I think you are vastly underestimating the emergent behaviours in frontier foundational models and should never say never.

Remember, the basis of these models is unsupervised training, which, at sufficient scale, gives it the ability to to detect pattern anomalies out of context.

For example, LLMs have struggled with generalized abstract problem solving, such as "mystery blocks world" that classical AI planners dating back 20+ years or more are better at solving. Well, that's rapidly changing: https://arxiv.org/html/2511.09378v1

No idea how underestimate things are, but marketing terms like "frontier foundational models" don't help to foster trust in a domain hyperhyped.

That is, even if there are cool things that LLM make now more affordable, the level of bullshit marketing attached to it is also very high which makes far harder to make a noise filter.