Omor
SEASON 1 | EPISODE 1: The AI That Dreams - What Are World Models?
Here's a crazy thought: What if the most advanced AIs don't just learn from data—they practice in their dreams? I'm talking about World Models. This isn't science fiction. This is happening right now in labs from DeepMind to OpenAI. In this episode, you'll get the executive briefing on: • What World Models are (using a simple human analogy) • How they let AI simulate thousands of futures before taking action • Why this makes ChatGPT look primitive • Where Tesla and Nvidia are already using this technology • The one paper that started it all This is the most important AI concept you've never he...
Be sure to visit the podcast's website and support the creator: rss.com
Where to listen?
Podcasts in the app Replaio Radio Coming soonPodcasts are coming to the app soon. Install now and be the first to see a whole new take on podcasts
Episodes
SEASON 1 | EPISODE 2: How AIs Practice in Their Sleep - The Dreamer Revolution 11.12.2025 5:16
In Episode 2 of The World Model Podcast , we dive deep into one of the most fascinating breakthroughs in modern AI: world models—specifically DeepMind’s Dreamer series—and how machines are now “practicing in their sleep.” We break down how Dreamer AIs learn superhuman skills using a fraction of the data once required, thanks to three core components: a compact representation model, an internal ima...
SEASON 1 | EPISODE 3: From Virtual to Reality - How World Models Will Transform Industries 11.12.2025 4:16
In Episode 3 of The World Model Podcast , we move from theory to reality. World models aren’t just research experiments anymore they’re already reshaping entire industries, and in the next two years their impact will be impossible to ignore. We start in an unexpected place: video games. From NPCs that dynamically predict your next move to studios that can run millions of simulated playthroughs ove...
Similar podcasts
Replaio is not a podcast publisher; show names, artwork and audio belong to their authors and are distributed through public RSS feeds.