When you consider the resources required to train, run, and oversee generative AI tools, you have to ask whether the rewards justify the consequences. While in theory it is possible to use smart machinery to get things done, at what point is doing so actually profitable — and when do the drawbacks outweigh the benefits?
This is something we’re going to discover soon, as the hype behind systems such as ChatGPT runs into real-world deployment. As with everything when it comes to rolling out any new and advanced human technology, there will be some tasks we find the tech can’t do well and unforeseen consequences.
To read this article in full, please click here