As a substitute we got AI slop, chatbot psychosis, and tools that urgently prompt you to jot down higher email newsletters. Perhaps we got what we deserved. Or possibly we’d like to reevaluate what AI is for.
That’s the truth at the center of a brand new series of stories, published today, called Hype Correction. We accept that AI continues to be the most popular ticket on the town, nevertheless it’s time to re-set our expectations.
As my colleague Will Douglas Heaven puts it within the package’s intro essay, “You possibly can’t help but wonder: When the wow factor is gone, what’s left? How will we view this technology a yr or five from now? Will we predict it was well worth the colossal costs, each financial and environmental?”
Elsewhere within the package, James O’Donnell looks at Sam Altman, the last word AI hype man, through the medium of his own words. And Alex Heath explains the AI bubble, laying out for us what all of it means and what we should always look out for.
Michelle Kim analyzes certainly one of the most important claims within the AI hype cycle: that AI would completely eliminate the necessity for certain classes of jobs. If ChatGPT can pass the bar, surely which means it’s going to replace lawyers? Well, not yet, and possibly not ever.
Similarly, Edd Gent tackles the massive query around AI coding. Is it nearly as good because it sounds? Seems the jury continues to be out. And elsewhere David Rotman looks on the real-world work that should be done before AI materials discovery has its breakthrough ChatGPT moment.
