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://www.whatsapp.com/channel/0029... --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 🔥 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, memory, and linked knowledge • Why context and structured knowledge matter in future AI systems • A practical career takeaway for the AI era Timestamp: 00:00 Intro 01:29 Agenda 02:35 The Evolution 05:08 What is Wiki Llm ? 06:47 Wiki Llm Setup 09:36 Steps to Build Wiki Llm 16:21 After 20 Minutes 20:06 Working Test 24:59 Takeaway 26:27 Summary -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 📢 Don't forget to Like 👍, Comment 💬 & Subscribe 🔔 for more career insights! 📤 Share this podcast with friends and colleagues who want to break into the world of data science and succeed in the future job market. Andrej Karpathy Tamil Andrej Karpathy Wiki LLM Wiki LLM Explained Tamil Andrej Karpathy AI Ideas LLM Wiki Tutorial Tamil What is Wiki LLM Knowledge Base AI Tamil AI Knowledge Graph Tamil Karpathy LLM Wiki Tamil Obsidian AI Workflow Tamil AI Second Brain Tamil LLM Knowledge Base Personal AI Knowledge System RAG vs Wiki LLM Andrej Karpathy RAG Future of RAG Tamil Claude + Obsidian Workflow AI Research Workflow Tamil Knowledge Grounded LLM AI Memory Systems Tamil Persistent Memory AI LLM Wiki vs RAG AI Notes System Tamil Andrej Karpathy Latest AI Agents Tamil AI Productivity Tamil Obsidian for AI Notes AI Learning System Tamil AI Research Assistant Tamil Wikipedia Style AI System AI Knowledge Management AI Compounding Knowledge Karpathy AI Tamil Large Language Models Tamil AI Tools for Developers Tamil Future of AI Knowledge Systems AI Workflow Automation Tamil Claude AI Knowledge Base LLM Powered Wiki AI Engineering Tamil AI Career Tamil AI Tamil Channel Tamil Tech AI AI Explained in Tamil Generative AI Tamil AI Tutorials Tamil LLM Tutorial Tamil Artificial Intelligence Tamil AI Trends 2026 Tamil AI Tools 2026 Tamil Andrej Karpathy Obsidian AI Personal Wiki Tamil