Summary:

The conversation focuses on decentralized cloud storage as an alternative to traditional hyperscale cloud providers, emphasizing security, privacy, cost, and resilience. It discusses the limitations of centralized cloud systems and how decentralized storage offers a more secure and distributed solution.

Murphy John is Chief Growth Officer at StorX Network, a decentralized cloud storage platform (DePIN) built on blockchain technology to deliver secure, private, and cost-efficient data storage at scale. With a background in designing and managing internet and cloud infrastructure for large enterprises, banks, and financial institutions, he has over a decade of experience in building resilient, secure systems for mission-critical workloads. Since joining StorX in 2021, Murphy has led ecosystem development, strategic partnerships, and go‑to‑market initiatives, working closely with Web3, IoT, and AI partners to integrate StorX’s encrypted, geo-distributed storage into real-world applications. A strong advocate for data privacy and decentralization, he frequently speaks on how technologies such as encryption, data fragmentation, and distributed ledgers can protect organizations against ransomware, data misuse, and single points of failure in traditional cloud models. 

Key Takeaways:

Centralized Cloud Issues : Traditional cloud systems face challenges in scalability, security, and cost.

Decentralized Storage Benefits : Offers encrypted, distributed data storage with enhanced security and privacy.

Ecosystem and Governance: StorX operates a global network with incentives for node operators and AI-driven management.

Real-World Use Cases: Includes healthcare data storage with geofencing and IoT data processing.

Future Outlook: Emphasizes education and adoption in a market dominated by legacy cloud players.

Chapters:

0:04 Introduction into AI Literacy mission and the episode about decentralized storage

3:11 Introduction and Market Context

4:47 Traditional Cloud Promises and Limitations

10:38 Decentralized Storage Architecture and Security

22:04 Ecosystem, Node Operations, and AI Governance

31:19 Use Cases and Regulatory Considerations

39:39 Challenges and Future Outlook

Hyperlinks

 LinkedIn Murphy John

StorX Website

Stronger. Safer. Decentralized: StorX’s Guide to Cloud Storage vs. Backup

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

Summary:

The conversation focuses on decentralized cloud storage as an alternative to traditional hyperscale cloud providers, emphasizing security, privacy, cost, and resilience. It discusses the limitations of centralized cloud systems and how decentralized storage offers a more secure and distributed solution.

Murphy John is Chief Growth Officer at StorX Network, a decentralized cloud storage platform (DePIN) built on blockchain technology to deliver secure, private, and cost-efficient data storage at scale. With a background in designing and managing internet and cloud infrastructure for large enterprises, banks, and financial institutions, he has over a decade of experience in building resilient, secure systems for mission-critical workloads. Since joining StorX in 2021, Murphy has led ecosystem development, strategic partnerships, and go‑to‑market initiatives, working closely with Web3, IoT, and AI partners to integrate StorX’s encrypted, geo-distributed storage into real-world applications. A strong advocate for data privacy and decentralization, he frequently speaks on how technologies such as encryption, data fragmentation, and distributed ledgers can protect organizations against ransomware, data misuse, and single points of failure in traditional cloud models. 

Key Takeaways:

Centralized Cloud Issues: Traditional cloud systems face challenges in scalability, security, and cost.

Decentralized Storage Benefits: Offers encrypted, distributed data storage with enhanced security and privacy.

Ecosystem and Governance: StorX operates a global network with incentives for node operators and AI-driven management.

Real-World Use Cases: Includes healthcare data storage, geofencing, and IoT data processing.

Future Outlook: Emphasizes education and adoption in a market dominated by legacy cloud players.

Chapters:

0:04 Introduction into AI Literacy mission and the episode about decentralized storage

3:11 Introduction and Market Context

4:47 Traditional Cloud Promises and Limitations

10:38 Decentralized Storage Architecture and Security

22:04 Ecosystem, Node Operations, and AI Governance

31:19 Use Cases and Regulatory Considerations

39:39 Challenges and Future Outlook



Hyperlinks

 LinkedIn Murphy John

StorX Website

Stronger. Safer. Decentralized: StorX’s Guide to Cloud Storage vs. Backup

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

Summary

This episode dives into how AI is transforming creative fields — from visual art and music to literature and performance.

Dr. Matthias Röder is an AI-music pioneer who works at the forefront of classical music, emerging technologies, and innovation strategy. He led the AI team behind Beethoven X, the celebrated project that used artificial intelligence to complete Beethoven’s unfinished 10th Symphony, and serves as managing partner of The Mindshift, a consultancy focused on creativity and innovation. Röder is a former MD of the Eliette and Herbert von Karajan Institute and a trustee of the Mozarteum Foundation. ​

This episode emphasizes how artists, technologists, and institutions can navigate an evolving landscape — balancing innovation with ethical and legal frameworks. Whether you're a creator or simply interested in AI's societal role, these insights offer a clear view of a future where human ingenuity and machine evolution intertwine more deeply than ever.

Takeaways/ key discussion points:

Pioneering AI artists such as Refik Anadol, Holly Herndon, and Jeroen van der Most

AI models like Boto and decentralized autonomous organizations (DAOs) are redefining artistic identity

The commercialization of AI art and legal debates around copyrights and ownership

The role of NFTs in financing and authenticating digital art pieces

Skills artists need to thrive in an AI-rich environment, emphasizing collaboration and technological literacy

The emerging importance of content registries and digital rights management platforms

Future scenarios: the rise of hybrid teams of human and synthetic artists, new educational pathways, and the societal impact of AI-driven creativity

Chapters:

00:00 - Introduction to the episode - continuing the Beyond Human series

03:20 Introduction to AI's serious role in art and well-known pioneers

05:35 - Decentralized autonomous artists (Boto) and visual AI installations

06:44 - Jeroen van der Most's innovative use of pixel calculations and environmental themes

07:26 - The influence of AI artist Mats Mensch and the democratization of art creation

08:50 - Adoption of AI tools across music, with emphasis on composer workflows

10:12 - Major art exhibitions integrating AI, virtual worlds, and immersive experiences

11:05 - Market dynamics: how AI art is valued and traded in galleries and auctions

13:03 - The commercial side: monetization, licensing, and intellectual property debates

16:49 - The promise and risks of digital rights management and content registries

18:06 - Fractional ownership of NFTs for funding art projects

19:37 - Digital rights, copyright, and the importance of tracking AI training data

24:34 - The need for supporting mechanisms to ensure fair compensation for artists

25:50 - How content registries could revolutionize transparency and trust in AI-generated art

28:48 - Building infrastructures for AI content usage rights and ethical data practices

34:16 - Skills for future artists: collaboration, technical literacy, and adaptability

37:28 - The disruptive potential of synthetic performers and AI actors in Hollywood

40:03 - New educational models, including an AI-focused Master’s program for artists

44:49 - Personal reflections: the importance of writing, teaching, and staying curious in AI evolution

Hyperlinks:

Mentioned Creators:

Refik Anadol - Official Site

Holly Herndon - Musician and Researcher

Jeroen van der Most - Portfolio

NFTs and Art Market Analysis

Scribe Platform for Digital Rights - Future Concept

Omlet AI - Content Registration for Creators

Dr. Röder:

LinkedIn

Twitter

Anastassia:

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

Summary

Ben Lengerich discusses the importance of context in AI for healthcare, the role of generalized additive models (GAMs), and the challenges of data quality and data compliance. He emphasizes the need for responsible AI practices and highlights the impact of historical data on current medical practices. The discussion also touches on the future of personalized medicine and the necessity of investing in AI to improve healthcare outcomes.

Ben Lengerich is an assistant professor of Statistics at the University of Wisconsin–Madison and the founder of Intelligible, where he develops context-adaptive, interpretable AI methods to turn real‑world clinical data into reliable evidence for precision medicine. His research sits at the intersection of machine learning, computational genomics, and medical informatics, with a focus on models that are transparent to clinicians and that account for the specific health context of each patient. Before joining UW–Madison, he was a postdoctoral associate and Alana Fellow at MIT CSAIL and the Broad Institute, advised by Manolis Kellis, after earning his PhD in Computer Science and an MS in Machine Learning from Carnegie Mellon University, where he worked with Eric Xing on methods to uncover patterns in complex biomedical data.

Takeaways:

AI systems must understand context in healthcare to be effective.

Generalized additive models (GAMs) enhance interpretability in AI.

Data quality is paramount for successful AI applications in healthcare.

Debugging datasets can uncover systemic issues in healthcare.

Surprising insights from predictive modeling can inform better practices.

Responsible AI practices are crucial in medical applications.

Historical data continues to influence current medical practices.

Compliance with regulations is a significant challenge for AI in healthcare.

Legacy infrastructure poses barriers to AI implementation.

Investing in AI can lead to improved healthcare outcomes and efficiency.

Chapters:

00:00 Introduction to another AI Snack on AI in Healthcare: Data, Context, Interpretability

02:02 Understanding Context in Healthcare AI

04:54 Generalized Additive Models Explained

07:41 The Importance of Data Quality

10:53 Debugging Datasets in Healthcare

13:50 Surprising Insights from Predictive Models

16:52 Responsible AI in Medicine

19:47 Historical Impact on Medical AI

22:28 Compliance and Regulations in Medical AI

25:50 Bridging Legacy Infrastructure with AI

28:03 The Future of AI in Healthcare

31:43 AI Literacy for Healthcare Providers

34:45 The Case for AI Investment in Healthcare

Hyperlinks:

Ben Lengerich:

LinkedIn profile

X profile

Intelligible website

Anastassia:

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

Summary

John 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.

Takeaways

John'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.

Chapters

00:00 Introduction to cryonic technologies

07:23 Journey from Military to Writing

10:27 The Inspiration Behind 'Cryonic Dreams'

15:40 Exploring AI and Cryonics in Fiction

18:20 Digital Consciousness vs. Cryonics

21:57 The Complexity of Intelligence and Consciousness

24:61 AI's Role in the Future

28:56 Speculative Futures and Human Progress

34:46 The Purpose of Writing and Human Motivation

Hyperlinks:

Amazon: Cryonic dreams: Awakening book

John 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 - 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

Summary

Anastassia 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.​

Takeaways

Judea 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.

Chapters

00:00 Introduction to the episode: Looking into AI and reasoning LLMs

03:11 Discussing two books: “Nexus” and “The Book of ‘Why’”

07:36 Limitations of Large Language Models today

14:50 Embedding Context with Ontologies and Knowledge Graphs into LLMs

18:31 The Convergence of AI Approaches as a possible path to a reasoning AI

20:52 Defining Ontologies and Knowledge Graphs

25:45 Innovation Through Interdisciplinary Knowledge in AI as a necessity

30:04 Dynamic Learning in LLMs

34:15 ‘World Models’ and Their Impact in AI

35:14 The Future of AI and Accountability, AI Ethics

40:03 Human-AI Collaboration in the Workplace

47:06 The Importance of AI Literacy

Hyperlinks:

Joe Miller and Vivun/ AI in sales:

LinkedIn profile

MiraCosta Alumni blog post

Vivun website

AI adoption in companies

Statistics about AI in sales

Anastassia:

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

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 Moments

05:00 Defining Childhood and Adulthood in the Age of AI

06:58 Understanding AI: Myths and Realities

10:38 The Role of Data in AI Development

14:02 The Future of AI: Ownership and Creativity

16:38 Technology for Children: Safe AI Experiences

19:03 Humanity in AI: Bridging the Gap

23:15 Navigating Childhood Development in a Digital Age

25:16 The Impact of Technology on Children

29:30 Fostering Creativity in Kids

32:01 Data and Cultural Literacy for Children

36:07 Storytelling and the Hero's Journey

38:20 Global Reach and Future Vision for AI in Education

39:05 AI Literacy Across Generations

Hyperlinks:

Wikipedia post about Rob

uare.ai website

kidco.ai website

Eternos.life website

Rob's LinkedIn



Paper: Application of artificial intelligence in early childhood development: a scoping review protocol

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

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 Norway

4:03 AI in Norway: Norwegian LLM, national policy, use of AI in public sector

09:50 AI Literacy programs in Finland and Norway

11:48 Demographics and AI in Norway, AI in healthcare

14:14 AI funding in Norway, China and the US

18:10 EU AI Act and Norway

21:20 Practical compliance with the EU AI Act and genAI - addressing the engineering layer

22:50 AI in motor insurance in Norway: a use case

24:53 AI and personalization to address gambling addiction: a use case

27:27 Preconditions to developing and growing AI in Norway: trust, math and AI Literacy programs

34:14 understanding privacy: the Grok example

37:08 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 eyes

Hyperlinks:

Marion Loken:

LinkedIn profile

Sessionize profile

NDC conference

RankMyAI: AI Report Norway 2025

Anastassia:

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

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.

Takeaways

We 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.

Chapters

00:00 Introduction to Dr. B.and the podcast

01:28 The book “Solaris” and human quest to find mirrors instead of alien civilizations

10:28 Dr. B's Personal Journey

16:28 The Role of Technology

23:28 AI and Human Relationships

28:28 Philosophical Reflections on AI

34:28 Community and Connection

20:28 Future of AI and Education

Hyperlinks:

Brian Arnold Website

Podcast The Journey To Freedom

Podcast Living Boldly With Purpose

https://podcasts.apple.com/us/podcast/living-boldly-with-purpose/id1789815699

Brian Arnold’s Books

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

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 trading

3:46 Physics as a statistically driven discipline; AI roots in statistics

5:21 Randomness of technical financial analysis vs fundamental analysis of companies' health, and why excellent outcomes can't exist without fundamental analysis

9:27 What constitutes the 100-year pattern?

12:12 Discovery of the pattern

14:40 TradeWave as a research platform

18:17 AI vs. data science

20:18 History of working with seasonality

24:05 Scientific concept came first, building the platform happened second

27:38 Overreliance on AI in trading and trading automation: pitfalls and issues

30:14 AI agents as a team of capable workers

Hyperlinks:

Afshin Moshrefi LinkedIn

Twitter/X

Website TradeWave

Book

Afshin About His Book

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