La PREUVE que les WORLD MODELS vont TOUT changer (et c’est imminent)

🤝 If you want to try Gamma to easily create presentations, documents, or websites using AI, here's the link: https://sldrsn.com/christophepauly Do you know how artificial intelligence thinks? And first of all… can AI really think? When a machine writes, reasons, or solves a problem, what's really happening behind the screen? Does it understand what it's saying, manipulate ideas, or simply mimic the outward form of our thoughts? I invite you to delve into the machine, from the most rudimentary systems to neural networks, transformers, and models of the world, to try to understand how a series of calculations can ultimately produce something that so closely resembles intelligence. ______________________ 🌌 CONTINUE EXPLORING Want to dig deeper into the subject? You're in the right place! Here are three resources I personally recommend: 🎙 An interview with a scientist I conducted ➡ Will AI surpass us? A researcher separates fact from fiction | Science & Vie    • L’IA va-t-elle nous dépasser ? Un chercheu...   📚 A book I particularly enjoyed ➡ When Machines Learn: The Revolution of Artificial Neurons and Deep Learning, by Yann LeCun https://www.odilejacob.fr/catalogue/s... 🔬 A scientific article I read during my research ➡ Language Models Represent Space and Time, by Wes Gurnee and Max Tegmark https://openreview.net/forum?id=jE8xb... ___________ 🖋 Research, writing, voice: Christophe Pauly 🎨 Art direction and main editing: Margaux Charrière 🎞 Additional editing: Ophélie Malinowski 🎧 Sound design: Anissa Altmayer 🤖 This video contains some AI-generated images for illustrative purposes. 🤝 Business inquiries: [email protected] Follow me on: ➡ Facebook:   / christophepauly.tv   ➡ Instagram:   / christophepauly.tv   ➡ My website: https://christophepauly.fr ___________ Chapters: 00:00 Can Artificial Intelligence Really Think? 01:38 Transforming Ideas into Presentations with Gamma 04:25 How Can a Machine Produce Intelligence? 05:30 Markov Chains: Imitating Without Understanding 08:05 Can We Mathematize the Meaning of Words? 08:29 Embeddings: Transforming Language into Geometry 12:10 How Do Neural Networks Work? 15:25 Transformers and the Attention Mechanism 17:41 Is Predicting the Next Word Really Reasoning? 19:44 Why Do Artificial Intelligences Hallucinate? 21:51 When AI Needs to Understand the Real World 22:48 World Models: Giving Machines a World 25:43 Vision, Video, and Robotics: The Next Generation of AI 26:54 So, How Does an AI Really Think? 27:34 What AI Reveals About Human Intelligence