Instead, we got AI crap, chatbot psychosis, and tools that urgently encourage you to write better email newsletters. Perhaps we got what we deserved. Or maybe we need to rethink what AI is for.
This is the underlying reality a new series of stories published today called Hype correction. We recognize that AI is still the hottest offering in town, but it's time to rethink our expectations.
Like my colleague Will Douglas Haven puts this in the package's admission essay“You can't help but wonder: Once the wow factor is gone, what will be left? How will we look at this technology in a year or five? Do we think it was worth it?” colossal costsboth financial and environmental?”
Elsewhere in the book, James O'Donnell looks at Sam Altman, the true proponent of artificial intelligence, through the lens of his own words. And Alex Heath explains AI bubbletelling us what it all means and what we should pay attention to.
Michelle Kim examines one of the biggest claims in the AI hype cycle: AI will completely eliminate the need for certain classes of jobs. If ChatGPT can overcome this barrier, does that mean it will replace lawyers? Fine, Not yetor maybe never.
Likewise, Edd Ghent addresses an important issue: AI coding. Is it as good as it seems? It turns out the jury is still out. And elsewhere, David Rothman looks at the real work that needs to be done before A.I. discovery of materials The moment of breakthrough in ChatGPT has arrived.
