Mind the Machine

Cheryl K. Goodman

Welcome to Mind the Machine, the podcast that uncovers the rapidly advancing world of technology and its profound connections with human kind. Hosted by Cheryl Goodman, author of How to Win Friends & Influence Robots

  1. 7 APR

    How to Build Your Own AI Digital Twin

    What if you could clone yourself… digitally? In this episode of Mind the Machine, Cheryl Goodman breaks down how to build your own AI-powered digital twin — a system that can think, write, and communicate like you. You’ll learn what a digital twin actually is, how it’s different from tools like ChatGPT, and the exact steps to create one using tools available today. More importantly, Cheryl walks through the most critical part of the process — how to structure your data, define your thinking, and train your AI so it actually reflects you. If you’re a founder, creator, or professional looking to scale your time and output, this is one of the most practical applications of AI you can start using right now. 00:00 What is a Digital Twin? 00:53 Welcome + Episode Overview 01:46 What You’ll Learn 02:05 What is a Digital Twin? (Definition) 03:01 Operational vs Personal Twins 04:39 Step 1: Gather Your Data 06:13 Decision Framework 07:57 Organizing Your Data 08:20 Step 2: Choose Your Platform (Claude, GPT) 09:02 Starter vs Advanced Twins 11:36 Step 3: System Prompt (Most Important Step) 13:07 How to Think Like Your Twin 13:57 Iteration & Testing 14:18 Step 4: Upload & Organize Data 15:27 Maintenance + Updates 15:52 Privacy & Security 16:19 Step 5: Testing Your Twin 17:23 How to Use Your Twin 18:52 Why This Is Different From ChatGPT 19:43 Treat It Like a Living Asset 20:02 Common Mistakes to Avoid 21:42 Final Thoughts 22:06 Recap  22:28 The Bigger Opportunity 23:11 Outro

    24 min
  2. 13 MAR

    AI Will Be in Everything You Do Soon. Get Ready.

    AI is rapidly transforming how work gets done, but most people are only scratching the surface of what’s possible. In this episode of Mind the Machine, we sit down with Jay Hack, Head of AI at ClickUp and co-founder of Codegen, to explore how AI is changing productivity, software, and the future of work. Jay shares his journey from studying AI at Stanford to building startups and eventually leading AI strategy at one of the fastest growing work platforms in the world. We discuss common myths about AI, why hallucinations shouldn’t stop you from using it, and why learning AI today may be as important as learning to use the internet in the 1990s. If you’re curious about where AI is headed and how it will reshape the way humans work alongside intelligent systems, this conversation offers a thoughtful and optimistic perspective. Follow Mind the Machine Instagram: https://www.instagram.com/mindthemachinepodcast TikTok: https://www.tiktok.com/@mindthemachinepodcast Website: https://findgood.tech/ LinkedIn: https://www.linkedin.com/company/findgood-tech/ Timestamps 00:00 Introduction and why AI will shape everything we do 00:18 Meet Jay Hack, Head of AI at ClickUp 01:06 Jay’s background and early interest in AI 03:30 Learning AI as a student and early machine learning work 05:40 What AI looked like before ChatGPT 07:00 The biggest myths people believe about AI 08:30 Why AI hallucinations shouldn’t stop you from using it 12:30 Why AI will transform industries like medicine and law 15:30 What it means to build an AI-native company 18:20 The rise of AI agents and productivity tools 22:00 How ClickUp is integrating AI into work 26:00 AI tools people should explore beyond ChatGPT 29:40 Why the future of work will involve humans collaborating with AI 33:00 “A nation of geniuses in a data center” and what that means 36:00 Final thoughts on learning AI today

    46 min
  3. 20 FEB

    The Hope in AI: How to Lead Confidently and Build Without Fear

    Artificial intelligence feels overwhelming for a lot of people right now. The speed is fast, the tools are endless, and the noise can make it hard to know what actually matters.In this keynote-style talk, Cheryl Goodman reframes AI through a different lens: not hype, not fear, and not magic, but understanding. By grounding AI in history, fundamentals, and purpose, this session focuses on how real people and organizations can think clearly, act responsibly, and move forward with confidence.You’ll learn why AI is a general-purpose technology, how to think about risk and cost, what hallucinations really are, and why understanding matters more than speed. Most importantly, this talk centers on the idea that hope in AI is not wishful thinking, but a valid expectation when knowledge replaces fear.This a framework for leading and building in the age of AI.AI Fluent Course: https://findgood.tech/ai-fluent-in-person-course/Book Cheryl to speak at your company or community, she’s trained executives at Fortune 100 companies and has taught practical AI courses at 7 universities and has led a series of Hack-a thons for all levels of learners. You can submit a booking inquiry through FindGood.tech speaking contact page to discuss keynotes, panels, or corporate events. https://findgood.tech/speaking/AAE Speakers Bureau: You can check her availability and request fee information through All American Entertainment (AAE). They handle logistics, offer negotiations, and contractual assistance.Direct Contact: For general inquiries, her team can be reached at team@findgood.tech or via her LinkedIn profile. https://www.linkedin.com/in/ckgoodman00:00 Introduction – What This AI Talk Promises01:23 The “Three Theories” Behind AI03:17 The Hope in AI Framework04:54 What We’ll Cover Today06:20 Where Do You Stand on AI?08:11 The Generative AI Explosion09:41 Why AI Is Not Just Hype12:19 Why Speed Isn’t the Goal14:18 What AI Actually Is15:26 Tokens – The True Cost of AI17:18 Core Concepts: Vectors, Embeddings, Weights18:19 Everything Is Numbers – How Prediction Works22:42 Temperature – Creativity vs Predictability24:10 Context, Meaning & Word Embeddings26:13 Weights & Bias – Why Training Matters31:56 Hallucinations & Error Rates33:32 AI as a Partner (Not a Replacement)35:12 What AI Can Already Do36:05 Prompt Engineering Explained38:42 Jobs, Infrastructure & Investment Implications39:10 The Hope Framework Recap40:48 Final Takeaways

    41 min
  4. 22 GEN

    The Hidden Patterns That Kill Businesses (and the Framework to save them)

    Doug Harrison breaks down the 10 mind traps he’s seen repeatedly while working with over a thousand brands and businesses. These traps are subtle, common patterns that work against people’s best interests without them realizing it: the Over-Explainer, the Copycat, the Day Jobber, the Tactician, the Pillar Pitcher, the Glorifier, the Defender, the Interrogator, and the Schmoozer. Doug explains why they happen, how they create risk in the buyer’s mind, and why clarity is the real advantage.Then the conversation shifts into Doug’s next chapter: the Keep Rising platform, built to solve what happens between appointments for advisors like therapists, coaches, case managers, and clinicians. The platform focuses on behavior change through systems instead of willpower, using “extreme humanness,” specificity, and a whole-brain approach to help people follow through on the habits they want to build.Get the book: https://www.amazon.com/Rise-Framework-Business-Distinctly-Matter/dp/1631959514Follow Mind the Machine:Instagram: https://www.instagram.com/mindthemachinepodcastTikTok: https://www.tiktok.com/@mindthemachinepodcastWebsite: https://findgood.tech/LinkedIn: https://www.linkedin.com/company/findgood-tech/0:00 Intro0:30 Episode overview and guest intro1:07 Setting up the mind traps concept1:57 Overexplainer3:09 Copycat4:00 Day Job5:42 Tactician8:02 Pillar Picture21:41 Glorifier26:24 Defender27:07 Interrogator28:18 Schmoozer29:36 Reflecting on all mind traps32:36 Transition to the Rise / Keep Rising framework37:50 Whole-brain approach to behavior change45:21 Why good intentions fail52:57 Closing remarks

    53 min
  5. 19 GEN

    CES 2026 | AI Is Changing EVERYTHING

    CES 2026 made one thing clear: AI is no longer something we open in a browser. It is becoming the interface for everything around us. From humanoid robots and autonomous vehicles to edge AI, cooling breakthroughs, and voice-first homes, this episode explores how artificial intelligence is moving out of the cloud and into the physical world. Recorded on the show floor and inside CES’s new “Foundry” experience, this recap covers NVIDIA’s compute platforms, Agility Robotics’ Digit humanoid, AI-powered vehicles, Qualcomm’s edge strategy, and a deep dive into Frore Systems’ solid-state AirJet cooling technology. The common thread is simple but massive: performance, intelligence, and autonomy are now constrained less by software and more by hardware, thermals, and form factor. We also zoom out to the bigger question CES raised this year: if AI is becoming a medium rather than a feature, what does that mean for our homes, devices, and daily lives? From robotics skepticism to voice-controlled AI hubs, this episode breaks down what is real, what is hype, and what is coming sooner than most people expect. 00:00 CES 2026 recap and first impressions 00:52 AI is no longer a tool, it is the new UI 01:06 Inside CES’s new Foundry and NVIDIA compute 01:50 Robotics, generative AI, and the future of household labor 02:07 Are we actually ready for robots in our homes? 02:19 Sponsor message 02:31 Meet Digit and the rise of humanoid robotics 03:29 Why CES has quietly become a car show 04:10 AI cars, edge compute, and on-device intelligence 05:01 NVIDIA-powered vehicles and Jensen Huang’s keynote moment 05:46 NVIDIA Blackwell, Rubin, and Piper explained 06:09 Where real CES business actually happens 06:31 Frore Systems and the AirJet cooling breakthrough 07:25 How solid-state cooling changes device design 08:47 Qualcomm reference designs and thin-form AI devices 09:35 Why AI moving to the edge changes everything 10:39 Thermal limits as the new performance bottleneck 10:59 Qualcomm’s AI hardware strategy 11:45 Who AirJet is actually built for 12:22 CES reflections and industry relationships 12:42 Voice, AI hubs, and a future with fewer screens 13:21 AI as a medium and final CES 2026 takeaways

    14 min
  6. 6 GEN

    Why Human-Centered AI Is the Only AI That Works

    In this episode of Mind the Machine Podcast, we sit down with Stephanie Sylvester, CEO of Avatar Buddy, to explore what human-centered AI actually looks like in practice. Stephanie explains why the real power of AI lives at the intersection between humans and machines, and how small language models can deliver more accurate, secure, and aligned outcomes than massive general-purpose models. She shares clear analogies for understanding LLMs versus SLMs, explains how “managed AI as a service” helps organizations maintain consistency and control, and outlines how AI can increase self-agency rather than replace people. The conversation also dives into jobs of the future, the skills that will matter most in an AI-driven world, and how thoughtful AI design can reduce bias, support marginalized communities, and create real win-win-win outcomes for workers, companies, and society. Follow Mind the Machine: Instagram: https://www.instagram.com/mindthemachinepodcast TikTok: https://www.tiktok.com/@mindthemachinepodcast Website: https://findgood.tech/ LinkedIn: https://www.linkedin.com/company/findgood-tech/ Timestamps 00:00 – The human-AI continuum and why AI should amplify people 00:30 – Introduction to Stephanie Sylvester and Avatar Buddy 01:38 – What Avatar Buddy does and why “everyone needs a buddy” 03:00 – The human-digital handshake explained 04:25 – Why AI can be a true win-win-win solution 05:30 – Large language models vs small language models 06:30 – The library analogy for understanding SLMs 08:00 – Reducing hallucinations and validating AI outputs 09:00 – Privacy, security, and ecological benefits of small models 10:00 – How businesses win with managed AI and consistent data 11:30 – Brand consistency, compliance, and AI as institutional memory 13:40 – Jobs of the future and the skills that matter most 15:00 – Resiliency, creativity, and learning in an AI world 17:30 – Critical thinking, problem solving, and managing AI output 18:30 – Hiring for humble, hungry, and smart 20:00 – AI-powered recruiting with dignity 22:30 – Using AI to practice interviews and build confidence 23:30 – Fears, concerns, and misinformation around AI and jobs 25:00 – AI, equity, and empowering marginalized communities 26:00 – What excites Stephanie most about the future of AI 26:52 – Closing thoughts and where to find Avatar Buddy

    27 min

Descrizione

Welcome to Mind the Machine, the podcast that uncovers the rapidly advancing world of technology and its profound connections with human kind. Hosted by Cheryl Goodman, author of How to Win Friends & Influence Robots