Decoding AI ethics and governance from the engineering front lines. Perspectives from the Global South. <br/><br/><a href="https://ai.kuya.dev?utm_medium=podcast">ai.kuya.dev</a>
The AI Guardrail Podcast with Kuya Dev
Claim This Podcastby Rem "Kuya Dev" Lampa
5 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇵🇭
Podcast Overview
Decoding AI ethics and governance from the engineering front lines. Perspectives from the Global South. <br/><br/><a href="https://ai.kuya.dev?utm_medium=podcast">ai.kuya.dev</a>
Language
🇺🇲
Publishing Since
1/10/2026
1 verified contact email on file for The AI Guardrail Podcast with Kuya Dev
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
April 27, 2026
Can AI Truly Innovate Without Feeling Pain and Frustration? | AIGP #26-005
<p>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.</p><p></p><p>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.</p><p></p><p><strong>Key Timestamps:</strong></p><p></p><p>- 00:15 – Master's program updates</p><p>- 04:18 – The Thought Experiment and community responses</p><p>- 06:13 – John Kendrick's take on Geoffrey Hinton and AlphaZero</p><p>- 09:17 – My own analysis and thoughts</p><p>- 14:00 - Is discovery the same as innovation?</p><p>- 16:04 – Final reflections</p><p></p><p>What do you think? Is AI a stochastic parrot, or is it capable of true innovation? Share your thoughts in the comments!</p><p></p><p>#AI #Innovation #Philosophy #SoftwareEngineering #ArtificialIntelligence #TechPodcast #AIResearch</p> <br/><br/>This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit <a href="https://ai.kuya.dev?utm_medium=podcast&utm_campaign=CTA_1">ai.kuya.dev</a>
March 8, 2026
The Hidden Cost of Vibe Coding: Understanding Probabilistic Systems in Software Development | AIGP #26-004
<p>I’m back after a month away from the podcast, as life got pretty hectic lately. But I’m excited to share what I’ve been thinking about, especially regarding a topic that sparked some interesting conversations on social media.</p><p>In this episode, I dive deep into a claim that’s been on my mind: <strong>vibe coding is fundamentally probabilistic, while traditional programming is deterministic.</strong> And no, before you think I’m against AI-assisted development—I’m not. What I want to do is help you understand the crucial difference between these approaches so you can make informed decisions about how to use them responsibly.</p><p>We’ll walk through what probabilistic and deterministic systems actually mean, examine how they apply to both vibe coding and manual code writing, and explore what that trade-off really costs you. I also share some personal updates about streamlining my machine learning workflow for graduate school.</p><p>Whether you agree with my take or not, I’d love to hear your thoughts. Comment them down below!</p><p>Episode Timestamps:</p><p>- <strong>0:00</strong> — Introduction and update on my MSc in Responsible AI journey</p><p>- <strong>6:55</strong> — Main topic introduction: Vibe coding vs. traditional programming</p><p>- <strong>8:08</strong> — Defining probabilistic vs. deterministic systems</p><p>- <strong>10:59</strong> — How this applies to vibe coding</p><p>- <strong>12:31</strong> — How this applies to traditional programming</p><p>- <strong>16:40</strong> — Why people think traditional programming is probabilistic</p><p>- <strong>20:24</strong> — The accountability question and trade-offs</p><p>- <strong>21:14</strong> — Wrapping up the core argument</p><p>Thanks so much for tuning in—it means a lot to have you here. If this resonates with you, I’d really appreciate a like or share to help this conversation reach more people who care about responsible AI development.</p><p>Looking forward to hearing your perspective in the comments, and I’ll catch you on the next episode.</p> <br/><br/>This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit <a href="https://ai.kuya.dev?utm_medium=podcast&utm_campaign=CTA_1">ai.kuya.dev</a>
February 9, 2026
I'm Now an AI Governance Professional! My AIGP Certification Journey | AIGP #26-003
<p>I’m thrilled to share that <a target="_blank" href="https://www.linkedin.com/posts/activity-7422834410103787521-R7WP?utm_medium=ios_app&rcm=ACoAABOBoccBcXSejAQxRTVRfVspnvmWToZlKbs&utm_source=social_share_send&utm_campaign=copy_link">I’ve officially become a certified AI Governance Professional (AIGP)</a>!</p><p>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.</p><p>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).</p><p><strong>Episode Highlights & Timestamps:</strong></p><p>- <strong>0:00</strong> – Introduction and my AIGP certification announcement</p><p>- <strong>7:20</strong> – Graduate school updates: Computer vision, NLP, and learning from industry experts</p><p>- <strong>12:00</strong> – The Moltbot phenomenon: Why the hype doesn’t match reality</p><p>- <strong>17:30</strong> – Why I pursued AIGP certification (and why it matters beyond lawyers)</p><p>- <strong>28:30</strong> – The exam structure, difficulty, and why practice exams are essential</p><p>- <strong>32:00</strong> – Does the certification make you an expert?</p><p>- <strong>35:40</strong> – My top tips for aspiring AIGP candidates</p><p>- <strong>40:30</strong> – Who needs this certification and why governance bridges the gap between tech and law</p><p>Like I promised here are resources to help you (these are NOT affiliate links):</p><p>* <a target="_blank" href="https://iapp.org/certify/aigp">IAPP AIGP Certification</a> (<a target="_blank" href="https://store.iapp.org/aigp-exam/">Purchase</a>)</p><p>* <a target="_blank" href="https://assets.contentstack.io/v3/assets/bltd4dd5b2d705252bc/blt0d33152fd20bc134/AIGP_Cert%20BOK.pdf">AIGP Body of Knowledge</a> (version 2.1, 2026)</p><p>* <a target="_blank" href="https://iapp.org/l/aigp-study-guide-request">AIGP Study Guide</a></p><p>* <a target="_blank" href="https://store.iapp.org/membership">IAPP Memberships</a></p><p>* <a target="_blank" href="https://store.iapp.org/aigp-practice-exam-digital/">Official AIGP Practice Exam</a></p><p>* <a target="_blank" href="https://drdavidprivacy.com/courses/ai-governance-professional-aigp-certification-masterclass/">Dr. Kyle’s AIGP Masterclass on his website</a></p><p>* <a target="_blank" href="https://www.udemy.com/course/ai-governance-professional-aigp-certification-masterclass/">Dr. Kyle’s AIGP Masterclass on Udemy</a> (just purchase it from his website instead)</p><p>* <a target="_blank" href="https://store.iapp.org/ai-governance-professional-aigp-online-training/">Official IAPP AIGP Online Training</a></p><p>AI 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.</p><p>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.</p> <br/><br/>This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit <a href="https://ai.kuya.dev?utm_medium=podcast&utm_campaign=CTA_1">ai.kuya.dev</a>
5 total episodes available
Deep-dive analytics for The AI Guardrail Podcast with Kuya Dev
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is The AI Guardrail Podcast with Kuya Dev?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
No, this podcast does not typically feature guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.