# Do Generative AI Models Need Rethinking?

As the sun rises and sets, so does the hype and hope around that glittering gem called generative AI. You know, that wonderful technology that was supposed to be the “next big thing.” Well, now some businesses, who bet their chips on this promise, are raising their palms and saying: “What’s up, AI? You had one job!” This comes from a report from Axios, highlighting the love-hate relationship blossoming between businesses and their temperamental AI companions.

## Key Points from the Axios Report:

– The hype train for generative AI may be running out of steam. The bubble of expectation seems to be floating towards a rather pointy needle of reality.

– Several businesses that yodeled from the mountaintops and threw all their marbles into generative AI are now rummaging around in the grass, searching for their lost expectations.

– The shortcomings of the technology have begun to gnaw at the edges of the promise it held, like a mouse nibbling at a big ol’ block of AI cheddar.

– Large language models such as ChatGPT are proving to be a tad bit unpredictable. That’s like hiring a comedy writer who delivers knock-knock jokes one moment and existential crises the next – not what you had in mind, surely!

# Closing Thoughts:

So, is the party over for generative AI? Should we bury it next to other once-shiny promises like hoverboards and zero-calorie chocolate? Well, don’t dust off the shovel just yet. As with many things tech, setbacks are often just stepping stones to improvement. It seems this is just a wake-up call for AI scientists to tweak, tweak and tweak again. Even our AI friends need a bit of tough love to reach their potential. After all, Rome wasn’t built in a day, and neither will our AI utopia be. Let’s keep the faith, folks! AI will learn, grow, and hopefully – stop telling knock-knock jokes when we ask it to draft quarterly reports.