The Holy Grail of AI - Explained

I break down the "5 Levels of Continual Learning" to explain why current AI models suffer from catastrophic forgetting and remain frozen after training. We also explore whether engineering hacks like RAG and Anthropic Skills are the future, or if we need a totally new architecture to finally solve AI memory in 2026. My voice to text App: whryte.com Website: https://engineerprompt.ai/ RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/courses/rag Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 Let's Connect: 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: [email protected] Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 00:00 Continual Learning - The New Buzzword? 01:05 Defining Continual Learning 02:06 Levels of Continual Learning 04:47 Catastrophic Forgetting Explained 06:35 Debate in the AI Community 09:44 Current Workarounds and Innovations 12:34 Economic Implications