OpenAI Co-founder's (Secret AI System 😱) Revealed 🔥

Want to become a Data Analyst, Data Scientist, or GenAI Engineer? Service Enquiry Form: 🔗 For B2B Collaboration(zPROx.AI): https://connectwithus.zprox.ai/ 🔗 For AI Coaching Program(PROITBRIDGE): https://www.proitbridge.com/contact-u --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Enroll in Tamil Nadu’s No.1 AI Community... Led by AI Coach John, created for the Tamil community to access course materials and stay updated with future AI developments. https://whatsapp.com/channel/0029Vb7q... --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 🔥 Curious about Andrej Karpathy’s Wiki LLM? What if AI could think more like a connected knowledge system instead of just predicting the next word? In this video, we explore the fascinating idea behind Wiki LLM — inspired by Andrej Karpathy’s discussions on knowledge, reasoning, and interconnected intelligence systems. Instead of treating information as isolated text, Wiki LLM focuses on connecting knowledge like a massive Wikipedia-style network, helping AI systems reason better and retrieve information more intelligently. We’ll also look at how modern AI is evolving from traditional search engines into knowledge-driven systems powered by context, relationships, and structured information. From Obsidian-style note linking to knowledge graphs and AI memory systems, this concept could shape the future of intelligent AI assistants. In this video, you’ll learn: • How AI evolved from search engines to knowledge systems • What is Wiki LLM? • How interconnected knowledge improves AI reasoning • Difference between normal chatbots and knowledge-grounded AI systems • How Wiki LLM setups work with notes, memor