#ai

Analyze Asimov's Three Laws of Robotics in the context of modern AI. Law 1: Do no harm. Law 2: Obey orders. Law 3: Protect existence. Paradoxes and loopholes (e.g., The Zeroth Law). Relevance to autonomous vehicles.

Create a dialogue between John Stuart Mill and Immanuel Kant debating a modern ethical dilemma (e.g., AI driving decision). Mill argues for the greater good (outcome). Kant argues for moral duty (rules). Structure: Opening statements, Rebuttals, Closing arguments.

Build AI agents with LangChain. Components: 1. LLM wrapper (OpenAI, Anthropic, local). 2. Prompt templates with variables. 3. Chains for sequential operations. 4. Agents with tool selection. 5. Memory for conversation context. 6. Vector stores for embeddings. 7. Document loaders and splitters. 8. Output parsers for structured data. Use LCEL (LangChain Expression Language) for complex flows and implement human-in-the-loop patterns.