Replacing workers with AI? Don't forget the retraining fees • The Register

Comment The lucid ramblings and art synthesized by ChatGPT or Stable Diffusion have captured imaginations and prompted no shortage of controversy over the role generative AI will play in our futures. As we've seen with CNET and Buzzfeed, executives are no less dazzled by AI's creative potential to replace workers with profits. But one of things that's often missed in these conversations is the need to retrain these models regularly or risk them aging into irrelevance, particularly in rapidly evolving environments like the news. ChatGPT, Stable Diffusion, Dall-E-2 and the majority of generative AI today are trained on large datasets and then made available as proof of concepts or exported as a pre-trained model. Let's take Stable Diffusion as an example as it offers a glimpse at just how misleading the scope these models can be.