I think the main takeaway from the LLM Agent era is that a lot of human work can be expressed as a search problem: trying approaches that work, and settling on

I think the main takeaway from the LLM Agent era is that a lot of human work can be expressed as a search problem: trying approaches that work, and settling on one that accomplishes your goal. Being skilled is akin to having a better heuristic and picking better search paths. And LLMs can reproduce this as long as the end-result is verifiable in some way, even if it's loose: 'The generated code is secure, if a different LLM failed to breach it in 5M tokens'.