We put up with bad software all the time. Anyone who has raged against their enterprise travel booking machine or tried to decipher the interface to their corporate tool for logging employee feedback knows what I’m talking about. Despite these problems, we continue to use (and, let’s be honest, write) bad software. Yet when it comes to large language models, ChatGPT, and other aspects of our generative AI (GenAI) universe, we don’t seem to accord the same level of patience. As developer Simon Willison notes, “While normally you would see people complain about how hard software is to use, in this case [of GenAI], people having trouble getting good results instead assume that it’s actually useless and give up on it entirely.”
To read this article in full, please click here