Stay ConnectedThe Next Industrial Revolution is Already Here
Digital Disruption is where industry leaders and experts share insights on leveraging technology to build the organizations of the future.
As intelligent technologies reshape our lives and our livelihoods, we speak with the thinkers, the doers and innovators who will help us predict and harness this disruption. Join us as we explore how to adapt to and harness digital transformation.
Copyright: © Info-Tech Research Group
Is AI really replacing software engineers, or just changing how they work?
On this episode of Digital Disruption, we’re joined by Bala Muthiah, Director of Engineering at Lyft.
Bala sits down with Geoff to cut through the hype around AI in software development and explain what’s actually changing inside high-performing engineering teams and what that means for the future of work. From vibe coding and AI-powered prototyping to production-ready systems, productivity gains, and the reality behind 10x (or 100x) engineer claims, Bala shares a grounded perspective on why true improvements are closer to 10–20%, not exponential overnight disruption. They discuss engineering leadership in the AI era, bridging skeptics and evangelists, why value creation matters more than lines of code, the importance of customization over out-of-the-box AI, data privacy and governance responsibilities, the growing digital divide, and the critical role of curiosity, culture, and trust in building modern tech teams.
Bala is a technology leader who builds high-performing teams and AI that enhances human connection. Beyond his technical leadership, he serves as a startup advisor and served as an advisory board member at Defy Ventures (nonprofit focused on prison reform), reflecting his belief that community impact and innovation should grow together. He emphasizes that AI with humans in the forefront shapes everything he does. AI. He promotes positive aspects of AI while recognizing that leaders must guide its development responsibly.
In this episode:
00:00 Intro
00:57 Why this is the most pivotal moment in tech
02:21 Bridging the AI dreamers and skeptics
03:18 Productivity vs. value creation
04:44 Vibe Coding: Hype vs. reality
05:27 Democratizing software development
06:09 Prototyping vs. production code
08:17 Will AI reduce the need for engineers?
12:25 What engineers should focus on now
13:59 Curiosity as a core engineering trait
15:34 Why engineers must be close to customers
17:28 Feature slop & intentionality
20:39 Lyft’s real-time AI design workflow (cursor example)
23:32 When AI is (and isn’t) truly real-time
25:18 Custom AI vs. out-of-the-box tools
26:55 Data ethics, privacy & governance in ai
29:04 A framework for sensitive data
31:18 Why leaders must act before regulation
32:38 AI Hype: Utopia vs. doomsday narratives
36:23 Culture as a competitive advantage
38:55 What makes a great engineering leader
40:42 Common mistakes new tech managers make
45:19 From “sell” to “tell”
47:55 Leading hybrid & remote engineering teams
49:46 The 10x (or 100x?) engineer debate
53:29 Advice for young engineers
55:23 The future of work
56:55 Bridging the digital divide
58:51 “Give Before You Take” philosophy
Connect with Bala:
LinkedIn: https://www.linkedin.com/in/balaarjunan/
X: https://x.com/balaarjunan
Our links:
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast
Follow us on YouTube: https://www.youtube.com/@InfoTechRG
What does it actually take to lead in the age of AI?
On this episode of Digital Disruption, we’re joined by Deborah Liu, former CEO of Ancestry and former VP of Facebook Marketplace at Meta.
Deborah joins Geoff to share a candid, practical look at modern leadership in 2026. Drawing on her experience scaling billion-user platforms and transforming legacy organizations, she explains why “adding AI” isn’t a strategy and what it truly means to build an AI-native company.
They unpack Facebook’s mobile-first pivot and what it teaches about leading through disruption, why adaptability may be the most important executive skill of the next decade, and how CEOs should think about AI governance, security, and enterprise guardrails. Deborah also discusses building with a founder mindset inside large organizations and creating a culture where innovation comes from the bottom up.
This conversation also explores the human side of leadership and why communication makes up 80% of the job.
Deborah was most recently President and CEO of Ancestry, where she brought the legacy company into its next phase of growth. In her prior role at Meta, she turned persistence into a platform. The idea for Facebook Marketplace came to her during her first interview, though it took six years of strategic thinking and tenacious advocacy to build what would become a global marketplace serving over a billion people. She also architected Facebook’s first mobile ad products and payments infrastructure, proving that the most powerful solutions emerge when you connect the right people, ideas, and opportunities. Her 20+ years in tech began with integration work at PayPal and eBay — complex projects that taught her how to see the connections others miss.
In this video:
00:00 Intro
01:00 What Being a CEO Means in 2026
06:30 Rebuilding a legacy company for the AI era
07:20 Facebook’s mobile-first pivot (stock price crisis)
10:45 The power of top-down buy-in
12:00 Big bets vs incremental change
15:00 The “Future Us” decision-making framework
19:35 How to build great products
21:00 Fall in love with the problem, not the solution
22:45 AI: Blessing or curse for product teams?
24:30 AI governance, security & data risks
26:45 Are developers becoming obsolete?
28:30 Why senior engineers are more valuable in AI
30:00 Should CEOs own AI strategy?
34:30 Magic wand dinners & listening as a leader
36:00 Remote work vs in-person culture
40:00 Breaking the CEO archetype
44:00 Failure as a career advantage
47:00 Communication is 80% of leadership
51:00 Why experts often fail as managers
53:30 Building a culture of innovation
58:00 Scaling infrastructure to unlock product velocity
1:10:00 Parenthood & career stalls (the honest truth)
1:15:00 Networking for introverts
1:20:00 Adaptability: The most important skill of the next decade
1:21:30 Closing thoughts
Connect with Deborah:
LinkedIn: https://www.linkedin.com/in/deborahliu/
X: https://x.com/debliu_
Our links:
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast
Follow us on YouTube: https://www.youtube.com/@InfoTechRG
Is AI actually going to replace developers? Or is the hype getting ahead of reality?
On this episode of Digital Disruption, we’re joined by Sebastian Raschka, AI Research Engineer and author.
Sebastian Raschka sits down with Geoff Nielson to unpack the real state of Large Language Models (LLMs) in 2026. As an LLM research engineer, Sebastian bridges deep technical expertise with practical, real-world AI implementation. In this conversation, he cuts through AI hype to focus on what’s actually achievable with modern LLMs, reasoning models, reinforcement learning, and inference scaling and where the limitations still exist. Sebastian explains why most companies should not build a large language model from scratch, but also why understanding the fundamentals may be one of the most important investments technology leaders can make.
This conversation breaks down:
◼️Why coding is currently the strongest LLM use case
◼️Why “reasoning” models still fail simple tasks like counting letters in “strawberry”
◼️The reality behind Math Olympiad gold-level AI claims
◼️The true cost of training large models (millions in GPU compute)
◼️The privacy risks of uploading proprietary data into APIs
◼️How enterprises should think about fine-tuning vs API-based prompting
◼️Why benchmarks and leaderboards can be misleading
Sebastian Raschka has over a decade of experience in artificial intelligence and machine learning. His work bridges academia and industry, serving as a Senior Engineer at Lightning AI and as a faculty member at the University of Wisconsin–Madison. He is the author of Build a Large Language Model from Scratch and is widely recognized for his practical, code-driven approach to AI education and research. His expertise lies in LLM research, transformer architectures, reinforcement learning, and the development of high-performance AI systems, with a strong focus on real-world implementation.
In this video:
00:00 Intro
01:23 The Rise of “Reasoning” and Thinking Models
03:06 Inference scaling vs training scaling
06:17 What LLMs are actually good (and bad) at
07:09 The “Strawberry” Problem and Reasoning Limits
09:00 Tool use and why LLMs don’t need to count letters
10:20 Math Olympiads & self-refinement techniques
12:01 Why coding is the killer use case
13:28 Does AI make developers obsolete?
18:02 The Reality of 10x developer productivity claims
21:43 Generalist vs specialized models
23:53 Build from scratch vs fine-tune vs API prompting
25:01The true cost of training an LLM
27:33 API customization vs owning your model
29:12 Who should build an LLM from scratch?
33:16 Data requirements & why you need terabytes
34:28 Enterprise data challenges
35:40 Retrieval-Augmented Generation (RAG) explained
46:05 Multi-agent systems & tool calling
49:48 The problem with LLM benchmarks
55:43 Using LLMs as judges
58:00 Biggest misconceptions about LLMs
1:04:19 Reinforcement learning with verifiable rewards
1:06:32 Advice for technology leaders
1:11:48 Escaping AI hype through fundamentals
Connect with Sebastian:
LinkedIn: https://www.linkedin.com/in/sebastianraschka/
X: https://x.com/rasbt
Connect with Sebastian:
LinkedIn: https://www.linkedin.com/in/sebastianraschka/
X: https://x.com/rasbt
Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG
Is artificial intelligence strengthening democracy or quietly reshaping power in ways we’re not prepared for?
On this episode of Digital Disruption, we’re joined by world-renowned security technologist and author Bruce Schneier.
Bruce is described by the Economist as a "security guru," he is best known as a refreshingly candid and lucid security critic and commentator. He works at the intersection of security, technology, and people. and has been writing about security issues on his blog since 2004 and monthly newsletter since 1998. He is a fellow and lecturer at Harvard’s Kennedy School, a board member of the Electronic Frontier Foundation, and the Chief of Security Architecture at Inrupt, Inc.
Bruce joins Geoff to explore one of the most important questions: Will AI strengthen democracy or quietly undermine it? From government services and public policy to cybersecurity, labor, and the justice system, Bruce breaks down how artificial intelligence acts as a power-magnifying technology, amplifying both the best and worst intentions of those who use it. Drawing from real-world examples in Germany, Brazil, Japan, France, Canada, and the United States, this conversation examines where AI is already reshaping democratic institutions. He also outlines four concrete strategies for steering AI toward democratic outcomes: resisting harmful uses, reforming the AI ecosystem, responsibly deploying AI where it helps, and fixing the underlying societal problems AI tends to amplify.
This conversation also dives into:
◼️How AI can improve government efficiency without replacing human judgment
◼️The risks of AI concentration in the hands of powerful corporations and governments
◼️AI’s impact on work, jobs, and hiring in an era of automation
◼️The role of regulation, reform, and resistance in shaping AI’s future
◼️Whether AI will ultimately democratize power or reinforce inequality
In this video:
00:00 Intro
02:10 AI as a power-magnifying technology
05:00 The four ways AI can help or harm democracy
07:20 Real-World AI use in elections and civic engagement (Germany & Japan)
10:00 AI in courts, justice systems, and public administration (Brazil)
12:30 Journalism, transparency, and AI as an investigative tool
15:00 Human-in-the-loop: Why oversight still matters
18:20 Designing AI that can say “yes” but not “no”
21:00 AI, Work, hiring, and the automation arms race
24:00 Fraud, trust, and remote work in the AI Era
27:00 Does AI democratize power or reinforce it?
30:00 Trustworthy AI vs. “good enough” AI
33:00 When AI is forced on citizens without choice
36:00 Regulation, markets, and the myth of the AI arms race
39:00 What leaders should ask before deploying AI
42:00 Jobs, backlash, and AI-driven inequality
44:00 Lessons from blockchain and past tech hype cycles
48:00 AI, cybersecurity, and the attacker vs. defender balance
52:00 The future of AI skills and careers
55:00 Steering AI toward democracy
Connect with Bruce:
Facebook: https://www.facebook.com/bruce.schneier
Our links:
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast
Follow us on YouTube: https://www.youtube.com/@InfoTechRG
What does the future of AI really look like as we head toward 2026, beyond the hype, headlines, and fear-driven narratives?
On this episode of Digital Disruption, we’re joined by internationally recognized advisor, speaker, and researcher on AI strategy, Walter Pasquarelli.
Walter is one of the world’s leading voices on ethical and strategic AI. He has advised governments, global institutions, and leading technology companies on AI governance, policy, and readiness, and brings a grounded perspective on what it really takes to lead in the age of artificial intelligence.
Walter joins Geoff to unpack what’s actually happening with artificial intelligence and what most media coverage gets wrong. He brings a 360-degree view of AI adoption and how AI is moving out of boardrooms and into everyday life, reshaping how people think, decide, work, and relate to technology.
This conversation dives into:
Why AI adoption is accelerating among consumers not just enterprises
The rise of AI companions, humanoid robots, and everyday AI use
The real risks behind automation anxiety, data privacy, and emotional dependency
What “AI psychosis” is and why it’s a growing concern
Why AI literacy matters more than fear, hype, or blind regulation
How AI is reshaping work, leadership, and global competitiveness
In this video:
00:00 Intro
01:14 AI’s trajectory toward 2026
02:09 AI moves from boardrooms to living rooms
03:16 Humanoid robots: From screens to physical bodies
05:35 Household robots, prestige, and consumer adoption
07:33 Military, drones, and high-stakes AI applications
08:46 Self-driving cars as robotics, not just vehicles
13:49 Automation anxiety and ethical reality
18:30 Shifting authority from humans to algorithms
19:58 Power concentration and data privacy risks
22:49 AI, mental health, and emotional dependency
28:11 Why regulation alone will always lag
33:25 Business leaders’ biggest AI misconceptions
36:49 Data, talent, and capability gaps
42:18 Estonia, strategy, and digital leadership
44:42 Advising governments: What leaders must do
49:49 AI, sector disruption, and the future of work
53:22 Why top performers benefit most from AI
56:14 Judgment, curation, and human excellence
Connect with Walter:
LinkedIn: https://www.linkedin.com/in/walter-m-pasquarelli/?originalSubdomain=uk
X: https://x.com/waltpasquarelli
Our links:
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast
Follow us on YouTube: https://www.youtube.com/@InfoTechRG
What if AI becomes the most consequential technology in human history?
On this episode of Digital Disruption, we’re joined by Nina Schick, geopolitical analyst and one of the world’s leading voices on AI.
Nina Schick is a globally recognized expert on AI, geopolitics, and power. She was among the first to forecast the societal impact of AI-generated content and now leads the conversation on Industrial Intelligence, the idea that AI is not just software, but a geopolitical and industrial transformation.
Nina sits down with Geoff to unpack how intelligence itself is becoming a geopolitical weapon. She explains why we are entering the Age of Intelligence, where non-biological intelligence may soon rival or surpass human intelligence, reshaping economics, warfare, democracy, labor, and global power structures
This conversation goes far beyond AI tools and chatbots. We explore:
Why AGI may arrive sooner than expected
How AI infrastructure and scaling laws are reshaping global power
What AI means for warfare, democracy, and national security
How near-zero-cost intelligence will transform work and leadership
In this episode:
00:00 Intro
01:33 The AI scaling laws accelerating toward AGI
03:09 Excitement vs fear: how disruptive will AI really be?
05:16 Deepfakes, information warfare, and early AI misuse
06:58 AI’s true killer app: scientific discovery
08:49 Intelligence as a utility and the speed of global disruption
10:38 Why AI is becoming the biggest political issue of our time
12:12 Concentration of power and the rise of AI monopolies
14:33 Technology, history, and why power always follows innovation
16:18AI infrastructure, hyperscalers, and trillion-dollar CapEx
19:05 AI as hard power and American technological dominance
21:15 NATO, national security, and autonomous warfare
23:55 The end of American hegemony and the rise of hard power politics
27:36 Democracy vs authoritarianism in the AI race
29:48 Why trivial consumer AI is a strategic failure
35:52 What AI deployment really means for businesses
39:13 The myth of AI tools vs intelligence as a capability
41:41 Will AI actually cause mass layoffs?
46:32 Asset ownership in a world of cheap intelligence
50:24 How AI empowers individuals and emerging economies
52:51 The most important skills for the AI age
55:38 Why being human matters more than ever
56:41 Resilience, risk, and the future
Connect with Nina:
LinkedIn: https://www.linkedin.com/in/ninaschick/
X: https://x.com/NinaDSchick
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast
Follow us on YouTube: https://www.youtube.com/@InfoTechRG
Is the metaverse actually dead or just badly branded?
On this episode of Digital Disruption, we’re joined by Christian Venables, co-founder of Radical Realities.
Christian specializes in immersive technology and AI, staying at the forefront of emerging tools, platforms, and workflows. With a strong foundation in architecture and design, he has transitioned into extended reality (XR), exploring the evolving possibilities of virtual reality (VR), augmented reality (AR), and spatial computing. He is the Co-Founder of Radical Realities, a global immersive studio of creative innovators operating entirely virtually. The studio delivers experiences that transcend the physical world, spanning metaverse development, gaming, AR/VR/MR, CGI, VFX, and AI consultancy. Throughout his career, Christian has led and contributed to immersive projects for globally recognized brands including Coachella, Universal, Disney, Cartier, and Hyundai.
Christian sits down with Geoff to break down why the metaverse will be rebranded and not abandoned. The real future isn’t cartoon avatars or fantasy worlds, but spatial computing, AR glasses, and ambient interfaces that blend seamlessly into everyday life. Despite years of hype, backlash, and false hope, the metaverse may finally be entering its most practical and powerful phase. Christian explains why the term itself may disappear, while the underlying technologies XR, spatial computing, AI-driven 3D design, and wearable AR glasses, are already reshaping how we work, learn, design, and collaborate. From Meta Ray-Ban display glasses and neural wristbands to Gravity Sketch, Unreal Engine, and AI-assisted worldbuilding; This conversation explores how immersive computing is moving beyond gimmicks into real-world utility, especially across architecture, engineering, education, and the creative industries.
In this video:
00:00 Intro
03:00 Is the metaverse dead or just misbranded?
06:00 Spatial computing vs virtual worlds
09:00 Why AR glasses matter more than headsets
12:00 Smart glasses: why this wave is different
15:00 Neural wristbands and gesture-based control
18:00 How quickly humans become dependent on tech
21:00 The split between human-made and AI-generated culture
24:00 Augmenting creativity instead of replacing it
27:00 Designing entirely inside VR
30:00 Gravity Sketch: true 3D creation explained
34:00 Why spatial collaboration beats screens
38:00 Real-world use cases: architecture & manufacturing
42:00 Why mouse and keyboard are reaching their limits
47:00 AI + XR: generating worlds in real time
52:00 What needs to happen before immersive tech scales
56:00 Should immersive computing be back on our radar?
Connect with Christian:
LinkedIn: https://www.linkedin.com/in/christian-venables-74542836/
Instagram: https://www.instagram.com/csavenables/
X: https://x.com/Csavenables
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcast
Follow us on YouTube: https://www.youtube.com/@InfoTechRG
What happens when the people building artificial intelligence quietly believe it might destroy us?
On this episode of Digital Disruption, we’re joined by Gregory Warner, Peabody Award–winning journalist, former NPR correspondent, and host of the hit AI podcast The Last Invention.
Gregory Warner is a versatile journalist and podcaster. He has been recognized with a Peabody Award and other awards from organizations like Edward R. Murrow, New York Festivals, AP, and PRNDI. Warner's career includes serving as an East Africa correspondent, where he covered the region's economic growth and terrorism threats. He has also worked as a senior reporter for American Public Media's Marketplace, focusing on the economics of American health care. His work has been recognized with a Best News Feature award from the Third Coast International Audio Festival.
Gregory sits down with Geoff for an honest conversation about the AI race unfolding today. After years spent interviewing the architects, skeptics, and true believers behind advanced AI systems, Gregory has come away with an unsettling insight: the same people racing to build more powerful models are often the most worried about where this technology is heading. This episode explores whether we’re already living inside the AI risk window, why AI safety may be even harder than nuclear safety, and why Silicon Valley’s “move fast and fix later” mindset may not apply to superintelligence. It also examines the growing philosophical divide between AI doomers and AI accelerationists. This conversation goes far beyond chatbots and job-loss headlines. It asks a deeper question few are willing to confront: are we building something we can’t control and, doing it anyway?
In this video:
00:00 Intro
03:00 AI models that already behave like elite hackers
05:00 Why the AI risk window may already be open
06:30 What AI safety actually means (and why it’s so hard)
12:00 Human-in-the-loop: safety feature or illusion?
15:00 AI as an alien intelligence, not a human one
19:00 The Silicon Valley AI arms race explained
21:00 OpenAI, DeepMind, Anthropic, xAI: who’s racing and why
25:00 The “Compressed Century” and radical AI optimism
27:00 Can AI actually solve humanity’s biggest problems?
33:00 Capital, competition, and the pressure to deploy
37:00 Is AI more dangerous than nuclear weapons?
39:00 The problem with comparing AI to past technologies
43:00 What happens to human agency in an AI-driven world?
45:00 How AI reshapes creativity, journalism, and truth
53:00 The quiet assumptions built into AI systems
55:00 Why optimism and fear both miss the full picture
59:00 What responsibility do users have?
01:01:00 The most important question we’re not asking about AI
Connect with Gregory:LinkedIn: https://www.linkedin.com/in/radiogrego/Instagram: https://www.instagram.com/radiogrego/
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG
What happens to jobs, money, and meaning when intelligence becomes cheaper than labor and humans are no longer the smartest ones in the room?
On this episode of Digital Disruption, we’re joined by Emad Mostaque, founder of Stability AI and a leading voice in the global AI revolution.
Emad Mostaque is a businessman, mathematician, and former hedge fund manager. He is the co-founder and was CEO of Stability AI, the company behind the popular text-to-image generator Stable Diffusion. With a master’s degree in mathematics and computer science from Oxford, Emad Mostaque has significantly contributed to artificial intelligence. His vision for Stability AI was to “build the foundation to activate humanity’s potential” through open-source generative AI.
Emad sits down with Geoff to explore a future that may arrive far sooner than most people expect. He argues that within the next 1,000 days, artificial intelligence will fundamentally reshape the global economy, upending work, capitalism, enterprise software, and even how we define human value. Drawing from his book The Last Economy, Emad lays out a stark and deeply thought-provoking framework for understanding what comes next when cognitive labor becomes economically irrelevant. This conversation explores the inevitabilities of exponential AI progress, including why intelligence is becoming “too cheap to measure,” how AI agents will replace many jobs done behind a screen, and the coming shift from human-plus-AI teams to AI-only systems. Beyond the economics, Emad also tackles the human question: where meaning comes from in a world where AI outperforms us at most cognitive tasks. He argues that resilience in the AI age will depend less on job titles and more on community, networks, relationships, and how deeply individuals engage with the technology itself.
In this video:
00:00 Intro
04:30 What is “The Last Economy”?
08:45 Intelligence becomes too cheap to measure
13:30 The three possible AI futures
18:00 Are humans becoming the weakest link?
22:15 The rise of economic agents
27:00 Digital doubles and the end of white-collar work
31:45 Enterprises racing toward zero employees
36:30 Why AI is cheaper than human labor (by orders of magnitude)
41:15 Software, SaaS, and the collapse of enterprise moats
46:00 The internet after AI agents
50:15 Who controls the “AI next to you”?
54:30 Open-Source vs Big Tech AI
58:45 The first one-person billion-dollar company
1:03:30 What humans are still for
1:07:00 How to prepare for the AI economy now
Connect with Emad:
LinkedIn: https://www.linkedin.com/in/emad-mostaque-9840ba274/?originalSubdomain=uk
X: https://x.com/EMostaque
Facebook: https://www.facebook.com/mostaquee/
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG
Is artificial intelligence humanity’s greatest salvation, or the most dangerous force we’ve ever unleashed?
Artificial intelligence is no longer a future concept, it’s a force already reshaping geopolitics, economics, warfare, and the human experience itself. In this year in review episode of Digital Disruption, we bring together the most provocative, conflicting, and urgent ideas from this past year to confront the biggest question of our time: What does AI actually mean for humanity’s future?
Across more than 40 conversations with leading technologists, journalists, researchers, and futurists, one theme dominated every debate, AI. Some guests argue that artificial general intelligence (AGI) and superintelligence could trigger an extinction-level event. Others believe AI may usher in an era of total abundance, solving humanity’s hardest problems. And still others claim today’s AI hype is little more than marketing smoke and mirrors.
This episode puts those worldviews head-to-head.
In this episode:
00:00 The AI singularity is here
05:00 Existential threat or greatest opportunity?
10:00 Why no one agrees on ai’s future
15:00 The race toward AGI and superintelligence
20:00 The control problem nobody has solved
25:00 Intelligence has no morality
30:00 Capitalism, venture capital, and the AI arms race
35:00 Is AI just a marketing illusion?
40:00 Generative AI: Power, limits, and misuse
45:00 Autonomous weapons and modern warfare
50:00 Fear as the driver of dangerous innovation
55:00 Why AI is not like nuclear weapons
1:00:00 The first and second AI dilemmas
1:05:00 Handing decisions over to machines
1:10:00 Collapse, abundance, or course correction?
Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG
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