The Human Code

Don Finley
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The Human Code" podcast unravels the intricate blend of technology, leadership, and personal growth, featuring insights from visionary leaders and innovators shaping the future. Host Don Finley dives deep into the human stories behind technological advancements, inspiring listeners at the crossroads of humanity and tech.

  1. AI Strategy for Leaders: From Command to Collaboration

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    AI Strategy for Leaders: From Command to Collaboration

    Send us Fan Mail In this episode, Don sits down with Arvind Ludhiarich to explore the intersection of humanity and technology. Moving beyond buzzwords, they discuss how AI can amplify human capability and elevate potential rather than replace the workforce. Arvind shares insights from his journey in AI, highlighting real-world use cases—from automated sales prospecting to Socratic AI tutors—and the importance of human judgment in an automated world. Key Topics Covered: The Goal of AI: Shifting from cost-cutting to scaling human potential. Real-World Applications: AI handling routine sales tasks so humans can focus on high-value work. The Limits of AI: Gaps in emotional intelligence and moral reasoning. The Future of Leadership: Transitioning from command to collaboration with machines. 5 Pillars for Leaders in the AI Era:  Ask better questions instead of giving answers.  Build an AI-ready culture, not just tech.  Redefine ROI as "Return on Integrity."  Use systems to amplify people, not replace them.  Develop AI literacy without deep technical skills. Final Thought: "The best AI reminds us what’s most human—our ability to grow, connect, and lead with purpose." Table of Contents Foundational Philosophies of AI 00:00 – Scaling Human Potential: AI should elevate people, not replace them. 01:38 – A Data-Driven Journey: Turning overwhelming data into action. 05:32 – The Evolutionary Shift: From limited compute to GPU-driven breakthroughs. Real-World Applications 02:17 – Automating Sales Prospecting: NLP systems handling large-scale outreach and admin work. 07:46 – Collaboration Over Command: Building human-machine ecosystems. 10:57 – AI as a Mentor: Accelerating learning through guided support. Limits and Risks 12:37 – Emotional Intelligence Gap: AI struggles with human unpredictability. 14:08 – Socratic AI Tutor: Learning through guided questioning. 15:10 – Human Criteria: AI cannot replace contextual moral judgment. 16:00 – Hallucinations: Risks of fabricated or biased outputs. Actionable Strategies 19:08 – The Art of Diagnosis: Ask the right questions before automating. 23:14 – Practical Adoption: Use AI for transcription and task management. 25:11 – The 5 Pillars: Collaboration, culture, integrity, amplification, and literacy. Closing 30:01 – Reclaiming Humanity: AI should reinforce growth, connection, and purpose. Sponsored by FINdustries Hosted by Don Finley

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  2. Revolutionizing Cancer & Diabetes Treatment: The Future of Personalized Gene Therapy with Ryan Confer

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    Revolutionizing Cancer & Diabetes Treatment: The Future of Personalized Gene Therapy with Ryan Confer

    Send us Fan Mail In this episode, we dive into the intersection of humanity and disruptive technology with Ryan Confer, an entrepreneur and operator in the biotech space. Ryan shares his journey from early-stage investment to becoming a passionate operator focused on bringing life-changing medical treatments to market. We explore the groundbreaking work being done at Genprex, where they are utilizing tumor suppressor genes to revolutionize cancer treatment. Ryan explains how gene therapy can provide a "friendlier" treatment path than traditional chemotherapy, specifically targeting cancer cells while minimizing side effects and improving patient quality of life. Key topics discussed in this episode: The Power of Gene Therapy: How reintroducing naturally occurring tumor suppressor genes, like Tusk 2, can help the body's cells combat non-small cell lung cancer. Hyper-Personalized Medicine: The shift toward using a patient's genetic profile to create tailored combination therapies and treatment sequences. Curing Diabetes Through Gene Transformation: An inside look at a program from the University of Pittsburgh that aims to transform pancreatic alpha cells into insulin-producing beta cells, potentially eliminating daily injections. The Entrepreneurial Journey: Ryan's advice for entering the biomed space, including business plan competitions and licensing research from universities. Data-Driven Decisions: Why following the science and analyzing data is critical for success in any entrepreneurial venture, especially those with societal impact. Whether you're interested in healthcare, gene therapy, or tech commercialization, this conversation offers a fascinating look at how technology is helping the body heal itself. Table of Contents: 00:00 - 01:10: Introduction to gene therapy and its benefits compared to chemotherapy. 01:11 - 03:00: Ryan Confer's background in finance, early-stage investment, and his transition to technology commercialization. 03:01 - 04:57: The risks and rewards of being an operator versus an investor in entrepreneurial ventures. 04:58 - 06:10: Joining Genprex and the inspiration behind the company's research into cancer treatments. 06:11 - 08:33: How tumor suppressor genes work to combat cancer and the delivery method using cholesterol molecules. 08:34 - 10:19: Discussion on the Tusk 2 gene and its role in treating non-small cell lung cancer. 10:20 - 12:18: The shift towards hyper-personalized medicine and tailored treatment paths. 12:19 - 14:16: Comparing the side effects of traditional chemotherapy to gene therapy. 14:17 - 16:21: Clinical trial results, post-infusion syndrome, and improving quality of life for stage four lung cancer patients. 16:22 - 18:28: The reactive nature of current medicine and the potential for combination therapies. 18:29 - 20:11: Future vision: sequence-based treatment regimens and the role of data in personalized medicine. 20:12 - 23:09: Recommendations for entering the biomed space, including business plan competitions and licensing university research. 23:10 - 25:00: Personal and professional goals, including involvement in data-focused companies and continuous improvement software. 25:01 - 26:67: A deep dive into a new diabetes program aiming to recreate insulin-producing beta cells. 26:68 - 29:02: The process and risks of commercializing academic research and ensuring FDA compliance. 29:03 - 31:09: Testing treatments in animal models and the strategy for human trials in diabetes. 32:24 - 33:59: Final thoughts on following the science, data-driven decisions, Sponsored by FINdustries Hosted by Don Finley

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  3. Beyond Faith: Exploring the Human Origin of Religion with Steve Cinelli

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    Beyond Faith: Exploring the Human Origin of Religion with Steve Cinelli

    Send us Fan Mail In this thought-provoking third appearance on the show, banker and author Steve Cinelli joins Don for a wide-ranging discussion on his latest literary projects and the shifting landscape of global society over the next decade. In this episode, we explore: The Philosophy of Food: Steve discusses his book, The Book of Pasta, exploring Italian culinary heritage through a biblical cadence and the tension between "old world" traditional preparation and "new world" technology. Deconstructing Organized Religion: Diving into his book Paradise Found, Steve presents a 12-pillar scaffolding arguing that religion is a man-made construct for social and economic control, rather than divine revelation. The "Waking Dream" of Paradise: Shifting the traditional narrative from seeking an afterlife, the conversation focuses on finding "paradise now" through the appreciation of nature, family, and the present moment. 2036 and Beyond: A look into the future, discussing the role of AI in humanity, the rise of theocratic states, shifting global demographics, and the changing economic power of the US on the world stage. The Future of Farming: Addressing the critical demographic shift in the agricultural community and what it means for global food production. Steve leaves viewers with a powerful Socratic challenge: In a world of rapid change, where do you truly want to be, and what questions are you not yet asking? Table of contents: Introduction: 00:00 - 01:43: The speaker introduces returning guest Steve Chinelli to discuss his books and predictions for the next decade. Book Discussion - Slamina and The Book of Pasta: 01:43 - 06:06 Steve details his transition from banking to writing, highlighting his Dr. Seuss-inspired children's book and a food philosophy book exploring Italian culture and the friction between old-world traditions and new technology. Book Discussion - Paradise Found: 06:06 - 14:19: Steve introduces Paradise Found, which argues that organized religion is a man-made system for social and economic control, supported by twelve pillars of evidence. Knowledge Ceiling and Man-Made Origins: 14:19 - 20:02: The conversation examines the "knowledge ceiling" in holy books, noting they only contain information known during the eras they were written. Appreciating Paradise in the Present: 20:02 - 29:48: The speakers discuss finding "paradise" in the present through nature and human connection rather than waiting for an afterlife. Conflict Between Science and Religion: 29:48 - 44:46: A discussion on how religion has historically suppressed scientific knowledge and how neuroscience is now exploring concepts like the soul. Future Outlook - Technology and Demographics: 44:46 - 55:46: Steve shares insights on the next 10 to 30 years, focusing on AI's impact, shifting global demographics, and the challenges of aging populations. Conclusion - Strategic Living: 55:46 - 01:00:07: The episode concludes with the strategic importance of dual citizenship and a final question for the audience about where they truly want to live in a changing world. Sponsored by FINdustries Hosted by Don Finley

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    The Intersection of Humanity and AI: Reskilling, Productivity, and the Future of Work | Feat. Arturo Oliver

    Send us Fan Mail In this engaging conversation, Don sits down with his friend Arturo Oliver, who has a 30-year career in analytics, AI, and automation. Arturo shares what sparked his interest in the intersection of humanity and technology from an early age, growing up in Mexico, reading tech magazines, and falling in love with computers like the Commodore 64 and Apple II. The discussion explores the current state of artificial intelligence (AI) and the shift it will bring to professional and personal lives. Arturo believes this wave of AI will have the greatest impact in 50 years, driving major productivity growth. Key takeaways include: The Impact of AI: A McKinsey study projects that by 2030, 12 million US jobs could be eliminated by AI. The Need for Reskilling: Individuals must focus on becoming more valuable by enhancing their skills. Essential Skills: Humans will continue to excel in relationships, strategy, and creativity. Universities’ Role: Institutions should embrace AI and help students build skills, rather than just preventing misuse. Arturo stresses that individuals must take an active role in reskilling to benefit from new technology. Table of Contents: I. Introduction and Early Passion for Technology 00:38 - Don introduces Arturo. 00:46 - Arturo explains his early interest in technology. 01:08 - He recalls growing up in Mexico, reading magazines, and discovering early computers. 01:43 - He quickly learned programming from a beginner’s book. II. The Current State and Impact of AI 04:46 - Conversation shifts to AI’s impact. 06:18 - Arturo reflects on his 30-year career and AI-driven productivity gains. III. Reskilling, Job Displacement, and Essential Skills 10:19 - McKinsey projects 12 million US jobs lost by 2030. 10:47 - New roles will require different skills. 10:57 - Individuals must actively improve their value. 17:08 - Arturo suggests evaluating how AI can enhance daily work. IV. Universities and the Future 19:34 - Universities must rethink their approach to AI. 19:40 - Focus should shift to skill-building, not just preventing cheating. 20:46 - Institutions should guide society and teach best practices. 25:58 - Arturo highlights AI’s environmental costs, including energy and water use. Sponsored by FINdustries Hosted by Don Finley

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  5. Probabilistic Thinking and High-Quality Decision Making

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    Probabilistic Thinking and High-Quality Decision Making

    Send us Fan Mail Join us as we explore high-quality decision-making in business and life with Richard Arnold. This conversation highlights the difference between deterministic thinking and the power of a probabilistic, stochastic approach. Richard shares insights from cognitive psychology and decision analysis, explaining why the human brain struggles with probabilities, why framing matters, and why decisions should be probabilistic rather than deterministic. Instead of asking “What do I do tomorrow?” he suggests building a long-term view to explore possible outcomes. He also explains depositioning, anchoring, and how AI—being inherently probabilistic—challenges human deterministic thinking. We cover a practical framework for better decisions: clarifying objectives, defining constraints, gathering data, and generating options. Richard also shares case studies including the Monty Hall problem and a real-time decision system used in global hotel revenue management. Table of Contents I. Decision-Making: Probabilistic vs. Deterministic Thinking The Problem with Human Probability (00:00–00:05, 33:21–33:30): Humans are naturally poor at understanding probabilities and must learn structured reasoning.The Academic and Applied Background (01:15–02:22): Decision analysis grew from cognitive psychology, using quantitative tools and multi-scenario modeling.II. The Framework for High-Quality Decision Making Framing the Question (00:07–00:17, 05:51–06:07): Since framing happens automatically, it must be done consciously and correctly.Depositioning (07:14–07:58): Step back from the initial idea to redefine the real decision.III. Case Studies on Applying the Framework Mouse Pads and Marketing Spend (10:51–13:08): A marketing decision analyzed using probability estimates.From Christmas Cards to Customer Success (13:50–17:18): Rethinking holiday cards led to a structured customer-success practice that scaled globally.IV. The Pitfalls of Deterministic Thinking The Monty Hall Problem (27:30–29:15): People stick to initial choices despite changing probabilities.Anchoring (30:20–32:00): Arbitrary numbers heavily influence judgment, as shown in a temperature experiment.V. The Rise of AI and Stochastic Systems AI and Probabilities (19:19–20:07): AI operates probabilistically, replacing deterministic human systems.Stochastic Agent Example (20:07–20:16): Unlike humans who repeat exact answers, stochastic systems may produce varied outputs.Sponsored by FINdustries Hosted by Don Finley

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  6. Dr. Kirk Adams: The Intersection of Humanity and Technology for the Visually Impaired

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    Dr. Kirk Adams: The Intersection of Humanity and Technology for the Visually Impaired

    Send us Fan Mail Focusing on Technology and Inclusion Join us for a fascinating conversation with Dr. Kirk Adams as he discusses the powerful intersection of humanity and technology, particularly for the visually impaired. Dr. Adams, who became totally blind quickly in kindergarten, shares his journey, beginning with his first electronic reading system, the Opticon, in 1968. Dr. Adams explores how technology allows people with visual impairments to "customize the fit with the world" and move from disabling situations to environments where they are not disabled. We dive into the future, discussing the promise of Agentic AI for increasing autonomy and privacy in daily tasks like paying bills and filling out medical forms. We also tackle the critical risks of bias in AI systems, noting that the lived experiences of people with disabilities are currently underrepresented in the data that undergirds AI tools. Dr. Adams emphasizes the urgent need to address the disability employment gap—only 35% of people with significant disabilities are in the U.S. workforce, compared to 70% of the general population. He provides actionable advice on how everyone can engage with and support a more inclusive world.   Connect with Dr. Kirk Adams: Website: drkirkadams.com LinkedIn: Linkedinlinkedin.com/in/kirkadamsphd Table of Content I. Introduction & Personal Story 0:00 Dr. Kirk Adams' Story: Loss of Sight in Kindergarten and Starting with Technology0:12 Defining Impairment vs. Disability: Technology Customizes the Fit with the World2:05 Dr. Adams' First Electronic Reading System: The Opticon (1968)2:46 Using the Mini-Guide, an Early Sonar-Type Wayfinding Device3:55 Example: Braille Materials Prevent a Disabling Situation in a Board Meeting4:38 The Exponential Acceleration of Technology and Different Symbol Systems (Braille vs. Print)II. The Promise and Risks of AI 6:18 The Future of AI: Benefits and Risks for People with Disabilities7:16 Excitement over Independent Transportation and Autonomous Vehicles8:18 Current Tech: Image Description with Meta Ray-Ban Glasses and Open Source Apps9:17 The Next Big Leap: Agentic AI for Increased Autonomy, Support, and Privacy14:13 The Risk of AI Bias: Stereotypical Career Suggestions (Massage Therapist, Musician)15:39 The Root Cause of Bias: Underrepresentation of Disabled Persons' Lived Experience in Data16:27 Combating Bias: The Be My Eyes and Be My AI Data Set InitiativeIII. Employment and Overcoming Misperceptions 19:46 Hurdles to Overcome: Attitudes, Misperceptions, and Misconceptions20:29 Addressing the Disability Employment Gap (Only 35% of people with significant disabilities are in the U.S. workforce)21:18 Unique Strengths Developed by People with Disabilities (Resilience, Creative Problem Solving)22:32 The Apex Program: Training Blind People for Cyber Security Jobs26:06 Recommendation: The First Step to Inclusion—Connect and Engage with Disability OrganizationsIV. Conclusion 29:16 Where to Find Dr. Kirk Adams (Website and LinkedIn)29:39 Dr. Adams' Ethnographic Study on Blind Adults in American CorporationsSponsored by FINdustries Hosted by Don Finley

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    Robots Aren't Coming for Your Jobs, They're Coming for Theirs | Automating the Work of Robots

    Send us Fan Mail In this conversation, the host, Don Finley, and Mateo Stroll explore the intersection of humanity and technology, focusing on AI’s real value. Stroll shares his view: “Robots aren’t coming for your jobs, they’re coming for theirs. We must stop doing the work of robots.” They compare AI to 1980s auto-industry automation, which didn’t replace people but scaled output, reduced errors, and improved quality. The discussion outlines three practical uses of AI: organizing, scaling, and accelerating human interactions. An airline example shows how automating patching freed system administrators to focus on higher-level problem-solving. Stroll also offers a critical view of popular generative AI tools like ChatGPT, describing them as polished interfaces layered over search. He advises executives to hire experts to define processes and target quick wins instead of attempting massive, unfocused transformation efforts. Table of Contents I. The Intersection of Humanity, Technology, and Automation  Humans vs. Robots (00:00–00:13, 12:12–12:18): Humans excel at problem-solving but make errors; robots are “coming for theirs,” and humans must stop doing robotic work.  Automation in the Auto Industry (00:13–00:33, 12:20–12:48): 1980s automation scaled work, reduced mistakes, and improved vehicle quality without destroying jobs.  AI as the Socratic Method (04:14–04:27): AI can act as a reflection tool, asking questions to draw out user insight. II. The Current State and Value of AI  The Problem with Current AI (05:10–05:40): Popular generative interfaces can produce lowest-common-denominator responses due to scale and access.  True Power of AI (06:03–06:17): AI’s long-term value is practical and operational, not media-driven. III. Business Process and AI Implementation  Prerequisite for Automation (08:17–08:24): Processes must be documented before scaling or automating.  Calculating Value (08:51–09:21): Identify human tasks, automate where possible, and measure time saved.  The Disconnect (22:11–22:22): Change fails when business problems aren’t clearly tied to solutions and frontline value. IV. AI for Programming and Development (22:53–24:49)  Code Quality (22:56–24:16): AI can validate code, scan for vulnerabilities, and scale testing before deployment.  Finding Hidden Issues (24:31–24:49): AI analyzes logs to uncover unseen problems and unused paths. V. The Problem with NLP Standardization (25:27–28:53)  Lack of Standardization (25:27–25:33): NLP lacks common standards across libraries.  Complex Queries (26:36–27:08): Current AI struggles with contextual, multi-step calculations. VI. Recommendations for AI Adoption (29:14–31:04)  Define the Problem First (29:37–29:42): Clearly define the problem before choosing tools.  Hire Experts (29:52–30:31): Use experienced product or process leaders to guide adoption.  Executive Mindset (30:54–31:04): Leaders must accept discomfort, define value metrics, and align AI with real business processes. Sponsored by FINdustries Hosted by Don Finley

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  8. The Human Aspect in AI: Shane Boudreau on Technology, Bias, and Investment

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    The Human Aspect in AI: Shane Boudreau on Technology, Bias, and Investment

    Send us Fan Mail In this episode, Don speaks with Shane Boudreau about the intersection of humanity and technology, emphasizing the critical role of the "human aspect" in AI and algorithms. Shane argues that AI is "only as good as the inputs" and won’t take over, but the right person must be running the program because "lives are at stake." They discuss the risks of biased or corrupted data and how incorrect inputs can seriously disrupt people’s lives. While machine learning and predictive analysis aim to remove human bias, Shane notes that some level of human judgment and "compassion" is still necessary due to cultural differences. He shares examples, including an instance where ChatGPT cheated at chess and how the Chinese model DeepSeek showed political and historical bias when asked about Tiananmen Square. For investors and entrepreneurs, Shane stresses that success depends on how well a product helps customers "get what they want." He encourages founders to validate their go-to-market strategy by picking up the phone and speaking directly with potential customers, securing an LOI—preferably with a "wet signature"—as proof of real commitment. From an investment perspective, he focuses on the people behind the technology, not just the technology itself, and will avoid or restructure deals if the parties are not right. The conversation also highlights emotional factors in the stock market, such as fear, that quant algorithms often miss, and warns against making decisions based solely on headlines. Key Topics Covered: The essential nature of the "human aspect" in AI. The dangers of biased inputs and corrupted code. The need to reduce human bias in technology development. The role of human emotion in algorithms and the stock market. Investment philosophy: focusing on people and customer value. Validating go-to-market strategy through calls and LOIs. Advice for entrepreneurs: do your homework and improve customers' lives.Table of Content Introduction: The Human Aspect in AI 0:00 - AI is "only as good as the inputs." 0:11 - The right person must run the program because "lives are at stake."0:38 - Customers care about how a product helps them "get what they want."0:47 - Don introduces Shane Boudreau.Bias and Corruption in Technology 1:14 - AI becomes biased based on its data and programmers.1:51 - Remove human bias in development, but keep some compassion due to cultural differences.4:09 - Examples of AI cheating (ChatGPT) and political/historical bias (DeepSeek).5:49 - Investments focus on the people behind the tech, not just the tech.The Emotional Factor in Trading and Investing 9:15 - Early quant models missed the market’s "fear factor."10:33 - Traders react to headlines more than full articles.11:51 - The VIX represents the market’s "fear factor."12:13 - Retail investors can’t match high-frequency trading speed.Advice for Entrepreneurs: Value and Validation 17:38 - Risk of building something great that no one sees.19:43 - Validate go-to-market by calling customers and securing an LOI.23:01 - A "wet signature" LOI shows real commitment.25:06 - Invest in real value, not hype like perception-driven NFTs.28:47 - Final advice: do your homework and build to improve customers’ lives.Sponsored by FINdustries Hosted by Don Finley

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The Human Code" podcast unravels the intricate blend of technology, leadership, and personal growth, featuring insights from visionary leaders and innovators shaping the future. Host Don Finley dives deep into the human stories behind technological advancements, inspiring listeners at the crossroads of humanity and tech.

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  • صناع العمل
    Don Finley
  • سنوات النشاط
    ٢٠٢٤ - ٢٠٢٦
  • الحلقات
    ٨٦
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    ملائم
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    © 2026 The Human Code
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    The Human Code