GPT in my opinion has not yet proved that its efficiency as a tool to expedite workflow as a definitive “paradigm shift” in tech (either positive/negative).

Technology has never been stagnate, to assume that the expedition of efficient infrastructure or solutions involving inexpensive python code is to also make the assumption that others are not able to do the exact same task in completely different ways. For other users, the background work in the described scenario may be quickly overcome by individual or cumulative expertise of GPT users.

How can such complex, uniquely adhoc approaches to solutions such as the one described in the OP truly offset the development of new technology? When the language model depends on the learnt behavior of existing technology?