Where Does the Human End and the Machine Begin?

The boundary between human and machine is becoming harder to define. Artificial intelligence can extend cognition, neurotechnology can connect directly with the nervous system, and brain-computer interfaces are beginning to challenge assumptions about where human capability ends and technological augmentation begins.

This collection from The Human Protocol explores human-machine intelligence through the intersecting worlds of neuroscience, neurotechnology, brain-computer interfaces, cognitive augmentation, hybrid intelligence, human-machine collaboration, and human agency.

These conversations examine both the science and the human consequences. How does the brain adapt to new technologies? What happens when machines do more than assist us and begin to augment cognition itself? Can technology expand human capability without diminishing human agency? How should we think about identity, autonomy, privacy, responsibility, and trust when the boundary between biological and technological intelligence becomes less distinct?

The playlist includes conversations with neuroscientists, researchers, technologists, innovators, and thinkers exploring the brain, cognition, neurotechnology, augmentation, and emerging forms of human-machine interaction. It is where The Human Protocol looks furthest ahead—not simply at what machines may become, but at what humans may become alongside them.

Key Topics Covered:
• Neuroscience and the future of human capability
• Brain-computer interfaces and neurotechnology
• Cognitive augmentation and enhanced human performance
• Human-machine intelligence and hybrid intelligence
• How technology interacts with the brain and nervous system
• Human agency as machines become more integrated with us
• Identity and autonomy in an augmented future
• Human-machine collaboration
• Neuroethics, privacy, trust, and responsibility
• Where the boundary between human and machine is moving

Keywords
The Human Protocol, Mykel Salomon, neuroscience, neurotechnology, brain computer interface, BCI, cognitive augmentation, human augmentation, human machine intelligence, hybrid intelligence, human machine collaboration, brain technology, future of neuroscience, cognitive science, human agency, neuroethics, augmented intelligence, future of humanity, human cognition, human machine boundary

Hashtags
#TheHumanProtocol #Neuroscience #Neurotechnology #HumanMachineIntelligence #HumanAugmentation

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Explore the conversations at the changing boundary between neuroscience, technology, and human capability. Subscribe to The Human Protocol for discussions about what happens as machines become more integrated with how we think, work, and understand ourselves.

View the Human + Machine playlist on YouTube

Episodes in this topic

AI Is About To Leave The Screen. Who Gets To Drive It? | Hans Peter Brøndmo, Former Google X Robotic
Hans Peter Brøndmo, led Google X's Everyday Robots moonshot factory for seven years. Most conversations about AI stop at the screen. This one starts where the screen ends. Hans Peter Brøndmo spent seven years at Google X trying to answer a question nobody had solved: how do you build a machine that can live alongside people rather than behind a factory cage? His answer reframes the whole field. You cannot program a robot to live amongst us, you have to teach it. From there the conversation opens outward, into demographics, policy, aging parents, and the New Deal. Brøndmo argues that the AI debate has narrowed to safety legislation and the future of work, and that both are a sliver of something far larger: a societal transition on the scale of the industrial revolution, compressed into a fraction of the time, hitting eight and a half billion people instead of one billion. If you want the version of this conversation that is neither doom nor hype, this is it. Hans Peter Brøndmo led Everyday Robots, Google X's AI and robotics moonshot, for seven years. On this episode of The Human Protocol he explains what happens when AI stops living on a screen and starts making decisions in the real world, and asks the only question he thinks actually matters: who gets to drive this? Host Mykel Salomon and Hans Peter Brøndmo go past AI safety legislation and the future of work debate into the thing underneath both: an AI society. They cover embodied AI and general purpose robotics, why the cognitive revolution may hit ten times harder than the industrial revolution in one tenth the time, China's move to ban romantic relationships with AI and its population collapse, robots in elder care and aging populations, and why humanist principles might be the missing platform in AI policy. Chapters: 00:00:00 "Hans-Peter, where are the robots?" 00:02:18 Inside Google X's robotics moonshot 00:04:17 You can't program a robot, you teach it 00:08:15 This is bigger than the future of work 00:12:28 The AI hurricane heading for landfall 00:17:59 China's law against falling in love with AI 00:21:33 Even Sundar can't explain how Google works 00:24:01 What the New Deal actually got right 00:29:28 Congress still doesn't understand the internet 00:31:33 The population cliff nobody is planning for 00:37:06 His mother, and what dignity really means 00:43:07 Fear is being weaponized 00:49:11 The values exercise he runs twice a year 00:57:30 The book, and advice to his younger self 01:01:06 Closing thoughts About the guest Hans Peter Brøndmo is a serial technology entrepreneur who joined Google X in January 2016 and went on to founded and lead Everyday Robots, the moonshot that bet on AI as the path to general-purpose robotics years before large language models made that bet look obvious. He has founded and sold companies, advises startups, and is writing a book on what it means to be human in the age of intelligent machines. He grew up in Norway and is based in San Francisco. Connect with Hans Peter Brøndmo LinkedIn: https://www.linkedin.com/in/hanspeter/ Website: https://www.brondmo.com/ Thinking about implementing AI in your business? Download Mykel Salomon's free 10-Step AI Strategy & Execution Roadmap to clarify the business problem, identify the right opportunities, decide what should remain human, and move from idea to execution. Clarity first. Tools second. Humans always: https://dub.sh/thp-roadmap-yt Technology is changing quickly. The human questions matter just as much. Subscribe to The Human Protocol newsletter for weekly perspectives on AI, leadership, work, and what it means to stay human while building the future: https://act-3-agency.link/thp-news-yt
The Only People Who Actually Beat AI | Dr Vivienne Ming
Most conversations about AI start with the same question: “What can I do that a machine can't?” Dr Vivienne Ming argues that this is the wrong question. There is no single magic skill that will remain permanently “robot-proof.” If humans can clearly define a task and determine what the right answer looks like, machines will increasingly become better, faster, and cheaper at performing it. Instead, we need to focus on the deeper qualities that make people uniquely capable. Drawing on research involving 122 million people, Vivienne explains how qualities such as curiosity, resilience, fluid intelligence, and perspective-taking can be more meaningful predictors of positive life outcomes than traditional credentials or individual technical skills. That insight becomes even more important in the age of AI. Vivienne describes an experiment in which humans were asked to make meaningful predictions alongside AI systems. Some participants simply automated their thinking. Others kept a human in the loop but relied heavily on the AI's reasoning. The strongest performers were a small group Vivienne calls “cyborgs.” These people didn't simply accept AI answers. They combined the machine's capabilities with their own reasoning, curiosity, and judgment. The result was something neither human nor AI could achieve alone: hybrid intelligence. But there is a serious warning. AI can make us dramatically more capable — while simultaneously encouraging us to think less. Chapters • 00:00 AI, human potential, and the future of humanity • 01:45 The wrong question about becoming “robot-proof” • 02:39 Why there is no single magic skill • 04:05 The brutal truth about what AI can already do • 06:44 What 122 million people taught us about human potential • 08:39 The deeper human qualities that predict success • 10:09 Why curiosity may matter more than technical skills • 13:38 Why you can't learn curiosity from a lecture • 16:02 Why we don't really know ourselves • 18:43 The experiment that changed children's curiosity • 20:58 Why the wrong question can be more valuable than the right answer • 21:48 Can AI predict the future better than humans? • 24:11 Hybrid intelligence: humans and machines together • 25:06 The danger of outsourcing your brain to AI • 26:30 The “cyborgs” who beat both humans and AI • 28:29 The human qualities that make AI collaboration work • 30:19 Are brain interfaces the future of hybrid intelligence? • 32:22 Building an actual human-machine cyborg • 33:49 Neuroprosthetics and human augmentation • 34:19 Can we increase working memory? • 37:15 What happens when AI merges with the human brain? • 40:19 Why we should never automate away creativity • 41:25 Will machines eventually control us? • 42:00 AI knows everything — but does it understand? • 45:20 The hidden danger of AI making us think alike • 46:50 Our greatest advantage may be the crazy idea • 49:11 Finding the balance between human and machine intelligence • 51:16 Can AI make people better over time? • 54:12 Socrates: the AI that refuses to give you answers • 55:40 What happens when AI teaches instead of answers? • 57:40 The future of AI benchmarks • 58:43 “I want to build better people” • 59:28 Purpose, meaning, and human potential • 01:03:18 The most human thing Vivienne has ever built • 01:05:10 Using AI to make ourselves more human About the Guest Dr. Vivienne Ming is a theoretical neuroscientist, entrepreneur, AI researcher, and author working at the intersection of artificial intelligence, neuroscience, and human potential. Her work has explored machine learning, human cognition, neuroprosthetics, education, healthcare, workforce technology, and hybrid intelligence. She has built AI systems to address deeply human problems, including developing an AI system for her son's diabetes and working on technology designed to reunite refugee children with their extended families. Her book Robot-Proof explores what humans need to develop as machines become increasingly capable. Her work ultimately comes back to one question: How can technology make us more human — not less? Connect with Vivienne Ming LinkedIn: https://www.linkedin.com/in/vivienneming/ SOCOS Labs: https://www.socos.org/ Thinking about implementing AI in your business? Download Mykel Salomon's free 10-Step AI Strategy & Execution Roadmap to clarify the business problem, identify the right opportunities, decide what should remain human, and move from idea to execution. Clarity first. Tools second. Humans always: https://dub.sh/thp-roadmap-yt Technology is changing quickly. The human questions matter just as much. Subscribe to The Human Protocol newsletter for weekly perspectives on AI, leadership, work, and what it means to stay human while building the future: https://act-3-agency.link/thp-news-yt
Why Neuroscientist refuses brain transplant with Dr Marcelo Bigliassi
Dr. Marcelo Bigliassi, neuroscientist at Florida International University and Chief Scientist at NeuroSmart Mykel Salomon sits down with neuroscientist Dr. Marcelo Bigliassi with a real human brain on the table between them, and asks the question everyone is circling around: if brain chips became mass available tomorrow, would you get one? The answer is a flat no, and the reason has nothing to do with the technology. Bigliassi spends his days building machine learning models of the brain, so when he says the organ running your life cannot be replicated, it comes from the data side of the argument, not the sentimental one. Along the way he explains what stress actually is and how to run its four phases, why brain size has nothing to do with intelligence, why he thinks the PhD itself is at risk, and why the single biggest threat of AI is not job loss but something he calls rationale building. If you have ever wondered whether the machines are catching up to us, this hour is the reality check. YouTube chapters 00:00 The Question Nobody Answers Honestly 01:38 Meet Dr. Marcelo Bigliassi 02:51 What Is The Human Brain? 04:54 Good Stress vs Bad Stress 07:39 The Four Phases Of The Stress Cycle 09:57 Does Brain Size Mean Intelligence? 13:13 It Runs 24/7 On A Piece Of Steak 16:24 Brain Chips And Your Subconscious 19:19 Why AI Did Not Move The Curve 24:27 Why The PhD Is At Risk 26:09 How The Brain Adapts Within Hours 30:10 Gut Feelings And Why Bad Beats Good 34:09 Rationale Building, The Real Threat 40:03 What Your Sleep Score Gets Wrong 44:28 When AI Becomes Your Doctor 47:41 Pick Three Things, Drop The Rest 50:34 Social Media Is A Drug 54:39 Would You Put A Chip In Your Brain? 57:18 There Is Always A Cost 1:03:16 If You Need Motivation, Do Not Go 1:07:55 You Are Not Supposed To Feel Happy 1:12:13 Healthspan Over Lifespan 1:15:53 The Next Frontier In Brain Science 1:19:26 Final Message About the guest Dr. Marcelo Bigliassi is a newly tenured neuroscientist at Florida International University and Chief Scientist at NeuroSmart. His work sits at the intersection of psychophysiology and data science, decoding what happens inside the brain and body under stress, effort and performance using brain imaging, wearables, EEG and machine learning. He runs 30 plus studies across the globe and builds the neural network models in his own lab, which is what makes his skepticism about brain chips worth hearing: he is not an outsider warning about AI, he is one of the people building it. recovered, and why the wearable is probably wrong. Connect with Dr. Marcelo Bigliassi LinkedIn: https://www.linkedin.com/in/marcelo-bigliassi/ Instagram: https://www.instagram.com/bigliassi/ Thinking about implementing AI in your business? Download Mykel Salomon's free 10-Step AI Strategy & Execution Roadmap to clarify the business problem, identify the right opportunities, decide what should remain human, and move from idea to execution. Clarity first. Tools second. Humans always: https://dub.sh/thp-roadmap-yt Technology is changing quickly. The human questions matter just as much. Subscribe to The Human Protocol newsletter for weekly perspectives on AI, leadership, work, and what it means to stay human while building the future: https://act-3-agency.link/thp-news-yt
The AI Capability Gap: Why Humans Are Falling Behind | James Garner
AI is advancing faster than most people and organizations are learning how to use it. In this episode of The Human Protocol, Mykel Salomon talks with James Garner about the widening AI capability gap—the divide between what artificial intelligence can do and what humans are ready to understand, adopt, trust, and apply. James explains why this technology shift is different from earlier waves, what happens as AI moves beyond chatbots into agents and orchestration, and why the biggest risk may be leaving people behind. The conversation explores AI literacy, education, responsibility, adoption, and the practical steps leaders can take to build human capability alongside increasingly powerful systems. WHAT YOU’LL LEARN • What the AI capability gap is and why it is widening • Why AI adoption is moving faster than human learning and readiness • How the shift from chatbots to AI agents raises the learning curve • Why the capability gap affects people across ages, industries, and roles • How fear, mixed institutional messages, and poor guidance slow adoption • Why AI literacy should focus on responsible use, not just technical skill • How leaders can help people build confidence and capability instead of falling behind CHAPTERS 00:00 The real risk: the human capability gap 01:13 James Garner’s path from construction to AI and data 04:07 What the AI capability gap actually means 06:28 Why AI agents raise the learning curve 08:34 The gap cuts across age groups and industries 11:12 Why institutions are sending mixed signals about AI 14:20 Using AI to deepen learning instead of replacing it 15:26 Responsibility and AI literacy ABOUT THE GUEST James Garner is an AI and data leader working at the intersection of real-world operations, AI deployment, agent orchestration, and organizational adoption. With a background outside traditional technology roles, he brings a practical perspective on how companies and individuals can close the gap between rapidly advancing AI capabilities and human readiness. Thinking about implementing AI in your business? Download Mykel Salomon's free 10-Step AI Strategy & Execution Roadmap to clarify the business problem, identify the right opportunities, decide what should remain human, and move from idea to execution. Clarity first. Tools second. Humans always: https://dub.sh/thp-roadmap-yt Technology is changing quickly. The human questions matter just as much. Subscribe to The Human Protocol newsletter for weekly perspectives on AI, leadership, work, and what it means to stay human while building the future: https://act-3-agency.link/thp-news-yt #TheHumanProtocol #AILiteracy #FutureOfWork #Leadership #AIAgents

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