ai unprompted

Ryan, Kevin, and Travis recap Microsoft Build 2026 (June 2–3 in San Francisco), describing it as Microsoft’s “coming out party” as an independent AI platform spanning models, custom silicon, an “agent OS,” a new assistant (Scout), and a full developer stack positioning Windows and Azure as the home base for the agentic era. Key announcements include a developer-optimized Windows with built-in Linux containers and two local Windows AI models (Aon 1.0 Instruct and AI 1.0 Plan), Nvidia ARM-based Surface RTX Spark Dev Box and Surface Laptop Ultra capable of running ~120B-parameter models locally, Project Solara for agent devices (including an AI-enabled badge concept), seven in-house MAI models, Scout as a proactive M365 assistant, execution containers for sandboxed agents, Majorana 2 quantum chip updates, Foundry as an end-to-end agent platform with “IQ” data tooling, GitHub Copilot app, open governance frameworks (Assert), and Microsoft M-Dash for agentic threat hunting.00:00 Welcome to Build 202601:19 Big Picture Recap02:46 Reactions and Takeaways05:48 Windows Goes Developer First07:42 Local Models and Control11:11 AI Data Center at Every Desk14:04 Surface RTX Spark Dev Box18:25 Unmetered Intelligence and Token Costs22:03 Project Solara Agent Devices26:55 Jarvis Everywhere Vision31:19 Privacy Walled Gardens and Trust38:23 Solaris Three Pillars39:33 Agents Everywhere Future40:12 Seven New MAI Models42:05 Frontier Tuning Explained47:21 Satya Vision Ecosystem52:26 Scout Autopilot Assistant01:01:12 Execution Containers Security01:02:39 Majorana 2 Quantum Leap01:06:54 Day Two Foundry IQ01:11:23 Governance And Mdash01:15:17 Wrap Up And Takeaways 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

Ryan, Kevin, and Travis recap Google I/O 2026 announcements, emphasizing Google’s rapid AI push across its products. They discuss Gemini 3.5 Flash as a fast, lower-cost frontier model optimized for long agentic tasks, rolled into Search and YouTube at scale, and Gemini Omni/Omni Flash for multimodal creative generation using models like Veo and Imagen. Google Search is overhauled into a multimodal, generative, interactive results experience, raising concerns about provenance and web economics as answers bypass creators. They cover Gemini Spark, a 24/7 cloud-based consumer agent integrated into Chrome and Google apps, plus daily briefings and background “information agents.” Other topics include a universal cart via a commerce protocol, SynthID watermarking with major partners, and announced Android XR audio/display glasses with partners like Warby Parker and Samsung.00:00 Welcome and agenda01:36 What Google I/O is03:06 Gemini 3.5 Flash debut04:21 Speed cost and rollout05:59 Google comeback narrative09:22 Omni Flash creative suite12:55 AI video realism concerns14:54 AI Search overhaul17:11 Trust provenance and web economics22:18 YouTube summaries and Ask YouTube24:29 Gemini Spark personal agent26:52 Ultra plan lock in and privacy tradeoffs35:05 Convenience vs Societal Costs35:46 Pandoras Box and Downstream Risks36:37 Humans Leaving the Value Chain39:09 Agency vs Algorithmic Feeds41:16 Gemini Daily Briefing42:08 Antigravity and Developer Orchestration43:09 Information Agents and Signal vs Noise50:44 Universal Cart and Commerce Protocol52:52 Will Merchants Opt In55:14 Google Product Longevity and Compute Limits57:09 SynthID Watermarking and Truth Concerns01:00:39 Android XR Glasses and Attention Economy01:05:45 Who Actually Needs XR01:07:44 Wrap Up and Listener 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

Ryan, Kevin, and Travis discuss how impossible it is to keep up with AI’s pace and use recent OpenClaw updates to illustrate what’s happening at the “tip of the spear.” They recap an OpenClaw community-driven plugin architecture overhaul that caused short-term instability but created a smaller stable core with extensible plugins. They cover new voice interaction options, including Discord real-time voice features (buffers, barge-in detection, echo control), bringing agents into Google Meet via Twilio dial-in, and broader implications of voice and multimodal “thinking machines” interaction models. The hosts explore cognitive debt/coherence challenges as AI builds faster than humans can comprehend, and highlight OpenClaw’s security hardening (1,300 advisories processed) plus major memory upgrades that create structured person cards and a wiki-like knowledge base, raising governance and compartmentalization concerns for enterprises. They also note improved commitment tracking, self-modifying/self-building capabilities, and auto-generated skills.00:00 Welcome Back Setup00:55 Why Youre Behind01:13 OpenClaw Overview02:22 Community Moves Fast03:04 Plugin Overhaul Fallout04:25 Stable Core Plugins05:39 Pick Your AI Strategy08:48 Cognitive Debt Explained10:26 Daily Reps Mindset12:07 Voice Comes to OpenClaw13:04 Discord Voice and Meet18:21 Metacognition Modalities21:30 Do You Need Code26:09 Voice vs Text Context29:35 Thinking Machines Tease29:39 Interaction Models Demo30:53 Voice Latency Tradeoffs33:27 Conversation Cues Vision36:39 OpenClaw Security Hardening38:31 Memory And Knowledge Base40:04 Enterprise Governance Dilemma45:21 Corporate Brain Example48:59 Auto Commitments Heartbeat51:45 Stability Updates Skills52:44 Wrap Up And Thanks 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

Ryan, Kevin, and Travis return for a news roundup and announce Kevin’s resignation from Microsoft after getting funded for a startup applying “human-led, agent-operated” AI to small, underserved mining operations (Kai Radian). Listener feedback highlights Tauric Research, a multi-agent financial trading framework with analyst, research, trader, and portfolio-manager roles, raising concerns about overconfidence and automation. They discuss Anthropic previewing Claude’s “dreaming” memory consolidation and frame “harnesses” as orchestration/scaffolding that improves signal, manages context, and mixes deterministic workflows with LLM judgment, including models checking each other. They cover Anthropic using SpaceX’s Colossus I compute in Memphis to boost Claude Code limits, Mozilla using Claude Mythos to find 271 bugs in a month, reports that 39% of new podcasts are AI-generated “slop,” and a four-year Actors Guild deal adding AI protections for voice/likeness and writers’ rights.00:00 Welcome Back Updates00:52 Kev Leaves Microsoft01:37 Mining Startup Vision04:18 Mine Talk Banter04:48 Listener Feedback Trading Agents09:11 Claude Dreaming Memory12:58 What Is A Harness17:57 Determinism Vs Judgment20:58 Anthropic SpaceX Compute26:54 Mythos Finds Firefox Bugs30:22 AI Security Attack Vectors31:21 AI Podcast Flooding34:33 AI Slop in Communities38:25 Brain Atrophy and AI39:51 Actors Guild AI Protections44:31 Oscars and Human Eligibility49:07 Democratizing Creativity52:46 Human Storytelling Matters54:08 Wrap Up 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

ai.u crew talk to Omar Shahine, Microsoft Corporate Vice President of OpenClaw and Microsoft 365, about his tech origins and career. Omar recalls getting an Apple IIe in third grade, automating tasks with tools like FileMaker Pro, and arriving at Microsoft via a 1995 blog and a 1999 tester internship after being rejected from medical school. He highlights formative work in the Mac business unit during Apple’s revival and scaling OneDrive to hundreds of millions of users. Omar describes leadership lessons centered on customer focus and empowering teams, then explains how using Claude Code and building an OpenClaw assistant named “Lobster” (e.g., proactive meeting texts, family coordination, automation tools) led to a viral blog post, a presentation in a Satya-hosted forum, and a role transition to build this capability for Microsoft 365, emphasizing trust, feedback, and personalized, agent-driven productivity.00:00 Welcome and Guest Intro01:12 Early Tech Spark Apple II03:08 From Pre Med to Microsoft05:15 Thrown in the Deep End06:47 Pinch Me Career Moments09:08 Leadership Lessons at Scale12:27 Why OpenClaw Matters14:11 Building Lobster Assistant19:54 Going Viral Inside Microsoft22:40 Joining the OpenClaw Team24:45 The Story Behind the Hype25:43 Why Software Feels Hard27:21 Agents Over Buttons29:16 Personalized Agent Loops31:17 Trust and Accountability34:56 Customer Pull and DIY Agents37:30 Agents Talking Together40:08 Tooling Everyday Life41:55 Agent Friendly Internet46:24 Advice for Newcomers48:11 CoWorker Demo and Wrap 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 the announcement of Claude Mythos preview, a new “frontier model” not released publicly but deployed through a cybersecurity coalition called Project Glasswing. They describe Glasswing’s 12 founding partners (AWS, Apple, Broadcom, Cisco, CrowdStrike, Google, JP Morgan Chase, Linux Foundation, Microsoft, Nvidia, Palo Alto Networks, and Anthropic) and report that Mythos found thousands of zero-day vulnerabilities across major operating systems and browsers, including a 27-year-old OpenBSD bug, a 16-year-old FFmpeg issue, and autonomously chained Linux kernel vulnerabilities to escalate privileges. They note benchmark gains (e.g., 66.6% to 83.1% on a security exploit test and 53% to 64% on “Humanity’s Last Exam”), partner feedback that exploit windows are now minutes, concerns about abstraction and cognitive debt, and Anthropic’s $100M credits plus $4M open-source donations, with ongoing U.S. government discussions and future safeguards before broader capability release.00:00 Welcome and Setup00:57 Mythos and Glasswing02:31 Coalition Partners03:41 Zero Day Discoveries05:09 Chaining Exploits Explained06:14 Benchmarks and Scores08:16 Not Just Cybersecurity11:27 Oppenheimer Moment15:26 Partner Results19:18 Governance and National Security21:16 Digital World Risks22:20 Digital Fragility Fears22:54 AI Distance From Work24:15 Cognitive Debt Explained25:48 Agents Everywhere Future27:29 Self Healing Systems Drift29:36 Alignment Goals And Means33:04 Autonomous AI Companies35:10 AI For AI Economics38:39 Governance Tool Access Risks40:54 Mythos Security Outlook42:58 Blackwell Training Breakthrough44:02 Costs Credits And Zero Days45:53 Model Therapy And Dreaming46:58 Safeguards 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 continue their discussion on using new AI tools to “automate yourself,” focusing on agentic products like Claude Cowork, Microsoft Cowork, and Perplexity Computer, how to get started, and subscription costs. They note Claude’s $20/month plan is quickly token-limited and may require upgrading to a higher tier (about $125/month) for sustained use. Kevin describes Cowork controlling a browser to complete a driver safety course (with user oversight), building presentations, and scraping hundreds of sites to assemble a financial model, while cautioning that token use can make simple web tasks inefficient and that guardrails are necessary. Travis highlights common low-hanging uses like consolidating transcripts/emails into documents and raises tensions with websites that block bot behavior, the ad-driven web, and paywalls. The group debates how agents shift attention, incentives, and agency, increase output volume, distance people from work and reality, and change how they read, learn, and connect online, while noting growing experimentation across nontechnical professionals.00:00 Welcome Back and Setup00:37 Part Two on Automation01:46 Getting Started With Claude02:02 Pricing and Token Limits03:19 Kevin Tests Cowork03:53 Driver Safety Course Demo05:22 Scraping and Token Tradeoffs07:20 Travis Low Hanging Use Cases08:05 Web Bots vs Site Defenses09:54 Ads and the Agentic Web17:18 Subscriptions and Paywalls19:54 Claude Add Ins and Dispatch22:44 Building Pitch Decks Fast23:58 Agents Change Human Attention25:34 Personal Assistants and Insularity28:11 Debating an Article With AI29:28 Simulated Debate vs Humans30:06 AI Comment Slop on LinkedIn30:57 Skipping the Messy Learning32:47 Everyday People Try AI33:58 Life With AI Assistants34:58 Developers and Abstraction Drift36:23 Outcomes Over Outputs37:04 Summaries and Shrinking Attention37:59 Agents Gatekeeping Humans39:12 Whose Agent Is It40:01 Trust Without Expertise41:44 Drowning in Agent Activity43:22 Robots and Household Tasks45:49 High Agency vs Low Agency47:51 Writing for Agents Now50:15 Proximity Still Matters51:44 Subscription Agents Everywhere52:39 Wrapping Up the Agent Era53:43 Agents Talking to Agents54:26 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

ai.u crew discuss the shift from prompt-response AI chatbots to “AI coworkers” or computer-use agents that perform multi-step work across apps, highlighting Anthropic’s Claude Cowork ($20–$200/month), Microsoft Copilot Tasks ($30/user/month), and Perplexity Computer ($200/month). They describe the interaction change from asking questions to delegating outcomes, with humans increasingly acting as supervisors who define context, monitor progress, and apply judgment, while noting concerns that convenience may erode competence and that many workflows require undocumented institutional knowledge. They debate whether automating tasks is always worth the setup and trust costs, and suggest processes and software may need redesign. They also examine Anthropic’s qualitative study using an AI interviewer for 81,000 participants, weighing scale and multilingual benefits against lost human connection and empathy.00:00 Welcome And Topic Shift01:11 New Coworker Tools Overview02:36 From Prompts To Delegation04:41 Agency And Real Examples08:22 Matt Wants Automation10:24 Supervisor Mindset And Skills14:28 Convenience Versus Competence22:01 Three Lanes Of Coworkers24:56 Token Spend And Real Debugging29:26 Autopilot Limits And Hidden Knowledge32:03 Tools Need Skill33:08 Prompting Meets Expertise35:44 Tribal Knowledge Problem38:11 Is Automation Worth It38:49 Trust And Context Costs41:03 New Companies Advantage42:00 AI As Flourishing Tool44:31 Claude Interviews Study48:57 What Humans Add50:45 Where AI Fits Best54:11 Human Connection Matters56:51 Wrap Up 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

ai.u crew discuss AI’s growing impact on creative industries, citing news that YouTube surpassed Disney as the world’s largest media company with $62B in projected 2025 revenue and that Ben Affleck’s AI-focused filmmaking venture was reportedly acquired by Netflix for $600M, signaling generative tools entering mainstream production. They debate whether AI further democratizes creation like YouTube did, while threatening economic viability for working artists (e.g., Kevin’s graphic-artist daughter) and potentially flooding markets with content. They explore whether art must be “real” to feel real, comparing AI to CGI, animation, and Pixar, and note an AI-generated animated film, “Critters,” debuting at Cannes. Travis warns personalized, self-tailored content could deepen cultural silos, while others predict personalized movies and music will grow, as seen in their use of Suno.00:00 AI Hits Hollywood02:46 YouTube Beats Disney03:16 AI Democratizes Creation05:04 Artists Feel The Squeeze07:34 Does It Need To Be Real09:36 CGI To Full AI Films14:11 AI As Creative Coach18:16 Economic Fallout For Creators21:58 Personalized Movies And Music29:28 Art As Shared Experience30:58 Personalized Content Silos32:19 Can AI Create Real Drama33:24 Artists Versus Prompting34:43 Suno And Making Your Own Music36:16 Authenticity After The Flood37:24 Tribes And Lost Shared Culture38:58 AI Characters And Fan Versions40:02 Uncanny Valley In Emotion44:01 Will Smith Spaghetti Breakthrough46:13 Follow The Money In Hollywood51:21 Prosumer Creativity Everywhere54:28 Lowering Barriers With Guardrails57:42 Artist Pushback And Human Only Labels59:13 Wrap Up And Listener 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

Ryan, Travis and guest Shayne Boyer from Microsoft discuss “agent orchestration,” or humans coordinating multiple specialized AI agents to complete multi-step tasks. They cite recent developments like Perplexity Computer, Google/Samsung Gemini multi-step mobile agents, Open/Claude tools, and Microsoft Copilot Tasks, and explain that routing work to the best model and giving agents tool access are key trends. The conversation stresses that despite hype, agents are brittle, often produce low-value output, and require heavy human “composer/puppet master” supervision, clear prescriptions, guardrails, evaluation, and delegation skills. They compare multi-agent setups to specialized human teams, planning/execution/eval roles, and even autopilot risks around over-trust, while noting sustainability and cost/token limits. They encourage listeners to start small and gradually delegate tasks without becoming paralyzed.00:00 Welcome and Guest Intro01:05 What Agent Orchestration Means03:18 Why Agents Are Everywhere Now04:15 Travis on Agentic Computing06:11 Shane on Jarvis Dreams08:26 When Agents Fail Hilariously09:56 Tools and Model Routing11:38 Delegation and Trust Risks14:50 How Orchestration Works18:25 Ant Farm Multi Agent Experiment21:14 Why Multi Agent Helps25:49 Baseball Team of Agents27:56 Sustainable AI Pace28:55 Empowered PR Culture30:26 Grumpy Reality Check34:57 Gardening the Agents38:46 Supervision Is the Job42:27 Managing Agent Teams44:07 Multi Agent Life45:28 Token Costs and Access47:43 Demystify the Hype50:06 Try It Step by Step51:17 Wrap Up and Thanks 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

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 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

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

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

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