My Interface Podcast

Interface

5.0 (1)
TECHNOLOGY
UPDATED WEEKLY

Yvonne and Miya are high school sophomores on a mission to educate students and professionals on the impact of AI across multiple subject matters by providing insights from top experts.

3D AGO

Marbella AI: Empowering the Next Generation with AI Literacy

This episode of the Interface Podcast features an insightful conversation with Dr. Jason Dou, a computer scientist, entrepreneur, and the founder and CEO of Marbella AI. Operating out of the Harvard Innovation Lab in Boston, Jason is on a mission to empower everyone with AI literacy and cultivate future AI leaders. While AI might seem daunting or purely technical to some, Jason explains how Marbella AI uses project-based learning to connect artificial intelligence with students' unique passions whether that's learning Japanese, improving senior care, or exploring sports and music. He highlights how no-code tools, like web coding, can turn a three-month website-building struggle into a five-minute success story, proving that the barrier to entry is lower than ever. As the technological landscape rapidly evolves, Jason dives into why simply typing conversational prompts into a chatbot is already becoming outdated. This episode explores the true definition of AI literacy, the essential skills needed for the future workforce, and why perseverance highlighted by his own journey of facing multiple rejections before reaching Harvard is the ultimate key to success. What You Will Learn Redefining AI Literacy: Understand why moving beyond basic conversational prompts and learning to build applications via "web coding" is crucial for efficiency.Project-Based Learning: Discover how combining personal interests with AI (AI + X) creates powerful, self-motivated learning experiences for students.The Power of Perseverance: Learn why a "growth mindset" and resilience are vital, backed by Jason's story of applying to Harvard multiple times before succeeding.Future-Proof Skills: Find out why communication (with both humans and machines) and a strong appetite to learn are the top skills students must master.The AI Advantage: Why the adage "people with AI will replace people who don't use AI" holds true, and how to confidently tackle obstacles to avoid falling behind.Chapters 00:07 Introduction to the Interface podcast and its educational mission.00:29 Guest Introduction: Dr. Jason Dou of Marbella AI.01:11 Jason's Journey: From studying in China to conducting research globally and arriving at Harvard.07:33 What is Marbella AI? An overview of project-based learning and combining AI with personal interests.12:13 Defining AI Literacy: Moving past basic chatbots to utilizing web coding and AI agents.15:52 Essential Skills: The importance of communication and cultivating a growth mindset.16:34 Mindset & Perseverance: Overcoming obstacles, dealing with rejection, and the value of believing in yourself.18:29 Reversing the Interview: Jason asks Yvonne and Mia about their academic interests and motivations for the podcast.21:18 Final Thoughts: Episode wrap-up and host reflections. Quotes from the Episode "People with AI will replace people who don't use AI and the company using AI will replace people who don't use AI." "I believe perseverance is very important to positions that are truly worth it." "Communication is really the number one... communicate with both humans and like a machine." "We want the students to be self-motivated and really pursue what they want." About the Hosts: Yvonne and Mia are high school sophomores on a mission to educate students and professionals on the impact of AI across multiple subject matters by providing insights from top experts. Where to find Dr. Jason Dou and Marbella AI: Jason Dou: https ://www.linkedin.com/in/jasondou/ Marbella AI: https://www.marbellaai.com/ New episodes drop every Friday at 3:00 PM.

22 min
MAR 20

The Entrepreneurial Mindset and Leadership Coaching in the AI Era

This episode of the Interface Podcast features an inspiring conversation with Ying Cao, the CEO and founder of Light Executive Coaching. With a background that spans studying economics at Yale University to leading digital strategy and AI initiatives on Wall Street, Ying brings a unique perspective on the intersection of high finance, technology, and human potential. She shares how her experiences led her to realize that technology alone cannot drive transformation; it requires a shift in leadership mindset. While many fear that generative AI will replace human jobs, Ying offers a profoundly optimistic view. In this episode, she discusses how AI serves to eliminate repetitive tasks, allowing humans to focus on the creative, strategic, and purely human aspects of their work. From the democratization of app creation using natural language to the inevitable shift toward micro-entrepreneurship, this conversation provides an empowering roadmap for students and professionals to become the "CEOs of their own lives" in the new AI landscape. What You Will Learn The Human Bottleneck: Why the greatest barrier to organizational change is not a lack of technology, but the limitations of human imagination and leadership mindset.The Third Wave of Tech Revolution: How generative AI and natural language processing are democratizing technology, allowing anyone to build applications to solve daily problems.The New Era of Entrepreneurship: Why the future of work will shift away from traditional corporate employee roles toward highly efficient, smaller-scale companies powered by AI.The CEO of Your Life: Practical advice for students to adopt an entrepreneurial mindset, regardless of their age or current career stage.Irreplaceable Human Skills: Why critical thinking, emotional processing, and bold decision-making are the essential skills you must develop that AI cannot replicate.Chapters 01:07 Guest Introduction: Ying Cao’s journey from immigrating from China, to studying at Yale, to her career on Wall Street.04:15 The Limits of Technology: Realizing that human mindset and imagination limit progress more than any digital tool.07:30 AI as a Human Partner: How Light Executive Coaching integrates AI to scale revenue and relieve leaders from repetitive tasks.11:45 Democratizing App Creation: The evolution from writing code to using natural language to build functional applications.16:20 The Changing Landscape of Work: How AI lowers the barrier to entry for starting a business and encourages a shift toward smaller, system-reliant companies.21:10 Advice for the Next Generation: Why young people should use AI as a thought partner while fiercely cultivating their critical thinking and decision-making skills.Quotes from the Episode "I noticed that what really hindered progress is not technology, it is not tool, it’s human.""Imagine in the world like this, people, they can use natural language to create applications and they can use those applications to solve their day-to-day problems.""In this new AI era, all the students should think like an entrepreneur. Even though you are a high school student, you're already an entrepreneur. You're the CEO of your life...""...what AI cannot do, which you should definitely learn on your own, is critical thinking, right? It's how to think about a problem, how to assess a situation, how to make choices."About the Hosts Yvonne and Miya are high school sophomores on a mission to educate students and professionals on the impact of AI across multiple subject matters by providing insights from top experts. Where to find Ying Cao: LinkedIn: https://www.linkedin.com/in/yingcaoyale/ Website: https://liytcoaching.com/ New episodes drop every Friday at 3:00 PM.

20 min
MAR 13

Navigating AI Literacy and Reflective Learning in Higher Education

This episode of the Interface Podcast features an enlightening conversation with Professor Xiao Hu, an Associate Professor at the College of Information Science at the University of Arizona. With a background spanning electrical engineering, computer science, and library science, Professor Hu explores the critical intersection where human curiosity meets advanced technology . While the professional world often views AI as a tool for maximizing output and efficiency, Professor Hu argues that education requires a fundamentally different approach . In this episode, she discusses the necessity of drawing a clear line between using AI for industrial "products" versus using it to enhance "human abilities". From implementing campus-wide AI literacy programs to encouraging students to become "reflective learners," this conversation provides a roadmap for how educators and students can coexist with generative AI without sacrificing critical thinking. What You Will Learn Product vs. Human Ability: Why the goal of AI in education must be building skill sets rather than simply producing high-quality assignments . Information Science Decoded: Understanding how this interdisciplinary field bridges the gap between pure engineering and the humanities . The Macro Level of AI Literacy: Insights into how major universities are integrating mandatory AI courses to prepare students for a changing society . The "Reflective Learner" Framework: Practical strategies for students to interact with AI as a guide for suggestions rather than a shortcut for results .Learning vs. Performance: Why educators should shift focus toward student mastery and knowledge acquisition rather than just achievement scores. Chapters 00:32 Guest Introduction: Professor Xiao Hu’s academic journey and research focus . 01:21 The Philosophy of Learning: Distinguishing between industry efficiency and educational growth . 02:28 Satisfaction of Curiosity: How a love for physics and "figuring things out" led to higher education. 03:22 Defining Information Science: Studying the intersection of technology and humans . 05:31 AI in Teaching: Moving from dodging AI to teaching responsible, ethical usage . 07:54 Global AI Initiatives: A look at the University of Hong Kong’s AI roadmap and weekly insight series . 09:35 The Ethics of Use: Drawing the line between learning and simple task execution . 11:21 Improving Student Work: Trends in how AI can make student artifacts more concrete and personal when guided correctly . 12:35 The Teacher’s Role: Why regulating AI is an ongoing challenge and why we must prioritize learning over achievement . 14:12 Final Advice: Remaining skeptical, embracing the unknown, and maintaining critical thinking . Quotes from the Episode"In terms of learning education, our goal is not the product, it's actually our human abilities." "If I got a beautiful paper written up, but I didn't know what I learned and like my brain is blank, then that's not helpful." "If I can give teachers a suggestion that is to emphasize on learning rather than achievement or performance." "We should embrace AI, but don't lose your critical thinking... That makes us human." About the Hosts Yvonne and Miya are high school sophomores on a mission to educate students and professionals on the impact of AI across multiple subject matters by providing insights from top experts. Xiao Hu: https://www.linkedin.com/in/xiao-hu-12bb93116/ Website (Faculty page): https://infosci.arizona.edu/person/xiao-hu New episodes drop every Friday at 3:00 PM.

17 min
FEB 27

Rocky AI: Rethinking Personal Development in the Age of Automation

This episode of the My Interface Podcast features an insightful conversation with Harry Novic, an AI advisor, founder, and the CEO of Rocky AI, exploring the intersection of artificial intelligence and personal growth. While many people use AI for simple task execution, like asking a smart speaker to turn on the lights or having a chatbot write an email, this approach doesn't inherently make individuals more successful. Harry Novic explains how his platform, Rocky AI, shifts the focus from having AI do the work for us to using AI to empower our own skill development, leadership abilities, and problem-solving capacities. As tools become more powerful and accessible to everyone, the competitive landscape is shifting. This episode dives into why critical thinking and system design are now the ultimate differentiators, the ethical responsibilities of AI founders, and the four distinct levels of AI automation that will reshape the future of work. What You Will Learn The Four Levels of AI Automation: Understand the progression from basic prompting to fully autonomous AI employees, and what that evolution means for human roles. Personal Development over Task Execution: Why using AI just to write an email is a missed opportunity, and how self-coaching platforms can build your core foundational skills. The "Level Playing Field" Dilemma: How to stand out in the workforce when everyone has access to the exact same AI coding and productivity tools. Redefining Career Entrances: The challenge younger generations face as AI automates entry-level tasks, creating a gap in gaining the experience needed for senior orchestration roles. The Ethics of AI Development: The massive responsibility founders hold when creating products that influence human behavior, especially regarding general vs. vertical AI. Chapters 00:07 Introduction to the Interface podcast and its educational mission. 00:29 Guest Introduction: Harry Novic of Rocky AI. 01:24 What is Rocky AI? An overview of self-coaching and app building for businesses. 02:28 The Inspiration: Moving from task execution to personal empowerment. 05:31 Evolving with AI: Why users must level up themselves to fully utilize new technologies. 06:35 Advice for Founders: Why understanding systems and processes is now more vital than hacking code. 09:11 The Levels of Automation: From basic prompts to AI agents and full AI employees. 12:52 Founder Responsibility: The ethical stakes and societal impacts of building AI models. 15:52 Final Thoughts: Rethinking job replacement and owning a piece of the AI revolution. 16:59 Host Reflections: How AI impacts student learning, accountability, and critical thinking. Quotes from the Episode "Having a beautiful email written by AI does not make us more successful at perseverance." "Just because you can use AI tools doesn't mean you are now beating others... everybody's in power." "The slogan, it's not that AI will replace you, but people who use AI will replace you... I would say this is already old school. AI will replace everything and everyone in some aspect." "How can I own a piece of AI that will replace all the jobs?" About the Hosts Yvonne and Miya are high school sophomores on a mission to educate students and professionals on the impact of AI across multiple subject matters by providing insights from top experts. Where to find Harry Novic and Rocky.AI: Harry Novic: https://www.linkedin.com/in/vuksanovic/ Rocky.AI: https://www.rocky.ai/ New episodes drop every Friday at 3:00 PM.

23 min
FEB 20

The Truth About AI Integrity

This episode of My Interface Podcast, features an insightful conversation with Xi Peng, an Associate Professor of Computer Science at the University of Virginia and head of the DeepReal Lab. The discussion tackles the urgent need for "Explainable AI" and how the current education system must adapt to the new AI World. Just as you would question a calculator that suddenly says 12 times 10 is 121, Xi Peng explains why it is critical to understand how AI models arrive at their conclusions, especially in high-stakes fields like healthcare and autonomous driving. The episode also explores the limits of AI in the physical world and why human connection, emotion, and physical sensation remain irreplaceable. What You Will Learn Explainable AI (XAI): Why treating AI as a "black box" is dangerous for high-stakes industries like radiology, and how researchers are looking inside neural networks to build human trust. The 100-Year-Old Education System: Why our current educational models are obsolete in the age of AI, and how schools need to shift from testing answers to teaching students how to ask the right questions. Physical AI and Its Limits: Why an AI might know everything in a textbook but can never be your ski coach, highlighting the gap between text-based knowledge and physical-world interaction. Prompting as Problem Solving: The essential future skill of breaking down massive, complex problems into sub-tasks that an AI can manage, leaving the high-level design to humans. Chapters 00:07 Introduction to the Interface Podcast and its mission. 01:21 Guest Introduction: Professor Xi Peng of the University of Virginia's DeepReal Lab. 01:56 The Classroom Dilemma: Students using AI to write bug-free code. 03:22 Explainable AI: The "broken calculator" analogy and opening the black box. 04:08 Reinventing Education: Adapting a century-old learning system for an AI-native generation. 08:04 Physical AI: Why AI struggles to interact with the real, tangible world. 11:37 The Ultimate Skill: Breaking down complex problems and asking the right questions. 12:15 Advice for Students: Why the internet might be better than textbooks for learning rapidly evolving AI. 13:03 Turning the Tables: Xi Peng asks the hosts about their own AI usage and school policies. 14:41 Host Reflections: Yvonne and Miya discuss AI detection, critical thinking, and the necessity of human connection. Quotes from the Episode "Today's AI is more like a black box... My research interest is to open this black box to figure out how the AI thinks to solve the problem internally." "We still need to educate the kids... We can't forbid people to use AI, but the question is how to use it while the student can still learn." "One job that AI probably never can replace human is being a ski coach... because this needs a sensation. You need an interaction with real world." "Learn from internet, rather than learn from textbooks, if you want to learn AI." About the Hosts Yvonne and Miya are high school sophomores on a mission to educate students and professionals on the impact of AI across multiple subject matters by providing insights from top experts. Where to find Professor Xi Peng and the DeepReal Lab: Xi Peng: https://www.linkedin.com/in/xi-peng-74b540b6/ DeepReal Lab: https://deep-real.github.io/ New episodes drop every Friday at 3:00 PM.

21 min
FEB 13

How to Use AI: A practitioner's Perspective

This new episode of My Interface Podcast, featuring an interview with Ni Lao, an expert in machine learning and natural language understanding at a leading tech company. In an era where AI models are rapidly evolving, how do we distinguish between helpful tools and unreliable outputs? In this episode, Ni Lao joins hosts Yvonne and Miya to share his journey from electrical engineering to leading efficient model training at leading tech companies. Ni explains the technical reality of AI hallucinations, the importance of deep theoretical foundations, and why he never trusts AI results without verifying the source. This conversation bridges the gap between high-level academic research and the practical challenges of managing complex production systems in the real world. What You Will Learn The Learning Paradox: Why AI can help you find what to read but can never replace the actual process of human learning.Understanding Hallucinations: A deep dive into how probabilistic models "guess" information and why verifying sources is a non-negotiable skill.Foundational Skills for the Future: Why statistics, coding, and hands-on project experience are the three pillars of a successful AI career.The "Magic Desk" Vision: How the long-standing dream of instant knowledge access—dating back to the Manhattan Project—is finally becoming reality through AI.Chapters 00:00 Welcome to the Interface Podcast.00:33 Guest Introduction: Ni Lao’s background in machine learning.00:54 Academic Influence: From electrical engineering to robotics and AI.02:40 The Complexity of Large-Scale AI: Managing production systems and prioritizing knowledge.03:45 The Truth About Hallucinations: Why probabilistic models "fake" information.06:50 Essential Skills: Statistics, coding, and the feedback loop of projects.07:50 AI Ethics and Regulation: Protecting intellectual property in art and code.09:00 The History and Future of Information: From the Manhattan Project to AI-driven inference.10:50 Post-Interview Analysis: Collaboration, fact-checking, and human responsibility. Quotes from the Episode "AI can never replace the learning part. You have to do the learning by yourself, but it helps you to find stuff to read." "For me, I don't trust any AI... I just treat them as a way to find sources of information. I will read the source by myself to verify that it's actually true." "You need AI to help you understand the world... but still you need theory of how AI works. Statistics, coding, and also projects." "Making decisions will be much faster now than before... what might need minutes or hours can be reduced to minutes or even seconds." About the Speaker Ni Lao: https://www.linkedin.com/in/ni-lao/ An expert in machine learning (ML), knowledge graph (KG), and natural language understanding (NLU), who wants to redefine what is possible in products and research. Held senior positions at companies like Apple, Google, SayMosaic Inc. About the Hosts Yvonne and Miya are high school sophomores on a mission to provide insights from top AI experts and entrepreneurs to help educate the next generation of innovators. New episodes drop every Friday at 3:00 PM.

18 min
JAN 23

BondDroidAI: The AI Engine Behind Wall Street Trading

This episode of MY Interface Podcast features an in-depth conversation with Kristina Fan, the co-founder and CEO of 7 Chord, exploring the high-stakes world of financial technology and how AI is revolutionizing market data pricing. Traditional taxi meters charge a fixed rate per mile, but Uber uses dynamic pricing based on weather, demand, and car availability . Kristina Fan explains how her firm, 7 Chord, applies this same concept to the complex world of fixed-income markets through their flagship product, Bondroid AI . While many are familiar with "pre-trained" AI like ChatGPT, the financial world requires models that can adapt to "regime changes" and sudden global events—like earthquakes or political shifts—on a moment's notice . This episode dives into the necessity of real-time adaptability and the ethics of using historical data to predict the future . What You Will Learn The Startup "Swiss Knife": Why founders must be able to wear many hats, from product design to customer acquisition, transitioning from the narrow roles of large organizations like BlackRock and JP Morgan . Bondroid AI Explained: How a dynamic pricing engine empowers institutional traders with accurate prices for thousands of financial instruments . AI’s Biggest Danger: Understanding that AI primarily sees patterns in existing data and lacks the "smarts" to make independent, unusual decisions, which can lead to bias in lending or university admissions . Foundational Education: Why Kristina advises students to study physics and math to learn how to think, rather than just chasing a specific career path . Entrepreneurship as a Human Right: A unique perspective from a founder born in the former USSR, where owning a business was prohibited and starting a company is seen as a foundational way to self-express . Chapters 00:07 Introduction to the Interface Podcast and its mission . 01:21 Guest Introduction: Kristina Fan of 7 Chord . 02:35 The Career Pivot: Wall Street to the startup world . 04:00 Dynamic Pricing: The "Uber analogy" for financial instruments . 05:56 Real-time Adaptability: Why finance needs different AI models than ChatGPT . 08:33 Use Cases: How traders use Bondroid AI feeds and software . 10:34 Ethics and Bias: The dangers of unregulated AI in decision-making . 12:15 Data Ownership: Corporate data vs. consumer-facing AI challenges . 13:32 Advice for Students: Why math and physics are the ultimate foundations . 14:55 The Freedom to Build: Reflections on life in the USSR vs. the USA . 16:00 Host Reflections: Key takeaways on innovation and adaptability . Quotes from the Episode "As a startup founder, you wear a lot of different hats... you sometimes should be kind of like a Swiss knife." "Pricing of financial instruments is a bit more complex than pricing a cab ride... markets can really change on the moment notice." "Build a solid foundation right now and don't skip the hard parts. Learn math, learn foundational subjects and then see where life takes you." "The right to own property and the right to own a business... is very foundational human right and it should be cherished." About the Hosts Yvonne and Miya are high school sophomores on a mission to educate students and professionals on the impact of AI across multiple subject matters by providing insights from top experts. Where to find Kristina Fan and 7Chord: Kristina Fan: https://www.linkedin.com/in/kristinafan 7Chord: https://www.7-chord.com/ Music credit: "Modern Situations" by Unicorn Heads New episodes drop every Friday at 3:00 PM.

20 min
JAN 23

AI Advising: The Strategy Behind the Startup

This episode of MY Interface Podcast features an insightful conversation with Andrew Zhang, the co-founder and CEO of Azure Partners, exploring the rapidly shifting landscape of AI education and why traditional learning models are becoming outdated . Andrew Zhang left the world of "Big Tech" giants like Amazon and IBM to solve a specific problem: the gap between academic learning and practical AI implementation . He argues that we are entering an era where AI doesn't just improve productivity by a small margin but can amplify individual capability by 10x or even 100x . Whether you are a "digital native" student or a finance professional, Andrew breaks down his methodology for becoming a domain expert in just 30 days and why the ability to "ask the right questions" is now more valuable than the ability to write raw code . What You Will Learn The Startup Freedom: Why Andrew left Amazon Web Services to pursue a "dream job" where he chooses the team, the technology, and the daily priorities . AI Education Modules: A deep dive into Andrew’s three-weekend roadmap, covering everything from content generation (Gemini) to intelligent knowledge libraries (NotebookLM) and "Black Box" AI coding . Financial GPTs: How Azure Partners is researching and training specialized models to act as a "Bloomberg GPT" using reinforcement learning . The Coding Revolution: Why tools like Cursor mean you no longer need to master the syntax of Python to build functional applications . Advice for Young Founders: The simple, "bland" but essential secret to a successful startup: identifying a specific problem and building a sticky solution . Chapters 00:46 Welcome and mission of the Interface Podcast . 01:13 Guest Introduction: Andrew Zhang's background in academia and tech . 01:43 Inside Agile Partners: AI for Content, Coding, and Finance . 05:00 The "Big Tech" Exit: Why Andrew left Amazon to write and innovate . 07:23 Corporate vs. Startup: Specialized niche markets vs. cloud generalists . 09:23 The 100x Productivity Boost: Methodology over domain expertise . 10:32 The AI Roadmap: Learning models that won't be outdated by graduation . 12:17 Digital Natives: Why the young generation is "AI native" . 14:52 Gemini and Beyond: Understanding the three core learning modules . 17:35 Deep Processing: Why "feeling the pain" of learning helps information stick . 20:13 Startup Advice: Finding the problem that people will pay to solve . 22:03 Host Reflection: Coding without characters and the power of cursor . Quotes from the Episode "People can amplify their capability 10x or 100x times... I can learn anything in 30 days." "You no longer need to remember all the details about Python. You just need to ask the question how to use it." "Challenge is the real opportunity... explore as much as possible. Read a lot of books, travel, meet people. That will give you the lifetime energy to move forward." About the Hosts Yvonne and Miya are high school sophomores on a mission to educate students and professionals on the impact of AI across multiple subject matters by providing insights from top experts. Where to find Andrew Zhang and Azure Partners: Andrew Zhang: https://www.linkedin.com/in/andrew-zhangg Upcoming Gemini Masterclass: https://course-website-delta-seven.vercel.app/ Music credit: "Modern Situations" by Unicorn Heads New episodes drop every Friday at 3:00 PM

27 min
JAN 23

Beyond the House: How PaiBox is Changing Real Estate

What happens when you take nearly a decade of Wall Street experience and apply it to the "chaotic" world of home repairs? In this debut episode, Sherry Li shares her journey from navigating $11 trillion sovereign wealth funds and Wall Street investment banks to dispatching vendors in the field. Sherry explains how her background in systematic fund management led to the creation of Pai Box, an agentic AI platform designed to bridge the gap between institutional investment and boots-on-the-ground property operations. This conversation explores the philosophical and practical shift from being a corporate employee to a founder with the total freedom—and massive liability—of making every decision and how AI is impacting the future of work. What You Will Learn The "Boots-on-the-Ground" Pivot: Why Sherry believes a decade of industry experience is necessary to navigate complex systems like financial services and real estate development. Managing Uncertainty with AI: How AI agents differ from traditional programming by navigating hundreds of unpredictable real-world scenarios, such as repair job conflicts or hidden property damage. The "Assistant" Approach: Why property managers should treat AI as a proactive assistant that can make phone calls, send messages, and follow up with tenants without manual reminders. Regulation and Human Authority: Why Sherry argues that regulation should focus on the creators and trainers of AI rather than the technology itself, ensuring humans remain the sole authority for decisions and liabilities. A Future of Creators: How AI is releasing human "brain power"—much like the steam engine released hands—allowing us to return to our nature as creators who understand and shape the world. Chapters 00:00 Welcome to MY Interface Podcast. 00:42 Introduction to Sherry Li and her Wall Street background. 02:08 Founding C-Star and identifying operational pain points. 03:43 The vision for PaiBox: Improving real estate efficiencies. 05:01 Why startup passion requires deep industry accumulation. 07:20 Mindset shift: Climbing the corporate ladder vs. founder freedom. 09:01 AI's perfect memory and its role in property management. 11:32 AI vs. traditional programming: Navigating the unknown. 12:56 The philosophy of regulation: People as creators. 15:05 Advice for students: How to use AI without knowing how to code. 19:42 The evolution of human nature: From four legs to released brain power. 23:14 Post-interview analysis by the hosts. Quotes from the Episode “When you start a company, it's your own business. The liability is huge, but of course, a huge feeling of freedom.” “The purpose of [technology] is to help human, is to support, is to empower human... treat them as a tool or you treat them as a god? As a god is superior to human... I think that’s totally against human nature.” “Don’t worry about oh learn AI—focus on the question how to use it... AI is supposed to empower you to make the product available without coding.” “Don't be afraid of the era of AI... it's helping human. You're back to what a human is supposed to be. You're the creator.” About the Hosts Yvonne and Miya are high school sophomores on a mission to educate students and professionals on the impact of AI across multiple subject matters by providing insights from top experts. Where to find Sherry Li and PaiBox: Sherry Li: https://www.linkedin.com/in/xueyingli/ PaiBox: Available for download on Apple App Store and Google Play. https://www.paibox.com/ Music credit: "Modern Situations" by Unicorn Heads New episodes drop every Friday at 3:00 PM.

28 min

9 Episodes

Great insights!

Jan 23

hdnsnsjdjejjdjdjjeididd

I like how the hosts bring in experts from different industry and fields sharing their experience with AI and career advice. Will definitely follow the podcast.

Yvonne and Miya are high school sophomores on a mission to educate students and professionals on the impact of AI across multiple subject matters by providing insights from top experts.

Creator

Interface
Years Active

2K
Episodes

9
Rating

Clean
Copyright

© Interface
Show Website

My Interface Podcast