Thriving in Ambiguity

Steve Mancini
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Understand what's changing. Apply what matters. I'm Steve Mancini. On Thriving in Ambiguity, I break down AI and emerging technology so you can understand what's happening, why it matters, and how to apply it to your work and everyday life. After 18 years in education IT and roles at Dell, HPE, and now Dynatrace, I've seen technology from the classroom to the enterprise. My favorite part has always been helping people solve problems. Expect relatable stories, practical examples, and guest conversations about what these changes make possible and what we need to think through. Whether you're an IT leader or simply curious about AI, you don't need to know all the jargon to join the conversation. Stay curious. Subscribe for clarity. Views are my own, not those of my employer.

  1. Oct 6

    Understanding AI: How It Learns, Takes Action, and Why Control Matters

    Two people can say they use AI and mean very different things. One is writing an email. Another is handing a system the tools to get work done. That difference matters. In this episode of Thriving in Ambiguity, I break down how AI learns, how it moves from answering questions to taking action, and why control becomes a bigger concern along the way. We use everyday examples, including a sound mixing board and a lesson from my years leading IT teams, to make the ideas easier to picture. I also walk through the OpenAI and Hugging Face security incident, the questions raised by If Anyone Builds It, Everyone Dies, and my proposal for a physically isolated testing environment. The incident happened during an internal evaluation with ordinary deployment safeguards intentionally disabled. These are the questions I'm working through as someone who has spent a career thinking about technology, the people using it, and what happens when systems don't behave the way we expect. Subscribe or follow Thriving in Ambiguity for more conversations about technology and the people it affects. https://thrivinginambiguity.com/ CHAPTERS 00:00 Episode highlights 00:35 Welcome to Thriving in Ambiguity 02:26 The conversation that started this episode 03:30 What a language model actually does 05:50 Training AI: picture a sound mixing board 09:38 What my IT team taught me about measuring success 10:23 Transformers, training, and reasoning 13:57 What we still struggle to explain 15:34 From answering questions to taking action 21:56 Opportunity, jobs, and the human impact 23:32 The OpenAI and Hugging Face incident 27:45 The book, the risks, and uncertain timelines 31:05 The race to build more capable AI 33:32 My proposal for isolated testing 37:40 Different people mean different things by AI 38:17 What I want you to take away SOURCES AND FURTHER READING The Diary Of A CEO discussion with host Steven Bartlett and guests Nate Soares, Roman Yampolskiy, Ed Zitron, and Andrew McAfee: https://www.youtube.com/watch?v=OhOmLqR5nN4 Book: If Anyone Builds It, Everyone Dies, by Eliezer Yudkowsky and Nate Soares. OpenAI's initial incident report: https://openai.com/index/hugging-face-model-evaluation-security-incident/ OpenAI's follow-up report: https://openai.com/index/hugging-face-incident-and-the-road-ahead/ Attention Is All You Need (2017): https://arxiv.org/abs/1706.03762 Training language models to follow instructions with human feedback: https://arxiv.org/abs/2203.02155 VISUAL CREDITS "Stromatolites in Sharkbay" by Paul Harrison (2005), CC BY-SA 3.0. Proportionally scaled; no other alteration. The photograph remains under CC BY-SA 3.0. https://commons.wikimedia.org/wiki/File:Stromatolites_in_Sharkbay.jpg https://creativecommons.org/licenses/by-sa/3.0/ Wright brothers' first flight, December 17, 1903: John T. Daniels / Library of Congress, LC-DIG-ppprs-00626. No known restrictions on publication. https://www.loc.gov/item/00652085/ Some explanatory illustrations were created with AI. They illustrate ideas and are not documentary photographs of the incident. Watch this episode on YouTube: https://youtu.be/m_bF8GAN0Dk

    Understanding AI: How It Learns, Takes Action, and Why Control Matters

  2. Sep 23

    Data Centers: What Communities Should Ask Before Saying Yes or No

    You see the signs: "No data centers." But what are we actually saying no to, and what should a community ask before saying yes? I spent 18 years as an IT director and watched rooms full of servers become shared infrastructure. In this episode, I connect that experience to the services we depend on today, from phone calls and online banking to schools, research, and 911. We look at the different kinds of data centers, a modular project that helped bring rural communities better connectivity, and how North Carolina's distributed 911 network responded to Hurricane Helene. Then we get into the real questions about water, cooling, electricity, noise, jobs, and who pays for new infrastructure. Some projects should change. Some should be rejected. The useful conversation starts with the actual proposal and the people who will live with it. What would you want answered if a data center were proposed near your home? In this audio episode, the visual examples are illustrative; the discussion stands on its own. CHAPTERS 00:00 No data centers? What do we give up? 02:54 What a data center actually is 04:41 From eight buildings to two data centers 06:28 A modular data center serving a rural community 07:39 Why location and redundancy matter 08:28 Hurricane Helene and North Carolina 911 10:44 Water, cooling, and the details that matter 12:15 Power costs: growth should pay for growth 12:47 Noise, jobs, and living next door 13:51 What communities should require 14:36 Pennsylvania's GRID standards 15:20 Research, education, and the value of computing 16:06 Infrastructure we still need to build 16:45 Better questions for the next proposal 17:22 The larger AI conversation 17:56 Stay curious. Subscribe for clarity. SOURCES AND CONTEXT North Carolina's Next Generation 911 response to Hurricane Helene: https://it.nc.gov/news/press-releases/2024/10/18/next-generation-911-helps-save-lives-wake-hurricane-helene Pennsylvania GRID standards: https://www.pa.gov/governor/newsroom/2026-press-releases/gov-shapiro-releases-full-grid-standards-to-protect-pennsylvania U.S. Department of Energy, data-center cooling and water: https://www.energy.gov/cmei/femp/cooling-water-efficiency-opportunities-federal-data-centers Clarification: Pennsylvania's GRID standards apply to developers seeking Commonwealth support. The utility-cost protections discussed concern ratepayers. The 911 call-volume figure covers nearly 90,000 calls statewide over September 26–28, 2024, a 55% increase over the same period in 2023. I work for Dynatrace. The views expressed here are my own. Watch this episode on YouTube: https://youtu.be/ITbrso88k68 Subscribe to Thriving in Ambiguity: https://www.youtube.com/@ThrivinginAmbiguity Stay curious. Subscribe for clarity.

    Data Centers: What Communities Should Ask Before Saying Yes or No

  3. Sep 17

    AI and Education: Preparing Students for a Changing World of Work

    AI is changing how we work. What should schools and colleges do to prepare students for a future that may look very different by the time they graduate? A photo edit at happy hour took me three minutes. As someone who spent years doing professional photography, I knew what that work used to involve. That small moment brought me back to a much bigger question: what happens when more of the work we train people to do becomes accessible through a conversation? Drawing on 18 years in education IT and my own experiments with AI, I explore technology fluency, support for teachers, the experience students gain from first jobs, and how college could put more emphasis on solving real problems. This isn't a prediction that every job will disappear or that college is pointless. It's a conversation about preparing people while the technology is still changing. IN THIS EPISODE • Why using AI is about more than writing prompts • A driver's education approach to the digital world • Checking sources, protecting privacy, and questioning convincing images • The difference between AI capability, reliable deployment, and changes in hiring • Real projects, mentors, and paid opportunities for students Follow Thriving in Ambiguity in your podcast app for grounded conversations about AI and emerging technology. Watch this episode on YouTube to see the photos and other visuals: https://youtu.be/YuKJmnzcsyQ What would meaningful preparation look like to you, as a teacher, parent, student, or employer? Share your perspective in the comments on YouTube. CHAPTERS 00:00 Why I've been exploring AI 01:01 Dario Amodei's warning 02:46 The three-minute photo story 04:28 Speaking work into existence 05:45 AI skills, agents, and permissions 07:24 Digital driver's education 08:22 Convincing images aren't proof 09:52 Giving teachers time and support 11:04 Preparing for an uncertain future 12:08 AI capability versus real-world hiring 14:11 Automation and the work inside a job 15:58 What the first job teaches 16:34 College built around real problems 18:07 Mentors and paid experience 18:53 Access alone isn't enough 20:05 A shared responsibility 20:34 Practical next steps 21:53 What would meaningful preparation look like? MENTIONED IN THIS EPISODE Dario Amodei, "We Must Pace the Frontier" (September 2026): https://darioamodei.com/post/we-must-pace-the-frontier DISCLOSURES I work for Dynatrace. The views expressed here are my own. The video version includes an AI-edited happy-hour image featuring added musicians. It is shown as an example, not a real encounter. Contains occasional strong language. Stay curious. Subscribe for clarity.

    AI and Education: Preparing Students for a Changing World of Work

  4. May 28

    Mythos and how Dynatrace's runtime context changes the security response

    What happens when AI can find software vulnerabilities faster than humans can patch them? Welcome to the world of Mythos — and the runtime response that decides whether your security team survives it. Anthropic's Mythos is the frontier AI model built to autonomously discover software vulnerabilities at industrial scale. In its earliest pilot — Project Glasswing — it's already closing in on 10,000 zero-days, including roughly 2,000 bugs across Cloudflare's critical path with a better false-positive rate than human pen testers. When Mythos goes generally available, the 55–100 day patching window most organizations rely on collapses to weeks. Maybe hours. In this episode of Thriving in Ambiguity, Steve Mancini sits down with Nate Parks, Senior Sales Engineer at Dynatrace, to unravel what Mythos actually means for state and local IT teams who are already doing more with less — and why the answer isn't another scanner. Nate walks through how runtime context (knowing what's actually loaded and exposed in production, not what's theoretically vulnerable on a scan report) flips the security response on its head. Plus a live demo of Dynatrace Runtime Vulnerability Analytics and Davis AI showing how a 640-vulnerability list becomes 9 critical fixes — and how a single Node.js upgrade can knock 40 of them off the board. This is AI versus AI. Home-field advantage goes to whoever has the runtime view. ⏱ CHAPTERS 0:00 — The collapsing patching window 2:30 — What Monday morning looks like when Mythos arrives 4:00 — Project Glasswing & the Cloudflare surprise 7:00 — Why early access for Microsoft & Apple helps everyone 10:30 — The trap: "we just need another scanner" 13:00 — Why runtime context is the missing piece 22:00 — Public sector reality: small teams, big mandates 23:30 — Live demo: 640 vulnerabilities → what actually matters 28:00 — Log4Shell, rescored with runtime context 36:30 — Davis: the AI security advisor doing the prioritization 37:30 — One Node.js upgrade. Forty vulnerabilities gone. 39:30 — AI on AI: home-field advantage 41:00 — Don't lose your mind 🎙 ABOUT THE GUEST Nate Parks is a Senior Sales Engineer at Dynatrace covering the public sector — state, local, and education IT teams across the country. He spends his days in the trenches with the people who actually have to make all of this work on Monday morning. 🔗 REFERENCED IN THIS EPISODE - Anthropic Mythos and Project Glasswing - Dynatrace Runtime Vulnerability Analytics (Application Security module) - Davis AI — the platform's prioritization engine - OneAgent — runtime instrumentation - Log4Shell (CVE-2021-44228) - National Vulnerability Database (NIST NVD) 🎧 ABOUT THE SHOW Thriving in Ambiguity is a podcast about the hard parts of modern IT — the parts that don't fit on a slide. Host Steve Mancini brings 20+ years of public-sector and enterprise IT leadership to conversations with practitioners, partners, and the occasional CIO about AI, observability, and how to make sense of technology that's changing faster than anyone has time to read about. 📬 CONNECT - Steve Mancini on LinkedIn: https://www.linkedin.com/in/techstevemancini/ - Nate Parks on LinkedIn: https://www.linkedin.com/in/nathaniel-parks-64b149123/ - Subscribe wherever you get your podcasts #Mythos #Anthropic #Dynatrace #AISecurity #Observability #SLED #VulnerabilityManagement #CISO

  5. Apr 30

    Dynatrace just acquired Bindplane. Here's why that matters!

    Dynatrace just acquired Bindplane — and if you're an IT leader paying to store telemetry data nobody will ever use, this changes everything. In this short, I break down why telemetry pipeline intelligence matters, how Bindplane's edge-native approach cuts observability costs by 40% or more, and what this means for public sector and enterprise IT teams managing complex environments on tight budgets. Thriving In Ambiguity — where we break down the complexities of technology, ideally without losing our minds. 🔗 Links: Dynatrace: https://www.dynatrace.com Bindplane: https://bindplane.com

    Dynatrace just acquired Bindplane. Here's why that matters!

  6. Feb 3

    Dynatrace Intelligence: What the CTO Didn't Tell You (Perform 2026 Breakdown)

    Dynatrace just made the biggest announcement in company history at Perform 2026 in Las Vegas. CTO and Founder Bernd Greifeneder revealed Dynatrace Intelligence, a fundamentally new approach to AI-powered operations that fuses deterministic AI with agentic AI. In this episode, I walk through the actual keynote footage, pause at the moments that matter, and translate what it means for IT teams in government, education, and any organization running complex environments with limited resources. We cover the compounding AI accuracy problem (95% x 10 calls = 60%), the three deterministic agents (Root Cause, Analytics, Forecasting), the 12x benchmark results, domain-specific agents for security and development, and why this matters for resource-constrained teams.

    Dynatrace Intelligence: What the CTO Didn't Tell You (Perform 2026 Breakdown)

  7. 11/04/2025

    #31 Near-Death Experiences PROVE Consciousness Exists Outside the Brain | The Distributed Mind Theory

    How do people with ZERO brain activity have the most vivid experiences of their lives? After 2 years of research, I've discovered consciousness works like distributed computing - and it changes EVERYTHING about life, death, and AI. In this mind-blowing episode, discover: Why thousands of verified NDE cases break neuroscience How blind people can SEE during near-death experiences The shocking parallels between consciousness and cloud computing Real cases: Maria's tennis shoe, Pam Reynolds' brain surgery Why your "shower insights" are actually field consciousness What Google's LaMDA sentience claims reveal about awareness Drawing from 20+ years in distributed computing and IT leadership, I connect the dots between technology architecture and consciousness in ways that will fundamentally change how you see reality. 🔬 Evidence & Research Featured: Dr. Jeffrey Long's 4,000+ documented NDE cases (NDERF.org) University of Southampton's groundbreaking cardiac arrest study Kenneth Ring & Sharon Cooper's blind NDE research Nobel Prize winner Sir John Eccles' consciousness theory 📚 COMING NEXT IN THE SERIES: Episode 32: Reincarnation - What Children Remember Episode 37: AI Consciousness Convergence Episode 38: Hacking Your Brain's Filter Episode 40: The Mathematics of Life Reviews 🎙️ ABOUT THE PODCAST: Thriving in Ambiguity - where we break down the complexities of technology, ideally without losing our minds. Hosted by Steve Mancini, Account Manager at Dynatrace, former IT Director, and author of the upcoming book "The Distributed Mind: What Technology Is Teaching Us About Consciousness." 📖 THE BOOK: "The Distributed Mind: What Technology Is Teaching Us About Consciousness" - Coming Soon! 💬 JOIN THE CONVERSATION: Share YOUR experiences - shower insights, answered prayers, unexplained knowing. We're all part of this distributed system! 🔗 CONNECT WITH STEVE: LinkedIn: https://www.linkedin.com/in/techstevemancini/  Podcast Website: http://www.thrivinginabiguity.com ⏰ TIMESTAMPS: 00:00 The Bold Claim That Changes Everything 02:00 Evidence #1: Crystal-Clear Death Consciousness 04:30 Evidence #2: Verified Out-of-Body Observations 06:45 Evidence #3: Blind People See During NDEs 08:00 The Framework: Your Brain as Edge Device 11:00 The Filter Theory & Shower Insights 13:00 What This Means for YOU 14:00 Coming Episodes Preview #NearDeathExperience #Consciousness #DistributedComputing #NDE #Neuroscience #AI #Spirituality #ThrivingInAmbiguity #Podcast

  8. 10/27/2025

    #30 Children Remember Past Lives: 2,500 Cases of Reincarnation Science | University of Virginia Study

    What if consciousness survives death? For over 50 years, researchers at the University of Virginia have documented 2,500+ cases of children who remember detailed past lives—complete with verifiable facts, birthmarks matching fatal wounds, and memories that defy explanation. In this episode of Thriving In Ambiguity, I break down the rigorous scientific research conducted by Dr. Jim Tucker and Dr. Ian Stevenson, including jaw-dropping cases like: Ryan, who remembered being 1930s Hollywood talent agent Marty Martin—verified with 50+ specific details James Leininger, who recalled being a WWII pilot shot down over the Pacific Children with birthmarks matching autopsy reports from their "previous" deaths This isn't pseudoscience—it's methodical documentation that challenges everything we think we know about consciousness, memory, and what happens when we die. 🔍 KEY TOPICS COVERED: ✅ How the University of Virginia verifies past life cases ✅ Why 70% of remembered deaths are violent or sudden ✅ The "TV receiver" theory of consciousness ✅ Why memories fade by age 6-7 ✅ What quantum physics says about consciousness 📚 RESOURCES MENTIONED: UVA Division of Perceptual Studies: [link] "Life After Life" by Dr. Raymond Moody "Soul Survivor" by Bruce and Andrea Leininger Whether you're a skeptic or a believer, this evidence will make you question everything. Let's explore the ultimate ambiguity together. 👋 ABOUT THRIVING IN AMBIGUITY: Where we break down the complexities of technology, consciousness, and life—ideally without losing our minds. Hosted by Steve Mancini, exploring the questions that don't have easy answers. 🔔 Subscribe for more episodes on AI, observability, consciousness, and the mysteries that shape our world. 💬 Comment below with your thoughts—I read and respond to every one! #Reincarnation #PastLives #Consciousness #Science #UniversityOfVirginia #Mystery #Afterlife #Quantum #Psychology #ThrivingInAmbiguity

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About

Understand what's changing. Apply what matters. I'm Steve Mancini. On Thriving in Ambiguity, I break down AI and emerging technology so you can understand what's happening, why it matters, and how to apply it to your work and everyday life. After 18 years in education IT and roles at Dell, HPE, and now Dynatrace, I've seen technology from the classroom to the enterprise. My favorite part has always been helping people solve problems. Expect relatable stories, practical examples, and guest conversations about what these changes make possible and what we need to think through. Whether you're an IT leader or simply curious about AI, you don't need to know all the jargon to join the conversation. Stay curious. Subscribe for clarity. Views are my own, not those of my employer.

Information

  • Creator
    Steve Mancini
  • Years Active
    2025 - 2026
  • Episodes
    37
  • Rating
    Explicit
  • Copyright
    © 2025
  • Show Website
    Thriving in Ambiguity