What do you think about AI?

A post explaining how large language models work states that once an LLM finishes training its weights are strictly read-only, so the model does not learn, adapt, or rewrite its own code while chatting with a user. The post says the model only "thinks" during the split second it takes to run a forward mathematical pass and predict the next token, and that a strict context window and static parameters prevent current models from building true continuous understanding. It concludes that LLMs are powerful pattern-matching tools rather than self-updating intelligences.

AI is an incredible tool, but it’s important to remember what’s actually happening under the hood: Frozen Weights: Once an LLM finishes training, its weights are strictly read-only. The model doesn’t learn, adapt, or rewrite its own code while chatting with you. No Active Inner Life: There’s no mind running in the background when you close the tab. It only “thinks” during the exact split second it takes to run a forward mathematical pass and predict the next token in response to your prompt. Context Limits: Because memory is bound by a strict context window and parameters are static, current models can’t naturally evolve or build true continuous understanding. They are powerful pattern-matching tools, not self-updating intelligences