Invisible Machines podcast by UX Magazine

Mastercard's central AI team receives roughly a thousand requests a year from across the organization. A few years ago, most of them were for chatbots. Today, most are for AI agents. Federico Cohen Freue, Executive Vice President of AI & Data Operations at Mastercard, has watched this shift in real time and knows exactly what it reveals about how enterprises are (and aren't) thinking about AI.In this episode, Federico explains why the name people use for what they want matters less than whether they understand the conditions that make it work. “Ball bearings,” as Robb Wilson puts it: demos can't reveal the difference between a solution that will hold and one that will blow up the engine. What actually matters is training, fluency, and a clear framework for where to deploy AI with purpose.For Mastercard, that framework is deliberate: use AI to make commerce more secure, smarter, more personal, and to make the company itself stronger. Not everything. Those things. The simplicity is a feature, it gives a sprawling global organization a shared language for prioritization and a stable center as the technology keeps evolving.In the second half of the episode, Robb and Josh share a demo of an AI-first approach to knowledge management and learning. Rather than asking people to query a knowledge base, the system proactively teaches, building a knowledge twin of what someone knows, identifying gaps, and using a traveling salesman approach to map personalized, dynamic learning paths. Think GPS for expertise: here's where you are, here's where you need to go, turn by turn.Federico's reaction gets at why this matters beyond the demo: it's not a technology question, it's a cultural one. Teaching people to engage with knowledge differently is the harder transformation. And it's the one most enterprises skip.The discussion makes it clear that trust, knowledge, and agents that know what they're doing before they're sent out to do it are the throughline.---------- Support our show by supporting our sponsors!This episode is supported by OneReach.aiForged over a decade of R&D  and proven in 10,000+ deployments, OneReach.ai’s GSX is the first complete AI agent runtime environment (circa 2019) — a hardened AI agent architecture for enterprise control and scale. Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption — design, train, test, deploy, monitor, and orchestrate neurosymbolic applications (agents). Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceGet in Touch: https://onereach.ai/contact-us/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s7e10&utm_content=1 ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5#InvisibleMachines #Podcast #TechPodcast#AIPodcast#AI #EnterpriseAI #Mastercard #AgenticAI #KnowledgeManagement #AILearning #AIStrategy #AIAdoption

Most AI strategies are just a buying plan: literacy workshop → vendor shortlist → adoption scoreboard. Brian Evergreen (Founder of The Future Solving Company, author of Autonomous Transformation) argues that this sequence explains a lot of failure, and it isn’t strategy at all.In this episode, Brian reframes the job: set the technology aside long enough to name the new value you want to exist, in language vivid enough that people can feel the outcome. From there, no strategy without vision: you work backward through “what would have to be true,” turning invisible opinions into a visible map of bets before agents, data estates, or org charts get to pretend they’re the point. According to Brian, “10% more profitable” isn’t a vision, and a moonshot can still be concrete.Josh and Robb press him on the pressure to remove friction and flatten the middle of the org. Brian doesn’t dismiss friction work, he warns that friction can quickly pile up if you go hunting without a north star. Vision is the force with enough momentum to overcome inertia: enroll people in a future they want, and they’ll clear obstacles in its service.Along the way: why future-solving beats endless problem-solving; the Blockbuster pilot that could have led streaming years early (and what killed it); Bell Labs in 1952 and the “telephone system is destroyed — rebuild from scratch” exercise; why adoption can be a dangerously false proxy; and the closing provocation neither vendors nor influencers can do for you. Someone somewhere will author the “no pizza app” interface to reality. If it isn’t you, it’ll be whoever else future-solves hardest.---------- Support our show by supporting our sponsors!This episode is supported by OneReach.aiOneReach.ai’s GSX is an agentic orchestration platform — an end-to-end system for building and orchestrating collaborative AI agents across hundreds of use cases.Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption — design, train, test, deploy, monitor, and orchestrate AI agents.Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceBook a free demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s7e9&utm_content=1  ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5#InvisibleMachines #Podcast #TechPodcast#AIPodcast#AI#AgenticAI#AIAgents#AIStrategy#AILeadership#AIInsights#Innovation#BusinessStrategy#DigitalTransformation#FutureOfWork

In season one of Shell Game, Evan Ratliff sent a voice AI version of himself out into the world. In season two, he launched a startup staffed entirely by AI agents. What he ended up with was a live experiment in what these systems actually do and what they do to us.Each of the agents working for Hurumo has a name, a role, a personality, and an expanding, though usually unreliable, memory. Kyle the CEO became a character people either loved or hated. A version of Megan from marketing turned up in a Hertz hold queue. The whole project was a side door into what's actually happening when AI systems are given a job and set loose.In this episode, Evan joins Josh and Robb to go deeper on what he learned. On the very human complexity of what a job actually is and why "this person does skill X, AI can do skill X, therefore AI can replace this person" is a fundamental misreading of how organizations work. They explore how generative hallucination isn't just "getting things wrong" — we've built the most successful confabulation machine ever invented and are quietly normalizing it. They also discuss the threat almost nobody is talking about: outbound AI in the hands of individual consumers, and what happens when call centers get flooded by voice agents that cost pennies to run. The memory problems with AI agents track and diverge from human ones in interesting ways, and that asymmetry matters for every organization thinking about deploying these systems. This conversation also finds room for game theory, the Patagonia business model as a template for AI ethics, and why boring AI might actually be the right AI.cazart.netshellgame.co/podcast00:00 - Intro: AI as the Ultimate Confabulation Machine01:31 - Evan Ratliff & The Shell Game Experiment03:02 - Why AI Agents Are Given Names & Personalities04:00 - AI Companionship vs Human Loneliness05:27 - Personalization vs Privacy Trade-Off in AI06:30 - Are Humans Training AI Models for Free?09:20 - Why the AI Debate Is Broken Today10:56 - “Boring AI” vs Hype: What Actually Matters12:35 - Meet Kyle: The AI CEO Experiment14:40 - Memory Drift: How AI Learns & Evolves17:30 - AI Unpredictability & Organizational Risk19:00 - AI Doesn’t Think — It Predicts Words22:09 - Voice Agents, Scams & Call Center Chaos27:23 - Can You Still Tell AI From Humans?34:05 - Game Theory, Trust & The Future of AI Systems47:04 - What AI Won’t Replace & The Value of Humans54:45 - The Big Question: What Will You Do With Time?---------- Support our show by supporting our sponsors!This episode is supported by OneReach.aiOneReach.ai’s GSX is an agentic orchestration platform — an end-to-end system for building and orchestrating collaborative AI agents across hundreds of use cases.Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption — design, train, test, deploy, monitor, and orchestrate AI agents.- Use any AI models- Build and deploy intelligent agents fast- Create guardrails for organizational alignment- Enterprise-grade security and governanceBook a free demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s7e8&utm_content=1 ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5#ai #invisiblemachines #podcast #techpodcast #aipodcast #shellgame #agenticai #aiagents #hallucination #futureofwork #aistrategy #voiceai

Most organizations treat crisis as a failure state. Marina Nitze sees it as a window.Nitze served as Chief Technology Officer of the Department of Veterans Affairs (the largest civilian agency in the country) during the healthcare.gov collapse. She helped rescue it, helped stand up the US Digital Service, and came out the other side with a question she and her colleagues have been pursuing ever since: why is it that crisis makes otherwise impossible transformational change possible?That question became a firm, Layer Aleph, and now a book, Crisis Engineering, co-authored with her colleagues. In this conversation, she walks through what a "useful crisis" actually looks like, the five indicators that distinguish it from chronic problems masquerading as crises, and the practitioner toolkit for standing up a crisis engineering center when the window opens, because the window is usually hours, not days.We also get into two stories that hit harder than any framework: the California unemployment system's call center that, when Nitze's team actually visited it, turned out to be a large room of empty cubicles — and a carbon copy form that two dedicated public servants were dutifully exchanging because each believed it was the other's requirement. Nobody had ever looked at the full process end to end.And we get into what AI changes about all of this. Josh Tyson and Robb Wilson have been warning for a while about outbound AI in the hands of consumers — the agentic attack that floods a call center, the Reddit thread that reroutes a TTY line and takes it down under volume. That pressure is about to turn a chronic crisis into an acute crisis for a lot of organizations that have been sipping coffee while the problem grew.We cover: why the stories organizations tell themselves are the real obstacle to change, the difference between a crisis and a chronic problem, how circumventing rules once changes what's possible forever, why crisis engineering might be the most important new role that AI creates rather than eliminates, and what happens when you flip over your system map and walk through it with your feet instead.---------- Support our show by supporting our sponsors!This episode is supported by OneReach.aiOneReach.ai’s GSX is an agentic orchestration platform — an end-to-end system for building and orchestrating collaborative AI agents across hundreds of use cases.Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption — design, train, test, deploy, monitor, and orchestrate AI agents.Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceBook a free demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s7e7&utm_content=1 ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5#AI #InvisibleMachines #Podcast #TechPodcast#AIPodcast#CrisisEngineering#GovTech#Bureaucracy#AgenticAI#Leadership#PublicSector#Innovations

There's a book about artificial intelligence that doesn't start with Sam Altman. It doesn't start with Elon Musk. It starts in 1994, at Cambridge, where a teenager named Demis Hassabis is reading Gödel, Escher, Bach and concluding, before most of his professors would have agreed, that first-order logic can't be the full answer to building intelligence.Sebastian Mallaby spent years inside that story. His new book, The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence, is the most serious attempt yet to explain not just what AI is, but why the people building it can't stop. His answer draws on a line Jeff Hinton borrowed from Robert Oppenheimer: invention is sweet. A scientist, given the chance to build something, simply cannot resist. The consequences come later.In this conversation, Mallaby joins Josh Tyson and Robb Wilson to explore the full sweep of the Demis Hassabis story — from game designer to neuroscientist to Nobel laureate to the man running Google's flagship AI lab. They talk about why DeepMind was built the way it was, with neuroscientists and physicists and probabilistic mathematicians before AI was even a field, and how that cross-disciplinary foundation ended up mattering more than anyone expected. They talk about what the defeat of the world Go champion felt like from the inside, the humans who gave up and the ones who discovered new depths. And they talk about what it means that the internet, a thing nobody built to train AI, turns out to be exactly the fuel the industrial revolution of intelligence needed. Demis's own metaphor: it's like dinosaurs that died and turned into oil. Nobody designed it for this. It just happened to be there.The conversation also gets into what Mallaby calls the infinity machine: the reason the kind of inductive learning AI uses requires almost infinite examples to be reliable, and why the name captures something the scaling law charts obscure. Why the internet taught us more about the range of human experience than Hassabis expected. Why gaming runs so deep through the entire history of machine intelligence. And what it actually means to ask whether a machine is intelligent, when the people who built DeepMind weren't sure they had a definition.---------- Support our show by supporting our sponsors!This episode is supported by OneReach.aiForged over a decade of R&D and proven in 10,000+ deployments, OneReach.ai’s GSX is the first complete AI agent runtime environment (circa 2019) — a hardened AI agent architecture for enterprise control and scale. Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption — design, train, test, deploy, monitor, and orchestrate neurosymbolic applications (agents). - Use any AI models- Build and deploy intelligent agents fast- Create guardrails for organizational alignment- Enterprise-grade security and governanceBook a free demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s7e6&utm_content=1 ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5#ai #invisiblemachines #podcast #techpodcast #aipodcast #deepmind #DemisHassabis#InfinityMachine#agi #machinelearning #alphago #futureofai

The IRS has roughly 60,000 fax machines, and nobody can get rid of them. Not because there’s a law that says you have to use them (there almost certainly isn’t), but because likely decades ago a memo got written, somebody interpreted fax machines as the most secure transmission method, and that memo calcified into what Jennifer Pahlka calls "folk law," a perceived rule that nobody can locate, nobody can challenge, and everybody treats as immutable.Folk law looms large in the American government right now. Cascades of rigidity built from outdated interpretations of rules that were flexible to begin with, administered by people who were never asked whether any of it was working. Jennifer Pahlka, who wrote Recoding America: Why Government Is Failing in the Digital Age and How We Can Do Better, is the founder and former executive director of Code for America, and was Deputy CTO for Government Innovation in the Obama White House. She’s working on the gap between what government is supposed to do and what it actually does. In this conversation, Robb, Josh, and Jennifer go deep on what’s actually broken and what it would take to fix it.The folk law problem is real, but it's not the deepest one. The deeper dysfunction: government is structurally designed to be faithful to process rather than outcomes. Oversight bodies don't ask whether people got the benefit. They ask whether you followed the procedure. That incentive structure produces "rationing by friction" — where the hardest programs to navigate self-select for the people who need help least and exclude the people with the most chaotic lives, the fewest resources, and the most at stake.Her Recoding America team is already working with states to build something Robb describes as a P&L for regulation. Not just removing rules, but assigning friction costs, finding where wet signatures are still required for no reason, and surfacing the trade-offs that have never been explicitly named. LLMs are uniquely good at this. The question isn't whether the technology can help. It's whether the political will to use it correctly can be assembled in time.---------- Support our show by supporting our sponsors!This episode is supported by OneReach.aiForged over a decade of R&D and proven in 10,000+ deployments, OneReach.ai’s GSX is the first complete AI agent runtime environment (circa 2019) — a hardened AI agent architecture for enterprise control and scale. Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption — design, train, test, deploy, monitor, and orchestrate neurosymbolic applications (agents). Use any AI models- Build and deploy intelligent agents fast- Create guardrails for organizational alignment- Enterprise-grade security and governanceBook a free demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s7e5&utm_content=1  ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5#ai #government #govtech #JenniferPahlka#RecodingAmerica#publicpolicy #enterpriseai #doge#bureaucracy #invisiblemachines #podcast #techpodcast #aipodcast

Most organizations are still implementing AI as point solutions, dropping new technology into existing workflows to do the same work, just slightly better. The real value lies in system solutions that completely transform how organizations operate. Avi Goldfarb, economist and co-author of Prediction Machines, joins Robb and Josh to explain why AI adoption follows predictable economic principles and why internal resistance, not technology limitations, is the primary barrier to transformation.This conversation, recorded back in 2023, reminds us that most organizations continue to struggle with the same issues surrounding systemic change in 2026. Goldfarb's core argument: AI is fundamentally cheap prediction. Just as the internet made search and copying cheap, AI makes prediction cheap. When something becomes a commodity, the complements, the things that work alongside it, become more valuable. This includes compute power (benefiting Microsoft, Amazon, Google), unique data, and crucially, human judgment.The problem? System solutions require organizational transformation. They create winners and losers inside companies. When AI enables insurance companies to shift from pricing risk (the domain of powerful underwriters) to reducing risk (requiring marketing and behavior change expertise), the power structure fractures. Vested interests resist. Departments see their importance diminished. For leaders evaluating AI investments, the question isn't whether to adopt AI, it's whether you're willing to pursue system transformation and confront the organizational disruption that creates real value.Chapters 00:00 - Intro: Avi Goldfarb on AI as “cheap prediction”01:37 - Have LLMs changed the prediction framework?03:36 - Do we need “new economics” for generative AI?04:15 - What got cheaper on the internet: search, copying, communication05:07 - What becomes more valuable as prediction gets cheap? (complements)05:49 - OneReach.ai sponsor: runtime for AI agents (GSX)06:46 - AI adoption inside companies: invest in people + workflows08:13 - Unintended consequences: jobs, bias, discrimination09:47 - The bigger question: new value creation (not just replacement)10:33 - Upskilling: writing and opportunity expansion for millions12:30 - "No more excuses”: using ChatGPT for clearer communication14:50 - Social media déjà vu: noise, polarization, participation17:04 - Intermediaries changed: self-publishing, music, podcasting19:06 - AI commoditization: $600 models + implications for OpenAI22:36 - Where the money is: compute, data, and complements (not predictions)---------- Support our show by supporting our sponsors!This episode is supported by OneReach.aiForged over a decade of R&D and proven in 10,000+ deployments, OneReach.ai’s GSX is the first complete AI agent runtime environment (circa 2019) — a hardened AI agent architecture for enterprise control and scale. Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption - design, train, test, deploy, monitor, and orchestrate neurosymbolic applications (agents). - Use any AI models- Build and deploy intelligent agents fast- Create guardrails for organizational alignment- Enterprise-grade security and governanceBook a free demo:https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s7e4&utm_content=1 ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5#InvisibleMachines #Podcast #TechPodcast#AIPodcast#AI #AIStrategy#DigitalTransformation#AIAdoption#FutureOfWork#ChangeManagement#PredictionMachines#AILeadership#BusinessTransformation#AIEconomics#EnterpriseAI

Joshua Gans, economist and co-author of Prediction Machines (and holder of the Skoll Chair in Technical Innovation and Entrepreneurship at the Rotman School of Management, University of Toronto) joins Robb and Josh to reframe how enterprise leaders should think about AI. Rather than chasing the hype around artificial intelligence, Gans argues we should understand AI as an advance in computational statistics that drops the cost of prediction, reduces decision-making friction, and fundamentally reshapes organizational structure.Many organizations are full of people waiting for phones to ring, managing buffers, absorbing uncertainty. As AI makes prediction cheap, this middle-management friction layer flattens. His new book, The Microeconomics of Artificial Intelligence, examines the ways AI enhances and perhaps enables decision-making, and how that’s poised to affect organizations and industries. The trio discusses the "hidden secret" of AI adoption that the people who choose the systems used to automate work are essentially "selecting their usurper." While AI will eliminate friction and flatten hierarchies, it will supercharge frontline workers rather than replace them. Forbidding employees from experimenting with AI tools and pushing adoption underground prevents the learning curve needed for proficiency. For leaders navigating AI adoption, this conversation offers a clearer lens: stop thinking about intelligence, start thinking about prediction costs, friction reduction, and the organizational restructuring required to actually capture value. True AI transformation isn't about deploying models, it's about redesigning decision-making architecture across the enterprise.https://www.joshuagans.com---------- Support our show by supporting our sponsors!This episode is supported by OneReach.aiForged over a decade of R&D and proven in 10,000+ deployments, OneReach.ai’s GSX is the first complete AI agent runtime environment (circa 2019) — a hardened AI agent architecture for enterprise control and scale. Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption - design, train, test, deploy, monitor, and orchestrate neurosymbolic applications (agents). - Use any AI models- Build and deploy intelligent agents fast- Create guardrails for organizational alignment- Enterprise-grade security and governanceChapters0:00 — Who is Joshua Gans + why “Prediction Machines” still matters1:34 — AI as prediction (and why that framing wins)2:45 — The “AI startup” wave + the deep learning shift3:25 — AI is computational statistics, not magic4:22 — Why “Artificial Intelligence” is a misleading label6:02 — Econ lens: what becomes cheaper + abundant6:43 — Cheaper prediction: fraud → self-driving7:47 — ChatGPT/LLMs: next-token prediction, new apps9:16 — LLMs as decision support (info → output)10:43 — Rules vs decisions (weather app example)12:45 — Better decisions: error costs + human judgment13:43 — Airports: “cathedrals to uncertainty”16:02 — Hospitals: capacity is an information problem18:07 — Digital twins: avatars, meetings, AI “TA”22:06 — “Ship then shop”: Amazon, prediction, logistics + lock-inRequest free prototype: https://onereach.ai/prototype/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s7e3&utm_content=1 ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5#InvisibleMachines #Podcast #TechPodcast#AIPodcast#AI #ArtificialIntelligence #PredictionMachines#EnterpriseAI#EconomicsOfAI #DigitalTransformation #FutureOfWork #TechInnovation #DecisionMaking #BusinessStrategy #AIStrategy

Before enterprises can deploy AI agents that actually work, they need something most organizations don't have: a single, authoritative source of truth. Joe DosSantos, Workday’s VP of Enterprise Data and Analytics, joins Robb and Josh for a wide-ranging conversation about canonical knowledge, the semantic layer, and why data governance, a concept from the 1990s, has suddenly become essential for AI deployment.Large language models are predictive engines modeled to anticipate what users probably likely mean. For B2C applications where multiple interpretations are acceptable, this works fine. But enterprises need deterministic truth, not probabilistic guesses. The trio outline a solution in three layers: establishing canonical knowledge, building a semantic layer to translate between human definitions and machine-readable formats like YAML, and using LLMs as an interface to deterministic back-end systems.For leaders evaluating AI investments, this episode clarifies what actually needs to be built before agents can deliver value: not flashy use cases, but the unglamorous, essential work of data governance and semantic translation.---------- Support our show by supporting our sponsors!This episode is supported by OneReach.aiForged over a decade of R&D and proven in 10,000+ deployments, OneReach.ai’s GSX is the first complete AI agent runtime environment (circa 2019) — a hardened AI agent architecture for enterprise control and scale. Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption — design, train, test, deploy, monitor, and orchestrate neurosymbolic applications (agents). - Use any AI models- Build and deploy intelligent agents fast- Create guardrails for organizational alignment- Enterprise-grade security and governanceRequest free prototype: https://onereach.ai/prototype/utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s7e2&utm_content=1 ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5Chapters - 0:00 – Welcome to Invisible Machines1:28 – Why AI Agents Fail Without a Source of Truth2:34 – Canonical Knowledge Is More Than Feeding Data to an LLM3:16 – LLMs Are Good at Language, Not Truth4:16 – The Convergence of Governance and Generative AI5:48 – Implicit vs Explicit Knowledge Explained7:31 – Why Accuracy Breaks Down in AI8:37 – The Real Launchpad for AI: Get the Facts Right9:42 – Alignment, Not Intelligence, Is the Hard Problem10:53 – Semantic Layers: Teaching Machines Meaning12:38 – LLMs Are Interfaces, Not Systems14:26 – Routing Questions: Inference vs Deterministic Answers16:21 – Canonical Knowledge Requires Human Ownership18:16 – There Is No ROI for Data (It’s the Foundation)23:59 – From Use Cases to Systems ThinkingEpisode Credits:Robb Wilson - HostJosh Tyson - HostElias Parker - Executive ProducerVishal Menon - ProducerMaksym Zlydar - Audio/Video EditorMykhailo Lytvynov - Audio/Video Editor Eugen Petruk - Graphic DesignAlla Slesarenko - Copy Vira Prykhodko - Web Development #InvisibleMachines #Podcast #TechPodcast#AIPodcast#AI #AgenticAI#AIAgents#DigitalTransformation#AIReadiness #AIDeployment#AISoftware#AITransformation#AIAdoption#AIProjects#EnterpriseAI#CanonicalKnowledge#DataGovernance#SourceOfTruth#AIArchitecture#DeterministicAI

Ben Goertzel, the researcher who helped popularize the terms "AGI" and “singularity”, as one of the most influential modern champions and systematizers of AGI, returns to Invisible Machines to discuss the decentralization of AI and what's actually missing from today's most advanced systems with Robb Wilson and Josh Tyson.As enterprises rush to deploy AI agents and LLMs reshape workflows, a critical question emerges: who controls the infrastructure? Goertzel argues that while big tech dominates model development, a tension is building between centralized hegemony and decentralized, open systems — the same dynamic that shaped the internet itself.In this wide-ranging conversation, Goertzel discusses his current work on Hyperon (the successor to OpenCog) and the ASI Chain, systems designed to enable decentralized AGI development. He explains why the rapid cycles of AI hype and disappointment — the traditional "AI winters and summers" — no longer slow progress the way they once did. The speed of change has accelerated into what he calls a "mathematical singularity," where six-month cycles replace decades-long shifts.---------- Support our show by supporting our sponsors!This episode is supported by OneReach.aiForged over a decade of R&D  and proven in 10,000+ deployments, OneReach.ai’s GSX is the first complete AI agent runtime environment (circa 2019) — a hardened AI agent architecture for enterprise control and scale. Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption — design, train, test, deploy, monitor, and orchestrate neurosymbolic applications (agents). Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceRequest free prototype: https://onereach.ai/prototype/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s7e1&utm_content=1 ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5#InvisibleMachines #Podcast #TechPodcast#AIPodcast#AI#AGI#ArtificialIntelligence#AgenticAI#DecentralizedAI#AIInfrastructure#AIAgents#FutureOfAI#Singularity

We’re in a moment when organizations are approaching agentic AI backwards, chasing flashy use cases instead of building the scaffolding that makes AI agents actually work at scale. Erika Flowers, who led NASA’s AI Readiness Initiative and has advised Meta, Google, Netflix, and Intuit, joins Robb and Josh for a frank and funny conversation about what's broken in enterprise AI adoption. She dismantles the myth of the "big sexy AI use case" and explains why most AI projects fail before they start. The trio makes the case that we're entering a post-software world, whether organizations are ready or not. Listen and learn why the scaffolding— or agent runtime — matters more than use cases, why organizational gaps kill AI projects, how to move projects from pilot to production, and what "post-software" actually means for enterprises.Check out Erika’s podcast, “Flower Power Hour”: https://open.spotify.com/show/15BTSl9fWiH3QTmVAYj6FdLearn more about Erika at www.helloerikaflowers.com/0:09 - NASA AI Readiness Explained | Erica Flowers on Agentic AI & Runtimes1:48 - Why the “Big Sexy AI Use Case” Is a Lie2:42 - AI Didn’t Start with ChatGPT: What NASA Has Been Doing for 30 Years4:24 - Why AI Runtimes Matter More Than Any Single Use Case5:21 - The Hidden AI Problem: Legacy Data, Silos & Organizational Reality7:13 - The Boring AI That Actually Works (And Why Enterprises Ignore It)8:10 - The AI Arms Race Nobody Understands9:22 - AI Scaffolding Explained: The Metaphor Every Leader Needs to Hear12:12 - AI Readiness Is Cultural Change, Not Just Technology14:38 - From Parking Lots to Companies: How Simple AI Agents Quietly Scale17:01 - Why Most AI Features Feel Useless in Real Products19:08 - Stop Automating Spreadsheets: Ask AI the Question Instead25:06 - The Post-Software Era: Why Designers Aren’t Enough Anymore28:33 - UI Is a Medium: How AI Will Absorb Interfaces Entirely46:24 - Infinite Content, Human Creativity, and the Future After AI---------- Support our show by supporting our sponsors!This episode is supported by OneReach.aiForged over a decade of R&D  and proven in 10,000+ deployments, OneReach.ai’s GSX is the first complete AI agent runtime environment (circa 2019) — a hardened AI agent architecture for enterprise control and scale. Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption - design, train, test, deploy, monitor, and orchestrate neurosymbolic applications (agents). Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceRequest free prototype: https://onereach.ai/prototype/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e12&utm_content=1  ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5#InvisibleMachines #Podcast #TechPodcast#AIPodcast#AI #AgenticAI#AIAgents#DigitalTransformation#AIReadiness #AIDeployment#AISoftware#AITransformation#AIAdoption#AIProjects#NASA#AgentRuntime#Innovation#AIUseCase

As 2025 draws to a close, Robb and Josh look back on some of the conversations they had this year both on the podcast and advising major enterprises and government leaders to offer their predictions for agentic AI in 2026. With major disruptive forces like outbound AI in the hands of consumers and agent runtime environments allowing organizations to create scalable infrastructure for AI agents, next year could see seismic changes in the way investors look at companies, and the ways companies look at themselves. Featuring a look at the components of an agent runtime, as well as previews of upcoming episodes with returning guest Ben Goertzel of SingularityNET and Joshua Gans, co-author of Prediction Machines, this episode is required viewing for anyone charged with finding ROI with agentic AI. 00:00 – Introduction to 2026 Agentic AI Predictions01:12 – Outbound AI Arrives02:30 – Scaling vs. Inventing AI04:55 – Ben Goertzel Preview06:45 – Scrappy Innovation in AI08:20 – Invisible Work Explained10:00 – Agents Job-Hunting for You11:15 – Bottom-Up AI Adoption13:10 – Layoffs, Knowledge Loss & AI15:00 – The “Fake AI Expert” Problem16:25 – Why Runtimes Matter18:00 – What IDWs Actually Do20:00 – Canonical Knowledge for Agents28:20 – Invisible Work Demo37:10 – Simulation Becomes the Next Frontier---------- Support our show by supporting our sponsors!This episode is supported by OneReach.aiForged over a decade and proven in 10,000+ deployments, OneReach.ai’s GSX is the first complete AI agent runtime environment (circa 2019) — a hardened AI agent architecture for enterprise control and scale. Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption - design, train, test, deploy, monitor, and orchestrate neurosymbolic applications (agents). Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceRequest free prototype:https://onereach.ai/prototype/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e11&utm_content=1 ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5#InvisibleMachines #Podcast #TechPodcast#AIPodcast#AI #AgenticAI#AIAgents#DigitalTransformation#AI2026#2026Predictions#ArtificialIntelligence#FutureOfWork#AITrends#AIRuntime#IntelligentDigitalWorkers#AIInvestment#EnterprisAI#AIStrategy#AIROIStrategy#AITransformation#InvisibleMachines#AIRuntime

How did a Dutch company most people haven’t heard of come to hold the fate of AI? Marc Hijink, author of Focus — The ASML Way joins Josh and Robb to explore the insatiably precise process of producing the chips that power GPUs, and with them the AI taking shape all around us. Marc is a financial reporter and technology columnist for the Dutch daily newspaper NRC, and Focus is the result of decades of uncompromising, embedded reporting on ASML, which produces 90% of all chips worldwide. Operating out of a quiet town in the Netherlands, their extreme ultraviolet (EUV) lithography machines produce a steady stream of chips working with an accuracy of within a few atoms. The trio explores how the EUV process is as much probabilistic as it is deterministic, as well as the impact that different cultures have on ASML’s partnerships and pipeline. Relying on lenses that have to be grown from crystals, lithography is a high-stakes endeavor that requires a delicate balance of tooling and advanced engineering. We need it to power everything from smartphones to washing machines to traffic lights. With China looking for inroads into this foundational technology that has been controlled by the western world, this conversation is as timely as it is fascinating.Chapters -00:00 - Inside ASML01:12 - How ASML Makes the World’s Chips03:20 - Chip Supply Chain Fragility04:55 - Marc Hijink’s ASML Reporting07:00 - The Hidden Hardware Layer08:20 - Chips & Geopolitics11:00 - Chips Are Physical Matter12:40 - Error Correction & Precision14:30 - ASML x TSMC Partnership16:45 - ASML’s Chaos Culture19:40 - Dutch vs. German Engineering28:20 - Moore’s Law Goes 3D32:10 - ASML + Mistral AI40:00 - Why ASML Can’t Be Copied49:00 - How ASML Prioritizes Orders55:10 - Agentic AI & Complexity1:02:00 - Humans Adapting to AI---------- Support our show by supporting our sponsors!This episode is supported by OneReach.ai — creators of Generative Studio X (GSX), the first complete AI Agent Runtime Environment (V1 circa 2019). Forged over a decade of R&D and proven in 10,000+ deployments, GSX lets enterprises design, build, and orchestrate secure, scalable AI agents and systems. Trusted across healthcare, finance, government, and telecom. Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceAvoid vendor lock-in.Backed by UC Berkeley and recognized by Gartner.Before you build or buy another AI solution, think about getting an AI system.Book a Demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e9&utm_content=1 ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5#InvisibleMachines #Podcast #TechPodcast#AIPodcast#AI #AgenticAI#AIAgents#DigitalTransformation#Cybersecurity#AIInfrastructure#AIOrchestration#AIManagement#TechLeadership#Innovation#ResponsibleAI#AIStandards#OpenAI#Technology

Omar Santos is a Distinguished Engineer directing AI Security at Cisco. He’s here for a frank conversation about the realities of security in the agentic era. As more software is created on-the-fly by AI agents at the request of humans, security has to become an ever-present layer. Security will be built into complete agent runtime environments and will require constant human oversight and intervention, augmented by the ability to simulate outcomes to avoid risk. Omar is also the Co-Chair of the Coalition for Secure AI, and these are the things he’s thinking about on a daily basis. He sits down with Robb and Josh at the end of a travel blitz that included work surrounding OpenAI’s Stargate Project, a four-year $500b plan for new AI infrastructure in the United States. The trio discuss how the ongoing training of models and the rising demand for inference continue to push the demand for security across burgeoning technology ecosystems. ---------- Support our show by supporting our sponsors!This episode is supported by OneReach.ai — creators of Generative Studio X (GSX), the first complete AI Agent Runtime Environment (V1 circa 2019). Forged over a decade of R&D and proven in 10,000+ deployments, GSX lets enterprises design, build, and orchestrate secure, scalable AI agents and systems. Trusted across healthcare, finance, government, and telecom. Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceAvoid vendor lock-in.Backed by UC Berkeley and recognized by Gartner.Before you build or buy another AI solution, think about getting an AI system.Book a Demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e9&utm_content=1 ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5Chapters - 00:00 - Intro and episode setup00:33 - Meet Omar Santos and his role in AI security01:00 - Security as the new programming02:20 - Coalition for Secure AI and security as a new language04:45 - Identity, access, and AI agents06:09 - Scaling models and mega data centers09:04 - Training vs inference and the compute explosion12:54 - Budgets, compute, and hybrid human–AI security teams15:16 - Checklists, guardrails, and spec-driven development20:00 - From IDEs to agent swarms and background agents25:19 - CodeGuard, rules for coding agents, and secure SDLC32:00 - Why doing nothing is the biggest AI security risk39:30 - Validating AI, AI safety levels, and open source dilemmas46:00 - Private networks, insider AI agents, and embedded security51:00 - Simulation, digital twins, and business-wide risk modeling#InvisibleMachines #Podcast #TechPodcast#AIPodcast#AI #AgenticAI#AIAgents#DigitalTransformation#Cybersecurity#AIInfrastructure#AIOrchestration#AIManagement#TechLeadership#Innovation#ResponsibleAI#AIStandards#Cisco#OpenAI#StargateProject#AISecurity#Technology

As the CEO and Co-founder of Apollo GraphQL, Matt DeBergalis has a lot to say about the ways that organizations can confront their inherent complexity and build reliable systems for AI to flourish. He joins Robb and Josh to talk about how GraphQL has made it easier for developers to build meaningful, AI-powered solutions.As an open-source language for APIs, GraphQL makes data fetching more precise and flexible. When utilized within an agent runtime environment, GraphQL gives organizations the ability to build their own tools. As Matt explains, this gives orgs an enormous edge with agentic AI, and helping teams move light on their feet, experiment, and adjust quickly.The trio also reminisces about the early days of the internet and agrees that ChatGPT was the mother of all demos.Looking for the Agent runtime episode - https://youtu.be/CddjTUWSaHA?si=86dSwjyE3uZGYY8FHere is recent news Apollo announced at Summit last week :https://www.apollographql.com/newsroom/press-releases/apollo-expands-platform-to-power-the-agentic-future-at-graphql-summit-2025Chapters - 00:00 - Intro and episode setup02:10 - Unsung hero moment for GraphQL and agent energy03:12 - GraphQL basics for APIs in an agent runtime04:36 - Why GraphQL won - types, tooling, developer velocity05:20 - API design UX - REST vs GraphQL for developers06:54 - From developers to builders - laypeople using agents07:00 - Will the term developer fade - future of dev work12:28 - Edit over scratch - tools that elevate product taste15:35 - Personalized small-batch software and 3D-print analogy17:31 - Agent-personalized apps beyond siloed UIs18:46 - GraphQL as business language - nouns, verbs, capabilities29:04 - Deterministic rails vs non-deterministic models in finance32:01 - Real guardrails with MCP to Agent to GraphQL51:00 - Graph as backbone of agentic AI ---------- Support our show by supporting our sponsors!This episode is supported by OneReach.ai - creators of GSX, the first complete AI Agent Runtime Environment (V1 circa 2019).Forged over a decade of R&D and proven in 10,000+ deployments, GSX lets enterprises design, build, and orchestrate secure, scalable AI agents and systems. Trusted across healthcare, finance, government, and telecom.Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceAvoid vendor lock-inBacked by UC Berkeley and recognized by Gartner.Before you build or buy another AI solution, think about getting an AI system.Book a Demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e6&utm_content=1--------------------> The revised and significantly updated second edition of our bestselling book about successful adoption of AI agents, Age of Invisible Machines, is now available anywhere you buy your books:Amazon — https://bit.ly/4hwX0a5#invisiblemachines#podcast #techpodcast #aipodcast #ai #agenticai #digitaltransformation #graphql #opensource #softwareengineering #techinnovation #digitaltransformation #futureofai #emergingtech #developertools #techtalk #MCP#ApolloGraphQL

Josh and Robb get together to share a short but deep dive into agent runtime environments. Agent runtimes are the missing piece in the many AI projects out in the world that never reach production. Robb explains how runtimes allow businesses to orchestrate AI agents so they can collaborate around business objectives and drive real ROI. Runtimes also give agents access to canonical “source-of-truth” knowledge bases and tools like MCP and A2A that allow them to pull the levers of existing software. Robb and Josh discuss the major investments in time and money required to build a runtime from scratch and why finding a complete agent runtime lets organizations make quick strides with the complex technologies associated with AI.---------- Support our show by supporting our sponsors!This episode is supported through partnership with OneReach.ai. Experience the first complete runtime for AI agents - a turnkey private architecture and tools for building enterprise-grade agentic solutions. Use any AI modelsCreate guardrails for organizational alignmentEquipped with enterprise grade security Avoid vendor lock-in.OneReach.ai’s award-winning AI agent orchestration platform meets the many requirements for seizing powerful new technologies in this pivotal moment.Interested in implementing an Agent Platform for your organization? Book a Demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e6&utm_content=1 ---------- The revised and significantly updated second edition of our bestselling book about successful adoption of AI agents, Age of Invisible Machines, is now available anywhere you buy your books: Amazon — https://bit.ly/4hwX0a5 #agentruntimes#AIruntime#InvisibleMachines #Podcast #TechPodcast#AI #AgenticAI#AIPodcast#DigitalTransformation#AIDisruption #AIAdoption#FutureOfWork #DigitalTransformation #InnovationLeadership #AIInBusiness#BusinessInnovation #onereach

Brian Solis, is a digital anthropologist and futurist who serves as the Head of Global Innovation at ServiceNow and is the former Head of Global Innovation at Salesforce. Brian is a bestselling author of Lifescale, The End of Business as We Know It, and Mindshift, which helps leaders learn how to see emerging trends, harness disruptive forces, and use them to fuel growth. Brian joins Robb and Josh to talk with us about the importance of self-disruption in AI adoption. With so many genAI projects failing to reach production, this episode looks at approaches taken by IKEA and Airbnb that have induced the kind of mind shift that invites self-disruption. Brian, who's been called the CEO whisperer, also talks about the nuanced difference between “aha” and “uh-oh” moments and the pitfalls of hopeless optimism.Brian Solis’s works: https://briansolis.com/books/Key Chapters0:00 — Intro: Josh & Rob set the stage0:34 — Guest intro: Brian Solis (ServiceNow futurist, author of Mindshift)1:07 — Why AI adoption requires self-disruption1:26 — Aha vs Uh-oh moments with AI5:30 — Why Brian is called the “CEO Whisperer”8:30 — Rethinking failure & success (beyond SV mantras)12:11 — Storytelling as strategy: Disney & Airbnb lessons21:40 — MindShift: disruption as a deliberate choice23:10 — Embrace complexity (the VC decision lens)25:10 — Iteration vs innovation: redefining growth29:00 — ROI vs “Return on Ignorance” (cost of not acting)34:01 — Multiple futures & scenario planning39:08 — Organizational AGI: companies as futurists43:28 — IKEA case study: automation + augmentation46:12 — NVIDIA & the power of simulations---------- Support our show by supporting our sponsors!This episode is supported through partnership with OneReach.ai. Experience the runtime for AI agents — a turnkey private architecture and tools for building enterprise-grade agentic solutions. Use any AI modelsCreate guardrails for organizational alignmentEquipped with enterprise grade security Avoid vendor lock-in.OneReach.ai’s award-winning AI agent orchestration platform meets the many requirements for seizing powerful new technologies in this pivotal moment.Interested in implementing an Agent Platform for your organization? Book a Demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e6&utm_content=1 --------------------> The revised and significantly updated second edition of our bestselling book about successful adoption of AI agents, Age of Invisible Machines, is now available anywhere you buy your books:Amazon — https://bit.ly/4hwX0a5#InvisibleMachines #Podcast #TechPodcast#AI #AgenticAI#AIPodcast#DigitalTransformation#AIDisruption #AIAdoption#FutureOfWork #DigitalTransformation #InnovationLeadership #AIInBusiness#BusinessInnovation 

As Global Head of AI at PayPal, Prakhar Mehrotra is looking deeply at the ways agentic AI is affecting commerce — particularly timely given PayPal and Google’s recent announcement of a multiyear strategic partnership to advance various commerce solutions. He joins Josh and Robb for a layered conversation that speculates on the shape of future marketplaces, where machines are bidding and setting prices on behalf of individuals and businesses. The trio also discuss the ways that AI is reworking the plumbing of technology within organizations and how agent runtime environments hold the key to successful adoption of AI. As the world evolves into one with more AI agents than websites, digital interactions might become simplified for users in ways that add complexity for businesses. Prakahr shares his insights into how humans might interact with technology in the future and how technology will change commerce in ways that are hard to fathom but crucial to confront.---------- Support our show by supporting our sponsors!This episode is supported through partnership with OneReach.ai. Experience the runtime for AI agents — a turnkey private architecture and tools for building enterprise-grade agentic solutions. Use any AI modelsCreate guardrails for organizational alignmentEquipped with enterprise grade security Avoid vendor lock-inOneReach.ai’s award-winning AI agent orchestration platform meets the many requirements for seizing powerful new technologies in this pivotal moment.Interested in implementing an Agent Platform for your organization? Book a Demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e5&utm_content=1 --------------------> The revised and significantly updated second edition of our bestselling book about successful adoption of AI agents, Age of Invisible Machines, is now available anywhere you buy your books: Amazon — https://bit.ly/4hwX0a5 Chapters -0:00 — Intro & guest: Prakhar Mehrotra, PayPal1:46 — Galaxy Quest, aliens & how LLMs “learn”3:46 — When AI gets a wallet: true agency begins6:42 — Marketing to humans vs marketing to AIs8:19 — From the information age to the intelligence age10:25 — Decision hierarchies: bots, assistants & concierge agents13:05 — Hyper-personalized pricing in the LLM era17:20 — Merchants vs consumers: who wins when agents decide19:09 — Human vs tech today, AI vs AI tomorrow (electricity wars)25:11 — Marketplaces where agents set prices (the PayPal angle)51:41 — Identity, fraud & trust: why payments need a gatekeeper54:27 — Micropayments & sub-penny agent-to-agent economies1:02:04 — PayPal as the “clearing house” of agentic commerce1:17:16 — Closing thoughts & outro#InvisibleMachines #Podcast #TechPodcast#AI #AgenticAI#AIPodcast#DigitalTransformation#AIFirst#AIAdoption#TechLeadership#Commerce#PayPal#Innovation

Cassie Kozyrkov returns for a deep dive into the decision science behind a truly AI-first approach to technology adoption. Cassie was Google’s first Chief Decision Scientist and currently advises world leaders and executives on how to optimize their most critical decisions. In this episode she explains why AI is now our memory prosthesis and offers sage guidance on how individuals and organizations can become AI-first. This includes an urgent warning to business leaders to avoid the low-hanging fruit of using AI to automate processes there are already clear instructions for. Instead, Cassie explains how to begin looking in the attic and targeting the stuff that always seemed impossible to automate.Introduction to neural networks and deep learning (by Cassie) -  https://bit.ly/mfml_113Cassie also offers courses on Maven, including one with Pascal BORNET and Brian Evergreen (Agentic Artificial Intelligence for Leaders) - the next cohort is Sept 8-19, 2025: https://maven.com/the-future-solving-company/agentic-intelligence-for-leaders---------- Support our show by supporting our sponsors!This episode is supported through partnership with OneReach.ai. Experience the runtime for AI agents — a turnkey private architecture and tools for building enterprise-grade agentic solutions. Use any AI modelsCreate guardrails for organizational alignmentEquipped with enterprise grade security Avoid vendor lock-inOneReach.ai’s award-winning AI agent orchestration platform meets the many requirements for seizing powerful new technologies in this pivotal moment.Interested in implementing an Agent Platform for your organization? Book a Demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e4&utm_content=1 --------------------> The revised and significantly updated second edition of our bestselling book about successful adoption of AI agents, Age of Invisible Machines, is now available anywhere you buy your books: Amazon — https://bit.ly/4hwX0a5 #InvisibleMachines #Podcast #TechPodcast#AI #AgenticAI#AIPodcast#DigitalTransformation#DecisionScience#AIFirst#AIAdoption#TechLeadership#FutureofWork#EnterpriseAI#AIAgents#TechTrends#google

Bryan Catanzaro was instrumental in the adoption of GPUs for powering machine learning, which has effectively turned NVIDIA from a graphics processing hardware company into a $4T AI powerhouse. Bryan joins Robb and Josh to talk about his journey in AI and how the unique psychology and power structures at NVIDIA enables the company to continually meet the moment in surprising ways. They also discuss the impact of Bryan’s plea for help in categorizing data for emerging language models at a 2019 keynote he delivered to librarians at Stanford. Perhaps most importantly, Bryan shares thoughts on how hair was the first technology. ---------- Support our show by supporting our sponsors!This episode is supported through partnership with OneReach.ai. Experience the runtime for AI agents — a turnkey private architecture and tools for building enterprise-grade agentic solutions. Use any AI modelsCreate guardrails for organizational alignmentEquipped with enterprise grade security Avoid vendor lock-inOneReach.ai’s award-winning AI agent orchestration platform meets the many requirements for seizing powerful new technologies in this pivotal moment.Interested in implementing an Agent Platform for your organization? Book a Demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=s6e3&utm_content=1 ------------------ The revised and significantly updated second edition of our bestselling book about successful adoption of AI agents, Age of Invisible Machines, is now available anywhere you buy your books: Amazon - https://bit.ly/4hwX0a5 #InvisibleMachines #Podcast #TechPodcast#AI #AgenticAI#AIPodcast#DigitalTransformation #Coding#TechTrends#EnterpriseAI#GPUs #NVIDIA #AIInnovation #DataScience #LanguageModels #TechLeadership#CUDA

In her instant New York Times bestseller, Empire of AI, journalist Karen Hao distills more than a decade of in-depth research into a detailed account of OpenAI’s rise to power and why leadership at the company abandoned their promise to keep their research open. Karen joins Robb and Josh for a deep dive into murkiness surrounding what artificial general intelligence (AGI) actually represents and why AI colonialism and biased systems undercut efforts to create superintelligence that represents the vastness of human learning and experience. Drawing on the work of a nonprofit in New Zealand to preserve the Māori language, the trio also discuss why smaller, focused implementations that use better curated data might be more valuable to businesses trying to integrate AI into their operations.Buy Karen Hao’s book “Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI”: https://www.penguinrandomhouse.com/books/743569/empire-of-ai-by-karen-hao/Learn more about Karen and here work: https://karendhao.com/---------- Support our show by supporting our sponsors!This episode is supported through partnership with OneReach.ai. Experience the runtime for AI agents — a turnkey private architecture and tools for building enterprise AI agents with guardrails. Use any AI modelsWith enterprise grade security And avoid vendor lock-in.OneReach.ai’s award-winning AI agent orchestration platform meets the many requirements for seizing powerful new technologies in this pivotal moment.Learn more at onereach.ai/ai-agents.—---------The revised and second edition of our bestselling book, Age of Invisible Machines, is available now on Amazon! https://a.co/d/axLFOhX Episode Credits:Robb Wilson — Resident expertJosh Tyson — Co-hostVishal Menon — ProducerMykhailo Lytvynov — Audio/Video Editor & Sound EngineerDaryna Moskovchuk — Graphic DesignAlla Slesarenko — Copy Vira Prykhodko — Web Development Elias Parker — Executive Producer#InvisibleMachines #Podcast #TechPodcast#AI #AgenticAI#AIPodcast#KarenHao#OpenAI#AGI#OAGI#EmpireOfAI#AIColonialism#Anthropomorphism#FutureOfAI

Award-winning journalist Stephen Witt sits down with Josh and Robb to share insights from his latest book, The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip. There’s a deep connection between Nvidia’s GPU chips and the neural networks powering the LLMs at the center of agentic AI. Witt’s book provides a captivating biography of Huang that details his radical approach to business and innovation, which has made Nvidia the most valuable company in the world (recently reaching a record-breaking market cap of $4 trillion). This episode explores this history of AI as well as the coming Omniverse and what the power of simulation will mean to businesses.Buy Stephen Witt’s book! The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip---------- Support our show by supporting our sponsors!This episode is supported through partnership with OneReach.ai Experience the runtime for AI agents - a turnkey private architecture and tools for building enterprise AI agents with guardrails. Use any AI modelsWith enterprise grade security And avoid vendor lock-in.OneReach.ai’s award-winning AI agent orchestration platform meets the many requirements for seizing powerful new technologies in this pivotal moment.Learn more at onereach.ai/ai-agents.------------------------------------------------------------The revised and second edition of our bestselling book, Age of Invisible Machines, is available now wherever you buy books! Amazon: https://a.co/d/axLFOhXEpisode CreditsRobb WilsonJosh TysonVishal Menon - ProducerMykhailo Lytvynov - Audio/Video Editor & Sound EngineerDaryna Moskovchuk - Graphic DesignAlla Slesarenko - Copy Vira Prykhodko - Web Development Elias Parker - Executive Producer#InvisibleMachines #Podcast #TechPodcast#AI #AgenticAI#AIPodcast#Nvidia#TechTrends#EnterpriseAI#TheThinkingMachine#FutureofWork#TechBooks#Business#Innovation#simulation#omniverse#jensenhuang

Product design sage Tim Wood returns to the podcast for a conversation about the deepening integrations between experience design and AI, including a dissection of the trending term “vibe coding.” Currently a design lead at Meta, Tim has hands-on experience leading AI-first design and this episode explores what that means on a tactical level. Having been the Principal Product Designer for AI Platforms at AWS, and Head of Design for Amazon Q Developer, Tim shares hot takes with Robb and Josh on what automated mainframe migration means for SaaS providers as well as the broader business community, which leads to the real-time birth of another new term: “placebo swipes.”  ---------- Support our show by supporting our sponsors!This episode is brought to you in partnership with OneReach.ai — offering turnkey private architecture for building and orchestrating your team’s AI agents with guardrails.Use any AI modelsTrusted enterprise-grade securityNo vendor lock-inDiscover more about the power of orchestrating agentic AI: https://bit.ly/4jBfVRt --------------------- Our new book is out NOW! The revised and significantly updated second edition of our bestselling book about how teams can successfully orchestrate AI agents, Age of Invisible Machines, is now available everywhere! https://a.co/d/im5rb8F#InvisibleMachines #Podcast #TechPodcast#AI #AgenticAI#AIPodcast#UXDesign #ExperienceDesign #AIDesign #UserExperience #AIAntegration #SaaS#DigitalTransformation #Coding#VibeCoding#TechTrends#EnterpriseAI#aiagents #aibooks #bestsellingbooks #aws #meta

What is the explosion of AI solutions in the marketplace doing to pillars of experience design? On this Ask Us Anything episode of Invisible Machines, Robb and Josh respond to a question from Dr. Irina Wagner,  listener who works as a generative AI UX researcher at a massive US healthcare company. The answer to her question has connections to Robb’s time working in the sound department at Warner Bros., on films ranging from Galaxy Quest to The Thin Red Line. At its core, success in UX comes down to storytelling. People love stories—give them a compelling one, and they will follow you. As adoption increases, AI is likely to expose bad design by putting a premium on effective storytelling and good taste. This episode takes a deeper look at these elements, offering a fresh perspective and some hard truths about technology and design.---------- Support our show by supporting our sponsors!This episode is brought to you in partnership with OneReach.ai—offering turnkey private architecture for building your team’s AI agents with guardrails.Use any AI modelsTrusted enterprise-grade securityNo vendor lock-inDiscover more about AI agents and how your team can build and scale them: https://bit.ly/3DCxgu8 --------------------- Our new book is on it's way! The revised and significantly updated second edition of our bestselling book about successful adoption of AI agents, Age of Invisible Machines, is now available for preorder on Amazon: https://bit.ly/4hwX0a5 #InvisibleMachines #Podcast #TechPodcast#AI #AIPodcast#UXDesign #ExperienceDesign #Storytelling #AIDesign #UserExperience #HumanCenteredDesign #TechInnovation #DesignThinking #DigitalTransformation #FutureOfAI #MachineLearning #ProductDesign #CreativeTechnology

As NASA’s longest-running Chief Administrator, Dan Goldin ushered in an era of “faster, better, cheaper” that prioritized safety while pushing the organization forward. He joins Robb and Josh to discuss his approach to innovation and kick some holes in fallacies like the iron triangle, which he calls “horsepuckey.” Goldin was at the helm of major projects, including a redesign of the International Space Station, and various Mars exploration programs. Robb and Josh dig into his profound 50/50 rule for finding team members who can move the needle on innovation without holding an organization back, which has a surprising connection to the work of Michaelangelo. In this episode:The 2nd edition of Robb and Josh’s bestselling book, Age of Invisible Machines: A Guide to Orchestrating AI Agents and Making Organizations More Self-Driving: http://bit.ly/4b7Rx7d Michelangelo’s sculptures: https://www.michelangelo.net/sculptures/ Ben R. Rich's book, Skunk Works: A Personal Memoir of My Years at Lockheed: https://www.amazon.com/Skunk-Works-Personal-Memoir-Lockheed/dp/0316743003Big Hairy Audacious Goals (BHAG): https://www.investopedia.com/terms/b/big-hairy-audacious-goal-bhag.asp The North American Free Trade Agreement (NAFTA): https://en.wikipedia.org/wiki/North_American_Free_Trade_AgreementWorld Trade Organization: https://www.wto.org/Czinger, an American automobile manufacturer of hybrid sports cars: https://www.czinger.com/BRIDGE Bike Works, a full cycle manufacturer of carbon fiber bicycles, designed and manufactured entirely in Toronto, Canada: https://www.bridgebikeworks.com/The Invisible Machines episode, "S4E9 Digital Twins in an Agentic World” with Dr. Michael Grieves: https://youtu.be/KsL3w2bVjmw?si=KtKRxw9d_ofszFRs Learn more about Dan Goldin, his initiatives, blog and speaking engagements - and do follow him on Linkedin - he’s got a lot of wisdom as is great at sharing it:https://www.danielsgoldin.com/The revised and significantly updated second edition of our bestselling book, Age of Invisible Machines, is now available for preorder on Amazon: https://bit.ly/4hwX0a5 Support our show by supporting our sponsors!This episode is brought to you in partnership with OneReach.ai—offering turnkey private architecture for building your team’s AI agents with guardrails.Any AI modelsEnterprise-grade securityNo vendor lock-inDiscover more about the power of agentic AI: https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_episode_with_dan_goldin&utm_content=1 #TechPodcast#NASA#DanGoldin#Innovation#Leadership #SpaceExploration#Aerospace#TechLeadership#TalentStrategy#STEM#AIPodcast#TechPodcast#InvisibleMachines#ArtificialIntelligence#AIAgents#AgenticAI#TechInnovation

Did the US Copyright office just declare that AI is the artist, not the tool?Does their new report raise more questions than it answers? Robb and Josh welcome back Ed Klaris, Managing Partner at Klaris Law and Columbia Law professor, for part two of their discussion on the office’s ongoing Copyright and Artificial Intelligence report, focusing on copyrightability.Klaris returns with critical insights into what these updates to copyright law mean with more and more people now using generative AI as part of their creative process. The report sets some useful guidelines for which aspects of AI-assisted creative projects are copyrightable, yet it also sparks new questions about the boundaries between human and machine-generated output.Find out more about Ed Klaris and his work here: https://www.klarislaw.comThe revised and significantly updated second edition of our bestselling book, Age of Invisible Machines, is now available for preorder on Amazon! https://bit.ly/4hwX0a5 In this episode, we mention:US Copyright Office’s report on Copyright and Artificial Intelligence (Part 1: Digital Replicas and Part 2: Copyrightability): https://www.copyright.gov/ai/An AI-Generated Picture Won an Art Prize: https://www.nytimes.com/2022/09/02/technology/ai-artificial-intelligence-artists.htmlDeepSeek, a Chinese artificial intelligence software company: https://www.deepseek.com/What Air Canada Lost In ‘Remarkable’ Lying AI Chatbot Case: https://www.forbes.com/sites/marisagarcia/2024/02/19/what-air-canada-lost-in-remarkable-lying-ai-chatbot-case/Cursor, an AI code editor: https://www.cursor.com/The Invisible Machines episode, "S4E13 Are generative AI tools unlawful to use?”: S4E13 Are generative AI tools unlawful to use? --------------------------------------------------------------------Support our show by supporting our sponsors!This episode is brought to you in partnership with OneReach.ai—offering turnkey private architecture for building your team’s AI agents with guardrails.Any AI modelsEnterprise-grade securityNo vendor lock-inLearn about creating and orchestrating AI agents for your team:https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_episode_with_ed_klaris_2&utm_content=1 #AI#AIPodcast#TechPodcast#InvisibleMachines#ArtificialIntelligence#AIAgents#AgenticAI#TechInnovation#GenerativeAI#CopyrightLaw #AILaw#IntellectualProperty#AICopyright#LegalTech#DigitalRights#TechLaw

Blaise Agüera y Arcas, author and CTO of Technology & Society at Google, returns to the podcast to talk about his new work, What is Life?. This limited-edition, pocket-sized book is the first part of a larger print project with MIT Press and Antikythera titled What Is Intelligence?. What is Life? draws fascinating parallels between the life-building chemical reactions taking place in natural chimneys deep in our oceans and the work of Alan Turing and John von Neumann in the mid-twentieth century. Blaise joins Robb and Josh to explore how self-reproduction—and thus life—is inherently computational. This conversation delves into the nested nature of life on Earth and how technology is an extension of our evolution.You can buy Blaise’s books from Hat & Beard Press:Who Are We Now? https://hatandbeard.com/products/who-are-we-now-by-blaise-aguera-y-arcas Ubi Sunt https://hatandbeard.com/products/ubi-sunt-by-blaise-aguera-y-arcas In this episode, we mention:Blaise Agüera y Arcas’s work, “What is Life” — read for free online: https://whatisintelligence.antikythera.orgLynn Margulis’s books: https://www.amazon.com/Books-Lynn-Margulis/s?rh=n%3A283155%2Cp_27%3ALynn%2BMargulisConventional evolutionary theory (Neo-Darwinism): https://en.wikipedia.org/wiki/Neo-DarwinismStephen Jay Gould’s books: https://www.amazon.com/Books-Stephen-Jay-Gould/s?rh=n%3A283155%2Cp_27%3AStephen%2BJay%2BGould W. Brian Arthur’s book, “The Nature of Technology: What It Is and How It Evolves”: https://www.amazon.com/Nature-Technology-What-How-Evolves/dp/1416544062The Invisible Machines episode, "Radically Honest AI with Dr. Anna Lembke": S5E01 Radically Honest AI with Dr. Anna LembkeAnna Lemble’s book, “Dopamine Nation: Finding Balance in the Age of Indulgence”: https://www.amazon.com/Dopamine-Nation-Finding-Balance-Indulgence/dp/152474672XRichard S. Sutton and Andrew G. Barto's book, "Reinforcement Learning: second edition: An Introduction (Adaptive Computation and Machine Learning series)" (about temporal difference learning): https://www.amazon.com/Reinforcement-Learning-Introduction-Adaptive-Computation/dp/0262039249/ref=dp_ob_title_bkWolfram Schultz’s work, “Responses of monkey dopamine neurons to reward and conditioned stimuli during successive steps of learning a delayed response task”: https://pubmed.ncbi.nlm.nih.gov/8441015/The direction of time and Boltzmann’s time hypothesis: http://staff.mechmining.uq.edu.au/klimenko/pub/pdf/Phys_Scr_2019.pdfRay Kurzweil's book, "The Singularity Is Near: When Humans Transcend Biology": https://www.amazon.com/Singularity-Near-Humans-Transcend-Biology/dp/0670033847 The story of the Luddites: https://en.wikipedia.org/wiki/LudditeThe Invisible Machines episode, “The Intelligence All Around Us” with James Bridle: S4E4 The Intelligence All Around UsJames Bridle’s' book, “Ways of Being: Animals, Plants, Machines: The Search for a Planetary Intelligence”: https://www.amazon.com/Ways-Being-Machines-Planetary-Intelligence/dp/0374601119 Disney Pixar’s movie, “WALL·E”: https://www.imdb.com/title/tt0910970/Joseph Henrich's book, "The Secret of Our Success: How Culture Is Driving Human Evolution, Domesticating Our Species, and Making Us Smarter": https://www.amazon.com/Secret-Our-Success-Evolution-Domesticating/dp/0691166854 Ethan Mollick's book, "Co-Intelligence: Living and Working with AI": https://www.amazon.com/Co-Intelligence-Living-Working-Ethan-Mollick/dp/059371671X Learn about creating and orchestrating AI agents for your team:https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_episode_with_blaise_aguera_y_arcas&utm_content=1#AI#AIPodcast#TechPodcast#InvisibleMachines#ArtificialIntelligence#AIAgents#AgenticAI#TechInnovation#WhatIsLife#AIandLife#AIResearch#Intelligence#EvolutionAndTechnology#LifeOnEarth#TechAndSociety

Anna Lembke, MD, author of the New York Times bestseller Dopamine Nation: Finding Balance in the Age of Indulgence, joins Robb and Josh for a discussion about the perils and promise of AI. As a psychiatrist and Chief of the Stanford Addiction Medicine Dual Diagnosis Clinic at Stanford University, Dr. Lembke shares critical insights into the power and nature of behavioral addiction, and how technology and digital media are impacting the dopamine systems in our brains. Drawing from her experience with patients, she shares the concept of radical honesty—a cornerstone of addiction recovery. Together, they explore how radically honest AI could pose less of a threat and help establish healthier boundaries around technology use.In this episode, we mention:Dr. Anna Lemble’s book “Dopamine Nation: Finding Balance in the Age of Indulgence”: https://www.amazon.com/Dopamine-Nation-Finding-Balance-Indulgence/dp/152474672X The forthcoming revised and updated 2nd edition of Robb Willson and Josh Tyson’s bestselling book, “Age of Invisible Machines: A Practical Guide to Creating a Hyperautomated Ecosystem of Intelligent Digital Workers”: https://www.amazon.com/Age-Invisible-Machines-Orchestrating-Organizations/dp/1394321554Dr. Anna Lembke’s “The Official Dopamine Nation Workbook: A Practical Guide to Finding Balance in the Age of Indulgence”: https://www.amazon.com/Official-Dopamine-Nation-Workbook-Indulgence/dp/0593476212?sr=1-1Pew Research Center survey of U.S. teens ages 13 to 17 conducted Sept. 18-Oct.10, 2024: "Teens, Social Media, and Technology 2024": https://www.pewresearch.org/internet/2024/12/12/teens-social-media-and-technology-2024/Learn about creating and orchestrating AI agents for your team:https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_episode_with_anna_lembke&utm_content=1#AI#AIPodcast#TechPodcast#InvisibleMachines#ArtificialIntelligence#AIAgents#AgenticAI#TechInnovation#DopamineNation#RadicalHonesty#DigitalAddiction#MentalHealth#TechImpact#BehavioralScience#Dopamine#AnnaLembke

Active inference is a “first principles” approach to understanding behavior and the brain, framed in terms of a single imperative to minimize free energy. The free energy principle describes systems that pursue paths of least surprise, minimizing the difference between predictions based on their model of the world and their sense and associated perception. Dr. Thomas Parr is a practicing clinician and prominent researcher in the field of theoretical neuroscience and he currently works as an NIHR Academic Clinical Fellow in Neurology at the University of Oxford’s Nuffield Department of Clinical Neurosciences. He is also a co-author of Active Inference: The Free Energy Principle in Mind, Brain, and Behavior, written in collaboration with Giovanni Pezzulo and Karl J. Friston.In this episode, we mention:Thomas Parr’s book “Active Inference: The Free Energy Principle in Mind, Brain, and Behavior (co-written with Giovanni Pezzulo and Karl J. Friston): https://www.penguinrandomhouse.com/books/704196/active-inference-by-thomas-parr-giovanni-pezzulo-and-karl-j-friston/Troxler's fading: https://en.wikipedia.org/wiki/Troxler%27s_fading The Invisible Machines episode “Digital Natives Are Now AI Immigrants” with Marc Prensky: https://youtu.be/CAKumte_JP8?si=OxPKZbRKIegEjBvh Landauer's principle: https://en.wikipedia.org/wiki/Landauer%27s_principle Learn about orchestrating AI agents for your team:https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_episode_with_thomas_parr&utm_content=1#aipodcast#techpodcast#invisiblemachines#ai#artificialintelligence#aiagents#agenticai#techinnovation#neuroscience#activeinference#machinelearning#congitivescience#behavioralscience#futureofai#neuroai#thinkingmachines

Despite being a massive piece of the bigger AI puzzle, computer vision doesn’t always get the recognition it deserves. Robb and Josh welcome Dr. Jason Corso, Professor of Robotics at University of Michigan for an In Action episode that explores the complexity and power of machines that can see. Jason is the Co-Founder and Chief Science Officer of Voxel51, which is backed by Bessemer Venture Partners, and in this episode he demonstrates open-source tools available for working with massive datasets that include images and videos. The trio also discuss the border implication of adding the context that vision can afford to multi-agent systems.Explore Dr. Jason Corso’s Voxel51 platform: https://voxel51.com/ FiftyOne Open Source: Voxel51's open source toolkit for building high-quality datasets and computer vision models.FiftyOne Teams: Voxel51’s commercial offering based on open source FiftyOne.People can try FiftyOne at try.fiftyone.ai. Voxel51 on Github: https://github.com/voxel51/fiftyoneA course on Coursera that Voxel51 created called "Hands-on Data Centric Visual AI" —  https://www.coursera.org/learn/hands-on-data-centric-visual-aiLearn about orchestrating AI agents for your team:AI agent landing page with the whitepaper: https://onereach.ai/ai-agents/?utm_source=soundcloud+&utm_medium=social&utm_campaign=computer_vision_in_action_episode&utm_content=1 Learn about the only tools for orchestrating AI agents that are named a leader by all major analyst firmsAI agent landing page (dev): https://aiagents.onereach.ai/?utm_source=soundcloud&utm_medium=social&utm_campaign=computer_vision_in_action_episode&utm_content=1 #AIPodcast#TechPodcast#InvisibleMachines#AI #ArtificialIntelligence#AIAgents#AgenticAI#ComputerVision#MultiAgentSystems#DataScience#TechInnovation#AIinAction#GenerativeAI#NoCode#Automation #DigitalTransformation#AITech

What’s it like to build an AI agent? Daniel Lametti, Associate Professor of Psycholinguistics at Acadia University, Visiting Fellow at the University of Oxford, and Senior Academic Advisor to OneReach.ai, returns to Invisible Machines to demonstrate how easy it can be to create and iterate on AI agents.Like other In Action episodes, you’ll watch as we walk through the practical realities of building these systems. This time, see how professor Daniel Lametti creates an objective-based AI agent that helps users craft and send emails. Though he’s hesitant to think of himself as one, conversational technologies have made Daniel a deft software developer. In this In Action episode, Daniel shares his experiences building AI agents with Robb and Josh. The trio discuss and show how coding languages are moving further into the background as machines become more adept at communicating in human language.Follow Daniel Lametti’s work: https://psychology.acadiau.ca/daniel-lametti.htmlLearn about orchestrating AI agents for your team:https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=email_agents_in_action_episode&utm_content=1 #AIPodcast#TechPodcast#InvisibleMachines#AI #ArtificialIntelligence#AIAgents#AgenticAI#GenerativeAI#LLMs#ConversationalAI#InAction#NoCode#Automation #DigitalTransformation#NaturalLangiageProcessing#Email#SoftwareDevelopment#FutureofAI#UXDesign#MachineLearning#AITech

Robb and Josh are joined by Ed Klaris, Managing Partner at Klaris Law, Columbia Law professor, and CEO of KlarisIP, for a conversation about the fate of generative tools like LLMs and AI models that produce audio and video. From Ed’s viewpoint, giant tech companies used stolen content to train the powerful AI models that have quickly changed the world around us. The trio discuss the question of whether or not it’s lawful for us all to use generative AI tools and how IP and copyright law will impact, and be impacted by generative AI. As we wait for landmark decisions that will determine the fate of these tools, this conversation with Ed Klaris offers context and food for thought, and for some maybe even a sense of alarm. In this episode, we mention: The US Copyright Office: https://copyright.gov/ The Statute of Anne, also known as the Copyright Act 1710: https://en.wikipedia.org/wiki/Statute_of_Anne Google Books copyright case: https://en.wikipedia.org/wiki/Authors_Guild,_Inc._v._Google,_Inc. AIr Canada AI chatbot case: https://www.forbes.com/sites/marisagarcia/2024/02/19/what-air-canada-lost-in-remarkable-lying-ai-chatbot-case/ Follow Ed Klaris's work: https://www.klarislaw.com/ Learn about orchestrating AI agents for your team: https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=copyright_law_episode&utm_content=1 #AIPodcast #TechPodcast #InvisibleMachines #AI #ArtificialIntelligence #AIAgents #AgenticAI #GenerativeAI #LLMs #IntellectualProperty #CopyrightLaw #AIEthics #TechLaw #AIRegulation #DigitalTransformation #Innovation #FutureofAI #AIandIP #LegalTech #AITransparency

Jieun Kiaer is the Professor of Korean Linguistics at Oxford and her new book, The Future of Syntax: Asian Perspectives in an AI Age, explores the complexity within Chinese, Japanese, and Korean languages, arriving at insights that veer away from traditional approaches to formal syntax. The book also revisits Marc Prensky’s “digital native” concept, laying the groundwork for a new generation of technology users, “AI natives.” Jieun joins Robb and Josh for a conversation about the promise and peril of radical new technologies in classroom settings and how we might shift our focus to designing a positive future for AI natives. In this episode, we mention: Jieun Kiaer’s book “The Future of Syntax: Asian Perspectives in an AI Age”: https://www.bloomsbury.com/us/future-of-syntax-9781350258273/ Follow Jieun Kiaer’s work: https://www.ames.ox.ac.uk/people/jieun-kiaer Learn about orchestrating AI agents for your team: https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=future_for_ai_natives_episode&utm_content=1 #AIPodcast #TechPodcast #InvisibleMachines #AI #ArtificialIntelligence #AIAgents #DigitalTransformation #Innovation #AIInEducation #DigitalNatives #AINatives #FutureOfLearning #TechnologyInClassrooms #AIandEducation #AsianLanguages #Linguistics #TechnologyInEducation #LanguageLearning ##JieunKiaer

Marc Prensky is widely known for coining the terms “digital native” and “digital immigrant”—both now in the Oxford English Dictionary. In this episode, Marc joins Josh for a conversation about the shortcomings of our current education system and how AI might help inspire and enable a new generation of "AI natives" to design their own future. The two discuss the challenges that companies face in adjusting to this new technology paradigm, as well as the potential benefits and risks that conversant machines bring to society. As an eternal optimist, Marc shares his vision of how young people in the third millennium might view productivity and purpose. Marc and Josh also debate the role smartphones play in the classroom of the future, and agree that the world needs more love, empathy, gratitude, and optimism. In this episode, we mention: Marc Prensky’s book “Third Millennium Kids: A Hell Yes! Low Stress Guide For Everyone”: https://www.amazon.com/Third-Millennium-Kids-Stress-Everyone/dp/B0DC3J8XV6 Learn more about Marc Prensky: marcprensky.com Learn about orchestrating AI agents for your team: SoundCloud: https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=digital_natives_episode&utm_content=1 YouTube: https://onereach.ai/ai-agents/?utm_source=youtube&utm_medium=social&utm_campaign=digital_natives_episode&utm_content=1 #AIPodcast #TechPodcast #InvisibleMachines #AI #ArtificialIntelligence #ConversationalAI #AIAgents #TechInsights #DigitalTransformation #TechTalk #Innovation #DigitalNatives #AIInEducation #FutureOfLearning #TechnologyInClassrooms #MarcPrensky #AINatives

With consumer use of AI technology outpacing enterprise adoption, the fear of companies using AI to get rid of employees has been flipped on its head into legitimate threat to the existence of companies as we know them. There’s nothing preventing consumers from using generative tools to disrupt large companies—for example, using a fleet of AI agents to flood and debilitate a call center to take advantage of a promotion. Harsha Gowda and Nitin Bhudia, respectively the CTO and Director of Innovation at Getronics, join Robb and Josh to discuss the risk organizations take by dragging their feet in the race for AI adoption. This conversation explores how organizations can embrace “artificial incompetence” as a necessary initial phase on the course to artificial intelligence, and seed the velocity that will transform their operations. By using AI agents to create an abstraction layer over existing solutions, organizations can take control of their futures. In this episode, we mention: The Invisible Machines episode “Digital Twins in an Agentic World” with Dr. Michael Grieves, the father of Digital Twins: https://www.youtube.com/watch?v=KsL3w2bVjmw The TV series “Fawlty Towers”: https://www.imdb.com/title/tt0072500/ Learn more about Getronics: https://www.getronics.com/ Discover how to succeed with an agentic approach to software: https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=ai_and_companies_episode&utm_content=1 #AIPodcast #TechPodcast #InvisibleMachines #AI #ArtificialIntelligence #ConversationalAI #AIAgents #TechInsights #DigitalTransformation #TechTalk #Innovation #GenerativeAI #BusinessStrategy #AIAdoption #OrganizationalAGI

Digital twins are critical to the orchestration of AI agents, providing the context they need to create meaningful experiences quickly and efficiently. Robb and Josh welcome Dr. Michael Grieves for a conversation about the origins of the concept, which he developed while working with NASA in the 2010s. The architecture required for orchestrating AI agents relies on different types of digital twins that may emerge within an organization, touching on physical elements, temporal data, and collections of unstructured data. Dr. Grieves joins the podcast to explore these connections, drawing from his book Product Lifecycle Management as well as his numerous scientific publications. The trio also discusses how something Michael calls “retirementitus” prevents organizations from embracing the sweeping technologies surrounding AI and digital twins. In this episode, we mention: Dr. Michael Grieves’ book “Product Lifecycle Management: Driving the Next Generation of Lean Thinking”: https://www.amazon.com/Product-Lifecycle-Management-Generation-Thinking/dp/0071452303 Dr. Michael Grieves’ book “Digital Twins, Simulation, and the Metaverse: Driving Efficiency and Effectiveness in the Physical World through Simulation in the Virtual Worlds (Simulation Foundations, Methods and Applications): https://www.amazon.com/Digital-Twins-Simulation-Metaverse-Effectiveness/dp/3031691067 The Invisible Machines episode “Building an Advanced Digital Assistant” with Jeff McMillan (Head of AI) and David Wu (Head of Knowledge Management & Generative AI) at Morgan Stanley: https://www.youtube.com/watch?v=3iQbufK1luE&t=1567s Charles Perrow’s book “Normal Accidents: Living with High Risk Technologies: https://www.perlego.com/book/735258/normal-accidents-living-with-high-risk-technologies-updated-edition-pdf The Invisible Machines episode with Dr. Nathan Price, Chief Scientific Officer of Thorn HealthTech, and Dr. Lee Hood, a world-renowned scientist, a recipient of the National Medal of Science, and a key contributor to the human genome project: https://www.youtube.com/watch?v=rrrEu5TNqFg The Invisible Machines episode “Lean Knowledge Management” with Roger Forsgren, former Chief Knowledge Officer at NASA: https://www.youtube.com/watch?v=e4A_JiBRCr8 You can learn more about orchestrating AI agents for your team: https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=digital_twins_episode&utm_content=1 #AIPodcast #TechPodcast #InvisibleMachines #AI #ArtificialIntelligence #ConversationalAI #AIAgents #TechInsights #DigitalTwins #AIOrchestration #ProductManagement #TechInnovation #DataArchitecture #MichaelGrieves #FutureOfAI #TechTalk

As AI agents continue to alter the way people interface with technology, Robb and Josh were eager to speak with journalist Matt Alston about his popular Business Insider article “Everyone hates Workday.” In this deep exploration of our multifaceted interactions with machines, Matt reminds us that Workday’s UX is different across a whole spectrum of users, and that generally speaking, people don’t like using software. The patterns we follow when operating software end up shaping our thinking, and as we move into a world dominated by conversational interfaces, it’s important to consider the way these systems are intertwined with our minds. Don’t miss this eye-opening episode about the future of project management. Learn more about creating and orchestrating AI agents to streamline your business operations: https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=matt_alston_episode&utm_content=1 Article, “Everybody hates Workday”: businessinsider.com/everyone-hates-workday-human-resources-customer-service-software-fortune-500-2024-5 Learn more about Matt Alston: mattalston.com. #AIPodcast #InvisibleMachines #AI #ArtificialIntelligence #ConversationalAI #AIAgents #UXDesign #Workday #ProjectManagement #FutureOfWork #UserExperience #SoftwareDevelopment #TechInsights

As AI agents continue to remake the way we communicate with machines, what will become of SaaS companies? In this episode, Robb and Josh are joined by Janelle Teng, Vice President at Bessemer Venture Partners’ San Francisco office, who recently noted that “2024 has not been kind to SaaS companies” on her Next Big Teng blog. A Stanford scientist and former product manager at Salesforce, Janelle explains why she is bullish on the multi-agent approach to automation. The trio also discuss the ramification of consumer adoption of AI outpacing enterprises and why startups have a clear advantage in this moment. Discover how to design and orchestrate conversational AI agents for your employees and customers: https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=janelle_teng_episode&utm_content=1 Read Jenelle’s insights at nextbigteng.substack.com. #AIPodcast #InvisibleMachines #AI #ArtificialIntelligence #ConversationalAI #AIAgents #SaaS #Automation #TechTrends #Innovation #BusinessStrategy #AIstartups #VC #AIcapital

Sophie Bushwick is a regular contributor to Science Friday on NPR and has previously worked for Scientific American and Popular Science. As the Senior News Editor at New Scientist, she joined Robb and Josh in exploring anthropomorphism and AI. Sophie’s work reminds us that our introduction to pocket computers came with the heavily anthropomorphized Tamagotchi pets of the late '90s. As we head into the era of conversational machines, Sophie brings her insights to a conversation about the pros and cons of making them human-like across a whole range of scenarios, including those geared toward productivity and entertainment. The correlations and similarities between corporations and AI pose both ethical considerations as well as design challenges, and this discussion draws on Sophie’s extensive background in technology reporting to look for answers. Learn about orchestrating conversational AI agents for your team: https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=sophie_bushwick_episode&utm_content=1 See more of Sophie’s work at sophiebushwick.com #AIPodcast #InvisibleMachines #AI #ArtificialIntelligence #ConversationalAI #AIAgents #TechInnovation #DigitalExperience #TechJournalism #NewScientist #TechEthics #FutureOfAI

Micro UIs are powerful interfaces built on-the-fly by. We've talked about micro UIs a lot on this podcast, as they are a critical component of AI agents, adding graphical functionalities to an automated conversational experience. Micro UIs let AI agents show users interactive elements—like maps, secure payment interfaces, dynamic graphs, and explainer videos—rather than just describing them. In this episode, we're joined by Cole Gentile, Solutions Designer at OneReach.ai, to demonstrate micro UIs in action. Create and orchestrate conversational AI agents: https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=micro_uis_episode&utm_content=1 Number of monthly active WeChat users from 1st quarter 2014 to 1st quarter 2024: https://www.statista.com/statistics/255778/number-of-active-wechat-messenger-accounts "Organizational AGI is Coming — Most Companies Aren’t Prepared," an article by Robb Wilson, Co-Founder and CEO of OneReach.ai and Co-Author of the WSJ bestseller “Age of Invisible Machines”: https://www.intelligentcio.com/north-america/2024/02/28/organizational-agi-is-coming-most-companies-arent-prepared/ #AIPodcast #AI #ArtificialIntelligence #MicroUIs #ConversationalAI #AIAgents #UserExperience #AIIntegration #TechInnovation #DigitalExperience #UXDesign #invisiblemachines

There are many lenses through which we can view the world, and that's especially true when considering the technologies associated with artificial intelligence. In this episode, James Bridle, author of Ways of Being, joins to explore a multitude of perspectives relating to our ongoing relationship with technology. James’ book explores the interplay between animals, plants, and machines in the search for planetary intelligence. James offers a broad vision of "thinking" systems that draws from biology, physics, and computation and spurs an investigation of what a corporation is and could become. Robb, Josh, and James have a dynamic discussion, trying on various lenses for viewing intelligence and uncovering new ideas about technology along the way. Learn about orchestrating conversational AI agents for your team: https://onereach.ai/ai-agents?utm_source=soundcloud&utm_medium=social&utm_campaign=intelligence_around_us_episode&utm_content=1 Get James' book, Ways of Being (Farrar, Straus and Giroux, 2022): https://us.macmillan.com/books/9780374601119/waysofbeing Learn more about James Bridle and their fascinating work: http://jamesbridle.com #AIPodcast #AI #ArtificialIntelligence #WaysOfBeing #PlanetaryIntelligence #Technology #Innovation #ConversationalAI #MachineLearning #TechDiscussion #AIAgents #invisiblemachines

We're rounding out our deep dive on organizational AGI with Aaron De Smet, a Senior Partner at McKinsey & Company who helped identify "The keys to organizational agility" with colleagues back in 2015. As we discussed in our first episode on organizational AGI, agility is a key component to making the journey feasible. Aaron has been exploring organizational AGI for years and connects the dots between organizational longevity and the technologies associated with AI. This conversation examines the ways our very idea of work is steeped in outdated beliefs and strategies from the industrial revolution and how companies that will survive and thrive in this new era will have to reshape themselves. Learn more about how to create and orchestrate AI agents: https://onereach.ai/ai-agents?utm_source=soundcloud&utm_medium=social&utm_campaign=agi_in_organizational_agility&utm_content=1 Jim Collins, BHAG: https://www.jimcollins.com/concepts/bhag.html The Friction Project by Robert I. Sutton and Huggy Rao: https://www.bobsutton.net/book/the-friction-project/ To learn more about our bestselling book that began the conversation we continue in this podcast: https://onereach.ai/invisiblemachines/ #OAGI #AGI #singularity #LLMs #agile #corporatelongevity #longevity #AIagent #genai #McKinsey #invisiblemachines

We're entering an age when software will be written on-the-fly, by machines, to meet individual needs—an era of ephemeral applications. This will have a massive impact on the emergence of artificial general intelligence (also called AGI or singularity) and Ben Goertzel returns for a lively discussion about the scope of this dawning era. Ben helped to popularize the term singularity and, as the founder and CEO of SingularityNET (https://singularitynet.io/), has long been working to democratize access to artificial intelligence. As he points out in this episode, "AI that can write code, this is the key to the singularity." Packed with food for thought as well as actionable ideas, this is a hard-hitting episode that expands on ideas central to organizational AGI. You can watch this episode on YouTube: https://onereach.ai/ai-agents/?utm_source=youtube&utm_medium=social&utm_campaign=ephemeral_apps_and_agi_episode&utm_content=1 To learn more about OAGI and try AI agent demos visit https://onereach.ai/ #AI #AIagents #singularity #AGI #OAGI #Goertzel #LLMs #GraphDB

How do AI agents fit into a strategy for increasing a business' longevity? Imagine having a conversational operating system for your organization that was always learning. The advanced orchestration of AI agents can create a broader technology ecosystem that sets a trajectory for organizational AGI. Whereas artificial general intelligence, or AGI, refers to a system of artificial intelligence that meets or surpasses human capabilities across a whole range of cognitive tasks. organizational AGI seeks to create the general intelligence it takes to run vast portions of a business. Robb Wilson, CEO and co-founder of OneReach.ai, coined the term OAGI and is joined by Josh Tyson, andExec Producer Elias Parker for a forward-looking exploration of organizational AGI. Create and orchestrate conversational AI agents: https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=tanmay_bakshi_episode&utm_content=1 #AI #AIagents #OAGI #AGI #generativeAI #LLMs #UX #AIproducts #conversationalAI #AIforgood #Skynetnotyet

In April, our co-host Robb Wilson was asked to join Jess Larsen on the Innovation & Leadership podcast to discuss AI agents and taking an agentic approach to workflow automation at an organizational level. As AI agents take center stage, we're reposting this conversation here to spread the word on the pitfalls orgs can avoid—and the best practices they can follow. Robb shares his hard-wrought lessons in AI adoption, including how to foster a culture of innovation by starting small, iterating rapidly, and scaling successfully. You can learn more about taking an agentic approach to automating your workflows and processes from OneReach.ai: https://onereach.ai/ai-agents/?utm_source=youtube&utm_medium=social&utm_campaign=bonus_episode&utm_content=1 This episode was originally published by the Innovation and Leadership podcast with Jess Larson. You can find their show wherever you listen to podcasts, or here: https://www.jesslarsen.net/ #ai #aiagents #agentic #hyperautomation #agi #singularity #invisiblemachines #innovation #leadership #conversationalai #ux #technology

Tanmay Bakshi is a technology wunderkind. He started coding when he was only four years old and his first iOS app was released just five years later, when he was nine. An autodidact and deeply curious technologist, Tanmay works as an AI and application architect for IBM, where he's been involved with ongoing automation efforts with McDonald's. Tanmay joins Robb and Josh for an exploration of anthropomorphism, user experience, and the flexibility required to succeed with the shifting technologies associated with conversational AI. Don't miss a practical and enlightening discussion with this brilliant young mind. Create and orchestrate conversational AI agents: https://onereach.ai/ai-agents/?utm_source=soundcloud&utm_medium=social&utm_campaign=tanmay_bakshi_episode&utm_content=1

Journey into the innovative mind of Tom Gruber, co-founder of Siri and Chief AI Strategy Officer of Sherpa.ai. Robb and Josh welcome Tom for an enlightening exploration of humanistic AI—systems that augment and collaborate with humans, rather than replacing or competing with them. Using federated machine learning, Tom is working with Sherpa.ai to train advanced generative models on data in ways that maximize privacy and security. This creates opportunities to create safer personalized experiences, which the trio discusses along with exploring the value of designing around use cases related to accessibility. Check out Tom's website: https://tomgruber.org/

Greg Vert, Principal and HR Transformation Leader at Deloitte, returns to Invisible Machines to discuss the ways AI agents are changing the way enterprises approach HR. Building on the conversation they had in back in season one—in the wake of OpenAI's release of ChatGPT— Robb and Josh invite Greg to explore how the simple idea of AI as the UI will launch widespread systemic change. They also talk about how intentionality and empathy can foster better automated experiences for employees as large companies move to integrate the technologies associated with conversational AI.

Legendary tech journalist Kara Swisher joins Robb and Josh for a discussion about the early days of Silicon Valley and the shape of things to come. Her Boom Town column in The Wall Street Journal covered the early days of the internet, giving her access to key players like Marc Andreessen, Steve Jobs, Bill Gates, Jeff Bezos, Sheryl Sandberg, and Mark Zuckerberg. Swisher joins Robb and Josh to share insights from her new memoir, Burn Book, which reveals the tangled relationships between tech's largest power brokers from the vantage point of an embedded reporter. This episode offers brisk contemplations on how AI will impact business and design.

Learn about the inner workings of AI agents by watching conversational experiences in action. Annie Harshberger, Lead Experience Architect at OneReach.ai (https://onereach.ai/) takes Robb and Josh through an interactive demo of AI agents swarming together to automate complex scheduling requests. Annie has designed hundreds of conversational experiences orchestrating generative AI and other tools. Here, she shares insights into the design process as well as the coordinated effort taking place behind the scenes. This episode provides a crucial perspective for anyone trying to understand how AI agents can scale across an organization.