What I learned today

Agentic AI Crash Course Everything you need to know about Agentic AI in the real world  🧭 Course Overview Understand how agentic systems differ from traditional generative AI and how to deploy them effectively in real-world scenarios, from product design to enterprise applications. 🧱 Course Parts 📘 Part 1: What Are AI Agents Anyway? On the difference between generative AI vs. agentic AI, including core functions, decision autonomy, and deployment implications. 🧩 Part 2: The 4 Types of Agentic Systems (and When to Use Them) A typology of agentic architectures and how to match them to domain-specific constraints. 🎓 Advanced Video Lectures 🛠 Core System Design & Applications Master Generative AI System Design Why AI Agents Aren’t Enough for Real-World Applications Designing Agentic AI Applications for Enterprise Use Cases Building Agentic AI Applications in 2025 Evaluating Agentic AI Applications: Beyond Vibe Checks 🏢 Product & Enterprise Implementation ...

  Cultural Evolution: How It Really Works Cultural Models Compared Preface: The Drift Behind the Story Why "cultural evolution" needs a rethink Beyond Darwin: from adaptation to recursion Signal inheritance, forgetting, and the illusion of progress Part I: The Standard Model and Its Limits 1. The Learning Species Norms, imitation, prestige bias Teaching as scaffolded behavior How culture compounds, sometimes 2. The Institutional Lens Institutions as memory aids Rules, rituals, roles Path dependence and adaptation 3. Where It Breaks The problem of forgetting Cultural bottlenecks and symbolic overload When memory systems fail Part II: Alternative Logics of Cultural Change 4. Lived Culture and Language Everett’s Pirahã and the refusal of abstraction Language as a social technology Syntax, recursion, and their cultural rejection 5. Collapse as a Feature Civilizations don’t evolve—they loop Drift, exhaustion...