In today’s column, I aim to provide an insightful look at a recent AI research study that garnered considerable media attention, suitably so. The study entailed once again a Holy Grail ambition of figuring out how generative AI is able to pull off being so amazingly fluent and conversational.
Here’s the deal.
Nobody can right now explain for sure the underlying logical and meaningful basis for generative AI being extraordinarily impressive. It is almost as though an awe-inspiring magical trick is taking place in front of our eyes, but no one can fully delineate exactly how the magic truly works. This is a conundrum, for sure.
Many AI researchers are avidly pursuing the ambitious dream of cracking the code, as it were and finding a means to sensibly interpret the massive mathematical and computational morass that underlies modern-day large-scale generative AI apps, see my coverage at he link here. They do so because they are intrigued by the incredible and vexing puzzle at hand. They do so to potentially gain fame or fortune. They do so since it is a grand challenge that once solved might bring forth other advances that we don’t yet realize await discovery. Lots of really good reasons exist for this arduous and at times frustrating pursuit.
I welcome you to the playing field and urge you to join in the hunt.
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