LLMs took the tech industry by storm and changed our relationship with machines. They can answer questions, reason through unfamiliar problems, and increasingly act on our behalf. Yet something still feels absent. A model can process a description of what is, but it does not share the lived context from which we decide what should be. That gap is what I want to explore.
How we got here
In 2022, ChatGPT launched and went viral. Everyone was amazed and excited. Yet by mid-2024, what a pure LLM could do had started to plateau. Then reasoning arrived, and the ceiling moved again. Models stopped merely answering and became genuinely capable of acting on your behalf. Agentic systems followed. Now the ambition is to let models perceive and act in the world more directly. Notice the pattern: every leap came from giving the model more room to see and act. And yet, as amazing as they are, LLMs still don't feel like Artificial General Intelligence (AGI).
How humans operate
Evolution made us state machines of a kind. Every waking moment, you are observing "What is" and deciding to act on "What should be". You are doing it right now, reading this. The mechanism is so sophisticated that we cannot comprehend it, and it is running you regardless. A way of evolution to navigate an infinite world.
