the ai.u crew are joined by Microsoft’s Principal Product Manager, Shane Boyer. The discussion centers on how the next generation of developers will learn their craft in an era dominated by AI-driven code generation. They delve into the experiences of seasoned developers juxtaposed with newer coders using AI tools like GitHub Copilot. The conversation explores the balance between leveraging AI to accelerate development and the importance of developing foundational coding skills. They also touch on the emotional and practical challenges of relying on AI for code generation, the evolution of 'vibe coding,' and the potential future of specialized AI models. Real-life anecdotes highlight the intersection of AI, learning, and productivity, underscoring AI's role as a tool rather than a replacement for human expertise.

00:00 Introduction and Greetings

00:37 Introducing the Guest: Shane Boyer

00:57 Topic of the Week: AI Code Generation

01:09 The GitHub Universe Conference

02:31 Challenges of AI-Assisted Development

05:22 The Concept of Vibe Coding

06:03 Real-World Examples and Anecdotes

07:06 The Evolution of Developer Tools

09:32 The Future of Coding and AI

16:44 The Role of Orchestration in Development

25:10 End of Year Reflections and Living Room Redesign

25:47 The Evolution of Learning and Coding in College

27:17 The Future of Coding: Reducing Toil and Enhancing Skills

28:42 The Role of Experience in Coding and Problem Solving

30:22 Inspiring the Next Generation of Coders

32:01 The Impact of AI on Coding and Development

33:54 The Importance of Curiosity and Continuous Learning

40:54 The Positive Potential of AI in Human Flourishing

50:59 Conclusion and Listener Engagement

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aiunprompted.substack.com

An in-depth discussion on the history and future of robotics and AI, focusing specifically on humanoid robots. They explore the development of robotics from the 1970s to the present day, the technical challenges of creating human-like dexterity and form, and debate the necessity and implications of having humanoid robots in daily life. The conversation also delves into behavioral science, privacy concerns, and potential future applications. Listeners are invited to share their thoughts on the form and function of future robots.

00:00 Introduction and Greetings

00:38 History of Robotics: The Early Years

02:22 Robotics in the 1980s and 1990s

04:46 The Rise of Consumer Robots

06:43 Modern Robotics and AI Integration

13:01 Humanoid Robots: The Future or a Fad?

18:10 Ethical and Practical Considerations

33:54 The iPhone of Robots: Cute and Non-Threatening

35:14 Humanoid Robots: Mechanical and Practical Benefits

45:18 Privacy Concerns with Home Robots

49:36 The Future of Human-Robot Interaction

01:00:57 Listener Feedback and Closing Remarks

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aiunprompted.substack.com

In this episode, the hosts discuss the overwhelming advancements in AI and technology, offering listeners practical strategies to stay ahead. They cover the importance of 'just-in-time learning' or 'jet learning,' emphasizing the need for focused learning areas and eliminating unnecessary noise. The conversation also highlights using AI for personalized learning and coaching, the significance of structured learning approaches, and leveraging AI for effective communication. Through personal anecdotes, they explore how AI can help tackle complex tasks and projects. The ultimate takeaway is to embrace technology tools to enhance productivity and keep up with rapid changes in the tech landscape.

00:00 Introduction to AI and Technology Overload

02:37 Strategies for Managing Information Overload

03:10 The Importance of Just-in-Time Learning

04:42 Filtering Out the Noise

05:51 Using AI to Enhance Learning

07:04 Building an AI-Powered Learning System

09:25 AI in Professional Development

11:45 Making Learning Fun and Engaging

20:35 Leveraging AI for Project Management

23:44 AI in Software Development

26:57 Embracing AI for Personal and Professional Growth

27:52 Navigating Communication Challenges with AI

30:22 AI in Learning and Skill Development

43:09 Leveraging AI for Technical Troubleshooting

44:46 Maximizing Productivity with AI

45:51 Final Thoughts and Listener Engagement

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aiunprompted.substack.com

In this episode of ai unprompted, hosts Ryan, Kevin, and Travis welcome Ari from NARBE House to discuss an inspiring journey of using AI to assist his brother, Ben, who suffers from a rare genetic disorder. Ari shares how he leveraged open-source tools and AI-powered solutions to create custom software, communication aids, and games that significantly improved Ben's quality of life. The discussion highlights the transformative impact of technology when combined with determination and love. Ari also talks about founding the NRB Foundation to help others in similar situations. This heartfelt conversation showcases the potential of AI to make meaningful, positive changes in people's lives.

00:00 Introduction and Welcome

00:39 Meet Ari and NARBE House

02:26 Ari's Brother Ben: A Journey with Tub4A

04:45 Growing Up with Ben

06:53 Family Dynamics and Moving Around

08:52 Building a Life and a Home for Ben

13:03 The Pandemic and Its Impact

17:25 Developing the Communication App

25:24 The Evolution of a Custom Solution

25:32 Starting from Scratch: No Coding Experience

25:53 Building the Interface: From Notepad to Visual Studio Code

26:18 Creating a Custom Solution for Ben

27:28 Daily Routine and Interface Usage

28:39 Advanced Features: Predictive Text and Custom Keyboard

33:42 The Power of Customization: Games and Entertainment

36:24 Encouraging Others to Innovate

39:19 Making Technology Accessible for All

43:58 The Impact of Custom Solutions on Ben's Life

44:45 Final Thoughts and Future Plans

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aiunprompted.substack.com

In this episode of ai unprompted, hosts Ryan Lowdermilk, Kevin Tupper, and Travis Lowdermilk discuss the evolving role of AI companions. They explore the balance between AI as a utility tool for efficiency and its potential as a social companion, addressing both benefits and ethical concerns. Listeners' feedback is featured, and the hosts delve into real-world applications and cultural differences in the acceptance of AI relationships. The episode also highlights the importance of AI in enhancing human potential rather than replacing human interactions, with insights from industry leaders.

00:00 Introduction and Disclaimers00:30 Listener Feedback: Sibling Rivalry01:43 Shoutouts and Listener Engagement02:27 Main Segment: AI Companions02:57 Evolution of AI Companions03:42 Current Players in AI Companions04:15 Research on AI Companions05:46 Personal Experiences with AI Companions07:02 Historical Context and Ethical Considerations08:13 User Interactions and Future Implications22:17 Exploring AI Modalities and Human Interaction23:18 The Role of AI in Personal Context and Relationships26:24 Cultural Perspectives on AI Companions31:49 The Tipping Point: AI as Utility vs. Companion42:14 Microsoft's Vision for AI Empowerment46:38 Conclusion and Upcoming Episode Teaser

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aiunprompted.substack.com

In this episode of AI Unprompted, hosts Ryan Lowdermilk, Kevin Tupper, and Travis Lowdermilk discuss various facets of AI's impact on productivity and workforce dynamics. They start by analyzing an essay by Boyd Kane on AI vulnerabilities compared to traditional software bugs, emphasizing the unique challenges AI systems pose. The conversation then transitions to addressing feedback and examining a Wharton School report on AI adoption in enterprises, highlighting increased usage and ROI despite concerns of accurate measurement and over-reporting. The hosts stress the importance of establishing clear metrics for AI's effectiveness, including engagement, goal setting, and qualitative employee feedback to ensure meaningful AI integration in organizational processes.

00:00 Introduction and Disclaimer

00:30 Listener Feedback and Essay Discussion

00:58 AI Vulnerabilities vs. Traditional Software Bugs

02:11 AI Code Review Challenges

06:00 Black Box Theory and AI Decision Making

06:47 Anthropic's Research on AI Models

16:01 AI in Enterprises: ROI and Adoption

23:48 Challenges in Measuring Productivity

24:10 Defining Developer Productivity

24:42 Metrics and Business Outcomes

25:27 AI's Role in Productivity

28:14 Practical Considerations for AI Implementation

31:06 Future of AI in Organizations

33:05 Measuring AI's Impact

41:32 Establishing Baselines and Metrics

47:02 Conclusion and Final Thoughts

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aiunprompted.substack.com

In this episode of 'AI Unprompted,' hosts Ryan Lowdermilk, Kevin Tupper, and Travis Lowdermilk delve into the current state of AI, with a focus on large language models (LLMs). They discuss a recent interview with Richard Sutton, the father of Reinforcement Learning, who questioned the value of LLMs due to their lack of true learning ability. The discussion covers the utility of LLMs, their future roles, and the implications of synthetic data. They also touch on new advancements such as OpenAI's Atlas browser and how it integrates AI more seamlessly into daily tasks. The episode encourages listeners to share their own experiences with AI tools, treating them either as sophisticated assistants or as simple tools.

00:00 Introduction and Disclaimers

00:17 Welcome to AI Unprompted

00:42 Diving into Large Language Models (LLMs)

01:34 Debate on the Usefulness of LLMs

03:12 Understanding vs. Mimicking in AI

11:11 Human-Computer Interaction and AI

19:48 Synthetic Data and AI Training

22:36 Leveraging Proprietary Data with AI

23:07 Understanding Synthetic Data

23:27 The Nature of LLMs and Personhood

24:14 Practical Uses and Limitations of LLMs

26:31 Reinforcement Learning and LLMs

28:39 Artificial General Intelligence (AGI) Debate

30:20 Interspecies Communication and AI

33:27 Effective Prompting Techniques

37:47 AI as a Personal Assistant

43:13 Concluding Thoughts and Feedback

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aiunprompted.substack.com

In this episode of AI Unprompted, hosts Ryan Lowdermilk, Kevin Tupper, and Travis Lowdermilk dive into real-world applications of AI in both their personal and professional lives. They discuss recent AI breakthroughs from Google and Yale's CTS Scale model, explore various scenarios where AI has aided them—from medical advice to DIY fixes and financial planning—and emphasize the importance of human relationships and empathy versus AI-driven interactions. The hosts also provide tips for enhancing AI use, including leveraging reasoning models and meta-prompting for more effective outputs. The episode ends with reflections on AI as a tool to supplement human creativity and connections.

00:00 Introduction and Disclaimers

00:16 Welcome to AI Unprompted

00:54 AI in Medicine: Breakthroughs and Implications

05:31 Personal and Professional AI Use Cases

07:49 AI for Personal Health Management

11:48 AI for Emotional Support and Problem Solving

15:09 AI in Financial Planning

20:23 AI for Fitness and Physical Training

22:19 Reflecting on Personal Experiences

22:41 Navigating Online Interactions

23:16 Fashion Challenges and Solutions

24:45 DIY Adventures and AI Assistance

26:34 Enhancing Problem-Solving with AI

34:11 Understanding AI Models

38:32 The Human Element in AI Interactions

42:37 The Future of AI and Human Relationships

44:08 Conclusion and Listener Engagement

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aiunprompted.substack.com

In this episode of ai unprompted, hosts Ryan Lowdermilk, Kevin Tupper, and Travis Lowdermilk dive into AI Dev Day 2025 and the proliferation of AI apps and agents. They discuss the implications for industries and individual users concerning the integration of apps within AI prompts. Topics include the privacy concerns surrounding AI, the evolving ecosystem for app developers, and new features like Agent Kit and Chat Kit that enable developers to create multi-agent workflows. The hosts also touch on the growing trend of using AI for customer support and sales optimization and ponder whether AI-driven agentic workflows will ultimately replace traditional app development. They wrap up the episode with personal introductions and insights into their professional backgrounds and expertise in the AI field.

00:00 Introduction and Disclaimers

00:15 Welcome to AI Unprompted

00:41 AI Dev Day 2025 Overview

01:00 Discussion on AI Apps and Privacy Concerns

03:46 Spotify and AI Integration

06:43 Human Interaction with AI

16:07 AI in Commerce and Future Prospects

19:28 AI's Role in Daily Life

21:42 Generational Differences in Tech Adoption

22:18 The Future of App Stores and AI Integration

23:10 Agent Kit and Developer Tools

24:02 The Evolution of Software Development

26:20 Democratization of Development

33:42 Real-World Applications of AI Agents

37:51 Concluding Thoughts and Introductions

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aiunprompted.substack.com