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\n“The internet isn’t changing because of algorithms cherry-picking a rarified few posts or photos or news items to show us. Rather, thanks to AI slop, the internet is changing because of a massive, mechanical, undertheorized, and surprisingly uniform process in which a hundred thousand different recommendation models all over the internet are all optimizing for the lowest common denominator at once,” says Clive Thompson in his recent op-ed featured in Wired.<\/p>\n
He makes a compelling point about the evolution of the internet. The nefarious assumption here is that numerous algorithms weave their magic, inducing our mouse clicks and off-the-cuff likes to bring us tailored content that we never asked for, but we’re enthralled by. However, in this realm dominated by ‘artificial intelligence,’ the truth is far from cherry-picking the cre\u0300me de la cre\u0300me of individual preferences.<\/p>\n
The hovering notion of ‘AI slop’ is a harsh reality, a byproduct of the visible machinations we get served. It’s like the bizarre stew created through a robotic kitchen’s failings\u2014devoid of any human touch\u2014that somehow, against better judgment, compels us to gulp it down. Hiding under the grand theory of optimization, these algorithms, Thompson reckons, are all charging toward the lowest common denominator, putting the ‘mass’ in mass consumption. Interesting, isn’t it? <\/p>\n
Thompson takes us through his journey of watching paint-dry videos\u2014dryly entertaining, he believes\u2014and how that exploration resulted in an overabundance of similar content. The Youtube suggestion tool he likens to a “drunk A.I,” that took his curiosity-fueled indulgence as a license to inundate him with paint-drying recommendations ad-infinitum. It’s not about personal preferences anymore, Thompson argues. It’s about feeding the constantly churning machinery of artificial intelligence with more slop to process, more content to homogenize, and more of the internet turned into the AI’s personal feeding ground.<\/p>\n
Through his telling, Thompson offers an insight into the otherwise unfathomable workings of AI, shedding light on how it’s not catering to our individual quirks but coalescing our choices into a uniform, indistinct mass. The result? It’s not a finely tuned internet experience that echoes each user’s tastes; it’s a global cafeteria serving bland, vaguely familiar meals to all. Cheers to that!
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