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 Setup

00:37 Part Two on Automation

01:46 Getting Started With Claude

02:02 Pricing and Token Limits

03:19 Kevin Tests Cowork

03:53 Driver Safety Course Demo

05:22 Scraping and Token Tradeoffs

07:20 Travis Low Hanging Use Cases

08:05 Web Bots vs Site Defenses

09:54 Ads and the Agentic Web

17:18 Subscriptions and Paywalls

19:54 Claude Add Ins and Dispatch

22:44 Building Pitch Decks Fast

23:58 Agents Change Human Attention

25:34 Personal Assistants and Insularity

28:11 Debating an Article With AI

29:28 Simulated Debate vs Humans

30:06 AI Comment Slop on LinkedIn

30:57 Skipping the Messy Learning

32:47 Everyday People Try AI

33:58 Life With AI Assistants

34:58 Developers and Abstraction Drift

36:23 Outcomes Over Outputs

37:04 Summaries and Shrinking Attention

37:59 Agents Gatekeeping Humans

39:12 Whose Agent Is It

40:01 Trust Without Expertise

41:44 Drowning in Agent Activity

43:22 Robots and Household Tasks

45:49 High Agency vs Low Agency

47:51 Writing for Agents Now

50:15 Proximity Still Matters

51:44 Subscription Agents Everywhere

52:39 Wrapping Up the Agent Era

53:43 Agents Talking to Agents

54:26 Final Sign Off

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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 Shift

01:11 New Coworker Tools Overview

02:36 From Prompts To Delegation

04:41 Agency And Real Examples

08:22 Matt Wants Automation

10:24 Supervisor Mindset And Skills

14:28 Convenience Versus Competence

22:01 Three Lanes Of Coworkers

24:56 Token Spend And Real Debugging

29:26 Autopilot Limits And Hidden Knowledge

32:03 Tools Need Skill

33:08 Prompting Meets Expertise

35:44 Tribal Knowledge Problem

38:11 Is Automation Worth It

38:49 Trust And Context Costs

41:03 New Companies Advantage

42:00 AI As Flourishing Tool

44:31 Claude Interviews Study

48:57 What Humans Add

50:45 Where AI Fits Best

54:11 Human Connection Matters

56:51 Wrap Up And Feedback

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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 Hollywood

02:46 YouTube Beats Disney

03:16 AI Democratizes Creation

05:04 Artists Feel The Squeeze

07:34 Does It Need To Be Real

09:36 CGI To Full AI Films

14:11 AI As Creative Coach

18:16 Economic Fallout For Creators

21:58 Personalized Movies And Music

29:28 Art As Shared Experience

30:58 Personalized Content Silos

32:19 Can AI Create Real Drama

33:24 Artists Versus Prompting

34:43 Suno And Making Your Own Music

36:16 Authenticity After The Flood

37:24 Tribes And Lost Shared Culture

38:58 AI Characters And Fan Versions

40:02 Uncanny Valley In Emotion

44:01 Will Smith Spaghetti Breakthrough

46:13 Follow The Money In Hollywood

51:21 Prosumer Creativity Everywhere

54:28 Lowering Barriers With Guardrails

57:42 Artist Pushback And Human Only Labels

59:13 Wrap Up And Listener Feedback

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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 Intro

01:05 What Agent Orchestration Means

03:18 Why Agents Are Everywhere Now

04:15 Travis on Agentic Computing

06:11 Shane on Jarvis Dreams

08:26 When Agents Fail Hilariously

09:56 Tools and Model Routing

11:38 Delegation and Trust Risks

14:50 How Orchestration Works

18:25 Ant Farm Multi Agent Experiment

21:14 Why Multi Agent Helps

25:49 Baseball Team of Agents

27:56 Sustainable AI Pace

28:55 Empowered PR Culture

30:26 Grumpy Reality Check

34:57 Gardening the Agents

38:46 Supervision Is the Job

42:27 Managing Agent Teams

44:07 Multi Agent Life

45:28 Token Costs and Access

47:43 Demystify the Hype

50:06 Try It Step by Step

51:17 Wrap Up and Thanks

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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 Different

00:56 Who Is Mustafa Suleyman? DeepMind, Inflection, and Now Microsoft AI

02:03 The Provocative Thesis: The Next Decade Is About What We Don’t Build

02:35 Point #1: Don’t Build AI That ‘Suffers’—Lean Into Inhuman Strengths

07:01 AGI vs Superintelligence: Do Emotions or Social IQ Matter?

10:14 Endless Patience vs ‘Moral Status’: Why Human-Like Talk Isn’t Personhood

16:49 Point #2: Romance/Erotica Bots, Dependency, and ‘AI Psychosis’ Risks

19:25 Roleplay for Training vs Intimacy: Where to Draw the Line

22:43 Inevitable Human-Likeness: Guardrails, Labels, and Protecting Users

26:56 The ‘Why’ Behind AI Products: Engagement, Revenue, and Ethical Design Tensions

27:58 Engagement vs. Ethics: When AI Is Built to Manipulate

28:56 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 & Rights

33:30 Sycophantic Bots, Weakening Pushback, and Relationship Substitution

36:57 Social Media as the Warning Label for AI Attachment

37:49 No Unchecked Superintelligence: Domain-Focused Models + Humans in the Driver’s Seat

41:16 When Humans Become the Bottleneck: The Temptation to Hand Over Agency

42:51 AI as ‘Our Own God’? What We Lose When We Outsource Life’s Meaning

48:00 Workload Creep & Remembering What Makes Us Human (Plus Final Sign-off)

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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 Hosts

00:36 Big Week in AI: Major Releases

00:49 Kev's Recent Purchase: A Tesla Story

01:49 Tesla Delivery and Subreddit Experience

06:10 XR Glasses: A New Purchase

09:18 Anthropic's Latest Model: Claude Opus 4.6

11:36 AI Competition: Anthropic vs. OpenAI

13:14 AI Pricing and Market Strategies

17:12 Super Bowl Ads: AI Companies Compete

21:37 Google's Ad Revenue and AI Advertising

23:13 AI.com Handle and Crypto.com Ad

25:30 OpenAI's 5.3 Codex Release

33:09 PowerPoint Integration with Claude

34:35 AI Assistants: Kai and Jarvis

41:59 Concluding Thoughts and Feedback

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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 Welcome

00:40 The Rise of Open Claw

01:23 Understanding Open Claw

03:23 Personal Experiences with Open Claw

05:37 Technical Details and Setup

13:25 Security Concerns and Best Practices

22:36 Future Implications and Industry Impact

31:47 Ethical and Security Concerns of Open Claw

32:41 Agents Learning from Social Networks

34:14 Excitement and Risks of New Technology

35:42 The Rapid Evolution of AI Agents

38:47 Practical Applications and User Experiences

41:44 The Future of Personal Assistant Agents

47:51 Security and Community Involvement

57:43 Concluding Thoughts and Future Prospects

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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 Siri

02:07 Personal Experiences with Siri

03:21 Speculations on Siri's Future

04:18 Apple's Strategy with AI Models

05:42 The Role of User Experience in AI

06:45 Challenges and Opportunities for Apple

07:57 The Future of AI Integration

10:55 OpenAI's New Monetization Strategy

12:39 OpenAI's Subscription Tiers

14:32 The Impact of Ads on User Experience

17:16 Potential of AI-Driven Advertising

26:37 Upcoming Tech Events and Excitement

27:35 Passion Projects and AI Inspiration

28:12 Personal Knowledge Management (PKM)

36:38 AI in Real Estate

40:50 AI for Personal and Work Efficiency

51:23 The Future of AI in Daily Life

55:49 Conclusion and Final Thoughts

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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 Greetings

00:44 Season Two Kickoff

00:57 Discussion on Andrej Karpathy's Viral Tweet

04:21 Reactions to Feeling Behind in AI

06:56 The Rapid Evolution of AI and Its Impact

12:27 Navigating AI Workflows and Productivity

14:23 Future of AI Integration in Workflows

22:26 The Importance of AI in 2026

23:05 Starting Your AI Journey

24:03 AI Agents and Long-Running Tasks

26:17 Daily AI Integration

26:58 No Wrong Way to Use AI

28:11 Evolving AI Interfaces

29:23 AI in Personal and Professional Life

35:01 The Future of AI Skills

38:40 AI for All: Bridging the Divide

42:59 AI as a Utility

44:53 Conclusion and Season Wrap-Up

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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 Greetings

00:38 Season Finale Announcement

00:51 Introducing Brian Tupper

01:43 Brian's Background and AI Journey

03:22 AI in Education

14:00 Challenges and Ethical Considerations

28:49 Future of AI in Education

36:52 Integrating AI in the Classroom

38:14 Creative Learning with AI

40:44 The Future of Education with AI

42:17 Balancing AI and Human Interaction

45:13 Practical Applications and Experiments

48:37 The Role of Curiosity in Learning

01:00:02 Homework and Classroom Efficiency

01:04:11 Concluding Thoughts and Season Wrap-Up

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