Practical AI

🤖 AI Agents: Game-changing tech or overblown buzz? In this episode of Practical AI, we break down: What AI agents really are (and aren’t) How they work behind the scenes Real-world business use cases Whether the current hype is justified From autonomous task handling to intelligent decision-making, AI agents are starting to redefine how businesses operate — but are they ready to scale? 👉 Don’t forget to like, subscribe, and drop a comment with your thoughts. 🎧 Also available on Spotify, Apple Podcasts, and more. #AIagents #PracticalAI #AutonomousAI #MachineLearning #AItools #BusinessAI #TechPodcast Spotify Link: https://creators.spotify.com/pod/show/giild/episodes/Are-Agents-Living-Up-To-The-Hype---Practical-AI--S2E57-e34meit

Can you tell the difference between human and AI-generated art? In this episode of Practical AI, we explore a fascinating experiment: the AI Art Turing Test. Listeners (and our hosts!) are challenged to guess whether pieces of visual art are human-made or AI-generated. We discuss: The surprising results of the test How AI is reshaping the creative process What this means for artists, consumers, and the future of visual media 👉 Try the test yourself: https://docs.google.com/forms/d/e/1FAIpQLSdqpfY0OXLQoO_UNkhKTAtQbmh8EX_xpAAaGV6mxlBDms9CzQ/viewform 📌 Don’t forget to like, subscribe, and leave a comment with your test score and thoughts on AI in the art world! Spotify: https://spotifycreators-web.app.link/e/1adAHhANiUb #AIart #TuringTest #ArtificialIntelligence #DigitalArt #MachineLearning #CreativeAI #PracticalAI #AIpodcast #TechPodcast

🎥 Why don’t Transformers work for video? In this episode of Practical AI, Jeff and Peter unpack Google’s new video model Veo, the rise of diffusers, and the architectural shift away from Transformers for video generation. We break down: What Veo actually is—and how it generates high-quality video Why token-based Transformer models don’t scale well to temporal data How video diffusers are solving motion, consistency, and resolution What this means for future video generation tools and content workflows Subscribe for sharp, technical breakdowns of AI’s latest leaps. #PracticalAI #VideoGeneration #Veo #Diffusers #Transformers #AIvideo #GenerativeAI #AImodels #MachineLearning Spotify: https://creators.spotify.com/pod/show/giild/episodes/Veo--Diffusion---Transformers--Practical-AI--S2E55-e345p1s

🚨 Self-training AIs are here. Alpha Evolve is showing us what’s next. In this episode of Practical AI, Jeff and Peter explore: The rise of self-evaluating, self-training models like Alpha Evolve Where human input still matters—and where it’s fading The real-world difficulties in training large language models What “catastrophic forgetting” means (and why it’s a serious issue) How to spot genuine breakthroughs in AI versus polished PR 💬 Episode Title: Using AIs to Evaluate: Self Training is Happening! This episode is a must-watch for anyone navigating the fast-moving landscape of modern AI. #PracticalAI #AlphaEvolve #SelfTraining #AIevaluation #LLMtraining #CatastrophicForgetting #AIethics #MachineLearning Spotify Link: https://creators.spotify.com/pod/show/giild/episodes/Using-AIs-To-Evaluate--Practical-AI--S2E54-e33gnaj

🧠 Can synthetic data train great models? 🧪 How do we actually validate AI? 💻 Are code-gen tools really ready for production? ⚖️ And what’s the ethical cost of moving too fast? In this episode of Practical AI, Jeff and Peter tackle five critical questions: The promise and pitfalls of synthetic data Why model validation is a step most skip—but shouldn’t The progress in code generation—and the messy challenge of translating or refactoring real-world code Where current tools break down in code quality What ethical responsibilities are looming as AI scales fast 📌 Subscribe for smart conversations on real-world AI, every week. #PracticalAI #SyntheticData #CodeGeneration #AIValidation #AIethics #AIchallenges #machinelearning Spotify Link: https://creators.spotify.com/pod/show/giild/episodes/Uh-Oh--Model-Validation-for-Self-Training--Practical-AI--S2E53-e3399ev

🇨🇳 China is closing the AI gap—and they're doing it with fewer chips. In this episode of Practical AI, Jeff and Peter break down how China is still managing to create competitive AI models without access to the cutting-edge GPUs that power US labs. We cover: China's unique innovation strategies How they're optimizing around hardware limits What this means for the AI arms race And whether U.S. chip sanctions are enough to hold the lead This isn’t just technical—it’s political, strategic, and global. 🧠 Subscribe for deep dives like this every week. #PracticalAI #ChinaAI #ChipsWar #AIrace #ArtificialIntelligence #Geopolitics #TechPolicy Spotify: https://creators.spotify.com/pod/show/giild/episodes/China-Catches-Up--Practical-AI--S2E52-e32v70d