Why AI may not change the world (too much)... ~
Large language modules have come on to the scene and really shaken up the technology world over the last couple of months, and it is very clear that this technology unlocks a lot of exciting new possibilities.However, I feel like there seems to be a lot of fear and hype around the technology, and I think that it might be a bit premature.
When writing an article for publication, AI can provide you with a summary of the current thinking and definitions, as well as edit the text well. When writing a manual for a board game, the AI does not know the rules, and explaining the rules up-front is the equivalent of writing a manual. AI is great at editing the manual, but the rules need the human element, which means that there is no real change in the way we work when creating brand new documents.
Code captures and formalises real-world business processes. Processes that are so unique and convoluted where a language model won’t be able to capture all the context effectively. So, it might save you a few visits to Stack Overflow and help you type out code more quickly, but a developer would ultimately still need to understand the problem domain and come up with a good solution.
That does not mean that we will not see any disruptive use-cases of text generation. Chatbots, video game NPCs, and interview coaching are just a few of the exciting new innovations we will probably see more of. This is because the way that these tools have evolved over the previous decades has led to interfaces that are optimized to be as simple, fast, direct, and unambiguous as possible. These are all properties that natural language does not really possess. Natural language is very messy, verbose, and ambiguous, and I suspect that anyone with some competency in using the software tools would much prefer the more precise control that the traditional tools give you.
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