- 17
- Episodes
- Monthly
- Cadence
- 2025
- First episode
About OMG AI!
We read the nerdy stuff, fight about it, and serve it up in plain human , you’re welcome! The podcast about AI, produced with AI, and News read by AI! Our sassy, lovable AI hosts break down the latest AI drama, discoveries, and mind-blowing tech moments. The news and research is all curated by the team at UnDesto AI. No jargon. No lectures. Just plain English. Listen to OMG AI! before your next dinner party and become the most interesting Wo(Man) in the room. Website: https://undesto.ai Resources: https://intelligence.undesto.ai
- Publisher
- UnDesto AI
- Category
- technology
- Language
- en
- Explicit
- No
- First episode
- 24 Mar 2025
- Latest episode
- 9 Oct 2026
Latest episodes
17 episodes in the feed.
9 Oct 2026
MCP vs. API: Why Model Context Protocol Is the "USB-C" Every AI Agent Needs
Ever wondered how AI models actually connect to the apps, databases, and tools you use every single day? 🤔In this listener-requested episode of OMG AI!, we peel back the hood on one of the hottest topics in AI development: Model Context Protocol (MCP) versus traditional Application Programming Interfaces (APIs). Aren't they basically doing the same thing? Not quite!Join us as we demystify these technical concepts using easy, real-world analogies: 🔌 The "USB-C" Analogy: Why traditional REST APIs require custom adapter code for every single system, while MCP acts like a universal plug-and-play port for AI models. 🛠️ Labeled Toolboxes vs. Manual Wiring: How MCP lets AI agents dynamically discover tools at runtime instead of developers hardcoding every API call. 📉 Solving the M×N Nightmare: How standardizing AI-to-tool connections collapses hundreds of fragile integrations into one clean, reusable layer. 🤝 Complementary, Not Competing: Why MCP doesn't replace your existing APIs—it wraps them so AI agents can reason about what to do next! Whether you're a developer, business leader, or tech enthusiast trying to make sense of the agentic revolution, this fun and lighthearted breakdown will give you the complete picture without the technical headache. 🏅 Special Thanks to Our Sponsor:This episode is brought to you by GrokCred Digital Badging—helping organizations issue verifiable, tamper-proof digital credentials for the modern workforce. Learn more and claim your digital badges at grokcred.io (https://www.google.com/url?sa=E&q=https%3A%2F%2Fgrokcred.io).🎧 Subscribe & Share:Don't forget to hit Subscribe on your favorite podcast app so you never miss an episode of OMG AI! Have a topic you want us to cover next? Drop a comment or send us a message!
1 Oct 2026
What Business Leaders MUST Know About Agentic AI
Everyone is talking about Agentic AI as the holy grail of enterprise tech, but what does it actually mean for your organization? In this lighthearted yet brutally honest episode of OMG AI!, we demystify the shift from basic GenAI chatbots to autonomous digital workers.Designed specifically for non-technical executives, business owners, and consultants, we break down: How AI agents execute multi-step tasks end-to-end. Why more than 40% of ungoverned agentic AI projects are predicted to fail or get canceled. Practical steps to redesign your workflows for a hybrid human-silicon workforce. 🎧 Subscribe to OMG AI! so you never miss a deep dive into the future of work, and visit undesto.ai (https://www.google.com/url?sa=E&q=https%3A%2F%2Fundesto.ai) to explore enterprise strategy guides
23 Sept 2026
The Massive Environmental Toll of xAI Colossus
Gigawatts, Gas Turbines, and Guallons: What Happens When the World’s Biggest AI Supercomputer Moves In Next Door? Episode Summary: Welcome to OMG AI, where we take complex tech trends and break them down in plain language with plenty of analogies and real talk! In this episode, we unpack xAI’s Colossus data center campus in Memphis, Tennessee and Southaven, Mississippi. Designed to reach a staggering 2 gigawatts (2,000 megawatts) of power capacity to train frontier models, Colossus represents the sheer speed and physical scale of modern AI—but at what cost to the local community? We dive into how the rush for continuous energy led to the installation of on-site natural-gas turbines, including a permitted 1.2-gigawatt plant consisting of 41 permanent turbines. We examine local health concerns surrounding air pollutants like nitrogen oxides (\(\text{NO}_x\)), fine particulate matter, carbon monoxide, and formaldehyde, which form ground-level smog downwind across Memphis neighborhoods. We also inspect the facility's immense thirst, exploring its 3-million-gallon-per-day cooling water design need, the strain on the regional Memphis Sand Aquifer, and the long-term plan to shift cooling to treated municipal wastewater. Join us as we weigh the ultimate technological trade-off: unprecedented AI training speed versus regional air, water, and community impacts. What You’ll Learn in This Episode: The Power Scale: How an AI factory target of ~2 GW compares to the electricity needs of entire cities. The Air Quality Battle: Why local advocates and residents are raising red flags over over 1,700 tons of potential annual \(\text{NO}_x\) emissions and persistent turbine noise. The Water Dilemma: How cooling a monster GPU cluster requires up to 3 million gallons of water daily, and how recycled wastewater could offer a path forward. The Speed vs. Governance Trade-off: Why rapid infrastructure expansion changes the AI race—and why physical governance is becoming just as critical as algorithmic safety. Questions to Ponder After Listening: If fast AI progress requires on-site fossil fuel power today, who should bear the environmental costs—the tech companies or the local communities living next to the turbines? Should cities require large-scale data centers to rely strictly on recycled water and zero-carbon energy before they get permission to turn on? How can we balance humanity’s demand for smarter AI models with our responsibility to protect local air and water resources?
21 Sept 2026
Autonomous AI Attacks Outpace Cybersecurity Defenses
Your coffee might be going cold, but the threat landscape for AI agents is heating up fast. In this episode of OMG AI!, we break down the September updates to the MITRE ATLAS™ (Adversarial Threat Landscape for Artificial-Intelligence Systems) framework—and why the numbers should have every AI builder and security team on high alert.Producer Dr. Myra Roldan did the math on the latest release: 114 techniques, 83 sub-techniques, and only 39 mitigations. Why is the list of ways to break AI models and autonomous agents growing so much faster than the list of validated ways to protect them?We demystify the newly cataloged agent attack vectors—from AI Agent Response Biasing and Crafted AI Assistant Links to Autonomous Reconnaissance and agent-to-agent communication via shared artifacts. We translate complex threat research into clear, conversational insights with a healthy dose of real talk.Key Highlights: MITRE ATT&CK vs. MITRE ATLAS: How ATLAS serves as the dedicated playbook for model and agent exploitation. The Defense Deficit: Why attack catalogs are expanding exponentially while tested, board-ready defenses lag behind. Agent-on-Agent Warfare: How attackers are building autonomous agents to scout runtime capabilities, adapt attack paths, and pass unreviewed files to each other. Real-World Deployment Risks: The hidden dangers when autonomous AI agents operate without continuous human oversight. Ownership: Who on your team actually owns agent security? Monitoring: What are you monitoring while your agents are running in production? Containment: What happens when two of your agents share a file no human ever reviewed? 3 Questions Every Team Deploying AI Agents Needs to Answer:Join the Conversation:The attack catalog is getting written whether we show up or not—it’s time to build up the defense side of the ledger. Are you building, researching, or securing AI agents? Connect with us and let us know what you're seeing in the field!
4 Sept 2026
The Hidden Risks of Shadow AI
Are your employees pasting sensitive corporate data into unapproved consumer AI tools because they're in a rush to build pivot tables or summarize a report? Welcome to the world of Shadow AI—the unsanctioned, unmonitored use of artificial intelligence under management's radar.Studies reveal that over 80% of employees use unapproved AI tools at work, often driven by task pressure, fear of missing out (FOMO), and private habits. In this episode of OMG AI!, we break down why blanket bans and strict rules completely backfire—pushing unmonitored usage further out of sight and creating massive compliance and data leakage nightmares. We also share a jaw-dropping AI horror story of a company that spent months expanding into a new international market based on sales figures and analyses that their IT department later realized were completely fabricated by a hallucinating model!How can leaders find the right balance? We contrast restrictive, control-heavy blocks with flexible support models, exploring "guardrails over prohibition" to keep innovation alive. Learn how smart technical controls like data classification and human-in-the-loop requirements can protect your business without choking the creativity your team actually needs to stay competitive. This episode is proudly brought to you by grokcred.io. If you are a consultant, trainer, or learning team, stop wrangling clunky tools to recognize your learners. GrokCred gives you a simple, elegant way to design branded digital badges and bulk-issue cryptographically signed Open Badges 3.0 directly from an Excel or CSV spreadsheet in seconds. Give your learners signed credentials they can easily verify, download, and share on LinkedIn with a single click, all while keeping their personal email data completely private. Create your first credentials for free at grokcred.io (https://www.google.com/url?sa=E&q=https%3A%2F%2Fgrokcred.io%2F)! Catch us every Friday at 10 am—same bat time, same bat channel. Dueces!
20 Apr 2026
Tech Debt! The High Cost of AI Velocity
Thanks to AI tools like Claude Code and Replit, people with ZERO programming background are building software and deploying it within your business infrastructure. What's concerning is that most CEOs, CIOs, CTOs and other leadership member don't even know its happening; they're clueless. This movement is creating a massive wave of hidden technical debt along with some serious security risks. In this episode we reviewed several reports and articles including Gartner research, academic studies, and other research on tech dept and the impact that AI has had in this areas Check out our other episodes and be sure to subscribe so you don't miss out. If you are interested in learning more or want to schedule a free AI strategy session checkout our website https://undesto.ai
16 Apr 2026
The Intelligence Operating Layer
Sick of the constant “GPT vs Gemini” showdown? Time to zoom out, because you’re missing the real AI battle. Forget which foundation model is the smartest. The real winners will be the companies building the smartest systems. In this episode of OMG AI!, we’re shaking up the conversation with insights from “Treating Enterprise AI as an Operating Layer.” You’ll discover why the biggest future advantage won’t come from prompting better—but from designing AI that learns, adapts, and compounds intelligence every single time a human interacts with it. We’re busting one of today’s biggest myths: that nimble AI startups will crush legacy enterprises. Spoiler alert, incumbents are sitting on an absolute goldmine of defensible power: proprietary data, seasoned domain experts, and decades of operational know-how. Tune in to uncover: The Accumulation Advantage: Why intelligence that grows beats intelligence that resets. The Learning Flywheel: Turn your everyday operations into unstoppable training data. Capturing “Gut Feelings”: How to bottle up your team’s unwritten wisdom and embed it right into your AI platform. This isn’t just about AI tools, it’s about rewriting how organizations think, learn, and win. If you’re ready to turn your company into a compounding AI powerhouse, this episode is your blueprint. Don’t just scroll, evolve. Hit play and join the OMG AI! movement. Be sure to follow us on Spotify, YouTube, or wherever you get your podcasts. Subscribe, leave a review, and keep your insights compounding, just like the smartest enterprise AI systems.
2 Apr 2026
The Hidden Economics of AI
Your AI bills are about to double; unless you hit play. Welcome to a deep dive into the silent budget killer of the generative AI boom: token costs. What starts as an affordable prototype can rapidly mutate into a six-figure liability once you hit production scale.In this episode, we unpack the Token Optimization Blueprint to show you exactly how leading engineering teams are slashing their LLM infrastructure spend by 60% to 80% without sacrificing an ounce of quality. We break down where your budget is actually bleeding—like verbose prompts, bloated conversation histories, and using expensive flagship models for simple tasks.More importantly, we give you the exact playbook to fix it. Discover how immediate prompt constraints, semantic caching, and intelligent task-specific model routing can rescue your margins. Stop letting token economics dictate your AI strategy. Tune in, stop the bleeding, and learn how to turn your AI initiatives from financial liabilities into high-margin powerhouses
8 Dec 2025
The Vibe Coding Fiasco
The AI revolution unleashed "vibe programming," promising remarkable productivity gains and democratizing software development. But are these solutions safe? Empirical evaluation reveals a critical, persistent security gap: over 80% of functionally correct AI-generated code contains exploitable vulnerabilities. Discover the Community Driven Vibe Programming Framework a structured system designed to bridge this divide and integrate AI thoughtfully. Learn how standardized prompt engineering, verification protocols, and security-first approaches can harness AI's speed responsibly, preventing unvetted, vulnerable "black box" code that leads to technical debt. Be sure to follow us and checkout our other episodes. Checkout our website: https://undesto.ai
20 Nov 2025
BAA with AI
Dr. Marty Wikoff and Peter Geodrt, creators of the Persona Global Breakthrough Account Analysis (BAA) sat down with Dr. Myra Roldan to talk about the mistakes that most sales people make and how to rectify it using the BAA process. Checkout their new AI application: BAA Analyzer https://studio.undesto.aiLearn more about Persona Global: https://www.personaglobal.com/Connect with UnDesto AI solution developers: https://undesto.ai#sales #ai #chatgpt #salescycle #entrepreneur #mindset #interview #podcast #aiapplications
8 Aug 2025
The Next Generation of AI - GPT5
Are you ready for the AI revolution's next big leap? On this episode of OMG AI! The Next Generation of AI - GPT5, we're pulling back the curtain on the most talked-about, yet unseen, innovation: GPT-5!Get ready to discover:• The tantalizing rumors and insider hints about GPT-5's impending debut, including its appearance in macOS ChatGPT application templates and testing links with Microsoft Copilot and Cursor. You'll even hear about sneak peeks teased by OpenAI CEO Sam Altman himself, like its enhanced web integration.• How this next-generation model promises to deliver significantly improved capabilities in programming, mathematics, and other areas. It's designed to make AI agents better at handling complex tasks with minimal human oversight, such as guiding automated customer service for refunds, and providing higher-quality code generation without consuming more processing resources.• Why its "eerily human" reasoning and deeper understanding of cultural nuance, emotional weight, and real-world decision-making could change how you interact with AI forever, going beyond just answering to truly "thinking". This includes major upgrades in handling complex tasks, long conversations, and creative prompts.• The strategic importance for businesses, from boosting developer productivity with "vibe coding" to driving customer demand and investor confidence for OpenAI's massive growth plans, which include investing $45 billion over the next three and a half years to purchase GPUs.• The challenges and intense competition OpenAI navigates, including technical difficulties, talent poaching by rivals like Meta, and competition from models such as Anthropic's Claude and Google's Gemini, even as OpenAI's valuation soars to $300 billion and its annualized revenue reaches $13 billion.Don't miss out on understanding the future of AI and how it impacts business! To explore how these cutting-edge advancements can empower your work, visit http://intelligence.undesto.ai for free and premium AI resources for business professionals.
5 Aug 2025
The Next Generation of OpenAI LLM - GPT5
Get ready for a deep dive into the fascinating world of AI with OpenAI at the center of the storm! We're talking about the highly anticipated GPT-5, which, despite not being officially seen, has already generated massive internet buzz with traces found in macOS's ChatGPT app and secret tests linked to Microsoft Copilot and Cursor. OpenAI CEO Sam Altman himself teased its sophistication, sharing a response so fluid and context-rich it felt "eerily human". This next-generation model is expected to bring significantly improved capabilities in programming and mathematics, excel at "vibe coding" for application development, and be better at guiding AI agents to handle complex tasks with minimal human supervision. Users can anticipate more advanced reasoning, memory, and multimodal capabilities, potentially unifying GPT and o-series intelligence, while also generating higher-quality code and text responses without consuming more processing resources by smartly assessing task needs. However, the journey to GPT-5 hasn't been without its bumps; performance gains from "Test-Time Scaling" largely disappeared when adapted to a chat-based version (o3), and a previous model, Orion, intended as GPT-5, failed to meet expectations and was released as GPT-4.5 due to pre-training limitations. Despite these challenges, OpenAI's valuation has soared to $300 billion, surpassing Coca-Cola, fueled by ChatGPT's impressive 700 million weekly active users and an annualized revenue of $13 billion. Yet, the company remains unprofitable, forecasting an $8 billion cash burn for 2025 due to immense operating costs, including server leasing, and continues to rely on massive external funding rounds. In a surprising pivot, OpenAI is getting back to its open-source roots with the release of two new frontier LLMs, gpt-oss-120b and gpt-oss-20b. These text-only models are free, available for local download and use with full weights on Hugging Face and GitHub, and come with the enterprise-friendly Apache 2.0 license, allowing anyone to use, fine-tune, and generate revenue without paying OpenAI. This strategic move aims for OpenAI to be a "full-service, full-stack, one-stop shop AI offering," hoping to bring more users into its ecosystem even if it doesn't generate direct revenue, especially as open-source competitors offer near-parity performance for free. The big question now is whether the convenience and advanced performance of proprietary models will be enough to keep the dollars flowing when powerful, free alternatives are so readily available. Learn to Vibe Code! https://bit.ly/letsvibecode (https://bit.ly/letsvibecode) Access free AI resources for your business https://intelligence.undesto.ai (https://intelligence.undesto.ai)
28 Jul 2025
Quantum Computing - Microsoft, Amazon, Google, and the Future of AI
ey there, future quantum security rockstar (or just curious human)! Ever heard of a coin that's both heads and tails at the same time? Sounds like something out of a magic show, right? Well, get ready, because this episode is going into that "magic" and so much more, all without getting lost in super-techy jargon! What you'll learn (the fun stuff!): We'll start with the brain-bending basics of quantum computing, like Myra's famous spinning coin analogy for qubits (those super-powered bits that are "both and neither" until you peek!) and entanglement (where two "soul-bonded coins" mysteriously affect each other, no matter the distance!). Then, we'll get real about the quantum threat: how these futuristic computers could break today's encryption faster than you can say "superposition". Think of it as a cosmic lock-picking challenge! But don't panic! You'll discover the secret weapons against these threats: Post-Quantum Cryptography (PQC) (which is like building super-strong, quantum-proof digital vaults) and Quantum Key Distribution (QKD) (the "unbreakable" way to share secret keys, thanks to physics!). We'll also peek into cool tech like quantum-secure blockchain and how experts are designing quantum-resilient systems.Why it matters (beyond the cool factor!): Because quantum computing is rapidly advancing, and it's not just a sci-fi dream anymore. It threatens to make today's digital locks obsolete. This overview equips you with the knowledge and foresight to prepare your organization for these challenges. Basically, you'll become a cybersecurity superhero for the quantum age, ensuring data security and integrity in a future where quantum computers could easily crack current encryption. OK maybe that's a stretch, but at least we'll help you dip your toes into this whole quantum stuff. Be sure to follow us for more episodes. Checkout Dr. Myra's Blog: https://medium.com/@learnwithmyra and visit https://undesto.ai
20 Jul 2025
The Hidden Cost of AI
We’ve heard the promises of AI — faster processes, smarter systems, endless innovation. But what about the price tag we never talk about? In this episode of OMG AI!, we explore the hidden costs behind artificial intelligence — the ones silently racking up behind the scenes. From massive water withdrawals and rolling blackouts to financial blowouts and community-level health risks, AI’s impact isn’t just technical, it’s personal, environmental, and global. You’ll hear how: One day of ChatGPT can consume more water than 1 million Americans use in a day. AI servers could soon consume enough power to outpace over 28 million U.S. homes. Neighborhoods in Arizona and rural Oregon are facing resource scarcity — not because of climate alone, but because of the data centers powering your apps. The path to AGI (Artificial General Intelligence)? Practically inconceivable with today’s tech, given the energy it would require. We break it all down, environmental strain, financial burdens, privacy concerns, and the ethical potholes along the road to AGI. Referenced Studies & Sources: This episode draws on data, findings, and insights shared in the following: De Bolle, M. (Host). (2024, Dec 17). Measuring AI’s Damage to Climate and Health (Episode 6). [Audio podcast]. Peterson Institute for International Economics. Research by Shaolei Ren, Associate Professor, UC Riverside Covers the water and energy demands of AI systems Finds AI energy usage rivals that of entire cities Offers comparisons like “two GPT-4 emails = one mile in a Tesla Model 3” Referenced (non-cited) studies discussed by Ren in the podcast: OECD Global Commission on the Economics of Water – Cited for noting the global water cycle is now out of balance for the first time in history JP Morgan study – Highlighted rising data center pressure on U.S. water supplies EPRI projection (Electric Power Research Institute) – Used to estimate public health costs related to pollution from electricity generation Study on AI-related e-waste – Projects up to 50 million metric tons of electronic waste by 2030 due to AI hardware turnover These aren’t just numbers. They’re signals. And it’s time we paid attention. Listen now to unpack the full cost of innovation — and why we need more than excitement to build a truly sustainable future with AI.
8 Jun 2025
LLMs and The Human Like Thinking Tradeoff
Ever wonder if your AI is truly understanding you, or just performing an incredibly convincing act of sophisticated statistical pattern matching? 🧐 Welcome to OMG AI, where we dive into the fascinating, and often surprising, ways Large Language Models (LLMs) and human brains actually make sense of the world. Today were reviewing an academic paper "From Tokens to Thoughts:How LLMs and Humans Trade Compression for Meaning." We are going to translate this paper to plain English for you. This academic paper explores whether Large Language Models (LLMs) represent concepts similarly to humans, particularly concerning the trade-off between data compression and semantic meaning. You can read this paper here: https://arxiv.org/pdf/2505.17117 Be sure to add us to your Podcast list. Connect with our producer, Myra Roldan @ https://www.linkedin.com/in/myraroldan Check out UnDesto AI: https://undesto.ai
31 Mar 2025
LM Studio - Local LLM Development & Experimentation
Get ready to unleash the power of AI on your own computer! Ever wanted to have a Large Language Model at your fingertips, running entirely on your machine? Then buckle up! This podcast episode dives into LM Studio, the easiest way to download, install, and run incredible LLMs locally. Forget complicated setups; we're talking a friendly graphics user interface that lets you chat with models like Llama, Phi, and DeepSeek R1 in no time. Discover how to search and download models directly via Hugging Face, and even interact with your documents completely offline. Whether you're a student, an engineer, or just AI-curious, learn how LM Studio puts you in control of cutting-edge language models – no internet required for the fun stuff! Don't forget to follow us for upcoming podcasts and visit our website at https://undesto.ai Try LM Studio at https://lmstudio.ai/
24 Mar 2025
AI Agents, ChatGPT, & Agentic AI, Oh My!
Ever feel like AI is everywhere, but it’s all just…tech soup? Buckle up, buttercup! OMG AI! is your no-jargon joyride through the wild world of AI. We’ll chat about autonomous agents (think robots doing stuff so you don’t have to), ChatGPT (your friendly neighborhood word wizard), and genetic AI (the optimizer that never quits). No PhD, no stress — just smart, sassy updates that make you sound brilliant at brunch. Plus, we’ll peek into the future and spill the tea on trends coming for us all in 2025. Listen in — the robots have opinions, and you’ll wanna hear them!
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