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 ...

In BNY (formerly BNY Mellon), Eliza is the firm’s proprietary, enterprise-wide AI platform. It is named after Elizabeth "Eliza" Hamilton , the wife of Alexander Hamilton (the bank’s founder), symbolizing the union of the bank’s historic roots with modern technology. Here is a breakdown of what it is, how it’s used, and why/how they built it: 1. What is Eliza? Eliza is an "AI Operating System" or a centralized marketplace for AI solutions within the bank. Rather than being just one chatbot (like a corporate ChatGPT), it is a platform that allows employees to access various Large Language Models (LLMs) and build their own AI agents to automate complex tasks. 2. What do they do with it? BNY uses Eliza to transform "bankers into part-time engineers." Its applications are broad: AI Agents: Employees build custom agents that can handle multi-step workflows, such as analyzing thousands of pages of financial reports or synthesizing historical market trends....