My take on LLMs is as follows: even if its effectiveness scales exponentially with time(it doesn't), so does the complexity of programs with (statistically spea

My take on LLMs is as follows: even if its effectiveness scales exponentially with time(it doesn't), so does the complexity of programs with (statistically speaking) each line of code. Assuming a LLM gets 99% of the lines correct, after 70 lines the chance of having at least one of them wrong is already around 50%. A LLM effective enough to replace a competent human might be so expensive to train and gather data for that it will never achieve a return on investment. Last time I used ChatGPT effectively was to find a library that served a specific purpose. All of the four options it gave me were wrong, but I found what I wanted among the search results when I looked for them.