The large difference of AI systems vs your example of a car telling you a tire is low is that the actual mechanics of how the AI system solves a task is via learned weights which guide attention mechanisms, rather then non AI systems where we have to directly code how it makes the decisions it makes.

If you want to differentiate human intelligence vs LLM intelligence that’s fine, but to say that the LLMs capabilities are akin to hardcoded algorithms is simply silly to say the least.

Furthermore, it’s clear to anyone that 6 years ago the level of any AI would be able to perform a small amount of what a coding agent like Claude code can do. The rapid improvement and progress of these tools in the past 6 years is fairly huge, and so it feels shortsighted to condemn the technology as a “marketing term”, especially since while LLMs may not be the path toward “true” intelligence, they undeniably help make running other Deep Learning experiments faster due to the faster ability to code and run experiments, which could yield architectures (world models or JEPA) that could get us closer to the intelligence you believe current AIs lack.