.

22:01 - 24:00 Closing Remarks: Dr. Anastassia Lauterbach wraps up the episode with a call to action for listeners and shares personal updates and future plans for the podcast.

In this episode of AI Snacks, Anastassia interviews Matthias Röderer, exploring the intersection of AI and the music industry.

Dr. Matthias Röder is an award-winning music and technology strategist, renowned for his innovative leadership in the intersection of music, technology, and creative entrepreneurship. He served as the Managing Director of the Eliette and Herbert von Karajan Institute from 2011 to 2025, where he played a transformative role in advancing the use of emerging technologies—such as artificial intelligence—in classical music. Dr. Röder is a board member of the Karajan Foundation and a trustee of the Mozarteum Foundation in Salzburg. Matthias Röder holds a PhD in music from Harvard University and is an alumnus of Mozarteum University Salzburg. He founded the Karajan Music Tech Conference, a prominent cross-industry event promoting breakthrough technologies in music and audio, and launched the international “Classical Music Hack Day” series. He has received recognitions such as a Bronze Effie for the AI-based completion of Beethoven’s 10th Symphony.

Anastassia and Matthias discuss the evolution of music technology, the role of AI in composition, and the challenges faced by students and professionals in adapting to these changes. The conversation highlights the importance of AI literacy, the impact of generative AI on creativity, and the evolving relationship between music labels and technology. They also touch on copyright issues surrounding AI-generated music and innovative projects that are shaping the future of the industry.

Takeaways:

AI is transforming the music industry in unprecedented ways.

Students often have a negative perception of AI in music.

The historical reverence for genius complicates AI acceptance.

AI is not a job replacer but a job transformer.

Music labels are beginning to embrace AI technologies.

AI can democratize music creation and lower barriers for new creators.

Deep fakes pose ethical challenges in the music industry.

Collaboration between humans and AI can enhance creativity.

AI literacy is crucial for future musicians.

Innovative projects are emerging that leverage AI for music creation.

Chapters:

00:00 Introduction to AI and Music

01:53 Matthias Röderer's Journey in Music and AI

04:39 AI's Role in Music Composition

09:55 The Intersection of AI and Human Creativity

11:19 Student Attitudes Towards AI in Music

13:59 The Cult of Genius in Music

16:52 Industry Response to AI in Music

18:18 Music Labels and AI Integration

25:29 Copyright and AI-Generated Music

30:26 Exciting Innovations in Music Technology

Interesting names and companies mentioned in the episode:

Classical composers - innovators: Messiaen, Ligeti, Scriabin, Čiurlionis

Today's creators fusing AI and music: Holly Herndon and Matt Dryhurst

Musician and educators: Eliot Fisk, Christoph Wolff

London-based company Delphos

In this episode, Anastassia and Rae are continuing to discuss portrayals of AI in movies and fiction. This time, they discuss "Her," a film that has achieved cult status among technologists, in which Scarlett Johansson performed the voice of Samantha, an Operating System that the main character, Theodore, falls for. Anastassia offers explanations of how language models work and how they differ from humans, as they can't reason, build causal relationships, and 'think' in 'what if' scenarios. Rae discusses how schools and universities recognize AIs in essays and asks whether humanity utilizes AIs for what they do best, rather than trying to fit these technologies into everything humans are capable of doing. Topics such as human loneliness and AI responses, using AI as a metaphor to describe human problems, the Necessity of going through challenges to learn and appreciate relationships, and the nuances of context are explored. Anastassia reflects on whether modern AIs can be freed from biases and what alternative technology architectures might offer.

Key takeaways:

"Her" has a cult status to many technologists building AI products and services.

The movie offers another way to reflect on AIs, as here a human (Theodore) is a professional writer falling for an AI, which is only represented by a voice.

Samantha does not exist today. In the movie, she is capable of learning. Today's AIs don't master causality and reasoning; they are frozen in time.

LLMs don't learn from counterfactuals/ in 'what if' scenarios.

Samantha's character offers insights into the distinction between humanity and a performative act.

Marshall McLuhan was discussing how travel and rapid communication were shrinking the world. AIs might do the same.

Siri was one of the first AIs allowing autistic children to receive information no one else wanted or could provide.

AIs are a reflection tool to tell us about ourselves.

Domain expertise is paramount for building AIs today. Universal AIs are currently notoriously difficult to implement.

We must recognize human expertise to determine how and where to utilize AI.

Regulators must find ways to incentivize investments in fundamental research to change the current architecture, rather than insisting on something that can't be mediated due to the underlying mathematics (e.g., removal of biases).

Chapters:



2:32 What is "Her" about?

8:23 The Movie "Her" isn't a dark portrayal of AI.

11:32 There is no reasoning and understanding in today's AIs.

17:31 We mistake Samantha for a human 'just' because of her voice

21:30 Human loneliness and complexity of emotions vs. cutting corners because an OS is always 'on'

23:50 Marshall McLuhan and the 'shrinking world' hypotheses

24:40 Teaching AI and ethics through a metaphor

27:02 A new concept of consumerism when it comes to an ever-available AI

28:01 Siri as a communication companion

30:22 AI as a reflection tool to teach humans about themselves

33:13 Use of language in the movie "Her" and in current AIs

34:40 How do educators recognize plagiarism, and the role of context

37:42 Necessity to check sources and links when doing an LLMs-based search (Perplexity)

38:36 Domain expertise is essential in building AIs well

40:40 AI can look for patterns, but it can't read for context

42:11 The difficulties of roboticizing a hand

43:49 To understand the maturity and implementability of a technology, we must look into the semiconductors' roadmaps and research the IP portfolios of companies

45:25 We must invest in alternative architectures to optimize AIs

48:10 Universities aren't the primary source of research today, Big Tech is

49:46 Are there ways around biases?

In this episode, Anastassia engages with Cecilia Vaca-Jones, former Minister of Social Affairs in Ecuador, former CEO of the Bernard van Leer Foundation, and currently Senior Advisor to the Abu Dhabi Early Childhood Authority. They explore the intersection of AI and early childhood development, discussing the critical importance of the early years in cognitive and emotional development, the role of language and culture, and how technology can support rather than replace human interaction. The conversation highlights the importance of community involvement in child development and the need to create supportive environments that foster children's growth and well-being.

Takeaways

Early childhood development spans from conception to age five or eight, depending on the country.

The first years of life are crucial for brain development, with 80% of neurological connections formed in the first two years.

Early childhood development is holistic, encompassing cognitive, emotional, and social growth.

Exposure to multiple languages enhances cognitive development and cultural understanding.

AI and technology can aid in the early diagnosis of developmental issues in children.

Positive caregiving cannot be replaced by technology, but can be supported by it.

Public spaces and community involvement are essential for healthy child development.

Children learn best in environments that promote creativity and positive experiences.

Regulating content for children is as essential as regulating food quality.

The community plays a vital role in providing a supportive environment for children's growth.

Chapters

00:00 Introduction to AI and Early Childhood Development

03:19 Defining Early Childhood Development

05:59 The Importance of Early Years in Cognitive Development

09:52 The Role of Language in Early Development

14:08 AI vs Human Language Acquisition

23:12 The Impact of Environment on Child Development

28:22 Technology as a Supportive Tool in Development

29:58 Balancing Technology and Human Interaction

37:28 Designing Spaces for Healthy Development

43:32 Community's Role in Child Development

Summary

In this conversation, Anastassia, along with guests Jennifer Handsel and Warwick Matthews, delves into the intricacies of AI implementation, focusing on the significance of data, the evolution of expert systems, and the challenges posed by language, particularly Japanese. Speakers explore the cultural influences on AI development, the role of LLMs, and the current state of data management in Japanese enterprises. The discussion underscores the importance of striking a balance between technology and human understanding to make AI transparent and beneficial. Anastassia and her guests discuss the challenges and opportunities surrounding AI implementation in Japan, touching on the country's telecommunications standards, the influence of China, cost implications, leadership issues, and the evolving startup ecosystem. They emphasize the need for a cultural shift toward learning from mistakes and the importance of visionary leadership in driving AI initiatives forward. They highlight the future of enterprise software AI in Japan, particularly in healthcare and robotics, as well as the necessity of modernizing data infrastructure to effectively leverage AI.

Takeaways

• Data is the foundation of AI and its usability.
• Expert systems still hold value in specific applications.
• LLMs have transformed the landscape of AI, but they also present new challenges.
• Nuanced and context-dependent Japanese language data presents unique translation difficulties.
• Cultural context is crucial to the effectiveness of AI training.
• Data management practices in enterprises are often outdated.
• Perfectionism in data management can hinder progress.
• AI should be utilized as a tool for enhancing creativity and generating valuable insights.
• Prompt engineering is essential, but should never replace critical thinking.
• The future of AI may require more localized LLMs.
• Deep learning models often lack transparency in their decision-making processes.
• Japan is currently following proven technology paths rather than leapfrogging.
• China may play a crucial role in advancing Japan's AI capabilities.
• The cost of implementing AI in Japan is a significant concern.
• Leadership and cultural attitudes towards failure hinder innovation.
• Japan's startup ecosystem is growing but lacks aggressive investment.
• Enterprise AI is being introduced in sectors like healthcare.
• Robotics will be essential for addressing Japan's aging population.
• AI literacy and education initiatives are needed in Japan.

Chapters

00:00 Introduction to AI and Data

02:59 Expert Systems vs. LLMs

06:03 Language and Linguistics in AI

09:01 Challenges of Japanese Language Data

11:54 The Role of LLMs in AI

14:57 Data Management in Enterprises

20:59 Cultural Influences on AI Development

29:06 Navigating AI Implementation Challenges

30:12 Japan's Leap in Telecommunications Standards

31:44 The Role of China in Japan's AI Development

32:59 Cost Implications of AI in Japan

34:57 Leadership and Cultural Challenges in AI Adoption

37:35 The Evolving Startup Ecosystem in Japan

39:12 Future of Enterprise AI in Japan

42:53 The Need for Visionary Leadership in AI

43:45 Building Effective Machine Learning Models

46:45 Reflections on Japan's AI Landscape

In this episode of "AI Snacks," Anastassia and Professor Rae Muhlstock explore human nature in the age of AI through the lens of science fiction while also hinting at the introspective journey of understanding human identity in the face of advancing technology. The conversation reflects the dual nature of AI portrayals in science fiction movies and books, from helpers to threats, and how these narratives make us question what truly defines our humanity. While fantasy offers images of different worlds, science fiction applies scientific methods to the world we are currently living in. Learning from sci-fi might become an integral part of teaching AI literacy and AI ethics.

Rae Muhlstock is a Lecturer of Writing and Critical Inquiry at the University at Albany, SUNY. Her expertise is in 20th—and 21st-century fiction, narrative theory, experimental fiction, and film. She is also the chief organizer of the annual WCI Film Festival in Albany.

Takeaways:

Science fiction might be considered as a blueprint for our possible future with AIs.

As a genre, science fiction applies scientific methods to the world around us. This is its difference from fantasy, which creates imaginary worlds.

Filmmakers and writers question the nature of humanity while developing their storylines and characters.

The original Star Trek series questions our understanding of AIs, such as who owns them and whether they have rights.

Today's students consider AIs 'just' tools. Still, their views on possible scenarios of human-AI coexistence are influenced by fears of AI taking over, as shown in many books and movies.

AI ethics might evolve similarly to animal ethics.

Today's technologists might give AI reasoning only if we change how AI systems are built/ architected.

Humans need to learn how to coexist with intelligence that is very different from their own.

The brain and the mind aren't the same thing.

Chapters:

1:20 Teaching StarTrack in creating writing courses

5:13 Human response to AI

8:31 Definition of Science-Fiction

9:17 AI as a different form of intelligence/ non-human intelligence

11:57 Human fears of AI are shaped by Sci-Fi

15:03 Analyzing the original StarTrek Episode "The Ultimate Computer" and value alignment between humans and machines

18:38 Is AI just a tool?

23:24 The brain and the mind are different

24:53 Who owns AI? Who owns Data from StarTrek?

26:19 Diversity in humanity and in AIs: What does it mean?

32:35 Giving AI possibilities to reason via implementing different technology architectures

37:40 Importance to learn from AI when we define our humanity/ reading from the work of students

In this episode of AI Snacks, Anastassia interviews Mike Rizkalla, an entrepreneur who transitioned from the entertainment industry to robotics, focusing on AI in children's education.

Mike is the CEO and co-founder of Snorble, a startup that develops interactive robotic companions designed to help children develop healthy habits and improve their educational experiences. He studied computer and electrical engineering and spent multiple years in the entertainment and creative industry. Mike's vision for Snorble involves leveraging AI-driven technology to inspire learning, nurture development, and foster curiosity in young minds. His work has been recognized with several awards, reflecting his innovative approach to combining technology with child development.

Anastassia and Mike discuss the development of Snorble and the purpose of child-centric AIs. Mike shares insights on the technology stack, challenges of AI on edge devices, and the importance of human-centric design. The conversation also touches on building trust with parents, the role of AI companions in child development, and the significance of dedicated content labs in creating educational experiences.

Takeaways

• Snorble is designed to enhance children's learning experiences.
• The technology stack includes proprietary hardware and software.
• AI on edge devices offers advantages like reduced latency.
• Privacy and security are prioritized in Snorble's design.
• Human-centric design is crucial for product success.
• Understanding young children's language is a key challenge in developing a proprietary language model.
• Parents have concerns about AI replacing human interaction.
• Snorble can help children learn math and reading. The robot is aligned with what parents expect from a companion, and parents fully control its implementation.

Chapters:

00:00Introduction to AI in Children's Rooms

01:03Mike's Journey to Robotics and AI

02:40Current State of Snorble and Market Position

04:11Technology Stack of Snorble: Hardware and Software

10:34Challenges and Advantages of AI on Edge Devices

14:06NLP and Child-Centric Technology Development

18:56Human-Centric Product Design in AI

21:22Overcoming Unknowns in Product Development

24:15Collaboration with Research Facilities

25:02Building Trust with Parents

32:24Vision for AI Companions in Child Development

35:23Content Lab and Educational Focus

37:51Snorble's Role in Learning Math and Writing

Summary

In this episode of AI Snacks, Anastassia and Naomi Baron explore the intersection of artificial intelligence and writing. They discuss AI's capabilities in generating text, its implications for authorship and creativity, and the historical context of writing and plagiarism. The conversation delves into the cognitive effects of relying on AI for reading and writing, the evolving nature of literature, and the future of AI in these domains.

Naomi S. Baron is a linguist and professor emerita of linguistics at the Department of World Languages and Cultures at American University in Washington D.C. Baron earned a PhD in linguistics at Stanford University. She taught at Brown University, the Rhode Island School of Design, Emory University, and Southwestern University before coming to American University. Her areas of research and interest include computer-mediated communication, writing, and technology, language in a social context, language acquisition, and the history of English. She was a Guggenheim Fellow, Fulbright Fellow, and Semiotic Society of America president. Her book, "Always On: Language in an Online and Mobile World," published in 2008, won the English-Speaking Union's HRH The Duke of Edinburgh ESU English Language Book Award. Anastassia recommends her excellent new book, "Who Wrote This?"

Takeaways

• AI can write poetry and prose, but is it literature?
• Large language models process statistical token streams. They lack an understanding of language and human reasoning.
• AI's role in writing raises questions about creativity and authorship. However, it is uncertain whether writers who sue LLM makers over copyright infringements will win their cases. This is due to the nature of LLMs, which process tokens rather than words or sentences.
• Historical perspectives show that plagiarism was once accepted.
• Writers today may use AI as a tool, but it doesn't replace their voice.
• Reading experiences shape our understanding of language and culture.
• AI can summarize texts, but it may reduce profound reading experiences.
• The future of writing may involve collaboration between humans and AI.
• Understanding the evolution of reading is crucial in the digital age.

Chapters

• 00:00Introduction to AI and Writing
• 03:14Understanding AI in Writing and Literature
• 06:20The Role of AI in Creative Processes
• 12:36Historical Perspectives on Writing and Plagiarism
• 19:48Copyright Issues and AI's Impact on Authors
• 24:41The Writer's Journey and Reader Engagement
• 30:00The Evolution of Reading and Cognitive Impact
• 40:45Future of AI in Writing and Reading

Reading Material and Sources:

Biography Naomi S. Baron

Who Wrote This? How AI and the Lure of Efficiency Threaten Human Writing

How ChatGPT robs students of motivation to write and think for themselves

5 Touch Points Students Should Consider About AI

Why Human Writing Is Worth Defending In the Age of ChatGPT

Medium Matters for Reading: What We Know about Learning with Print and Digital Screens

AI Edutainment Website

“Romy&Roby” Book Website

Amazon.com “Romy, Roby and the Secrets of Sleep”

In this episode of "AI Snacks," Anastassia and Ilya Meyzin, SVP of Data Science at Dun & Bradstreet, delve into the significance of vectors in AI and data science.

Ilya Meyzin is a data science executive with experience in corporate strategy and data science across multiple industries and countries. He currently serves as the SVP and Head of Data Science at Dun & Bradstreet. He has a B.A. in Philosophy from Yale University. He has participated in briefings to the President's National Security Telecommunications Advisory Committee on Big Data analytics. He has presented to U.S. government audiences on AI trends in the private sector. His expertise in data science and AI has led to his appointment as a member of the Network of Experts for OECD.AI.

Anastassia and Ilya explore how vectors serve as numerical representations of data, enabling machines to process and understand information. Ilya shares his unconventional journey into data science, emphasizing that a background in statistics isn't mandatory for success in the field. The conversation highlights the importance of vectors in machine learning, natural language processing, and discovering patterns in data. They also touch on the emerging trends in multimodal AI and the applications of vector technology in real-world scenarios. Ilya discusses the rapid evolution of data dictionaries and – in applications related to business identities - the challenges of mapping companies to relevant codes. He explains how advanced natural language processing and vector representation of data can significantly improve search results. The discussion then shifts to the capabilities of large language models (LLMs) and their implications for understanding human language. Ilya emphasizes the importance of autonomous AI agents in solving complex problems and the potential for these agents to evolve in the coming years. The conversation concludes with reflecting on the ethical considerations surrounding AI and the necessity for technology literacy in society.

Takeaways:

Vectors are crucial for representing data in AI and allow machines to analyze and understand information.

NLP relies on high-dimensional vector spaces.

Similarity is a key factor in utilizing vector technology effectively.

Vectors can encode complex relationships between objects.

Multimodal AI combines different data types using vectors.

Understanding vectors can enhance AI applications in various fields, including search.

AI can discover patterns that humans may overlook. Traditional data dictionaries become outdated quickly, impacting data accuracy.

NLP can enhance the understanding of company functions in business identity applications.

LLMs have demystified human language processing.

The future of AI lies in autonomous agents tackling complex problems.

Memory in AI systems can enhance user experience but raises privacy concerns.

The evolution of AI agents will lead to more sophisticated applications.

Ethical considerations in AI development are crucial for responsible innovation.

AI literacy is essential for societal advancement and understanding of technology.

Collaboration and sharing technologies can drive innovation in AI.

Chapters:

00:00Introduction to AI Snacks and Vectors

03:21Ilya's Journey into Data Science

05:20Understanding Vectors in AI

08:33The Importance of Vectors for Machine Understanding

11:15Natural Language and Computer Understanding

15:34The Role of Vectors in Discovering Patterns

17:09Finding Similarities with Vectors

21:31Multimodal AI and Vector Technology

23:14Applications of Vectors in Data Science

24:48The Evolution of Data Dictionaries

27:30Transforming Company Data into Vectors

30:00Demystifying Human Language with LLMs

35:56The Future of Autonomous AI Agents

42:45Ethics and the Future of AI

Links:

Dun & Bradstreet

AI Edutainment Website

“Romy&Roby” Book Website

Amazon.com “Romy, Roby and the Secrets of Sleep”