Playing to the Algorithm: Are We Training the Machines or…?

It is our human inclination to want to look good. Our desire to impress keeps the fashion industry alive, it also motivates many of us to work or study hard, and there are billions of dollars to be made from our desperation to look visibly fit and healthy. So, it should come as no surprise that as algorithms hold more and more sway over decision-making and the conferral of status (e.g. via credit or hiring decisions), many of us are keen to put our best foot forward and play into their discernible preferences. 

This is certainly true of those in business, as discovered by the authors of the working paper How to Talk When A Machine is Listening: Corporate Disclosure in the Age of AI. An article posted by the National Bureau of Economic Research describes the study’s findings:

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GPT-3: What Is All the Fuss About?

Alan Turing statue, Manchester, UK

“GPT-3 is not a mind, but it is also not entirely a machine. It’s something else: a statistically abstracted representation of the contents of millions of minds, as expressed in their writing.”

Regini Rini, Philosopher 

In recent years, the AI circus really has come to town and we’ve been treated to a veritable parade of technical aberrations seeking to dazzle us with their human-like intelligence. Many of these sideshows have been “embodied” AI, where the physical form usually functions as a cunning disguise for a clunky, pre-programmed bot. Like the world’s first “AI anchor”, launched by a Chinese TV network and — how could we ever forget — Sophia, Saudi Arabia’s first robotic citizen. 

But last month there was a furore around something altogether more serious. A system The Verge called, “an invention that could end up defining the decade to come.” It’s name is GPT-3, and it could certainly make our future a lot more complicated. 

So, what is all the fuss about? And how might this supposed tectonic shift in technological development change the lives of the rest of us ?  

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