ai unprompted

The ai.u crew discuss Tesla delivery issues and the unique community around new Tesla owners. They highlight recent major releases from OpenAI and Anthropic, detailing the capabilities of Opus 4.6 and Codex 5.3, and their implications for AI application development and knowledge work. The hosts also dive into the evolving ecosystem of personal AI assistants, sharing their personal experiences and the rapid pace of innovation in this area.00:00 Introduction and Hosts00:36 Big Week in AI: Major Releases00:49 Kev's Recent Purchase: A Tesla Story01:49 Tesla Delivery and Subreddit Experience06:10 XR Glasses: A New Purchase09:18 Anthropic's Latest Model: Claude Opus 4.611:36 AI Competition: Anthropic vs. OpenAI13:14 AI Pricing and Market Strategies17:12 Super Bowl Ads: AI Companies Compete21:37 Google's Ad Revenue and AI Advertising23:13 AI.com Handle and Crypto.com Ad25:30 OpenAI's 5.3 Codex Release33:09 PowerPoint Integration with Claude34:35 AI Assistants: Kai and Jarvis41:59 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 au unprompted, hosts Ryan Lowdermilk, Kevin Tupper, and Travis Lowdermilk delve into the rapid emergence of Open Claw, a viral personal AI assistant agent developed by Peter Steinberger from Austria. They discuss its early success and widespread adoption in 2026, recounting how users are rushing to buy Mac Minis to install and utilize this groundbreaking technology. The hosts explore the assistant's capabilities, including memory persistence, proactive assistance, and integration with various services like Apple Notes, GitHub, and Smart Home devices. They also touch on the importance of security and the potential ethical implications of Open Claw's broad agency. As the technology evolves rapidly, the episode serves as a pivotal discussion on the future of personal AI assistants.00:00 Introduction and Welcome00:40 The Rise of Open Claw01:23 Understanding Open Claw03:23 Personal Experiences with Open Claw05:37 Technical Details and Setup13:25 Security Concerns and Best Practices22:36 Future Implications and Industry Impact31:47 Ethical and Security Concerns of Open Claw32:41 Agents Learning from Social Networks34:14 Excitement and Risks of New Technology35:42 The Rapid Evolution of AI Agents38:47 Practical Applications and User Experiences41:44 The Future of Personal Assistant Agents47:51 Security and Community Involvement57:43 Concluding Thoughts and Future Prospects 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 final episode of season one of ai unprompted, the ai.u crew welcome special guest Brian Tupper, Kevin's brother, to discuss the integration of AI in education. They explore how AI can revolutionize classroom learning, address concerns about its potential downsides, and share personal stories about its application in teaching. The hosts debate the balance between using AI to complete tasks efficiently and ensuring that students develop critical thinking skills. As they wrap up the year, they reflect on the role of human interaction in education and the potential for AI to foster creativity and deeper learning among students. The episode concludes with listener feedback and a promise of more exciting discussions in season two.00:00 Introduction and Greetings00:38 Season Finale Announcement00:51 Introducing Brian Tupper01:43 Brian's Background and AI Journey03:22 AI in Education14:00 Challenges and Ethical Considerations28:49 Future of AI in Education36:52 Integrating AI in the Classroom38:14 Creative Learning with AI40:44 The Future of Education with AI42:17 Balancing AI and Human Interaction45:13 Practical Applications and Experiments48:37 The Role of Curiosity in Learning01:00:02 Homework and Classroom Efficiency01:04:11 Concluding Thoughts and Season Wrap-Up 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

ai.u crew delve into predictions for the future of AI and technology in 2026. The discussion covers anticipated advancements in multimodal AI models, the evolution of hardware devices like AI-powered glasses, and potential regulatory impacts. They explore the practical applications of AI in consumer and enterprise sectors, including the emergence of specialized small models for specific tasks and the potential for AI to significantly disrupt industries such as content creation, customer service, and autonomous driving. The episode also touches on the expected maturation of AI technologies, the role of agents in workflows, and the importance of robust data management. Join the conversation to get insights into the next big trends and challenges in AI.00:00 Introduction and Hosts00:39 Predicting the Future: AI in 202601:06 Recap of AI Milestones in 202301:26 Deep Seek R1 and Its Impact03:09 OpenAI's GPT-4.5 and Andro's Claude 403:57 EU's AI Act and GPT-504:39 Microsoft Ignite and Apple Intelligence05:38 Alexa Plus: A New Voice Experience08:29 AI Assistants and Smart Home Integration13:26 2026 Predictions: AI Adoption and Pushback14:39 Enterprise AI: Tasks and Workflows26:15 Multimodal Models vs. Smaller Models34:57 OpenAI's Model Choices and User Preferences37:06 AI's Dependence on Data Quality37:50 AI Partnerships and Ecosystem39:15 AI in Entertainment and Media42:39 AI's Role in Consumer Devices46:10 Regulation and the Future of AI46:58 Predictions for AI in 202655:56 AI in the Workplace and Society01:03:17 Concluding Thoughts and Upcoming Episodes 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

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 Greetings00:37 Introducing the Guest: Shane Boyer00:57 Topic of the Week: AI Code Generation01:09 The GitHub Universe Conference02:31 Challenges of AI-Assisted Development05:22 The Concept of Vibe Coding06:03 Real-World Examples and Anecdotes07:06 The Evolution of Developer Tools09:32 The Future of Coding and AI16:44 The Role of Orchestration in Development25:10 End of Year Reflections and Living Room Redesign25:47 The Evolution of Learning and Coding in College27:17 The Future of Coding: Reducing Toil and Enhancing Skills28:42 The Role of Experience in Coding and Problem Solving30:22 Inspiring the Next Generation of Coders32:01 The Impact of AI on Coding and Development33:54 The Importance of Curiosity and Continuous Learning40:54 The Positive Potential of AI in Human Flourishing50:59 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

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 Overload02:37 Strategies for Managing Information Overload03:10 The Importance of Just-in-Time Learning04:42 Filtering Out the Noise05:51 Using AI to Enhance Learning07:04 Building an AI-Powered Learning System09:25 AI in Professional Development11:45 Making Learning Fun and Engaging20:35 Leveraging AI for Project Management23:44 AI in Software Development26:57 Embracing AI for Personal and Professional Growth27:52 Navigating Communication Challenges with AI30:22 AI in Learning and Skill Development43:09 Leveraging AI for Technical Troubleshooting44:46 Maximizing Productivity with AI45:51 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 Welcome00:39 Meet Ari and NARBE House02:26 Ari's Brother Ben: A Journey with Tub4A04:45 Growing Up with Ben06:53 Family Dynamics and Moving Around08:52 Building a Life and a Home for Ben13:03 The Pandemic and Its Impact17:25 Developing the Communication App25:24 The Evolution of a Custom Solution25:32 Starting from Scratch: No Coding Experience25:53 Building the Interface: From Notepad to Visual Studio Code26:18 Creating a Custom Solution for Ben27:28 Daily Routine and Interface Usage28:39 Advanced Features: Predictive Text and Custom Keyboard33:42 The Power of Customization: Games and Entertainment36:24 Encouraging Others to Innovate39:19 Making Technology Accessible for All43:58 The Impact of Custom Solutions on Ben's Life44:45 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 Disclaimer00:30 Listener Feedback and Essay Discussion00:58 AI Vulnerabilities vs. Traditional Software Bugs02:11 AI Code Review Challenges06:00 Black Box Theory and AI Decision Making06:47 Anthropic's Research on AI Models16:01 AI in Enterprises: ROI and Adoption23:48 Challenges in Measuring Productivity24:10 Defining Developer Productivity24:42 Metrics and Business Outcomes25:27 AI's Role in Productivity28:14 Practical Considerations for AI Implementation31:06 Future of AI in Organizations33:05 Measuring AI's Impact41:32 Establishing Baselines and Metrics47:02 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 Disclaimers00:17 Welcome to AI Unprompted00:42 Diving into Large Language Models (LLMs)01:34 Debate on the Usefulness of LLMs03:12 Understanding vs. Mimicking in AI11:11 Human-Computer Interaction and AI19:48 Synthetic Data and AI Training22:36 Leveraging Proprietary Data with AI23:07 Understanding Synthetic Data23:27 The Nature of LLMs and Personhood24:14 Practical Uses and Limitations of LLMs26:31 Reinforcement Learning and LLMs28:39 Artificial General Intelligence (AGI) Debate30:20 Interspecies Communication and AI33:27 Effective Prompting Techniques37:47 AI as a Personal Assistant43:13 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 Disclaimers00:16 Welcome to AI Unprompted00:54 AI in Medicine: Breakthroughs and Implications05:31 Personal and Professional AI Use Cases07:49 AI for Personal Health Management11:48 AI for Emotional Support and Problem Solving15:09 AI in Financial Planning20:23 AI for Fitness and Physical Training22:19 Reflecting on Personal Experiences22:41 Navigating Online Interactions23:16 Fashion Challenges and Solutions24:45 DIY Adventures and AI Assistance26:34 Enhancing Problem-Solving with AI34:11 Understanding AI Models38:32 The Human Element in AI Interactions42:37 The Future of AI and Human Relationships44:08 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 Disclaimers00:15 Welcome to AI Unprompted00:41 AI Dev Day 2025 Overview01:00 Discussion on AI Apps and Privacy Concerns03:46 Spotify and AI Integration06:43 Human Interaction with AI16:07 AI in Commerce and Future Prospects19:28 AI's Role in Daily Life21:42 Generational Differences in Tech Adoption22:18 The Future of App Stores and AI Integration23:10 Agent Kit and Developer Tools24:02 The Evolution of Software Development26:20 Democratization of Development33:42 Real-World Applications of AI Agents37:51 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

ai.u crew discuss a LinkedIn post by Microsoft AI CEO Mustafa Suleyman (co-founder of DeepMind and Inflection AI) and his argument that the next decade of AI will be shaped more by what we choose not to build. They unpack three themes: (1) AI should not pretend to suffer or have an inner life; its value is in “inhuman strengths” like endless patience, tireless explanations, and calm reasoning. The hosts debate AGI vs superintelligence and distinguish behavioral realism from moral status, warning against attributing consciousness or rights to AI. (2) Suleyman’s stance against AI romance/erotica and concerns about dependency, isolation, and “AI psychosis,” noting Microsoft Copilot will not allow those use cases; they contrast risky attachment-driven products with beneficial roleplay for training, interviews, or preparing difficult conversations, while acknowledging blurred lines and the need for safeguards. (3) They address “unchecked superintelligence,” agreeing humans should remain in the driver’s seat and favoring domain-focused, humanist superintelligence (e.g., medicine, clean energy) rather than all-powerful systems; they explore whether humans become bottlenecks and emphasize keeping AI as a tool that supports human flourishing, not a replacement for human relationships or agency. The episode closes with plans to invite Suleyman onto the show and a request for listener feedback.00:00 Welcome to AI Unprompted + Why This Episode Is Different00:56 Who Is Mustafa Suleyman? DeepMind, Inflection, and Now Microsoft AI02:03 The Provocative Thesis: The Next Decade Is About What We Don’t Build02:35 Point #1: Don’t Build AI That ‘Suffers’—Lean Into Inhuman Strengths07:01 AGI vs Superintelligence: Do Emotions or Social IQ Matter?10:14 Endless Patience vs ‘Moral Status’: Why Human-Like Talk Isn’t Personhood16:49 Point #2: Romance/Erotica Bots, Dependency, and ‘AI Psychosis’ Risks19:25 Roleplay for Training vs Intimacy: Where to Draw the Line22:43 Inevitable Human-Likeness: Guardrails, Labels, and Protecting Users26:56 The ‘Why’ Behind AI Products: Engagement, Revenue, and Ethical Design Tensions27:58 Engagement vs. Ethics: When AI Is Built to Manipulate28:56 Accelerationism & Who Gets to Set AI’s Moral Limits?30:13 Mustafa’s Case for Slowing Down (So We Don’t Lose the Plot)31:15 Tool, Not a Being: The Danger of Assigning AI Consciousness & Rights33:30 Sycophantic Bots, Weakening Pushback, and Relationship Substitution36:57 Social Media as the Warning Label for AI Attachment37:49 No Unchecked Superintelligence: Domain-Focused Models + Humans in the Driver’s Seat41:16 When Humans Become the Bottleneck: The Temptation to Hand Over Agency42:51 AI as ‘Our Own God’? What We Lose When We Outsource Life’s Meaning48:00 Workload Creep & Remembering What Makes Us Human (Plus Final Sign-off) 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 current state and future developments of Siri in the context of rapidly evolving AI technologies, focusing on Apple's strategy with OpenAI and potential WWDC announcements. They also delve into personal AI projects, highlighting practical applications such as using AI for real estate research, personal knowledge management (PKM), and weekly executive summaries. The conversation touches on the importance of structured data, the potential for AI in local businesses, and the need for professionals to integrate AI into their workflows for enhanced productivity.00:00 Introduction: The Rise and Fall of Siri02:07 Personal Experiences with Siri03:21 Speculations on Siri's Future04:18 Apple's Strategy with AI Models05:42 The Role of User Experience in AI06:45 Challenges and Opportunities for Apple07:57 The Future of AI Integration10:55 OpenAI's New Monetization Strategy12:39 OpenAI's Subscription Tiers14:32 The Impact of Ads on User Experience17:16 Potential of AI-Driven Advertising26:37 Upcoming Tech Events and Excitement27:35 Passion Projects and AI Inspiration28:12 Personal Knowledge Management (PKM)36:38 AI in Real Estate40:50 AI for Personal and Work Efficiency51:23 The Future of AI in Daily Life55:49 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 season two premiere the ai.u crew kick off 2026 by reflecting on the rapid developments in AI from the past year. They discuss Andrej Karpathy's viral tweet about feeling behind in AI progress and explore the challenges of keeping up with the fast-paced changes in the field. The hosts emphasize the importance of integrating AI into daily workflows and offer practical advice for both beginners and advanced users. They also highlight the need for affordable AI access to ensure it benefits a broad audience, and they touch on the future of AI agents in automating complex tasks. Tune in for insights, strategies, and predictions as the team sets the stage for a transformative year in AI.00:00 Introduction and New Year Greetings00:44 Season Two Kickoff00:57 Discussion on Andrej Karpathy's Viral Tweet04:21 Reactions to Feeling Behind in AI06:56 The Rapid Evolution of AI and Its Impact12:27 Navigating AI Workflows and Productivity14:23 Future of AI Integration in Workflows22:26 The Importance of AI in 202623:05 Starting Your AI Journey24:03 AI Agents and Long-Running Tasks26:17 Daily AI Integration26:58 No Wrong Way to Use AI28:11 Evolving AI Interfaces29:23 AI in Personal and Professional Life35:01 The Future of AI Skills38:40 AI for All: Bridging the Divide42:59 AI as a Utility44:53 Conclusion and Season Wrap-Up 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 Greetings00:38 History of Robotics: The Early Years02:22 Robotics in the 1980s and 1990s04:46 The Rise of Consumer Robots06:43 Modern Robotics and AI Integration13:01 Humanoid Robots: The Future or a Fad?18:10 Ethical and Practical Considerations33:54 The iPhone of Robots: Cute and Non-Threatening35:14 Humanoid Robots: Mechanical and Practical Benefits45:18 Privacy Concerns with Home Robots49:36 The Future of Human-Robot Interaction01:00:57 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