The End of Transformers: Why GPT-4 Hit a Wall and the New Path to AGI скачать в хорошем качестве

The End of Transformers: Why GPT-4 Hit a Wall and the New Path to AGI

Is the "brute force" era of Artificial Intelligence coming to an end? While models like GPT-4 feel like magic, they are actually hitting a massive mathematical and physical ceiling. In this video, we go beyond the hype to look at the engineering reality of modern AI. We explore why the Transformer architecture is reaching its structural limit—from the "quadratic compute bottleneck" to the "data wall"—and why simply adding more GPUs is no longer enough. *In this video, you will learn about:* *The Illusion of Capture:* Why LLMs are "System 1" thinkers (fast but blind). *The Scaling Problem:* Why the Chinchilla Laws and exponential resource demands are hitting a wall. *The Quadratic Bottleneck:* Why long-term AI memory is so energy-expensive. *The Next Generation of AI:* We dive into the 5 massive breakthroughs that will replace or augment current models: 1. *State Space Models (Mamba):* Solving the efficiency problem with linear scaling. 2. *Test-Time Compute (OpenAI o1):* Moving toward "System 2" reasoning and logic trees. 3. *JEPA (Yann LeCun):* Building world models that understand physics without words. 4. *Neuro-Symbolic AI:* Combining neural intuition with hard mathematical logic. 5. *Liquid Neural Networks:* The MIT-led breakthrough in fluid, adaptable edge AI. The transition from "next-token prediction" to true synthesis is the beginning of AI’s adulthood. Join us as we tour the cosmic laboratory of new architectures that will define the future of Artificial General Intelligence. *If you enjoyed this deep dive into AI architecture, please like, subscribe, and let us know in the comments: Which of these new technologies do you think will lead to the first true AGI?* #AI #AGI #GPT4 #MachineLearning #Mamba #JEPA #Transformer #OpenAI #ArtificialIntelligence #TechExplained --- 1. Future of AI 2. AGI Architecture 3. GPT-4 Limitations 4. Mamba SSM 5. Yann LeCun JEPA 6. Scaling Laws AI 7. Neural Networks Explained 8. Neuro-symbolic AI 9. Liquid Neural Networks 10. Transformer Bottleneck --- ---