The AI Guardrail Podcast with Kuya Dev

Explore a fascinating thought experiment on whether AI can truly innovate without experiencing the pain points that drive human engineers to create new tools and solutions.In this episode, host Rem (Kuya Dev) dives into community responses about AI's capacity for innovation, featuring insights from Geoffrey Hinton's perspective on digital intelligence, the AlphaZero Go breakthrough, and philosophical questions about what innovation really means.Key Timestamps:- 00:15 – Master's program updates- 04:18 – The Thought Experiment and community responses- 06:13 – John Kendrick's take on Geoffrey Hinton and AlphaZero- 09:17 – My own analysis and thoughts- 14:00 - Is discovery the same as innovation?- 16:04 – Final reflectionsWhat do you think? Is AI a stochastic parrot, or is it capable of true innovation? Share your thoughts in the comments!#AI #Innovation #Philosophy #SoftwareEngineering #ArtificialIntelligence #TechPodcast #AIResearch This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit ai.kuya.dev

I’m thrilled to share that I’ve officially become a certified AI Governance Professional (AIGP)!In this episode, I walk you through my entire certification journey: why I pursued it, how I prepared, what makes the exam so challenging, and concrete tips if you’re thinking about taking it yourself.Beyond the certification, I also dive into updates from my master’s program in responsible AI—including a fascinating session on real-time language translation from a Google engineer—and share my critical take on the latest open-source AI agent hype (Moltbot/OpenClaw).Episode Highlights & Timestamps:- 0:00 – Introduction and my AIGP certification announcement- 7:20 – Graduate school updates: Computer vision, NLP, and learning from industry experts- 12:00 – The Moltbot phenomenon: Why the hype doesn’t match reality- 17:30 – Why I pursued AIGP certification (and why it matters beyond lawyers)- 28:30 – The exam structure, difficulty, and why practice exams are essential- 32:00 – Does the certification make you an expert?- 35:40 – My top tips for aspiring AIGP candidates- 40:30 – Who needs this certification and why governance bridges the gap between tech and lawLike I promised here are resources to help you (these are NOT affiliate links):* IAPP AIGP Certification (Purchase)* AIGP Body of Knowledge (version 2.1, 2026)* AIGP Study Guide* IAPP Memberships* Official AIGP Practice Exam* Dr. Kyle’s AIGP Masterclass on his website* Dr. Kyle’s AIGP Masterclass on Udemy (just purchase it from his website instead)* Official IAPP AIGP Online TrainingAI governance isn’t just for lawyers—it’s for engineers, product managers, and anyone building AI systems. This certification grounded me in the legal frameworks that actually constrain what’s possible, and that’s invaluable knowledge for anyone serious about responsible AI.If you’re exploring AI, AI governance or AI ethics professionally or out of curiosity, I genuinely believe the AIGP path is also worth considering. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit ai.kuya.dev

I'm thrilled to share the inaugural episode of The AI Guardrail Podcast with you: a platform dedicated to examining artificial intelligence through a critical and thoughtful lens.In this episode, I discuss what motivated me to launch this podcast, tracing it back to a TEDx talk I gave in Davao where I first encountered the concept of "data colonialism." I explore why I felt compelled to become a voice for responsible AI, particularly within the global south where these conversations are still largely absent.The episode also features my analysis of recent remarks by AMD CEO Lisa Su about scaling AI compute 100x and her projection that 5 billion people will be using AI by 2031. I examine what these ambitious claims mean for populations in developing nations and question whether such projections account for the billions living below the poverty line. Here's the link to her CES interview.Throughout, I share my perspective on why we must push back against narratives that treat endless AI scaling as inevitable, and why small businesses and communities shouldn't feel pressured to adopt technology simply for the sake of growth.Timestamps- 00:02 — Introduction and episode overview- 02:34 — My TEDx talk and the genesis of this project- 08:22 — Discovering data colonialism and AI's hidden costs- 14:50 — Why I'm starting this podcast now- 22:41 — AMD CEO Lisa Su's AI projections analyzed- 27:55 — Who will actually use AI by 2031?- 35:45 — Why not everything needs to scale- 39:05 — Tech CEO bubble and the global south perspective- 41:38 — Closing remarksThank you for joining me on this first episode. Whether you're curious about AI ethics, governance, or simply want to hear a thoughtful critique of where the AI industry is heading, I hope you'll find value here.I'm not here to dismiss artificial intelligence, it has genuinely transformative applications. Rather, I want to ensure that as AI advances, we don't lose sight of its human and environmental costs, and that voices from communities beyond Silicon Valley get heard.I'd love to hear your thoughts. Drop a comment, share this with someone who'd appreciate the conversation, and subscribe to stay updated as we dive deeper into these critical topics. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit ai.kuya.dev