> History is littered with similar cases where the abstraction layer ends up getting lifted, and people struggle with getting accustomed to working at that higher abstraction level.
But there's no abstraction layer that ends up getting lifted. When I use a library like SDL or a standard like POSIX, I don't tend to look at the underlying implementation. Instead I work with the high level concepts that they come up with. There's no such things with AI tooling. The most similar is when fully vibing software and everyone knows the quality of the result.
I've learned something at every abstraction layer in computing from electronics (hardware), theory of computation (software) to high level programming languages with their paradigms. Same with several domains embodied by libraries. LLM tooling is more like shamanic ritual than engineering.
But there's no abstraction layer that ends up getting lifted. When I use a library like SDL or a standard like POSIX, I don't tend to look at the underlying implementation. Instead I work with the high level concepts that they come up with. There's no such things with AI tooling. The most similar is when fully vibing software and everyone knows the quality of the result.
I've learned something at every abstraction layer in computing from electronics (hardware), theory of computation (software) to high level programming languages with their paradigms. Same with several domains embodied by libraries. LLM tooling is more like shamanic ritual than engineering.