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❯ DineshKumar's Blog
AI vs GenAI Debate
As an engineering leader working on advanced AI and distributed systems, I’ve witnessed firsthand how confusing the boundaries can be between traditional AI and the emerging wave of Generative AI.
Your vector database lost a crucial relationship
You indexed 50,000 customer support documents into a vector database. The model retrieves relevant chunks and answers questions. Works great for retrieval.
Your LLM can do math but it’s confidently wrong about it
You ask Claude: “If I have 5 apples and you give me 3 more, then I give you back 2, how many do I have?”
Your AI agent is about to cost you $10k because it made a bad decision
You built a procurement agent that decides which vendors to buy from. It uses RAG to search historical vendor performance, reasons about cost vs. quality, and makes recommendations. You tested it on 50 cases and it seemed great.
You just wasted 2 hours on a task an AI could have done in 2 minutes
You were refactoring a Go service. Simple task: rename a function across 40 files, update all tests, fix all imports. You could use find-and-replace, but it’s error-prone. Instead, you did it manually, file by file, paranoid about breaking something.
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