That's just cocktail party level of thinking. LLMs are getting better at math, code and logic (and marginally better at science and general knowledge) because these are domains that can be objectively verified and thus there is a potentially infinite supply of 'facts' to generate and train on. These are very powerful but ultimately very abstract domains. For everything else the messy real world and its physical bottlenecks gets in the way and there's little reason to expect progress to accelerate. It still takes months to get mice to reproduce and run experiments on, no matter how knowledgeable about biology the models have become.
If anything, in some domains frontier models have become worse - claudisms and chatgpt idioms are making them notoriously bad at prose without a considerable amount of prompting and tweaking.
If anything, in some domains frontier models have become worse - claudisms and chatgpt idioms are making them notoriously bad at prose without a considerable amount of prompting and tweaking.