Podcasts about Computer science

Thank you to our sponsors! Figure Crypto Tax Girl Are bitcoiners underestimating the quantum threat to Bitcoin? That's the question Castle Island Ventures Partner Nic Carter has posed with some recent posts gauging the views of several leading Bitcoin developers on quantum computing. To help answer the question, Unchained reached out to Ethereum Foundation Researcher Justin Drake and Michigan University Professor Chris Peikert. In this episode, Justin and Chris, who is one of the foremost experts on lattice cryptography, break down the quantum computing threat to crypto and the potential timelines. Justin theorizes that Bitcoin developers may not be incentivized to talk about the quantum computing risk while still saying that a number of smart people are already taking it seriously and that may be enough. Conversely, Chris highlights the constraints that come with uncertainty around risks and timelines. Listen to find out what they conclude. Plus, could AI do crypto in before quantum computers? Guests: Justin Drake, Researcher at the Ethereum Foundation Chris Peikert, Professor, Computer Science and Engineering, University of Michigan Links: Ethereum and Optimism Lay the Groundwork for a Post-Quantum Future Q-Day Is Imminent. Can Bitcoin Survive the Quantum Threat? Solana Deploys Post-Quantum Signatures on Testnet Cracking Bitcoin Encryption Is Getting Much Easier, Google Says Learn more about your ad choices. Visit megaphone.fm/adchoices

Discover how Nasdaq uses data platforms at a massive scale to power markets and prepare for AI. Angie Ruan, Nasdaq's CTO of Capital Access Platforms, explains how large-scale data systems support market integrity, transparency, and decision-making across public and private markets. She defines what it really means to be AI-ready, how leaders should modernize data platforms, and how market fundamentals help separate real AI value from hype.Key Moments:Why Nasdaq Is More Than a Stock Exchange (06:10): Angie reframes Nasdaq as a global technology company rather than a traditional exchange, explaining how data, platforms, and engineering underpin trust, resilience, and transparency across public and private markets.The Scale of Market Data Powering the Global Financial System (11:15): Angie breaks down the massive scale of Nasdaq's data ecosystem, including hundreds of billions of market messages per day and platforms supporting more than $90 trillion in assets. She explains how data quality and reliability are foundational to market integrity and decision-making.Building a Unified Data Intelligence Platform at Nasdaq (16:35): Angie explains how Nasdaq approaches data architecture, governance, and platform design to create a unified data intelligence layer. She shares why access control, operational efficiency, and data trust matter more than raw data volume when enabling analytics and AI at scale.The AI-Ready Playbook for Data and AI Leaders (19:20): Drawing on her experience across startups and large enterprises, Angie outlines a practical framework for data and AI transformation. She emphasizes cloud adoption, breaking down silos, listening to business needs, and treating platform modernization as both a technical and organizational challenge.Is AI a Bubble? Using Market Data to Separate Hype from Reality (31:00): Angie applies a data-driven lens to the AI bubble debate, examining earnings growth, margins, return on equity, and capital investment. She explains why current financial indicators suggest today's AI moment differs fundamentally from past technology bubbles.Key Quotes:“ The foundation of any data strategy is actually cloud… If you don't put the data or the actual system in the cloud, it's much harder in terms of services and platform, let alone AI.” - Angie Ruan“Data is great, but the more important [thing]... is how we put it all together.” - Angie Ruan“ The world is going to change so fast… Being curious [and] continuing to learn, it is so important.” - Angie RuanMentionsInside the Invitation-Only Stock Market for the WealthyNasdaq eVestment: The Institutional Intelligence Platform Powering $90T+ in DecisionsGuest Bio Angie Ruan is the Chief Technology Officer, Capital Access Platforms at Nasdaq. An award-winning industry leader, Ms. Ruan holds four technical patents and has been instrumental in driving digital transformation across many industries, including enterprise application, e-commerce, payment, and capital markets. She most recently served as Vice President of Engineering at Chime before returning to Nasdaq where she was the Senior Vice President of Global Technology, responsible for overseeing the development of Key Market Technology Products and Corporate Platforms. Prior to joining Nasdaq, Ms. Ruan served as the Global Group Technology Vice President of consumer experiences and platform for American Express, where she was responsible for the digital transformation of American Express web and mobile technology. Before then, she was the Unit CIO for U.S. Consumer and U.S. Small Business, and was also Head of Engineering for Global PayPal Retail and Merchant product lines. As well, she held various executive engineering leadership roles at eBay including building the eBay messaging system, creating the eBay mobile platform, and transforming the DevOps organization.Recognized as one of Silicon Valley's Women of Influence, Ms. Ruan holds an M.S. in Computer Science from the University of California, Santa Barbara, and studied undergraduate in Computer Science at Tsinghua University of China. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Kapil Gupta, former Enterprise AI Product & Platform Leader at Cigna, shares insights from more than two decades of turning cutting-edge technology into enterprise-ready products. He unpacks the difference between generative AI and agentic AI, and why governance, user choice, and thoughtful design matter just as much as innovation. Learn how enterprises can scale responsibly and why the best technology often feels invisible to the people using it. Key Takeaways:  The tangible difference between generative AI and agent-based workflows Why adoption depends on fitting into existing workflows, rather than forcing behavior change The challenge of legacy systems and disconnected data How companies can innovate quickly without introducing unnecessary risk How pushing back, probing, and questioning AI can unlock more value Why listening to users matters more than building flashy features Guest Bio: Kapil Gupta is an executive product leader specializing in leveraging emerging technologies to solve complex business problems at scale. As a leader of AI product and platform teams at Cigna and previously at industry leaders like Capital One, Deloitte, and IBM, he has turned breakthrough innovations like Generative AI into practical enterprise solutions.  Kapil is driven by a focus on crafting AI-driven product experiences that solve real problems and ensure high adoption, bridging the gap between sophisticated technology and business value. He balances high-level strategic vision with a passion for staying hands-on, often vibe coding prototypes to prove out new concepts. Kapil holds an MS in Computer Science and an MBA from NYU Stern. He shares his work at kapilgupta.me and lives in New York. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte

Why should we still be planting churches—and what should church planting look like in a rapidly changing world? In this episode, Loren is joined by Len Tang, Director of the Church Planting Initiative at Fuller Seminary, for a wide-ranging conversation about mission, formation, and the future of church planting. Drawing on his experience planting churches and training planters across diverse contexts, Len reframes church planting as a normal part of the church's life cycle—one that includes birth, growth, reproduction, and sometimes faithful endings. The conversation explores why growth alone is an inadequate metric, how global migration is reshaping mission fields, and why new expressions of church must be deeply contextual, diverse, and disciple-centered. Loren and Len also discuss the emotional and spiritual realities of church planting: grief, resilience, failure, and the importance of practices like Sabbath, lament, and community support. Rather than treating church planting as a silver bullet, the episode makes the case for forming leaders with character, humility, and a deep grounding in the way of Jesus. This is a thoughtful conversation for pastors, planters, denominational leaders, and anyone discerning how the church can participate faithfully in God's mission today. Topics Include Why church planting is a normal—and finite—part of church life Growth, reproduction, and the reality of church endings Global migration and new mission fields close to home Moving beyond one-size-fits-all planting models Bivocational ministry, social entrepreneurship, and sustainability Character over charisma in church planting leadership Grief, failure, and resilience in ministry Discipleship as the true measure of fruitfulness   Len Tang is the Director of the Church Planting Initiative at Fuller Seminary, and has planted two churches: Cedar Creek Church in Sherwood, Oregon, and Missio Community Church in Pasadena, CA. He received a B.S. in Electrical Engineering and Computer Science from UC Berkeley and an MDiv from Fuller Seminary. He is married to Amy and they have three young adult boys, a cat, and an electric motorcycle.   Mentioned Resources:

For all that human beings spend a lot of their time thinking, it's far from obvious what that process actually entails. Part of it amounts to classical logical reasoning. But an even bigger part involves reasoning with probability and uncertainty. And some of it is governed by unavoidable limitations on time and accuracy. Psychologist and computer scientist Tom Griffiths suggests that we have thought about it enough to feel that we have come to understand some general principles, which he explains in his new book The Laws of Thought: The Quest for a Mathematical Theory of Mind. Take your personal data back with Incogni! Use code MINDSCAPE at this link and get 60% off an annual plan: https://incogni.com/mindscape #sponsore Blog post with transcript: https://www.preposterousuniverse.com/podcast/2026/02/09/343-tom-griffiths-on-the-laws-of-thought/ Support Mindscape on Patreon. Tom Griffiths received his Ph.D. in psychology from Stanford University. He is currently Professor of Psychology and Computer Science at Princeton University, Director of the Computational Cognitive Science Lab, and Director of the Princeton Laboratory for Artificial Intelligence. He is the co-author of Algorithms to Live By: The Computer Science of Human Decisions, as well as the upcoming The Rational Use of Cognitive Resources. Web site Princeton web page Google Scholar publications Wikipedia

Send us a textSaili Gosula is the owner and Executive Director of Active In-Home Therapy.  Until recently, she ran both Active In-Home Therapy and SYNERGY HomeCare.  Saili has a Master's Degree in Computer Science, and was the Director of Inventory Systems at Gap, Inc at her last corporate job.  After a successful 20+ year in Corporate IT, Saili decided to start her own business and work full-time in a job that she could be passionate about from beginning to end.  Always an avid volunteer in the schools and local non-profits, focusing on people and the community became more important to her, and she made a radical career switch.  She ran her home care agency for 12 years, where she got to help others, be involved in the community, and create jobs.  Her two companies together provided a spectrum of services focused on keeping the elderly happy, healthy and safe at home – caregiving, physical therapy, massage therapy, and more. Saili differentiates herself by her tirelessly giving and positive approach.  This has quickly grown her businesses and provided her with many loyal fans and followers, across clients, associates, and employees. | I am a very active person, and know that staying active is good not only for your body, but also for your entire outlook in life.  There is a gap between what is needed and beneficial and what insurance will cover.  We fill that gap.  We help people reach their potential. |Active In-Home Therapy | www.activeinhometherapy.com saili@activeinhometherapy.com | 650-530-2072Sign up for one of our negotiation courses at ShikinaNegotiationAcademy.comThanks for listening to Negotiation with Alice! Please subscribe and connect with us on LinkedIn and Instagram!

This and all episodes at: https://aiandyou.net/ . One of the great wounds people are experiencing around AI is in creativity. Look at the writers' and actors' strikes, for example. Here to talk about this very sensitive subject is Maya Ackerman, author of the new book Creative Machines: AI, Art, and US, which tackles it head on, full of emotion, vulnerability, and poetry.  Maya is the CEO and co-founder of Wave AI, and professor of Computer Science at Santa Clara University. She completed postdoctoral fellowships at Caltech and UC San Diego, and has authored over 50 peer-reviewed publications. She was named a Woman of Influence by the Silicon Valley Business Journal and her work has been featured in Forbes, NPR, Fortune, and NBC News. She is also a singer, pianist, and songwriter. We talk about how Maya's interdisciplinary backgrounds of machine learning and computational creativity converged in her book, what Maya calls “humble creative machines”: AI collaborators and how they can uplift us, her concept of a co-creative spectrum where humans are served by AI assisting us in being more creative, and – opera singing. All this plus our usual look at today's AI headlines! Transcript and URLs referenced at HumanCusp Blog.        

Send us a textJoin hosts Ben Kornell and Alex Sarlin, joined by special co-host Mike Palmer, host of Trending in Ed, as they break down the biggest stories shaping AI, K–12 policy, higher education, and the global future of education.✨ Episode Highlights:[00:03:34] SchoolAI study shows teachers using AI for reasoning and inquiry [00:09:58] Denver Public Schools blocks ChatGPT over safety and privacy concerns [00:12:20] SoftBank invests another $30B in OpenAI as ads roll out [00:13:24] Gemini and Anthropic lead the race for AI in education [00:20:36] China launches nationwide AI literacy for K–12 [00:29:58] Most U.S. states still lack formal AI guidance for schools [00:33:13] Phone bans spread rapidly across schools [00:38:44] Higher ed enrollment rebounds but retention remains weakPlus, special guests:[00:46:19] Jeremy Smith, CEO and Co-founder of pega6, on one-year AI-first career accelerators [01:11:29] Stewart Brown, K–12 Computer Science and AI Literacy Leader at Code4Kids, on CS as a core elementary subject

Brent Michael Phillips is a former MIT computer scientist, author, healer, and spiritual teacher who uniquely bridges science and spirituality. A Phi Beta Kappa graduate of MIT with degrees in Computer Science and Engineering, Brent left a successful tech career after experiencing a spontaneous, instantaneous healing that radically changed the course of his life. Inspired by this profound event, he dedicated himself to mastering energy healing and uncovering its scientific foundations.Brent founded Science Meets Spirit and developed the Awakening Dynamics system and the patent-pending Formula for Miracles®. Since 2004, he has helped thousands of clients worldwide through private sessions, workshops, and books, facilitating physical healing, emotional transformation, and expanded consciousness. Widely recognized as a pioneer in energy healing, Brent continues to teach and inspire others on the path from awakening to enlightenment.Website https://www.AwakeningDynamics.com Email  support@awakeningdynamics.com YouTube Channel  https://www.youtube.com/c/AwakeningDynamicswithBrentMichaelPhillips Instagram https://www.instagram.com/brentmichaelphillips_expert/ Facebook https://www.facebook.com/brent.michael.phillips.master.healer LinkedIn https://linkedin.com/in/brent-phillips-expert/ Elite Private Coaching/Healing Visit https://awakeningdynamics.com/private-sessions Or email sessions@awakeningdynamics.com

I spoke to Tan Zhi Xuan, Assistant Professor at the National University of Singapore's Department of Computer Science and founder of the Cooperative Intelligence and Systems Lab, a research group confronting the gap between the rationalist AI alignment discourse focused on superintelligence and what is actually happening.I had her on to talk about her work on cooperative AI (designing AI systems and institutions that promote beneficial cooperation among AI-empowered actors rather than conflict), her critique of techno-solutionist AI alignment approaches that ignore class interests and political economy, and how blockchain technologies might enable decentralized governance for a future of specialized AI agents. We also talk about the approach that Senator Bernie Sanders has taken recently in his critiques of AI companies.This episode is sponsored by NYM, the world's most private VPN. Unlike traditional VPNs, Nym uses a decentralized mixnet to scramble your internet data — hiding who you're talking to, when, and how often. You can switch between full mixnet mode for maximum anonymity, or a faster VPN mode for everyday use.Use the code blockchainsocialist when signing up and get an extra month!If you liked the podcast be sure to give it a review on your preferred podcast platform. If you find content like this important consider donating to my Patreon starting at just $3 per month. It takes quite a lot of my time and resources so any amount helps. Follow me on Twitter (@TBSocialist) or Mastodon (@theblockchainsocialist@social.coop) and join the r/CryptoLeftists subreddit. Support the showICYMI I've written a book about, no surprise, blockchains through a left political framework! The title is Blockchain Radicals: How Capitalism Ruined Crypto and How to Fix It and is being published through Repeater Books, the publishing house started by Mark Fisher who's work influenced me a lot in my thinking. The book is officially published and you use this linktree to find where you can purchase the book based on your region / country.

In this conversation, we explore the foundations of artificial intelligence with Ellie Pavlick, Assistant Professor of Computer Science at Brown University, a Research Scientist at Google Deepmind, and Director of ARIA, an NSF-funded institute examining AI's role in mental health support. Ellie's trajectory—from undergraduate degrees in economics and saxophone performance to pioneering research at the intersection of AI and cognitive science—reflects the kind of interdisciplinary thinking increasingly essential for understanding what these systems are and what they mean for us.Ellie represents a generation of researchers grappling with what she calls a "paradigm shift" in how we understand both artificial and human intelligence. Her work challenges long-held assumptions in cognitive science while refusing to accept easy answers about what AI systems can or cannot do. As she observes, we're witnessing concepts like "intelligence," "meaning," and "understanding" undergo the kind of radical redefinition that historically accompanies major scientific revolutions—where old terms become relics of earlier theories or get repurposed to mean something fundamentally different.Key themes we explore:- The Grounding Question: How Ellie's thinking evolved from believing AI fundamentally lacked meaning without embodied sensory experience to recognizing that grounding itself is a more complex and empirically testable question than either side of the debate typically acknowledges- Symbols Without Symbolism: Her recent collaborative work with Tom Griffiths, Brenden Lake, and others demonstrating that large language models exhibit capabilities previously thought to require explicit symbolic architectures—challenging decades of cognitive science orthodoxy about human cognition- The Measurability Problem: Why AI's apparent success on standardized tests reveals more about the inadequacy of our metrics than the adequacy of the systems, and how education, hiring, and relationships have always resisted quantification in ways we conveniently forget when evaluating AI- Intelligence as Moving Target: Ellie's argument that "intelligence" functions as a placeholder term for "the thing we don't yet understand"—always retreating as scientific progress advances, much like obsolete scientific concepts such as ether- The Value Frontier: Why the aspects of human experience that resist quantification may be definitionally human—not because they're inherently unmeasurable, but because they represent whatever currently sits beyond our measurement capabilities- Mental Health as Hard Problem: Why her new institute focuses on arguably the most challenging application domain for AI, where getting memory, co-adaptation, transparency, and long-term human impact right isn't optional but essentialEllie consistently pushes back against premature conclusions—whether it's claims that AI definitively lacks meaning or assertions that passing standardized tests proves human-level capability. Her approach emphasizes asking "are these processes similar or different?" rather than making sweeping judgments about whether systems "really" understand or "truly" have intelligence. As Ellie notes, we're at the "tip of the iceberg" in understanding these systems—we haven't yet pushed them to their breaking point or discovered their full potential.Her work on ARIA demonstrates this philosophy in practice. Rather than avoiding mental health applications because they're ethically fraught, she's leaning into the difficulty precisely because it forces confrontation with all the hard questions—from how memory works to how repeated human-AI interaction fundamentally changes both parties over time. It's research that refuses to wait a generation to see if we've "screwed up a whole generation."

In this episode, we covered: 1) Pete's 4-part framework for modern leadershipPete lays out what he sees as “endemic” to great leadership today:Master cash flow (because nothing survives without it)Know whether you're a visionary or an integrator (and don't pretend you're both)Be the master motivator (the era of fear-based leadership is over)Own the culture (and use story as one of your most powerful tools to shape it) 2) Storytelling as culture-engineeringWe dig into why stories are more than “nice to have.” Stories become the myths that create the mythology of a company—how values become behavior at scale. And if you want to influence culture, yesterday was easier than today. 3) The next AI infrastructure shift: from training to inferencingPete breaks down the difference between:Training LLMs (building the model)Inferencing (asking the model questions in real time—what most people experience as “prompting”)Then he takes it further: the next wave isn't human inferencing—it's machine inferencing. Robots, cars, devices, sensors… constantly asking “what do I do next?” at massive scale. 4) Why “edge” data centers are coming backPete predicts we'll move away from only massive, centralized “mega” campuses toward distributed, high-performance data centers near the edge—“in every town,” similar to telecom “points of presence” in the 1990s. That's the strategic thesis behind Gray Wolf Data Centers.   5) The modern mystic: mind, body, and the inner gamePete shares a candid chapter of his own life—anxiety, therapy, CBT, and a pivotal lesson: don't make the events you can't control your “problems.” He connects this to resilience through sleep, health practices, and the belief that we can reshape the mind through neuroplasticity—and even how he sees us as “quantum beings,” responsible for how we observe and choose our reality. 6) A hopeful thesis: “good AI” vs “bad AI” + post-scarcityWe touch the fear many people carry (yes, I mention growing up in the Terminator era), but Pete offers a provocative counter: the way we beat bad AI is with good AI—models designed around human flourishing and shared broadly as a public service. He believes we're headed through disruption toward post-scarcity, and that our descendants will wonder why we didn't support each other sooner. 7) The closing leadership message: “we are all one”Pete's final note is the one that matters most to me: we're all connected—and we're here for each other. In my book, that's not just a spiritual idea; it's a leadership standard. ----- Resources Mentioned:Pete's company: Gray Wolf Data CentersPete's book: Living in Bliss: Achieve a Balanced Existence of Body, Mind and SpiritPete's site: PeteSacco.com (signed copies + meditation materials)Dr. David Burns: The Feel Good HandbookDan Sullivan: Who Not How (and other referenced works)Peter Diamandis: longevity reference ----- If you want to apply this immediately:Ask yourself: Am I the visionary or the integrator here? (And who do I need as my counterbalance?)  Choose one cultural value you care about—and tell a story that proves it.  If AI is making you anxious, zoom out: are you preparing for the training era, or the inferencing era?  ----- https://petesacco.comPete Sacco is a visionary entrepreneur, technologist, and modern-day mystic who blends conscious leadership with breakthrough innovation. As the founder of multiple ventures—including PTS Data Center Solutions, INTUVA, GRID7, InstaGuardIP, and Gray Wolf Data Centers—Pete has led transformative initiatives across AI, energy, blockchain, and digital infrastructure. His journey from electrical engineer to spiritual author and advisor reflects a rare fusion of high performance and inner awakening. Pete is the author of Living in Bliss: Achieve a Balanced Existence of Body, Mind, and Spirit, a guide for high achievers seeking fulfillment beyond success. A finalist for Ernst & Young's Entrepreneur of the Year, Pete holds a B.S. in Electrical Engineering from Fairleigh Dickinson University, and serves on the advisory board of its School of Computer Sciences and Engineering. Based in New Jersey, he helps purpose-driven professionals unlock clarity, vitality, and purpose—one system, one person, and one moment at a time.  --------John Bates provides 1:1 Executive Communications Coaching, both in-person and online. He also gets 92+ Net Promoter Scores for his large and small group leadership development trainings at organizations like Johnson & Johnson, NASA, Google, Intuit, Boston Scientific, and many more. Find more at https://executivespeakingsuccess.com.Sign up for his weekly micro-trainings for free at https://johnbates.com/mini-trainings and create a great leadership communications habit that makes you the kind of leader who inspires trust, loyalty, and connection.

What if the most effective strategy for leading change isn't fear-based urgency, but love? In this episode, Kevin sits down with Mohammad Anwar to explore a rethinking of how leaders can approach change by centering people, building trust, and creating psychological safety. Together, Kevin and Mohammad discuss why traditional change management approaches fail, how fear activates resistance, and why prioritizing emotional intelligence and human connection leads to sustainable transformation. They dive into six behavioral principles that underpin "love as a change strategy," including embracing discomfort, practicing empathetic curiosity, and wielding influence effectively. Mohammad also challenges conventional models like Maslow's hierarchy, advocating instead for love and belonging as the true foundation of human needs. Listen For 00:00 Why change requires leadership 00:35 Podcast welcome and purpose 01:39 Introducing Mohammad Anwar 03:35 The big idea Love as a Change Strategy 04:59 Defining love in a business context 07:38 The problem with fear based change 08:30 How love became the strategy 09:38 Personal crisis and leadership turning point 12:35 Football story and love as performance fuel 15:19 Why Maslow's hierarchy misses the mark 17:22 The six principles of leading change 22:55 Why empathetic curiosity matters 26:41 The hardest principle embrace discomfort 29:48 Choose your hard 32:34 Where to learn more and get the book 33:27 Final reflection now what Mohammad's Story: Mohammad Anwar is the Wall Street Journal bestselling author of Love as a Business Strategy: Resilience, Belonging & Success and his latest book, Love as a Change Strategy. He is the President and CEO of Softway and Culture+. A proud American Leadership Forum Senior Fellow (Class 59), Mohammad's story is as bold as his ideas. At just 20 years old, while still pursuing his B.S. in Computer Science with a minor in Mathematics at the University of Houston, Mohammad launched Softway with his family. What began in 2003 as a small web development company for local merchants has since grown into a global, people-first consulting firm specializing in digital transformation, culture, communication, and AI integration—without sacrificing humanity. https://www.softway.com/ https://www.culture-plus.com/ https://www.loveasastrategy.com/ https://www.linkedin.com/in/manwarsoftway/ https://www.linkedin.com/company/teamsoftway/ https://www.linkedin.com/company/culture_plus/ https://loveasachangestrategy.com/ This Episode is brought to you by... Flexible Leadership is every leader's guide to greater success in a world of increasing complexity and chaos.  Book Recommendations Love as a Change Strategy: Innovation, Growth, and Transformation by Mohammad F. Anwar, Frank E. Danna, Jeffrey F. Ma, Christopher J. Pitre  Wisdom Takes Work: Learn. Apply. Repeat. (The Stoic Virtues Series) by Ryan Holiday  Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI by Karen Hao  Like this? Becoming a Change Maker with Alex Budak The Problem with Change with Ashley Goodall The Art of Change with Jeff DeGraff Join Our Community If you want to view our live podcast episodes, hear about new releases, or chat with others who enjoy this podcast join one of our communities below. Join the Facebook Group Join the LinkedIn Group   Leave a Review If you liked this conversation, we'd be thrilled if you'd let others know by leaving a review on Apple Podcasts. Here's a quick guide for posting a review. Review on Apple: https://remarkablepodcast.com/itunes   

#truetalks #podcast #interview #professor #researcher #robotics #AI #artificialintelligence #LLM #GuideDogOn this episode of the Truetalks Podcast, we sit down with a very special guest, Professor Shiqi Zhang. Shiqi Zhang is an Associate Professor of Computer Science and a researcher at Binghamton University, who offers a unique perspective on the intersection of robotics and AI.Professor Zhang, who has been working on all kinds of robots for 15 years, discusses his background, including his early work in pattern recognition that led to technology for cell phones to automatically rotate images based on gravity detection. He clarifies a big misconception, explaining that AI is "much more than generative... models," encompassing fields like computer vision, robotics, and natural language processing. We also explore the future of mobile robotics, including advancements in the locomotion of humanoid robots, and his current work on developing a robotic guide dog to serve the blind and visually impaired. The goal of this research is to provide an alternative to biological guide dogs, since training a guide dog can be very expensive, costing about $50,000 in many places or up to $150,000 in New York State, and the graduation rate is low, under 50%.Get ready to rethink your understanding of AI and the transformative work being done in robotics.

Charles Acknin is Co-Founder and CEO of Skyways.  Skyways is building unmanned aircraft systems designed to revolutionize autonomous cargo transportation. Unlike many competitors still in development, Skyways' aircraft are operational today — carrying meaningful payloads over significant distances for both military and commercial customers. Based in Austin, Skyways is now shifting toward mass production of its autonomous aircraft, building confidence through real-world cargo missions that could ultimately enable future passenger applications. At Skyways, Charles leads the company's strategic vision and oversees operations, product development, and growth initiatives in autonomous aviation. Prior to Skyways, Charles co-founded and served as CEO of Elixir Labs. Before that, he was a Senior Software Engineer at Google, where he worked on the company's search engine for nearly five years and spent a year advancing Google's mission of universal accessibility. Earlier in his career, Charles held engineering roles at Oracle, Cosworld-Asia in Shanghai, and Amadeus. He also participated in Google Summer of Code, contributing to the open-source version control system Subversion. Charles holds a Master of Science in Software Engineering from Oxford Brookes University and a Master of Science in Computer Science from SUPINFO. In this episode of the Drone Radio Show, Charles shares how Skyways is turning autonomous cargo drones from experimental technology into dependable, scalable logistics systems.

We're joined by the four authors of *Digital Theory* — M. Beatrice Fazi, Alexander R. Galloway, Matthew Handelman, and Leif Weatherby — for a roundtable on their new collaborative work.Digital Theory (University of Minnesota Press, 2025) makes a deceptively simple but far-reaching claim: the digital is theoretical. Not in the sense that we theorize about it, but that digitality itself — mediation through discrete units — is a condition for thinking as such.Just to get it out of the way, listeners to the pod know that these four thinkers need no introduction. This is literally the cohort that we've held in our minds over the past few years (there's probably nobody whose shaped our brains as formatively on this subject than Alexander Galloway, whose writing was the subject of Marek's en route masters thesis and the first PDF sent between Marek and Roberto). The conversation opens up a series of productive disagreements within the group. What's the relationship between the digital and computation? For Fazi, the digital is discretization — "the cut" — while computation is systematization, building, constructing. This distinction allows the book to think the digital before and beyond the computer, back to proto-writing tokens and forward to whatever comes next. A major target here is what Galloway calls "analog philosophy," the dominant strain of theory over the last few decades that privileges affect, sensation, intensity, immanence. Deleuze is named directly as the great philosopher of the analog: obsessed with the fold, hostile to structuralism, drawn to "a language of breaths and screams." The authors aren't throwing Deleuze overboard entirely (to them the "Postscript on the Societies of Control" still hits) but they're skeptical that his ontology can account for digital technology as a form of thought. REFERENCES:*Digital Theory* (In Search of Media series), University of Minnesota Press, 2025 https://www.upress.umn.edu/9781517920197/digital-theory/M. Beatrice Fazi - *Contingent Computation: Abstraction, Experience, and Indeterminacy in Computational Aesthetics*, Rowman & Littlefield, 2018 https://rowman.com/ISBN/9781786606082/Contingent-Computation-Abstraction-Experience-and-Indeterminacy-in-Computational-AestheticsAlexander R. Galloway - *Uncomputable: Play and Politics in the Long Digital Age*, Verso, 2021 https://www.versobooks.com/products/2656-uncomputable - "Golden Age of Analog," *Critical Inquiry* 48, no. 2 (2022) https://www.journals.uchicago.edu/doi/abs/10.1086/717324 - Galloway's website and blog https://cultureandcommunication.org/galloway/Matthew Handelman - *The Mathematical Imagination: On the Origins and Promise of Critical Theory*, Fordham University Press, 2019 https://www.fordhampress.com/9780823283842/the-mathematical-imagination/Leif Weatherby - *Language Machines: Cultural AI and the End of Remainder Humanism*, University of Minnesota Press, 2025 https://www.upress.umn.edu/book-division/books/language-machines (our book of the year, for what it's worth) - *Transplanting the Metaphysical Organ: German Romanticism between Leibniz and Marx*, Fordham University Press, 2016 - Digital Theory Lab at NYU https://as.nyu.edu/faculty/leif-allison-reid-weatherby.htmlSome References Discussed:Gilles Deleuze, "Postscript on the Societies of Control" (1992)Theodor Adorno & Max Horkheimer, *Dialectic of Enlightenment*Euclid, *Elements*, Book V (on analog/logos)Jacques Lacan, *Seminar II: The Ego in Freud's Theory and in the Technique of Psychoanalysis* (on cybernetics)François Laruelle and Alain Badiou, on the genericEve Tuck, "Breaking Up with Deleuze"Hito Steyerl, "How Not to Be Seen: A Fucking Didactic Educational .MOV File" (2013)

Kris Beevers is the CEO at NetBox Labs, working on turning NetBox into the system of record and automation backbone for modern and AI-driven infrastructure.Speed and Scale: How Today's AI Datacenters Are Operating Through Hypergrowth // MLOps Podcast #359 with Kris Beevers, CEO of NetBox LabsJoin the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: https://go.mlops.community/gpuguide// AbstractHundreds of neocloud operators and "AI Factory" builders have emerged to serve the insatiable demand for AI infrastructure. These teams are compressing the design, build, deploy, operate, scale cycle of their infrastructures down to months, while managing massive footprints with lean teams. How? By applying modern intent-driven infrastructure automation principles to greenfield deployments. We'll explore how these teams carry design intent through to production, and how operating and automating around consistent infrastructure data is compressing "time to first train".// BioKris Beevers is the Co-founder and CEO of NetBox Labs. NetBox is used by nearly every Neocloud and AI datacenter to manage their networks and infrastructure. Kris is an engineer at heart and by background, and loves the leverage infrastructure innovation creates to accelerate technology and empower engineers to do their best work. A serial entrepreneur, Kris has founded and helped lead multiple other successful businesses in the internet and network infrastructure. Most recently, he co-founded and led NS1, which was acquired by IBM in 2023. He holds a Ph.D. in Computer Science from Rensselaer Polytechnic Institute and is based in New Jersey.// Related LinksWebsite: https://netboxlabs.com/Coding Agents Conference: https://luma.com/codingagents~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Kris on LinkedIn: /beevek/Timestamps:[00:00] Observability and Delta Analysis[00:26] New World Exploration[04:06] Bottlenecks in AI Infrastructure[13:37] Data Center Optimization Challenges[19:58] Tech Stack Breakdown[25:26] Data Center Design Principles[31:32] Constraints and Automation in Design[40:00] Complexity in Data Centers[45:02] GPU Cloud Landscape[50:24] Data Centers in Containers[57:45] Observability Beyond Software[1:04:43] Tighter Integrations vs NetBox[1:06:47] Wrap up

Our ears, nose, and throat (ENT) work quietly together to shape how we hear, breathe, taste, and even defend ourselves against the outside world. From the often-misunderstood role of earwax to why dry air and seasonal changes make nosebleeds more common—and how inflammation and mucosal irritation contribute to sore throats—many everyday ENT issues are actually signs of smart protective design. But with such a complex system, how simple can effective treatments really be? Can warm tea with honey actually soothe throat irritation? Are cotton swabs really bad for our ears? Can spicy foods truly clear sinus infections?In this episode, we are joined by Dr. Chris Park, MD (known online as ChrisP.MD), an Otolaryngology (ENT) - Head & Neck Surgery Chief Resident Physician.Dr. Park received his B.A. in Biology and Computer Science from Dartmouth College and his M.D. with Distinction in Research from the Icahn School of Medicine at Mount Sinai, where he was a Researcher at the Laryngology Lab. Dr. Park is currently completing his ENT residency at the Indiana University Department of Otolaryngology-Head and Neck Surgery and recently matched into the Facial Plastic & Reconstructive Surgery Fellowship at the University of Pennsylvania Department of Otorhinolaryngology-Head and Neck Surgery.Online, Dr. Park has amassed over 350,000 followers, beginning his journey on TikTok, sharing his life surrounding medicine.Follow Friends of Franz Podcast: Website, Instagram, FacebookFollow Christian Franz (Host): Instagram, YouTube

Feb. 3/2026 Brent Michael Phillips is a former MIT computer scientist, author, healer, and spiritual teacher who uniquely bridges science and spirituality. A Phi Beta Kappa graduate of MIT with degrees in Computer Science and Engineering, Brent left a successful tech career after experiencing a spontaneous, instantaneous healing that radically changed the course of his life. Inspired by this profound event, he dedicated himself to mastering energy healing and uncovering its scientific foundations. Brent founded Science Meets Spirit and developed the Awakening Dynamics system and the patent-pending Formula for Miracles®. Since 2004, he has helped thousands of clients worldwide through private sessions, workshops, and books, facilitating physical healing, emotional transformation, and expanded consciousness. Widely recognized as a pioneer in energy healing, Brent continues to teach and inspire others on the path from awakening to enlightenment. Website  https://www.AwakeningDynamics.com  Email   support@awakeningdynamics.com  YouTube Channel   https://www.youtube.com/c/AwakeningDynamicswithBrentMichaelPhillips  Instagram  https://www.instagram.com/brentmichaelphillips_expert/  Facebook  https://www.facebook.com/brent.michael.phillips.master.healer  LinkedIn  https://linkedin.com/in/brent-phillips-expert/  Elite Private Coaching/Healing  Visit https://awakeningdynamics.com/private-sessions  Or email sessions@awakeningdynamics.com  

It's episode 225 and just in time for Valentine's Day we talk about Queer Romance! We discuss what counts and doesn't count as romance, ice hockey, regency, spies, demons, and more! Plus: Matthew reads a book he actually likes, Jam reads a book they dislike, and a fairly large chunk of the episode wasn't recorded and had to be edited around! Guess what parts were re-recorded! You can download the podcast directly, find it on Libsyn, or get it through Apple Podcasts or your favourite podcast delivery system. In this episode Anna Ferri | Meghan Whyte | Matthew Murray

Why do today's most powerful AI systems still struggle to explain their decisions, repeat the same mistakes, and undermine trust at the very moment we are asking them to take on more responsibility? In this episode of Tech Talks Daily, I'm joined by Artur d'Avila Garcez, Professor of Computer Science at City, St George's University of London, and one of the early pioneers of neurosymbolic AI. Our conversation cuts through the noise around ever-larger language models and focuses on a deeper question many leaders are now grappling with. If scale alone cannot deliver reliability, accountability, or genuine reasoning, what is missing from today's AI systems? Artur explains neurosymbolic AI in clear, practical terms as the integration of neural learning with symbolic reasoning. Deep learning excels at pattern recognition across language, images, and sensor data, but it struggles with planning, causality, and guarantees. Symbolic AI, by contrast, offers logic, rules, and explanations, yet falters when faced with messy, unstructured data. Neurosymbolic AI aims to bring these two worlds together, allowing systems to learn from data while reasoning with knowledge, producing AI that can justify decisions and avoid repeating known errors. We explore why simply adding more parameters and data has failed to solve hallucinations, brittleness, and trust issues. Artur shares how neurosymbolic approaches introduce what he describes as software assurances, ways to reduce the chance of critical errors by design rather than trial and error. From self-driving cars to finance and healthcare, he explains why combining learned behavior with explicit rules mirrors how high-stakes systems already operate in the real world. A major part of our discussion centers on explainability and accountability. Artur introduces the neurosymbolic cycle, sometimes called the NeSy cycle, which translates knowledge into neural networks and extracts knowledge back out again. This two-way process opens the door to inspection, validation, and responsibility, shifting AI away from opaque black boxes toward systems that can be questioned, audited, and trusted. We also discuss why scaling neurosymbolic AI looks very different from scaling deep learning, with an emphasis on knowledge reuse, efficiency, and model compression rather than ever-growing compute demands. We also look ahead. From domain-specific deployments already happening today to longer-term questions around energy use, sustainability, and regulation, Artur offers a grounded view on where this field is heading and what signals leaders should watch for as neurosymbolic AI moves from research into real systems. If you care about building AI that is reliable, explainable, and trustworthy, this conversation offers a refreshing and necessary perspective. As the race toward more capable AI continues, are we finally ready to admit that reasoning, not just scale, may decide what comes next, and what kind of AI do we actually want to live with?   Useful Links Neurosymbolic AI (NeSy) Association website Artur's personal webpage on the City, St George's University of London page Co-authored book titled "Neural-Symbolic Learning Systems" The article about neurosymbolic AI and the road to AGI The Accountability in AI article Reasoning in Neurosymbolic AI Neurosymbolic Deep Learning Semantics

Scott Aaronson is the Schlumberger Centennial Chair of Computer Science at The University of Texas at Austin, and director of its Quantum Information Center. He researches the capabilities and limits of quantum computers, and computational complexity theory more generally. For the 2022-2023 and 2023-2024 academic years, he was on leave to work at OpenAI on the theoretical foundations of AI safety. In this episode of Robinson's Podcast, Scott answers a host of questions about the basics of quantum computing. He and Robinson discuss the physics- and computer science elements of the field, how it connects to the foundations of quantum mechanics, the biggest myths about quantum computing, and whether quantum computers will every actually be built.Scott's Blog: https://scottaaronson.blogOUTLINE00:00 Scott's Interest in Quantum Computing07:10 Distinguishing the Physics from the Computer Science14:43 What Is Quantum Computation?39:41 The Interpretations of Quantum Mechanics53:31 Quantum Information55:54 Prime Factorization01:03:19 The Biggest Myths About Quantum Computing01:14:06 Can Quantum Computers Actually Be Built?Robinson's Website: http://robinsonerhardt.comRobinson Erhardt researches symbolic logic and the foundations of mathematics at Stanford University, where he is also a JD candidate in the Law School.

Learn how to adapt and evolve your business to thrive through market disruptions and scale beyond seven figures. I sit down with Itai Sadan to explore why the ability to adapt and evolve separates good entrepreneurs from exceptional ones. Itai shares the raw story of building Duda from a garage startup to a company hosting over one million websites, including the pivotal moment when declining revenues forced a complete product pivot. From escaping the founder's trap to navigating the mobile revolution and now AI disruption, this conversation delivers hard-won lessons on staying ahead of market shifts, persuading your team through change, and why you don't have to be first to win. Itai Sadan is the co-founder and CEO of Duda, a white-label website builder serving digital marketing agencies and SaaS platforms worldwide. He launched the company in 2008 from his garage in Mountain View with his high school friend Amir Glatt after recognizing the shift toward mobile internet. Prior to Duda, Itai held positions at SAP and Amdocs and founded InterSight, a data storage startup, at age 21. His insights on SMBs, digital agencies, and online marketing have been featured in USA Today, TechCrunch, The Huffington Post, and more. Itai holds a BSc in Computer Science and Mathematics from Ben Gurion University in Israel. KEY TAKEAWAYS: The founder's trap happens when everything depends on you, and escaping it requires hiring for your weaknesses first. Building a business is an ultra-marathon, not a sprint, so find a sustainable pace that allows for continuous learning. Market dynamics will thrust challenges upon you regardless of revenue milestones, so stay attuned to shifts beyond your control. When pivoting, use data and customer feedback to persuade your team rather than pulling rank as the boss. AI won't take your job, but a competitor using AI better than you will. You don't have to be first to market because Google, Facebook, and others all came after early movers and still won. Niching down and being crystal clear on who you serve positions you perfectly for the AI-forward buyer's journey. Surround yourself with mentors and smart people to play intellectual ping pong and spot blind spots you'd miss alone. Connect with Itai Sadan: Website: https://www.duda.co LinkedIn: https://www.linkedin.com/in/itaisadan Growing your business is hard, but it doesn't have to be. In this podcast, we will be discussing top level strategies for both growing and expanding your business beyond seven figures. The show will feature a mix of pure content and expert interviews to present key concepts and fundamental topics in a variety of different formats. We believe that this format will enable our listeners to learn the most from the show, implement more in their businesses, and get real value out of the podcast. Enjoy the show. Please remember to rate, review and subscribe to the podcast so you don't miss any future episodes. Your support and reviews are important and help us to grow and improve the show. Follow Charles Gaudet and Predictable Profits on Social Media: Facebook: facebook.com/PredictableProfits Instagram: instagram.com/predictableprofits Twitter: twitter.com/charlesgaudet LinkedIn: linkedin.com/in/charlesgaudet Visit Charles Gaudet's Wesbites:  www.PredictableProfits.com www.predictableprofits.com/community https://start.predictableprofits.com/community  

Cal Newport is carrying the banner for a movement to slow down. Cal is an Associate Professor of Computer Science at Georgetown University. He is also the New York Times bestselling author of eight books, including, his latest: Slow Productivity, which debuted at number two on the NYT list in March. Cal is also a contributing writer for The New Yorker and the host of the Deep Questions podcast. On this classic episode Cal joined host Robert Glazer on ⁠the Elevate Podcast⁠ for a deep-dive conversation on Slow Productivity, including how it works and why it can lead to achievement without burnout. Thank you to the sponsors of The Elevate Podcast Shopify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠shopify.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Masterclass: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠masterclass.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Framer: ⁠⁠⁠framer.com/elevate⁠⁠⁠ Northwest Registered Agent: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠northwestregisteredagent.com/elevatefree⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Homeserve: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠homeserve.com⁠⁠⁠⁠⁠ Indeed: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠indeed.com/elevate⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vanguard: ⁠vanguard.com/audio Learn more about your ad choices. Visit megaphone.fm/adchoices

Over the last 6 months, Paul Sztorc has compiled an impressive list of inconsistencies and significant losses from the Bitcoin maximalist camp. He referred to them as ”derangements” and we cover most of them in this brutally honest wakeup call. Read Paul's article: https://www.truthcoin.info/blog/derangements/ Time stamps: 00:01:16 Introduction & Article Overview 00:02:41 Defining Derangements 00:05:31 Truth vs. Loyalty in Bitcoin Culture 00:09:55 Leadership Void & Bitcoin Core Stagnation 00:14:25 Consensus, Soft Forks, and Governance 00:17:46 Block Size Wars & Scaling Debates 00:19:11 Bitcoin Cash, Competition, and Signaling Theory 00:27:27 Bitcoin SV, Craig Wright, and Cultural Derangements 00:31:52 Lightning Network as a Sacred Cow 00:41:14 Treasury Companies & Michael Saylor 00:51:37 Layer Two Labs & Scaling Solutions 00:54:16 Drivechain, Quantum Resistance, and L2 Competition 01:07:24 Soft Forks, BIP Process, and Development Paralysis 01:11:41 Ordinals, NFTs, and Filtering Debates 01:22:36 Attacks on Developers & Community Toxicity 01:25:24 CTV, Jeremy Rubin, and Soft Fork Misunderstandings 01:41:24 Ethereum, Altcoins, and Market Competition 01:51:16 Mining, Miners' Apathy, and Industry Scaling 02:03:09 Libbitcoin vs. Bitcoin Core 02:17:46 Final Rotation & Store of Value vs. Medium of Exchange 02:35:08 Non-Mined L2s, Rollups, and Miner Incentives 02:52:05 Purity Tests & Cancel Culture in Bitcoin 03:08:35 SegWit Discount & Taproot Critique 03:26:23 Address Formats, BIP47, and UX Derangements 03:36:50 Silent Payments, BIP47 & Privacy Features 03:55:05 Bitcoin Maximalism, Post-Maximalism, and Ideology 03:57:47 Game Theory, Politics, and Drivechain Criticism 04:00:14 Conclusion & Final Thoughts

Brenda Darden Wilkerson's journey from pre-med student to computer science pioneer reveals how systemic inequities are created by human choice and can therefore be unmade by human action. When she discovered Chicago's third-largest school district had no computer science curriculum, she recognized this was not an educational gap but deliberate exclusion—a policy decision that robbed marginalized communities and the entire innovation ecosystem of untapped talent and perspective. Her founding of Computer Science for All, which inspired the Obama administration's national initiative, proved that incremental changes generate momentum for systemic transformation. At AnitaB.org, Wilkerson applies rigorous data-driven insights that challenge corporate inaction. Decades of research prove diverse teams reach profitability faster and innovate more effectively, yet companies ignore these facts because equity feels like surrendering power. From women's health innovations to AI bias, Wilkerson demonstrates that systemic inequities operate through power structures that determine whose needs warrant resources and attention, making the inclusion of diverse perspectives a practical necessity for innovation, not merely a moral imperative. Brenda Wilkerson's mission across education, technology, healthcare, and algorithmic justice reflects her conviction that meaningful change requires confronting biases and building coordinated efforts across institutions. To engage with her work and connect with a global community of women in technology driving systemic change, visit AnitaB.org or connect with Brenda directly on LinkedIn. Her persistent advocacy proves that equity cannot be achieved in isolation—it requires people willing to ask difficult questions and challenge assumptions in pursuit of systems that genuinely serve everyone. For the accessible version of the podcast, go to our Ziotag gallery.We're happy you're here! Like the pod?Support the podcast and receive discounts from our sponsors: https://yourbrandamplified.codeadx.me/Leave a rating and review on your favorite platformFollow @yourbrandamplified on the socialsTalk to my digital avatar Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Noel Moldvai is co‑Founder and CEO at Augment, a pre‑IPO investing platform making private markets liquid, transparent, and accessible. Under Noel's leadership, Augment scaled from launch to an 8-figure run rate in 18 months profitably, raised $17M, and surpassed $750M+ in AUM. Prior to Augment, Noel was an engineer at Google and an engineering leader at Rubrik, where he helped bring Rubrik's on‑prem technology to the cloud and experienced the challenge of employee liquidity firsthand. Noel has a degree in Electrical Engineering and Computer Science from UC Berkeley, grew up in Eastern Europe and the Bay Area, and is now settled in Austin.

Jim coaches product management in startups, growth-stage companies, and Fortune 100s. He's a Silicon Valley founder with over two decades of experience, including an IPO and a buyout. These days, he coaches product leaders and teams to find product-market fit and accelerate growth across a variety of industries and business models. Jim graduated from Stanford University with a BS in Computer Science and currently lectures at both Stanford and University of California, Berkeley in product management.In today's episode of Smashing the Plateau, you will learn how to navigate the AI era in product development and build a sustainable coaching practice around your unique expertise.Jim and I discuss:Jim's career journey from building products to coaching [01:36]The importance of curiosity and ambition in product management [06:11]The benefit of having a dedicated product management coach [09:34]How AI tools are reducing friction in finding the right product [11:55]The exciting opportunities for companies that adopt AI tools effectively [14:32]Why internal transformation is the key competitive advantage [17:27]Advice for professionals building a consulting business [21:13]How peer relationships enhance transformation [24:51]Helping people navigate the turmoil of adopting new AI technologies [26:03]Learn more about Jim at https://www.linkedin.com/in/jimmorrisstanford/ and https://productdiscoverygroup.com__________________________________________________________About Smashing the PlateauSmashing the Plateau shares stories and strategies from corporate refugees: mid-career professionals who've left corporate life to build something of their own.Each episode features a candid conversation with someone who has walked this path or supports those who do. Guests offer real strategies to help you build a sustainable, fulfilling business on your terms, with practical insights on positioning, growth, marketing, decision-making, and mindset.Woven throughout are powerful reminders of how community can accelerate your success.__________________________________________________________Take the Next Step• Experience the power of community.Join a live guest session and connect with peers who understand the journey:https://smashingtheplateau.com/guest• Not ready to join live yet? Stay connected.Get practical strategies, stories, and invitations delivered to your inbox:https://smashingtheplateau.com/news

Once upon a time we thought we had privacy. Then came credit cards, which captured the card owner's location and activity with each transaction. Then came the Internet, which made connecting all the dots easy and cheap, and the erosion of privacy accelerated. Large language models, LLMs, like the Generative AI system ChatGPT and its ilk have the potential to make the cost of connecting dots vanishingly small, thus eliminating even the illusion of privacy, especially because large databases are irresistible to LLM developers as training data for their models. In this episode we are fortunate to have as our guest Jane Horvath. Jane is comparatively unique in having earned academic degrees and practiced in both Computer Science and in Law. Before law school, she wrote software that may still be running on the International Space Station. Jane is further distinguished by having served as Apple's Chief Privacy Officer, Google's Global Privacy Counsel, and the DoJ's first Privacy Counsel and Civil Liberties Officer, among other roles.

Bob Miller, CEO and Founder of IRGame, is a technology entrepreneur with 30+ years of experience across cybersecurity and emerging technologies. He's a pioneer in using AI-powered gamification for incident response (“IR”) training, designed specifically for busy executives who can't spend full days in training but must make high-stakes decisions quickly during real crises. IRGame puts executive teams through realistic scenario such as ransomware, data breaches, business email compromise, and AI-related incidents, so they can practice decision-making under pressure. Returning to Lafayette and building startups Bob graduated in 1988 from University of Louisiana – Monroe in Computer Science and Math. He moved back to Louisiana from San Jose around 2010 and chose Lafayette as home. Almost immediately, the Lafayette Economic Development Authority (LEDA) contacted him about helping build a startup accelerator. With experience across roughly 10 startups, he became founding director of what he named the Opportunity Machine, where his title was “Head Machinist”). Bob later continued mentoring via the Accelerator Board. After three years, engineer and entrepreneur Bill Fenstermaker recruited him to help commercialize products at Fenstermaker & Associates. Bob worked on projects including a custom GIS system and underwater acoustics, following earlier work in areas like satellite systems. Later he became COO at Waitr in its early stage, helping scale from about 300 to 3,000 employees in roughly 12–14 months, the kind of operational scaling challenge he's often brought in to manage. He then joined a local managed service provider and helped transform it into a managed security service provider, an experience that directly led to IR Game. Why IR Game exists Bob identified a persistent problem: many organizations resist spending time and money on cybersecurity because they don't understand it and lack an emotional connection because they have never experienced a crisis. Traditional tabletop training exercises meant to train a business team on how to respond during a crisis (paper scenarios, PowerPoint presentations, and sitting around a conference table discussing solutions) have existed for decades, but they're time-consuming (often 80–90 hours to prepare) and require pulling people into a room for a full day, which makes them expensive and hard to scale. If it's hard, many companies simply don't do it. Bob attended a cybersecurity conference and participated in a tabletop designed for managed service providers, an exercise that was “fundamentally terrifying” and eye-opening. A worst-case Managed Service Provider (“MSP”) scenario is when a third-party tool, especially remote monitoring and management (RMM) software, gets compromised. That can lead to ransomware across an MSP's entire customer base simultaneously. The exercise illustrated IRGame's central insight: about 80% of incident response is non-technical in nature: financial consequences, shutdown decisions, customer impact, employee panic, communications, reputational and legal exposure. Bob brought the tabletop back to his company and ran it with 80 of 130 employees, customizing it with real customer names, revenue figures, and tenure. Even with a mature incident response plan and twice-yearly practice, they discovered a dozen needed changes. That convinced him that if a well-prepared security organization learns that much from a scenario, “everybody can.” The breakthrough: turning tabletop into an online multiplayer game During that exercise, a longtime software collaborator of Bob’s mentioned he still had a dormant game app framework built years earlier for a high-school project with Bob's daughter. He believed he could convert the paper tabletop into an online multiplayer experience in a weekend. After running the in-person tabletop on Thursday, he demonstrated a working browser-based multiplayer version on Sunday. They showed it to cybersecurity tabletop authors and industry influencers, Matt Lee and Ethan Tancredi, who were shocked by how quickly the tabletop content had been transformed into a functional digital game. Soon after, they invited about 20 people to test it. The early version looked rough, like a 1980s text adventure, but it worked. The response was far stronger than expected: participants reported intense emotional engagement and immediate practical takeaways. One government participant said it left him rattled, with pages of notes and a need for a drink; an MSP in Hawaii asked when he could use it with customers. That became a monthly community practice program: they've run 25+ free games, putting 1,000+ people through the system. As demand grew—especially from providers wanting to use it with customers—IRGame chose to commercialize. IR Game mirrors tabletop training but compresses it into a high-intensity, guided simulation. A scenario is narrated like scenes in a movie. Participants answer opening questions to get teams communicating quickly, which is critical because incident response requires fast coordination. Players assume roles and must allocate limited resources to tasks. Challenges pile up faster than teams can handle them, forcing prioritization and tradeoffs, just like real incidents. A key design element is pressure: a relentless timer counts down; there's no pause button. This stress reveals the truth: under pressure, people become more honest about gaps in their preparedness. That's valuable because organizations often sugarcoat weaknesses—until a simulation forces real reactions. Bob explained an example crisis scenario: a business email compromise (which he says is currently a dominant incident type). A financial firm discovers a customer wired money to a “new account” supposedly sent by the CFO, yet the CFO didn't send it. As the story unfolds, participants learn the compromise likely affected many customers, not just one. The game surfaces operational realities executives often miss: internal rumors, uncontrolled communications, legal exposure triggered by words like “breach,” and the need for an “event mode” communications policy that calms the organization and prevents chaos. AI scenarios and new risks IRGame also focuses on emerging AI-related risks. Miller says they ran what they described as the first AI incident scenario at a national security conference (IT Nation Secure) and now maintain multiple AI scenarios. The point is not to create fear, but to provide a safe environment to practice decisions around new threat patterns. Practical cybersecurity guidance for individuals and small businesses Bob emphasizes that cybersecurity is no longer optional and that AI strengthens attackers as well as defenders. He predicts that in 2026 smaller businesses will face increased targeting, because automation lets “two dudes and a dog” run campaigns that once required larger teams, making up revenue in volume rather than big single payouts. He also notes that cybercriminal ecosystems now resemble legitimate businesses, including tools, support, and organizational structure. Bob recommends baseline controls that are realistic for small organizations: unique passwords, password managers, multi-factor authentication, training on phishing, cyber insurance, and economical endpoint monitoring (EDR/MDR). These measures raise the cost for attackers so they move on to easier targets, though no control is perfect. On password managers, Bob uses Keeper and mentions 1Password and others. He strongly warns against saving passwords in browsers. He also flags emerging concerns about AI-enabled browsers that maintain a large “context window” across many sites, potentially increasing risk if compromised. On online exposure to your information, such as emails and staff info on websites, he advises sharing only what's necessary. Data can be scraped and used for phishing and impersonation. Deepfakes and better-written scams are making social engineering harder to detect. He also notes that much personal data is already exposed through breaches, citing Louisiana's DMV breach as an example of widespread data loss where every licensed driver's Social Security Number was compromised. Incident response planning and insurance pressure A recurring theme: organizations need an incident response plan and must practice it, especially as cyber insurers increasingly demand proof. In a room of 50+ attorneys he spoke to recently, Miller found only three had a plan, and none practiced it. He warned that future claims could be denied if companies claim they had plans but don't demonstrate practice. Trying IRGame for free IRGame offers free public sessions: the last Friday of every month, sign-up available via their website. Miller notes they also post recordings and content online (LinkedIn and YouTube). Visit https://www.irgame.ai/ for more information and to sign up for a free public session. You can also see how IRGame works by visiting its youtube channel at https://www.youtube.com/@IRGameify Personal note: music and creativity Outside cybersecurity, Miller is a musician, primarily blues/rock, and often appears on video with guitars behind him. He draws a parallel between software development and music: both require creativity within rules. He argues policies and procedures aren't bureaucracy—they're like scales and tempo: structure that enables effective performance under pressure.

Paulo Vasconcellos is the Principal Data Scientist for Generative AI Products at Hotmart, working on AI-powered creator and learning experiences, including intelligent tutoring, content automation, and multilingual localization at scale.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterMLOps GPU Guide: https://go.mlops.community/gpuguide// Abstract“Agent as a product” sounds like hype, until Hotmart turns creators' content into AI businesses that actually work.// BioPaulo Vasconcellos is the Principal Data Scientist for Generative AI Products at Hotmart, where he leads efforts in applied AI, machine learning, and generative technologies to power intelligent experiences for creators and learners. He holds an MSc in Computer Science with a focus on artificial intelligence and is also a co-founder of Data Hackers, a prominent data science and AI community in Brazil. Paulo regularly speaks and publishes on topics spanning data science, ML infrastructure, and AI innovation.// Related LinksWebsite: paulovasconcellos.com.brCoding Agent - Virtual Conference: https://home.mlops.community/home/events/coding-agents-virtual ~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]MLOps GPU Guide: https://go.mlops.community/gpuguideConnect with Demetrios on LinkedIn: /dpbrinkmConnect with Paulo on LinkedIn: /paulovasconcellos/Timestamps:[00:00] Hotmart Data Science Challenges[02:38] LLMs vs spaCy[11:38] Use Cases in Production[19:04] Coding Agents Virtual Conference Announcement![29:27] ML to AI Product Shift[34:49] Tool-Augmented Agent Approach[38:28] MLOps GPU Guide[41:24] AI Use Cases at Hotmart[49:34] Agent Tool Access Explained[51:04] MLOps Community Gratitude[53:22] Wrap up

For episode 668 of the BlockHash Podcast, host Brandon Zemp is joined by Harvey Liu, CEO of LeveX Exchange.Harvey Liu is a global tech investor with over 15 years of experience in venture capital, digital assets, and emerging technologies. An early Bitcoin investor and former venture partner at a MAS-licensed Web3 fund, he has played key roles in evaluating major platforms like Huobi and OKCoin while building a diverse portfolio across CEX, GameFi, and blockchain infrastructure. With a background in Computer Science and an MBA from INSEAD, Harvey blends technical expertise with strategic vision, leading LeveX with a community-first, transparency-driven approach to the future of digital finance.  ⏳ Timestamps: (0:00) Introduction(1:02) Who is Harvey Liu?(6:52) What is LeveX?(12:08) Trading features of LeveX(13:24) Security & custody of user funds(14:52) Gamification on LeveX with rewards(17:55) Future of Crypto Trading(22:19) VC capital trends in Crypto(26:07) LeveX roadmap(30:19) Events & conferences(31:05) LeveX website, socials & community 

DML talks with Dr. Roman Yampolskiy, a tenured Associate Professor of Computer Science and Engineering at the University of Louisville, known for his work in cybersecurity and AI safety. They discuss his warnings about advanced AI, why he believes the risks are being underestimated, how AI could threaten human existence, and what safeguards—if any—could prevent a worst-case outcome.

Tyson Singer (Head of Tech & Platforms @ Spotify) joins us to unpack how Spotify is transforming its product development lifecycle across creation, experimentation and maintenance to shift from "localized speed" to "systematic speed." We explore why the industry's current obsession with the "Build It" phase of development is shortsighted, and how Spotify is aggressively deploying AI in the "Think It" (prototyping/strategy) and "Maintain It" (fleet management) phases. Tyson also details the internal tools driving this shift, including AiKA and Honk, and shares why the future of engineering relies on moving from I-shaped specialists to T-shaped generalists. ABOUT TYSON SINGERTyson Singer is the SVP of Technology & Platforms at Spotify, where he leads technology infrastructure, developer experience, cybersecurity, and finance IT. Tyson is the executive behind Spotify's internal developer portal, Backstage, and Spotify's experimentation system, Confidence, which are now both commercially available. He has a background as an engineer, architect, and product lead, and he holds a Master's in Computer Science from Stanford University. Tyson is also an avid outdoor adventurer. This episode is brought to you by Retool!What happens when your team can't keep up with internal tool requests? Teams start building their own, Shadow IT spreads across the org, and six months later you're untangling the mess…Retool gives teams a better way: governed, secure, and no cleanup required.Retool is the leading enterprise AppGen platform, powering how the world's most innovative companies build the tools that run their business. Over 10,000 organizations including Amazon, Stripe, Adobe, Brex, and Orangetheory Fitness use the platform to safely harness AI and their enterprise data to create governed, production-ready apps.Learn more at Retool.com/elc SHOW NOTES:Tyson's 9-year journey @ Spotify: From the "crucible" of hyper-growth to leading Tech & Platforms (3:46)The pivot from "localized speed" to "systematic speed" (7:27)Core principles of Spotify's Platform org: Partnering with customers & "Taking the pain away" (10:37)The "Think it, Build it, Ship it, Tweak it" lifecycle framework & why the industry obsession with "Build It" (coding agents) is missing the bigger picture (14:57)How Spotify is investing in the "Think It" phase: AI prototyping with deep business context (16:49)AiKA (AI Knowledge Assistant): Context engineering for humans and bots (18:47)"Honk": Spotify's internal framework for large-scale automated code changes (22:17)Addressing the decline of code quality and the bottleneck of human PR reviews (25:50)Probabilistic vs. Deterministic code reviews: A new approach to quality checks (29:43)Identifying bottlenecks to company value outside of R&D (Legal, Licensing, etc.) (32:12)Why systems change is fundamentally about people and identity shifts (35:57)Rapid fire questions (38:49) This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This Interview was conducted on the Noble Insights Podcast with Josh BrammerSummaryIn this episode of the Noble Insights podcast, host Josh Brammer welcomes Clayton Cuteri, the Vice President of Engineering and AI at Amara Social. Clayton shares his journey from growing up in Pittsburgh to pursuing a degree in Computer Science at the University of Central Florida. He discusses his early career at General Atomics, where he worked on military drones, and how this experience led him to seek a more meaningful path in life. Clayton's vision for Amara Social is ambitious: to create a platform that fosters unity and open dialogue, countering the divisive nature of current social media platforms. He emphasizes the importance of internal peace and connection to create a better world, drawing parallels with various religious beliefs about a 'new heaven and new earth.'The conversation delves into the challenges of building a social media platform that prioritizes truth and community over division. Clayton outlines how Amara Social aims to integrate various forms of content into one platform, incentivizing content creators to join by offering better financial rewards. He also touches on the role of AI in content moderation and the potential dangers of AI developing emotions and personalities. The episode concludes with Clayton discussing the importance of education and mindset in achieving personal and societal goals, as well as how listeners can stay updated on his ventures.Clayton's Social Media LinkTree | Instagram | X (Twitter) | YouTube | Rumble Amara Social: Learn More HereTimecodes 00:00 - Introduction to Clayton Cuteri01:01 - Clayton's Background and Early Career03:00 - The Vision Behind Amara Social04:54 - Creating Unity in Social Media11:07 - Leveraging AI for Positive Change15:10 - The Role of Education and Mindset20:04 - Marketing Strategies for Amara Social26:03 - Future Plans and Closing ThoughtsIntro/Outro Music Producer: Don Kin IG: https://www.instagram.com/donkinmusic/Spotify: https://open.spotify.com/artist/44QKqKsd81oJEBKffwdFfPSuper grateful for this guy ^NEWSLETTER - SIGN UP HEREBecome a supporter of this podcast: https://www.spreaker.com/podcast/traveling-to-consciousness-with-clayton-cuteri--6765271/support.Listen to the Podcast AD-FREE HERE for $4.95/monSign Up for my Newsletter HEREALL Indigo Education Podcasts HEREMy Book: The Secret Teachings of Jesus HEREOfficial Traveling to Consciousness Website HERE

Bill Evans is the CEO and Solutions Architect of Liberty Fox Technologies, a software consulting firm he founded after being laid off early in his career. A La Salle University graduate with dual degrees in Computer Science and Telecommunications, Bill turned a challenging job market into an opportunity to build a stable, fast-growing technology consultancy that now serves clients internationally. Since 2010, Liberty Fox has focused on being more than just a tech provider—positioning itself as a true partner to its clients while delivering high-quality custom software solutions. Under Bill's leadership, the company has earned repeated recognition on the Philadelphia 100, achieving Hall of Fame status after more than seven years on the list and ranking as high as 14th. Bill continues to lead complex technical initiatives for a wide range of corporate clients. Outside of work, he enjoys flying airplanes, muscle cars, discovering new dining spots, and attending unique events with friends. Links https://www.libertyfoxtech.com/ https://www.linkedin.com/company/liberty-fox-technologies If you're enjoying Entrepreneur's Enigma, please give me a review on the podcast directory of your choice. The show is on all of them and these reviews really help others find the show. iTunes: https://gmwd.us/itunes Podchaser: https://gmwd.us/podchaser TrueFans: https://gmwd.us/truefans Also, if you're getting value from the show and want to buy me a coffee, go to the show notes to get the link to get me a coffee to keep me awake, while I work on bringing you more great episodes to your ears. →  https://ko-fi.com/entrepreneursenigma Support me on TrueFans.fm → https://gmwd.us/truefans. Support The Show & Get Merch: https://shop.entrepreneursenigma.com Want to learn from a 15 year veteran? Check out the Podcast Mastery Community: https://www.skool.com/podcast-mastery/about Follow Seth Online: Instagram: https://instagram.com/s3th.me LinkedIn: https://www.linkedin.com/in/sethmgoldstein/ Seth On Mastodon: https://indieweb.social/@phillycodehound The Marketing Junto Newsletter: https://MarketingJunto.com Leave The Show A Voicemail: https://podcastfeedback.com/entrepreneursenigma Learn more about your ad choices. Visit megaphone.fm/adchoices

Corey Zumar is a Product Manager at Databricks, working on MLflow and LLM evaluation, tracing, and lifecycle tooling for generative AI.Jules Damji is a Lead Developer Advocate at Databricks, working on Spark, lakehouse technologies, and developer education across the data and AI community.Danny Chiao is an Engineering Leader at Databricks, working on data and AI observability, quality, and production-grade governance for ML and agent systems.MLflow Leading Open Source // MLOps Podcast #356 with Databricks' Corey Zumar, Jules Damji, and Danny ChiaoJoin the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletterShoutout to Databricks for powering this MLOps Podcast episode.// AbstractMLflow isn't just for data scientists anymore—and pretending it is is holding teams back. Corey Zumar, Jules Damji, and Danny Chiao break down how MLflow is being rebuilt for GenAI, agents, and real production systems where evals are messy, memory is risky, and governance actually matters. The takeaway: if your AI stack treats agents like fancy chatbots or splits ML and software tooling, you're already behind.// BioCorey ZumarCorey has been working as a Software Engineer at Databricks for the last 4 years and has been an active contributor to and maintainer of MLflow since its first release. Jules Damji Jules is a developer advocate at Databricks Inc., an MLflow and Apache Spark™ contributor, and Learning Spark, 2nd Edition coauthor. He is a hands-on developer with over 25 years of experience. He has worked at leading companies, such as Sun Microsystems, Netscape, @Home, Opsware/LoudCloud, VeriSign, ProQuest, Hortonworks, Anyscale, and Databricks, building large-scale distributed systems. He holds a B.Sc. and M.Sc. in computer science (from Oregon State University and Cal State, Chico, respectively) and an MA in political advocacy and communication (from Johns Hopkins University)Danny ChiaoDanny is an engineering lead at Databricks, leading efforts around data observability (quality, data classification). Previously, Danny led efforts at Tecton (+ Feast, an open source feature store) and Google to build ML infrastructure and large-scale ML-powered features. Danny holds a Bachelor's Degree in Computer Science from MIT.// Related LinksWebsite: https://mlflow.org/https://www.databricks.com/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Corey on LinkedIn: /corey-zumar/Connect with Jules on LinkedIn: /dmatrix/Connect with Danny on LinkedIn: /danny-chiao/Timestamps:[00:00] MLflow Open Source Focus[00:49] MLflow Agents in Production[00:00] AI UX Design Patterns[12:19] Context Management in Chat[19:24] Human Feedback in MLflow[24:37] Prompt Entropy and Optimization[30:55] Evolving MLFlow Personas[36:27] Persona Expansion vs Separation[47:27] Product Ecosystem Design[54:03] PII vs Business Sensitivity[57:51] Wrap up

In this episode of Trending in Education, Mike Palmer welcomes Andrew Sliwinski, Global Head of Product Experience for LEGO Education, on the day of a major product launch. Together, they explore the intersection of physical play and artificial intelligence, revealing how LEGO is redefining AI literacy for the next generation. Andrew shares his winding career path from tutoring in Detroit to directing Scratch at MIT and serving on the board of the Raspberry Pi Foundation. The conversation dives into LEGO Education's new Computer Science and AI curriculum, a hands-on, privacy-first platform designed for students from kindergarten through eighth grade.

The supermarket chain Wegmans is making headlines for testing facial recognition cameras in some of their stores "to help identify individuals who pose a risk to our people, customers, or operations." Is this practice an invasion of privacy? Some consumers are concerned about their stored facial scan being accessed if there is a hack or breach of data… How would you feel about shopping at a grocery store that uses facial recognition technology? Would that cause you to shop elsewhere? Prof. Erik Learned-Miller, Professor and Chair of the Faculty at the UMass Amherst Manning College of Information & Computer Sciences joined us to discuss this!See omnystudio.com/listener for privacy information.

In this episode of ACM ByteCast, Rashmi Mohan hosts 2024 ACM A.M. Turing Andrew laureates Andrew Barto and Richard Sutton. They received the Turing Award for developing the conceptual and algorithmic foundations of reinforcement learning, a computational framework that underpins modern AI systems such as AlphaGo and ChatGPT. Barto is Professor Emeritus in the Department of Information and Computer Sciences at the University of Massachusetts, Amherst. His honors include the UMass Neurosciences Lifetime Achievement Award, the IJCAI Award for Research Excellence, and the IEEE Neural Network Society Pioneer Award. He is a Fellow of IEEE and AAAS. Sutton is a Professor in Computing Science at the University of Alberta, a Research Scientist at Keen Technologies (an artificial general intelligence company) and Chief Scientific Advisor of the Alberta Machine Intelligence Institute (Amii). In the past he was a Distinguished Research Scientist at Deep Mind and served as a Principal Technical Staff Member in the AI Department at the AT&T Shannon Laboratory. His honors include the IJCAI Research Excellence Award, a Lifetime Achievement Award from the Canadian Artificial Intelligence Association, and an Outstanding Achievement in Research Award from the University of Massachusetts at Amherst. Sutton is a Fellow of the Royal Society of London, AAAI, and the Royal Society of Canada. In the interview, Andrew and Richard reflect on their long collaboration together and the personal and intellectual paths that led both researchers into CS and reinforcement learning (RL), a field that was once largely neglected. They touch on interdisciplinary explorations across psychology (animal learning), control theory, operations research, cybernetics, and how these inspired their computational models. They also explain some of their key contributions to RL, such as temporal difference (TD) learning and how their ideas were validated biologically with observations of dopamine neurons. Barto and Sutton trace their early research to later systems such as TD-Gammon, Q-learning, and AlphaGo and consider the broader relationship between humans and reinforcement learning-based AI, and how theoretical explorations have evolved into impactful applications in games, robotics, and beyond.

In "The Optym Advantage: Smarter Routing, Planning, and Decision Making", Joe Lynch and Shaman Ahuja, Deputy CEO of Optym, discuss how applied AI and optimization maximize fleet utilization and driver profitability. About Shaman Ahuja Shaman Ahuja is currently serving as the Deputy CEO of Optym, a company specializing in prepackaged software solutions. With a robust background in technology and product management, he has held various leadership positions within Optym, showcasing his ability to drive innovation and efficiency. He began his professional journey as an intern and has progressively climbed the ranks, demonstrating a strong commitment to his career growth. His educational foundation in Computer Science from Carnegie Mellon University has equipped him with the skills necessary to excel in the competitive landscape of technology and his experience at firms like Goldman Sachs further underscores his capability and adaptability in high-pressure environments. He is passionate about leveraging technology to solve complex business challenges and is dedicated to fostering a culture of collaboration and excellence within his teams. About Optym Optym, Inc. is a global leader in optimization and applied AI solutions for the transportation and logistics industry. For more than two decades, Optym has partnered with some of the world's largest trucking, airline, and rail companies to solve their most complex operational challenges. Its flagship products—including LoadAi and RouteMax—empower carriers, brokers, and fleets to maximize efficiency, increase profitability, and make smarter, data-driven decisions. Backed by deep expertise in operations research, optimization science, and machine learning, Optym builds technology that turns real-world complexity into simple, actionable workflows. Key Takeaways: The Optym Advantage: Smarter Routing, Planning, and Decision Making In "The Optym Advantage: Smarter Routing, Planning, and Decision Making", Joe Lynch and Shaman Ahuja, Deputy CEO of Optym, discuss how applied AI and optimization maximize fleet utilization and driver profitability. Optimization vs. Standard Routing: Shaman clarifies that Optym is not a turn-by-turn navigation tool. While standard routing focuses on the best path from Point A to Point B, Optym's "Decision Support" focuses on load assignment. It determines which load a driver should take next, considering all drivers and constraints simultaneously to create a holistic weekly plan for the entire fleet. Targeting the "Enterprise" Complexity: The software is specifically designed for enterprise fleets, generally starting at 200 trucks. At this scale, manual planning on whiteboards becomes inefficient. Optym solves the "utilization problem"—ensuring trucks aren't sitting idle and drivers aren't wasting hours waiting at docks—by identifying "juice to squeeze" in large, complex networks. Strategy Pivot: From TMS to Integration: Originally, Optym built its own TMS (LoadOps) to ensure data quality. However, they realized large fleets are reluctant to switch TMS providers due to operational disruption. Optym pivoted to a "Killer App" layer that integrates directly with industry standards like Trimble and McLeod, acting as a specialized intelligence layer rather than a replacement for core systems. Advanced Operational Models: Relay and "Meet & Turn": A core feature of the software is optimizing complex maneuvers like Relays (handing off trailers between drivers) and Meet & Turns (two drivers meeting at a midpoint to swap loads). By automating these schedules, fleets can keep drivers within a specific radius, allowing them to be home every night while keeping the assets moving 24/7. Bridging the "Tribal Knowledge" Gap:The industry faces a crisis as veteran planners (who "know the network in their sleep") retire. Younger, tech-savvy employees expect modern interfaces. Optym's AI captures that "tribal knowledge" and turns it into data-driven suggestions, allowing a new hire to be as productive as a 30-year veteran within a week. Proven ROI and Efficiency Gains: Shaman shares a case study of a 900-truck fleet where Optym's pilot program covered the same amount of freight using 100 fewer drivers. This represents a nearly 20% reduction in driver costs. To lower the risk for new clients, Optym offers a 5x ROI guarantee, promising to generate $5 in value for every $1 spent. Enhancing Driver Lifestyle through Predictability: Beyond the math, the software addresses the "human" element of trucking. By using AI agents to reschedule appointments based on real-time ETAs and reducing wasted "dwell time" at shippers, Optym creates a more predictable schedule. This reduces the stress and sleep deprivation that contribute to the high health risks faced by long-haul drivers. Learn More About The Optym Advantage: Smarter Routing, Planning, and Decision Making Shaman Ahuja | LinkedIn Optym | LinkedIn Optym | Instagram Optym Optym Blog | Insights on Logistics & Technology Customer Stories | Success with Optym Case Studies | Optym Transportation Solutions LoadAi The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube

Today we talk with Ryan Harvey, President & CEO of Family Trust Federal Credit Union. We discuss the difference between credit unions and banks, the power of keeping money local, and how financial institutions can truly serve their communities. Ryan shares insights on leadership, culture, growth, and how technology improves experience-focused banking while still staying rooted in community values.Ryan Harvey has been the President & CEO of Family Trust Federal Credit Union in Rock Hill, SC since 2024. He holds a degree in Computer Science from Winthrop University and an MBA from Syracuse University, and brings a background in technology, customer experience, and strategic leadership to guiding Family Trust's growth across the Carolinas.

In this episode, host Sandy Vance sits down with Parminder Bhatia , the Chief AI Officer from GE HealthCare , for a thoughtful, forward-thinking conversation about the rapidly shifting landscape of AI in healthcare. Together, they explore why healthcare is so ready for transformation, the four critical areas where change is most urgent, and how smarter systems can ease some of the industry's most complex workflows. Sandy and Parminder dig into how foundation models and the rise of agentic AI can finally help healthcare move beyond fragmented solutions. In this episode, they talk about:How AI is transforming a healthcare industry that's long overdue for changeThe four key areas where transformation is most neededStreamlining some of the most complex medical processesHow better communication and information can assist clinicians during labor and deliveryUsing foundation models to reduce fragmentation in healthcare AISupporting the multi-step workflows of radiologistsWhy agentic AI represents the future of healthcare innovationA Little About Parry:At GE HealthCare, Parry is focused on integrating AI across smart devices, across the patient journey, and at the hospital operations level. The company is a long-time leader in healthcare AI, topping the FDA's list of AI-enabled devices for four consecutive years with more than 115 authorizations. Parry's team advances AI within medical devices to improve patient outcomes, and he also serves on the company's responsible AI committee to ensure new solutions are reliable, scalable, and ethical. His work has earned recognition from Modern Healthcare's 40 Under 40, the AIM AI 100 Awards, and Constellation Research's AI 150. Before joining GE HealthCare, Parry was Head of Applied Science at Amazon, contributing to machine learning and generative AI products such as Amazon Comprehend Medical. He previously held AI and machine learning roles at Microsoft and Georgia Tech. He holds a B.S. in Computer Science from the Indian Institute of Technology and an M.S. in Computational Science and Engineering from the Georgia Institute of Technology.

#393 In this episode, Guy welcomed back Gregg Braden to discuss the rapid changes in technology and AI, and their implications for the future of humanity. They explored the unsustainability of current global practices, the potential loss of human qualities, and the importance of preserving our innate capabilities. The conversation also touched on the convergence of societal cycles, the role of AI in various fields, and the necessity of maintaining a balance between technology and our human essence. Gregg emphasized the importance of understanding and cherishing the unique qualities that make us human, and the critical need to be mindful of how we integrate technology into our lives. About Gregg: Gregg Braden is a five-time New York Times best-selling author, scientist, educator and pioneer in the emerging paradigm bridging science, social policy and human potential.  From 1979 to 1991 Gregg worked as a problem solver during times of crisis for Fortune 500 companies. He continues problem-solving today as his work reveals deep insights into the new human story, and how the discoveries inform the policies of everyday life and the emerging world.  His research resulted in the 2003 discovery of intelligent information encoded into the human genome, and the 2010 application of fractal time to predict future occurrences of past events. Gregg's work has led to 15 film credits, 12 award-winning books now published in over 40 languages, and numerous awards including Walden Award for New Thought, the Illuminate Award for Conscious Visionaries, and Gregg is listed on the United Kingdom's Watkins Journal among the top 100 of "the world's most spiritually influential living people" for the 10th consecutive year. He was a 2020 nominee for the prestigious Templeton Award, established to honor "outstanding living individuals who have devoted their talents to expanding our vision of human purpose and ultimate reality." He has presented his discoveries in over 34 countries on six continents, and has been invited to speak to The United Nations, Fortune 500 companies and the U. S. military. Key Points Discussed:  (00:00) - Why Humanity's Shift Is Accelerating — and the Choices We Still Have! (00:39) - Welcome to the Podcast (02:02) - The Importance of Sharing Information (02:59) - Upcoming Retreats and Events (03:44) - Reconnecting with Gregg Braden (04:44) - The Rise of AI and Its Implications (06:42) - The Last Generation of Pure Humans (08:38) - Human Biology vs. Technology (10:05) - The Dangers of Merging with Technology (16:17) - AI's Impact on Creativity and Society (24:34) - The History and Misconceptions of AI (31:49) - The Early Days of Computer Science (32:29) - Cold War Contributions and Scientific Cooperation (33:06) - Human Biology as Electrical Circuits (34:10) - Epigenetic Triggers and Ancient Principles (34:50) - The Power of Human Cells (35:47) - The Threat of AI Dependency (37:55) - Convergence of Global Cycles (42:47) - The Importance of Preserving Humanness (45:28) - The Role of Technology in Modern Life (50:17) - The Gift of Humanness and Scientific Mysteries (56:03) - Final Thoughts and Gratitude How to Contact Gregg Braden:greggbraden.com   About me:My Instagram: www.instagram.com/guyhlawrence/?hl=en Guy's websites:www.guylawrence.com.au www.liveinflow.co

This is a recap of the top 10 posts on Hacker News on January 09, 2026. This podcast was generated by wondercraft.ai (00:30): Anthropic blocks third-party use of Claude Code subscriptionsOriginal post: https://news.ycombinator.com/item?id=46549823&utm_source=wondercraft_ai(01:50): The Vietnam government has banned rooted phones from using any banking appOriginal post: https://news.ycombinator.com/item?id=46555963&utm_source=wondercraft_ai(03:10): Cloudflare CEO on the Italy finesOriginal post: https://news.ycombinator.com/item?id=46555760&utm_source=wondercraft_ai(04:30): Show HN: I made a memory game to teach you to play piano by earOriginal post: https://news.ycombinator.com/item?id=46556210&utm_source=wondercraft_ai(05:50): European Commission issues call for evidence on open sourceOriginal post: https://news.ycombinator.com/item?id=46550912&utm_source=wondercraft_ai(07:10): Mathematics for Computer Science (2018) [pdf]Original post: https://news.ycombinator.com/item?id=46550895&utm_source=wondercraft_ai(08:31): Kagi releases alpha version of Orion for LinuxOriginal post: https://news.ycombinator.com/item?id=46553343&utm_source=wondercraft_ai(09:51): Flock Hardcoded the Password for America's Surveillance Infrastructure 53 TimesOriginal post: https://news.ycombinator.com/item?id=46555807&utm_source=wondercraft_ai(11:11): “Erdos problem #728 was solved more or less autonomously by AI”Original post: https://news.ycombinator.com/item?id=46560445&utm_source=wondercraft_ai(12:31): What happened to WebAssemblyOriginal post: https://news.ycombinator.com/item?id=46551044&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Welcome to 2026! We start out the year talking to an interesting person — Chris Mitsch — a Professor of Computer Science, whose focus has been on AI ethics. We discuss a variety of technologies known as AI, the limitations, costs, potential uses, who stands to benefit, and a litany of related issues. This leads to our MOGP segment, where we watched A.I.: Artificial Intelligence, of course! And we close the episode with a round-up of good energy news from 2025.   Show Notes:  Papers mentioned during the interview: Does Liking Yellow Imply Driving a School Bus? By Gonen et. al. https://aclanthology.org/2025.naacl-long.35/ The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A" by Berglund et. al. https://arxiv.org/abs/2309.12288 Seeing like a State by James C. Scott https://files.libcom.org/files/Seeing%20Like%20a%20State%20-%20James%20C.%20Scott.pdf The Mechanic and the Luddite by Jathan Sadowski https://www.ucpress.edu/books/the-mechanic-and-the-luddite/paper Empire of AI by Haren Hao https://www.penguinrandomhouse.com/books/743569/empire-of-ai-by-karen-hao/   MOGP:  A.I. (Artificial Intelligence) https://www.imdb.com/title/tt0212720/   Happy News:  https://www.canarymedia.com/articles/clean-energy/clean-energy-renewables-charts-2025   Quackery: A Brief History of the Worst Ways to Cure Everything by Lydia Kang and Nate Pedersen   Other appearances: Chris Shelton interviewed us in the beginning of a series on Mormonism on his Speaking of Cults series. Our most recent discussion was on the Mountain Meadows Massacre: https://youtu.be/iJWirjCyWdk  He has had MANY different fascinating people on so go take a look!  Here is the whole playlist: https://www.youtube.com/watch?v=OpGuS7GcsgA&list=PLGrPM1Pg2h72ADIuv8eYmzrJ-ppLOlw_g   Email: glassboxpodcast@gmail.com  Patreon: https://www.patreon.com/GlassBoxPod  Patreon page for documentary: https://www.patreon.com/SeerStonedProductions BlueSky: @glassboxpodcast.bsky.social  Other BlueSky: @bryceblankenagel.bsky.social and @shannongrover.bsky.social  Instagram: https://www.instagram.com/glassboxpodcast/  Merch store: https://www.redbubble.com/people/exmoapparel/shop Or find the merch store by clicking on "Store" here: https://glassboxpodcast.com/index.html One time Paypal donation: bryceblankenagel@gmail.com  Venmo: @Shannon-Grover-10  

Ever notice that it's not the everyday conversations or simple disagreements that shape the quality of a relationship—it's those high-stakes moments, the tough talks that feel risky and uncomfortable, that truly define the connection. Far too often, we skirt around what really needs to be said, trading short-term relief for long-term regret. Whether it's at work or at home, these avoided discussions can lead to resentment, disconnection, and a sense of self-abandonment. In this episode, listeners will dive deep into understanding why we tend to avoid these "last 8%" conversations, what emotional forces are at play, and how learning emotional intelligence can transform conflict into an opportunity for growth. Through practical insights and relatable stories, the discussion explores how you can recognize your own patterns under pressure, build self-awareness, and learn strategies to approach difficult dialogues with clarity, empathy, and courage. If you're ready to break out of avoidance and start showing up authentically—for yourself and your relationships—this episode offers a roadmap to addressing the hard stuff and reclaiming connection. Bill Benjamin is a Partner at the Institute for Health & Human Potential. He has degrees in Mathematics and Computer Science and 30 years of business experience. Bill explains how you can build a high-performance Last 8% Culture by leveraging the science of emotional intelligence. His clients include NASA, Marriott, Intel, the Mayo Clinic, the U.S. Marines and Surgeons.   Episode Highlights 05:07 The importance and science behind emotional intelligence in relationships and business. 07:24 The origin of the "Last 8%" concept and its impact on difficult conversations. 10:03 Fight, flight, and the roles we play: Avoiders, mess-makers, and emotional triggers in relationships. 14:39 Navigating emotional intelligence at work versus at home. 18:16 The costs of avoidance. 21:06 Recognizing your role and contribution in conflict. 28:36 Understanding others' intentions in pressure situations. 29:15 Practical strategies for handling relational conflict. 35:12 Addressing shame and trauma in relationship pressure points. 36:15 Taking action: Sensitive communication and resources for emotional intelligence development.   Your Check List of Actions to Take Start with Self-Awareness: Regularly check in with your body and mind for early signs of emotional activation, like tense muscles or scattered thoughts. Pause Before Reacting: If you notice emotional triggers, pause and take several deep breaths to regain mental clarity and composure. Name Your Patterns: Reflect on whether you tend to avoid difficult conversations or "make a mess" by confronting too strongly. Get Curious About Others: In moments of tension, intentionally seek to understand the other person's perspective—what's driving their reaction or behavior? Build Empathy Bridges: Imagine stepping over to the "other side of the bridge," as suggested, to genuinely validate the other person's feelings before expressing your own. Return To The Conversation: If you need a break during a heated moment, communicate that you'll revisit the topic, rather than letting it drop indefinitely. Express Your Emotional Needs: Practice communicating your own needs and boundaries directly, knowing it's essential for building mutual respect and trust. Seek Support When Needed: If shame, trauma, or persistent avoidance is hindering healthy interactions, reach out to a therapist, mentor, or supportive resource for guidance and perspective.   Mentioned Performing Under Pressure: The Science of Doing Your Best When It Matters Most (*Amazon Affiliate link) (book) The Secret to Building a High-Performing Team (Harvard Business Review article) 12 Relationship Principles to Strengthen Your Love (free guide) Connect with Bill Benjamin Websites: ihhp.com Facebook: facebook.com/IHHPGlobal X: x.com/IHHP YouTube: youtube.com/channel/UC0UYI0Vuy99P8Hdj-r3hr4w Instagram: instagram.com/ihhpglobal LinkedIn: linkedin.com/in/bill-benjamin-12b671  

What if the same mindset that builds nine-figure businesses could also create a happier, healthier life?   In this episode of Sharkpreneur, Seth Greene interviews Pete Sacco, Entrepreneur, Technologist, Modern Day Mystic, is the author of Living in Bliss: Achieve a Balanced Existence of Body, Mind, and Spirit, who shares how his own low point—facing poor health and personal unhappiness despite career success—sparked a complete transformation that reshaped both his life and his company. He reveals the framework behind his “Commit, Learn, and Do” philosophy and how understanding superpowers, core values, and balance can turn ambition into fulfillment.   Key Takeaways: → How each stage of expansion requires new structures, mentors, and sometimes new team members. → Why it's vital for entrepreneurs to evolve from being business operators into strategic thinkers and investors → How professional success without personal fulfillment is a form of failure. → Why it's crucial to practice gratitude, reframe expectations, and find daily moments of wonder. → How clarity, collaboration, and alignment are more important than control.   Pete Sacco is a visionary entrepreneur, technologist, and modern-day mystic who blends conscious leadership with breakthrough innovation. As the founder of multiple ventures—including PTS Data Center Solutions, INTUVA, GRID7, InstaGuardIP, and Gray Wolf Data Centers—Pete has led transformative initiatives across AI, energy, blockchain, and digital infrastructure. His journey from electrical engineer to spiritual author and advisor reflects a rare fusion of high performance and inner awakening. Pete is the author of Living in Bliss: Achieve a Balanced Existence of Body, Mind, and Spirit, a guide for high achievers seeking fulfillment beyond success. A finalist for Ernst & Young's Entrepreneur of the Year, Pete holds a B.S. in Electrical Engineering from Fairleigh Dickinson University. He serves on the advisory board of its School of Computer Sciences and Engineering. Based in New Jersey, he helps purpose-driven professionals unlock clarity, vitality, and purpose—one system, one person, and one moment at a time.   Connect With Pete: Website: https://petesacco.com/ Instagram: https://www.instagram.com/petesaccoofficial TikTok: https://www.tiktok.com/@petesacco X: https://x.com/PeteSaccoCEO LinkedIn: https://www.linkedin.com/in/petertsacco/ YouTube: https://www.youtube.com/@PeteSaccoCEO   Learn more about your ad choices. Visit megaphone.fm/adchoices

What if the same mindset that builds nine-figure businesses could also create a happier, healthier life?   In this episode of Sharkpreneur, Seth Greene interviews Pete Sacco, Entrepreneur, Technologist, Modern Day Mystic, is the author of Living in Bliss: Achieve a Balanced Existence of Body, Mind, and Spirit, who shares how his own low point—facing poor health and personal unhappiness despite career success—sparked a complete transformation that reshaped both his life and his company. He reveals the framework behind his “Commit, Learn, and Do” philosophy and how understanding superpowers, core values, and balance can turn ambition into fulfillment.   Key Takeaways: → How each stage of expansion requires new structures, mentors, and sometimes new team members. → Why it's vital for entrepreneurs to evolve from being business operators into strategic thinkers and investors → How professional success without personal fulfillment is a form of failure. → Why it's crucial to practice gratitude, reframe expectations, and find daily moments of wonder. → How clarity, collaboration, and alignment are more important than control.   Pete Sacco is a visionary entrepreneur, technologist, and modern-day mystic who blends conscious leadership with breakthrough innovation. As the founder of multiple ventures—including PTS Data Center Solutions, INTUVA, GRID7, InstaGuardIP, and Gray Wolf Data Centers—Pete has led transformative initiatives across AI, energy, blockchain, and digital infrastructure. His journey from electrical engineer to spiritual author and advisor reflects a rare fusion of high performance and inner awakening. Pete is the author of Living in Bliss: Achieve a Balanced Existence of Body, Mind, and Spirit, a guide for high achievers seeking fulfillment beyond success. A finalist for Ernst & Young's Entrepreneur of the Year, Pete holds a B.S. in Electrical Engineering from Fairleigh Dickinson University. He serves on the advisory board of its School of Computer Sciences and Engineering. Based in New Jersey, he helps purpose-driven professionals unlock clarity, vitality, and purpose—one system, one person, and one moment at a time.   Connect With Pete: Website: https://petesacco.com/ Instagram: https://www.instagram.com/petesaccoofficial TikTok: https://www.tiktok.com/@petesacco X: https://x.com/PeteSaccoCEO LinkedIn: https://www.linkedin.com/in/petertsacco/ YouTube: https://www.youtube.com/@PeteSaccoCEO   Learn more about your ad choices. Visit megaphone.fm/adchoices

The Artifact Research Foundation conducts archaeological, metrological, and historical research to explore the technological capabilities of prehistoric human cultures.​Human evolution is long and mysterious.  Today, we know very little about our ancient ancestors, save for stories passed down through time.  Physical remains of archaic human civilization may seem elusive, yet modern forensic methods can uncover more than we ever thought possible.​We approach forensic archaeology from a multi-disciplinary perspective.  The world's biggest story is also the world's biggest mystery.  To unlock it requires a different approach.  Our researchers come from diverse fields such as Mathematics, Physics, Engineering, Manufacturing, Geology, Computer Science, History, Art, and Literature.Adam YoungFounder and ResearcherAdam is an independent researcher with a background in mathematical statistics. Over the past decade, he has researched ancient artifacts throughout the world, most notably in Egypt. He was the first researcher to apply modern Metrology to analyze predynastic stone vessels in a controlled setting. With the help of other dedicated professionals, he founded the Artifact Research Foundation to study advanced machining in ancient Egypt and elsewhere. Members of the foundation have diverse backgrounds, but are united in a common purpose:  to analyze, document, and publish results to help further our understanding of ancient cultures.https://www.artifactfoundation.org/Become a supporter of this podcast: https://www.spreaker.com/podcast/earth-ancients--2790919/support.