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.net

shellgame.co/podcast

00:00 - Intro: AI as the Ultimate Confabulation Machine

01:31 - Evan Ratliff & The Shell Game Experiment

03:02 - Why AI Agents Are Given Names & Personalities

04:00 - AI Companionship vs Human Loneliness

05:27 - Personalization vs Privacy Trade-Off in AI

06:30 - Are Humans Training AI Models for Free?

09:20 - Why the AI Debate Is Broken Today

10:56 - “Boring AI” vs Hype: What Actually Matters

12:35 - Meet Kyle: The AI CEO Experiment

14:40 - Memory Drift: How AI Learns & Evolves

17:30 - AI Unpredictability & Organizational Risk

19:00 - AI Doesn’t Think — It Predicts Words

22:09 - Voice Agents, Scams & Call Center Chaos

27:23 - Can You Still Tell AI From Humans?

34:05 - Game Theory, Trust & The Future of AI Systems

47:04 - What AI Won’t Replace & The Value of Humans

54:45 - The Big Question: What Will You Do With Time?

---------- Support our show by supporting our sponsors!

This episode is supported by OneReach.ai

OneReach.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 governance

Book 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

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#shellgame

#agenticai

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#hallucination

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#aistrategy

#voiceai

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.ai

OneReach.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 governance

Book 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

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.ai

Forged 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 governance

Book 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

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.ai

Forged 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 governance

Book 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

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#invisiblemachines

#podcast

#techpodcast

#aipodcast

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, communication

05:07 - 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 + workflows

08:13 - Unintended consequences: jobs, bias, discrimination

09:47 - The bigger question: new value creation (not just replacement)

10:33 - Upskilling: writing and opportunity expansion for millions

12:30 - "No more excuses”: using ChatGPT for clearer communication

14:50 - Social media déjà vu: noise, polarization, participation

17:04 - Intermediaries changed: self-publishing, music, podcasting

19:06 - AI commoditization: $600 models + implications for OpenAI

22:36 - Where the money is: compute, data, and complements (not predictions)---------- Support our show by supporting our sponsors!

This episode is supported by OneReach.ai

Forged 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 governance

Book 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

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.ai

Forged 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 governance

Chapters

0:00 — Who is Joshua Gans + why “Prediction Machines” still matters

1:34 — AI as prediction (and why that framing wins)

2:45 — The “AI startup” wave + the deep learning shift

3:25 — AI is computational statistics, not magic

4:22 — Why “Artificial Intelligence” is a misleading label

6:02 — Econ lens: what becomes cheaper + abundant

6:43 — Cheaper prediction: fraud → self-driving

7:47 — ChatGPT/LLMs: next-token prediction, new apps

9:16 — LLMs as decision support (info → output)

10:43 — Rules vs decisions (weather app example)

12:45 — Better decisions: error costs + human judgment

13:43 — Airports: “cathedrals to uncertainty”

16:02 — Hospitals: capacity is an information problem

18:07 — Digital twins: avatars, meetings, AI “TA”

22:06 — “Ship then shop”: Amazon, prediction, logistics + lock-in

Request 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

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.ai

Forged 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 governance

Request 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/4hwX0a5

Chapters -

0:00 – Welcome to Invisible Machines

1:28 – Why AI Agents Fail Without a Source of Truth

2:34 – Canonical Knowledge Is More Than Feeding Data to an LLM

3:16 – LLMs Are Good at Language, Not Truth

4:16 – The Convergence of Governance and Generative AI

5:48 – Implicit vs Explicit Knowledge Explained

7:31 – Why Accuracy Breaks Down in AI

8:37 – The Real Launchpad for AI: Get the Facts Right

9:42 – Alignment, Not Intelligence, Is the Hard Problem

10:53 – Semantic Layers: Teaching Machines Meaning

12:38 – LLMs Are Interfaces, Not Systems

14:26 – Routing Questions: Inference vs Deterministic Answers

16:21 – Canonical Knowledge Requires Human Ownership

18:16 – There Is No ROI for Data (It’s the Foundation)

23:59 – From Use Cases to Systems Thinking

Episode Credits:

Robb Wilson - Host

Josh Tyson - Host

Elias Parker - Executive Producer

Vishal Menon - Producer

Maksym Zlydar - Audio/Video Editor

Mykhailo Lytvynov - Audio/Video Editor

Eugen Petruk - Graphic Design

Alla 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

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.ai

Forged 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 governance

Request 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

Check out Erika’s podcast, “Flower Power Hour”: https://open.spotify.com/show/15BTSl9fWiH3QTmVAYj6Fd

Learn more about Erika at

www.helloerikaflowers.com/

0:09 - NASA AI Readiness Explained | Erica Flowers on Agentic AI & Runtimes

1:48 - Why the “Big Sexy AI Use Case” Is a Lie

2:42 - AI Didn’t Start with ChatGPT: What NASA Has Been Doing for 30 Years

4:24 - Why AI Runtimes Matter More Than Any Single Use Case

5:21 - The Hidden AI Problem: Legacy Data, Silos & Organizational Reality

7:13 - The Boring AI That Actually Works (And Why Enterprises Ignore It)

8:10 - The AI Arms Race Nobody Understands

9:22 - AI Scaffolding Explained: The Metaphor Every Leader Needs to Hear

12:12 - AI Readiness Is Cultural Change, Not Just Technology

14:38 - From Parking Lots to Companies: How Simple AI Agents Quietly Scale

17:01 - Why Most AI Features Feel Useless in Real Products

19:08 - Stop Automating Spreadsheets: Ask AI the Question Instead

25:06 - The Post-Software Era: Why Designers Aren’t Enough Anymore

28:33 - UI Is a Medium: How AI Will Absorb Interfaces Entirely

46:24 - Infinite Content, Human Creativity, and the Future After AI

---------- Support our show by supporting our sponsors!

This episode is supported by OneReach.ai

Forged 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 governance

Request 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

00:00 – Introduction to 2026 Agentic AI Predictions

01:12 – Outbound AI Arrives

02:30 – Scaling vs. Inventing AI

04:55 – Ben Goertzel Preview

06:45 – Scrappy Innovation in AI

08:20 – Invisible Work Explained

10:00 – Agents Job-Hunting for You

11:15 – Bottom-Up AI Adoption

13:10 – Layoffs, Knowledge Loss & AI

15:00 – The “Fake AI Expert” Problem

16:25 – Why Runtimes Matter

18:00 – What IDWs Actually Do

20:00 – Canonical Knowledge for Agents

28:20 – Invisible Work Demo

37:10 – Simulation Becomes the Next Frontier

---------- Support our show by supporting our sponsors!

This episode is supported by OneReach.ai

Forged 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 models
• Build and deploy intelligent agents fast
• Create guardrails for organizational alignment
• Enterprise-grade security and governance



Request 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

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#DigitalTransformation

#AI2026

#2026Predictions

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#AIRuntime



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 ASML

01:12 - How ASML Makes the World’s Chips

03:20 - Chip Supply Chain Fragility

04:55 - Marc Hijink’s ASML Reporting

07:00 - The Hidden Hardware Layer

08:20 - Chips & Geopolitics

11:00 - Chips Are Physical Matter

12:40 - Error Correction & Precision

14:30 - ASML x TSMC Partnership

16:45 - ASML’s Chaos Culture

19:40 - Dutch vs. German Engineering

28:20 - Moore’s Law Goes 3D

32:10 - ASML + Mistral AI

40:00 - Why ASML Can’t Be Copied

49:00 - How ASML Prioritizes Orders

55:10 - Agentic AI & Complexity

1:02:00 - 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 models
• Build and deploy intelligent agents fast
• Create guardrails for organizational alignment
• Enterprise-grade security and governance
• Avoid 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 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 models
• Build and deploy intelligent agents fast
• Create guardrails for organizational alignment
• Enterprise-grade security and governance
• Avoid 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

Chapters -

00:00 - Intro and episode setup

00:33 - Meet Omar Santos and his role in AI security

01:00 - Security as the new programming

02:20 - Coalition for Secure AI and security as a new language

04:45 - Identity, access, and AI agents

06:09 - Scaling models and mega data centers

09:04 - Training vs inference and the compute explosion

12:54 - Budgets, compute, and hybrid human–AI security teams

15:16 - Checklists, guardrails, and spec-driven development

20:00 - From IDEs to agent swarms and background agents

25:19 - CodeGuard, rules for coding agents, and secure SDLC

32:00 - Why doing nothing is the biggest AI security risk

39:30 - Validating AI, AI safety levels, and open source dilemmas

46:00 - Private networks, insider AI agents, and embedded security

51:00 - 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 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=86dSwjyE3uZGYY8F

Here 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-2025

Chapters -

00:00 - Intro and episode setup

02:10 - Unsung hero moment for GraphQL and agent energy

03:12 - GraphQL basics for APIs in an agent runtime

04:36 - Why GraphQL won - types, tooling, developer velocity

05:20 - API design UX - REST vs GraphQL for developers

06:54 - From developers to builders - laypeople using agents

07:00 - Will the term developer fade - future of dev work

12:28 - Edit over scratch - tools that elevate product taste

15:35 - Personalized small-batch software and 3D-print analogy

17:31 - Agent-personalized apps beyond siloed UIs

18:46 - GraphQL as business language - nouns, verbs, capabilities

29:04 - Deterministic rails vs non-deterministic models in finance

32:01 - Real guardrails with MCP to Agent to GraphQL

51:00 - 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 models
• Build and deploy intelligent agents fast
• Create guardrails for organizational alignment
• Enterprise-grade security and governance
• Avoid 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_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

---------- 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 models
• Create guardrails for organizational alignment
• Equipped 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 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 Chapters

0:00 — Intro: Josh & Rob set the stage

0:34 — Guest intro: Brian Solis (ServiceNow futurist, author of Mindshift)

1:07 — Why AI adoption requires self-disruption

1:26 — Aha vs Uh-oh moments with AI

5:30 — Why Brian is called the “CEO Whisperer”

8:30 — Rethinking failure & success (beyond SV mantras)

12:11 — Storytelling as strategy: Disney & Airbnb lessons

21:40 — MindShift: disruption as a deliberate choice

23:10 — Embrace complexity (the VC decision lens)

25:10 — Iteration vs innovation: redefining growth

29:00 — ROI vs “Return on Ignorance” (cost of not acting)

34:01 — Multiple futures & scenario planning

39:08 — Organizational AGI: companies as futurists

43:28 — IKEA case study: automation + augmentation

46:12 — 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 models
• Create guardrails for organizational alignment
• Equipped 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 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 models
• Create guardrails for organizational alignment
• Equipped 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_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, PayPal

1:46 — Galaxy Quest, aliens & how LLMs “learn”

3:46 — When AI gets a wallet: true agency begins

6:42 — Marketing to humans vs marketing to AIs

8:19 — From the information age to the intelligence age

10:25 — Decision hierarchies: bots, assistants & concierge agents

13:05 — Hyper-personalized pricing in the LLM era

17:20 — Merchants vs consumers: who wins when agents decide

19:09 — 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 gatekeeper

54:27 — Micropayments & sub-penny agent-to-agent economies

1:02:04 — PayPal as the “clearing house” of agentic commerce

1:17:16 — Closing thoughts & outro

#InvisibleMachines

#Podcast

#TechPodcast

#AI

#AgenticAI

#AIPodcast

#DigitalTransformation

#AIFirst

#AIAdoption

#TechLeadership

#Commerce

#PayPal

#Innovation

Introduction to neural networks and deep learning (by Cassie) -  https://bit.ly/mfml_113

Cassie 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 models
• Create guardrails for organizational alignment
• Equipped 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_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

---------- 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 models
• Create guardrails for organizational alignment
• Equipped 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=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 models
• With 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 expert

Josh Tyson — Co-host

Vishal Menon — Producer

Mykhailo Lytvynov — Audio/Video Editor & Sound Engineer

Daryna Moskovchuk — Graphic Design

Alla Slesarenko — Copy 

Vira Prykhodko — Web Development 

Elias Parker — Executive Producer

#InvisibleMachines

#Podcast

#TechPodcast

#AI

#AgenticAI

#AIPodcast

#KarenHao

#OpenAI

#AGI

#OAGI

#EmpireOfAI

#AIColonialism

#Anthropomorphism

#FutureOfAI

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 models
• With 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/axLFOhX

Episode Credits

Robb Wilson

Josh Tyson

Vishal Menon - Producer

Mykhailo Lytvynov - Audio/Video Editor & Sound Engineer

Daryna Moskovchuk - Graphic Design

Alla 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

---------- 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 models

Trusted enterprise-grade security

No vendor lock-in

Discover 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

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 models
• Trusted enterprise-grade security
• No vendor lock-in

Discover 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

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/0316743003
• Big 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_Agreement
• World 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 models
• Enterprise-grade security
• No vendor lock-in

Discover 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

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.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

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.html
• DeepSeek, 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 models
• Enterprise-grade security
• No vendor lock-in

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_ed_klaris_2&utm_content=1

#AI

#AIPodcast

#TechPodcast

#InvisibleMachines

#ArtificialIntelligence

#AIAgents

#AgenticAI

#TechInnovation

#GenerativeAI

#CopyrightLaw 

#AILaw

#IntellectualProperty

#AICopyright

#LegalTech

#DigitalRights

#TechLaw

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.org
• Lynn Margulis’s books: https://www.amazon.com/Books-Lynn-Margulis/s?rh=n%3A283155%2Cp_27%3ALynn%2BMargulis
• Conventional evolutionary theory (Neo-Darwinism): https://en.wikipedia.org/wiki/Neo-Darwinism
• Stephen 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/1416544062
• The Invisible Machines episode, "Radically Honest AI with Dr. Anna Lembke": S5E01 Radically Honest AI with Dr. Anna Lembke
• Anna Lemble’s book, “Dopamine Nation: Finding Balance in the Age of Indulgence”: https://www.amazon.com/Dopamine-Nation-Finding-Balance-Indulgence/dp/152474672X
• Richard 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_bk
• Wolfram 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.pdf
• Ray 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/Luddite
• The Invisible Machines episode, “The Intelligence All Around Us” with James Bridle: S4E4 The Intelligence All Around Us
• James 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

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In this episode, we mention:

1. 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 
2. 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/1394321554
3. Dr. 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=1-1
4. Pew 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

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#RadicalHonesty

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#MentalHealth

#TechImpact

#BehavioralScience

#Dopamine

#AnnaLembke

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

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#techpodcast

#invisiblemachines

#ai

#artificialintelligence

#aiagents

#agenticai

#techinnovation

#neuroscience

#activeinference

#machinelearning

#congitivescience

#behavioralscience

#futureofai

#neuroai

#thinkingmachines

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/fiftyone
• A course on Coursera that Voxel51 created called "Hands-on Data Centric Visual AI" —  https://www.coursera.org/learn/hands-on-data-centric-visual-ai

Learn 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 

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#AIinAction

#GenerativeAI

#NoCode

#Automation 

#DigitalTransformation

#AITech

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.html

Learn 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 

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