The Internet is flooded with amazing pictures from the newest version of Midjourney, tens if not hundreds of browser extensions, which should further expand the already almost infinite number of use cases of the ChatGPT. Even OpenAI itself came with the plugins/extensions to go beyond the ChatGPT.
All the new "AI prophets" are drawing a picture of how generative AI may be the final frontier, and who doesn't live the hype will ultimately become obsolete. How programmers will starve because, from this moment onwards, chatGPT can do their 8h job in minutes and almost for free. And if you "connect the dots" by looking at the huge layoffs in the technological sector, you might get the impression that the dark future is upon IT engineers.
What - I believe - is not sufficiently highlighted is that you must ask the right question to get the actual value out of the generative models.
But if you look at the above closely, you will spot a pattern :)
Yes, ChatGPT is a tool, one of many that we can use to do our job faster and/or better. Still, all of the above examples are valid only for those who already know what they are doing, can ask the right question, and can verify and connect the pieces to make the outputs from the chatGPT into an actual solution or product.
Because we all know what generative models actually do - "Make Plausible Fakes" :) (ref: Cassie Kozyrkov, Chief Decision Scientist @ Google)
Here is a short practical example of what asking the right questions means:
And now, try to apply the above to any other domain.
Do you still believe that everyone can do the job that you are doing without knowing what you know?
Do you believe that anyone can actually be a programmer and create code, generate sales strategy and develop an accurate analytical model by using ChatGPT?
Do you believe they would know how to formulate the right question or prompt?
Do you believe they would be able to assess or validate the response they got?