The kaboom already happened on user-generated media platforms. YouTube, Facebook, tiktok, and so on are flooded with AI-generated videos, photos, sounds, and so on. The sheer volume of this low-quality slop is because AI lowered the barrier of entry for creating content. In this space the progress is not happening through pushing the upper bound of quality higher but by reducing the cost for minimal quality to down to near-0.
So it’s either useless or harmful? Why should we be excited then?
Another perspective for the kaboom is search and programming tasks for the average person.
For the average consumer, LLM chatbots are infinitely better than Google at search-like tasks, and in effect solve that problem. Remember when we had to roll our eyes at dad because he asked Google "what are some cool restaurants?" instead of "nice restaurants SF 2018 reddit"? Well, that is over, he can ask that to ChatGPT and it will make the most effective searches for him, aggregate and answer. Remember when a total noob had to familiarize himself with a language by figuring out hello world, then functions, etc? Now it's over, these people can just draft a toy example of what they want to build with Cursor instantly, tell it to make everything nice and simple, and then have ChatGPT guide them through what is happening.
In some industries you just don't need that much more code quality than what LLMs give you. A quick .bat script doesn't need you to know the best implementation of anything, neither does a Python scraper using only the stdlib, but these were locked behind programming knowledge before LLMs