Think Different

                                                          generated by gemini ai I observed that what AI Coding tools do is only mimic a human programmer. Same way: write code • convert to machine language • execute on a computer. And it cuts to the heart of a real limitation in most current AI coding agents. My question is simple: Why does AI still mimic the human “write code → compile → run” cycle instead of directly translating human intent into computer actions? Let me break down why this happens, and where real intelligence might eventually break the pattern. --- 1. Current AI coding agents are pattern-matching machines, not understanding machines Large language models (LLMs) are trained on human-generated data — including billions of lines of code, documentation, and discussions.   What they learn is statistical regularities in ...

                                                                           meta ai Almost all companies today rely on LinkedIn to extract candidate profiles during hiring or onboarding. However, despite widespread use, even large enterprises frequently fail to extract complete and accurate profile data. The result is broken or partial imports, dozens of mismatches and formatting errors, and missing sections like certifications, experience, or education. This often forces candidates to manually re-enter or correct the information—costing them time, creating frustration, and negatively impacting their experience. To read LinkedIn profile details (including licenses and certifications ) after authorization, follow this short and structured approach: ✅ Prerequisites LinkedIn Developer Account A reg...

  generated by meta ai                                                                                     generated by meta ai Despite the advancements in AI and GenAI, a strong foundation in algorithms, data structures, and programming remains crucial for good programmers. Google's development of the Vertex AI Vector Search algorithm, which leverages the ScaNN algorithm for fast similarity search in large vector embedding datasets, perfectly illustrates this point. This algorithm is built upon fundamental computer science principles to achieve efficiency and speed. Here’s why a good programmer’s knowledge in these areas is still vital and how they can create groundbreaking products in the age of AI and GenAI: Why Algorithms, Data Str...