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

On this episode of Digital Disruption, we’re joined by Josh Browder, founder of DoNotPay.

Josh, also known as the “robot lawyer,” is an entrepreneur and the founder of DoNotPay, often referred to as “the Robin Hood of the Internet.” He created DoNotPay after noticing the disproportionate targeting of elderly and disabled motorists through parking ticket enforcement. Since its launch, DoNotPay has helped UK and New York motorists save an estimated $5 million. Josh has been recognized as one of MIT Technology Review’s “35 Innovators Under 35” and named one of the top legal innovators in America by the Financial Times.

Josh joins Geoff to discuss how AI in law is transforming the legal landscape and driving real-world innovation. From the impact of artificial intelligence on consumer rights, the legal system, and everyday life, this episode explores how AI is being used to help people push back against predatory business practices.

Josh shares how his company, DoNotPay evolved from simple legal templates into sophisticated AI agents capable of negotiating directly with companies and in some cases, even AI vs. AI negotiations with corporate chatbots. The conversation dives into how large organizations profit from consumer friction, dark patterns, and bureaucracy, and how AI can help consumers fight fire with fire.

In this video:

00:00 Intro

01:10 Mission behind DoNotPay

03:00 Why big companies exploit consumer inaction

05:00 Robo Revenge: Fighting spam calls with AI

08:00 From templates to AI chatbots: The evolution of DoNotPay

11:00 AI vs AI: Negotiating bills with corporate chatbots

14:00 Subscription traps, free trials, and dark patterns

16:00 Medical bills, the no surprises act, and AI negotiation

18:45 Property taxes as the next major consumer battleground

20:00 Phone AI agents and real-time negotiation challenges

23:00 Ethical Constraints: Why DoNotPay’s AI never lies

25:00 Passive AI: The future of automatic refunds

27:00 Unclaimed money and forgotten refunds

29:00 Will AI replace lawyers? Legal industry disruption

32:00 AI inside DoNotPay: Running a lean, profitable company

35:00 Training AI models and the new AI job economy

38:00 Bias, truth, and the limits of AI judgment

41:00 Venture capital, scale, and staying independent

44:00 Real stories: Justice, anger, and consumer wins

47:00 Why consumer exploitation isn’t going away

49:00 The future of AI assistants, wearables, and contracts

51:00 Bold predictions: AI, robotics, and human relationships

53:00 Where AI should not be used

Connect with Josh:

LinkedIn: https://www.linkedin.com/in/joshua-browder-b0b573116/

X: https://x.com/Joshuabrowder

Instagram: https://www.instagram.com/joshuabrowder12/

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 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

Are companies preparing for an AI-powered future or reacting out of fear of being left behind?

Looking ahead to 2026, Geoff Nielson and Jeremy Roberts sit down for an unfiltered conversation about artificial intelligence, the economy, and the future of work. As AI hype accelerates across markets, boardrooms, and headlines, they ask the hard questions many leaders and workers are quietly worrying about: Are we in an AI bubble? If so, what happens when expectations collide with reality?

This episode explores whether today’s massive investment in AI, GPUs, infrastructure, copilots, and generative tools is laying the foundation for long-term value or repeating the familiar patterns of past tech bubbles like the dot-com boom and the subprime mortgage crisis. Geoff and Jeremy break down why traditional metrics like price-to-earnings ratios matter, why Nvidia and big tech dominate the narrative, and why the real risk may not be collapse but widespread underperformance.

The conversation goes far beyond markets. They dig into the impact of AI on jobs, layoffs, and corporate restructuring, challenging the idea that AI is “taking jobs” versus being used as convenient cover for economic tightening. From IT, HR, and operations to customer-facing roles, they examine how AI could reshape workforce composition, accelerate automation, and create a new and potentially unsettling employment equilibrium. You’ll also hear a candid critique of how organizations are actually using AI today and what is to come next in 2026.

Tech Trends Report 2026: https://www.infotech.com/research/ss/tech-trends-2026?utm_source=youtube&utm_medium=social&utm_campaign=research

In this video:

00:00 Just add AI to everything?

03:45 Looking ahead to 2026: Nobody knows what’s coming

07:10 Are we in an AI bubble?

12:30 Comparing AI to the dot-com and 2008 crashes

18:10 Nvidia, GPUs, and the AI Gold Rush

24:20 Why AI infrastructure may be ahead of real-world use cases.

30:40 Markets untethered from reality

36:50 is AI really taking jobs or is something else happening?

43:30 The real employment question for 2026

49:40 Corporate bloat, back-office roles, and automation

56:10 Why most AI projects fail to deliver value

1:02:45 From productivity theater to real ROI

1:09:20 Faster horses vs. Real cars in AI

1:15:40 AI 2.0: Agents, experiments, and what comes next

1:22:10 The real risk ahead: Underperformance, not collapse

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