Every time there is a new type of technological marvel, the hype machine ramps up. Vendors, consultants, and analysts make predictions of how big the new thing will get and the need for companies to buy now and not miss the wave of success that's bound to happen.
It's always a chore to maintain balance. How well will the software work, especially with existing systems? Is it steady and reliable or in a testing stage? What should you do with it?
Generative artificial intelligence has shown some big issues, such as legal questions about using data, hallucination (making things up), and some mediocre results. But there is an additional problem that always happens with the new shiny toy: remembering that other tools might be at least as good and possibly even better in given applications.
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