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\n“As we push ever forward in systematising intelligence, we cannot forget that the purpose is not just to build tools that think, but tools that improve human decision-making. And right now, we shittify all over the place.”<\/p>\n
An ironically perceptive observation made by the folks over at Wired as they dive into the profound question – can AI truly steer clear of the booby traps that come with ‘enshittification’?<\/p>\n
The article continues to dissect how our growing obsession with artificial intelligence and machine learning has led to a cluster of machines that produce, more often than not, shoddy recommendations. Now, our much-touted ‘smart’ technology is not exempt from stumbling and fumbling, just as we humans are prone to do.<\/p>\n
We’ve all felt the eerie chill when ads that echo our latest conversations just coincidentally pop up. Frankly, the technological marvel behind it isn’t as ‘digits-from-heaven’ as it is ‘code-and-algorithms-gone-rogue’. There is a whole labyrinth of faulty recommendation algorithms at play that, in a bid to be preemptive, are instead serving up an unappetizing smorgasbord of randomness.<\/p>\n
It’s akin to having a chat with a particularly dense friend who, despite the best intentions, simply can’t understand or produce any content of substance. At some point, one has to wonder – are we cultivating intellectual tools or simply creating electronic jesters?<\/p>\n
Yet, the joy of technological progress doesn\u2019t entirely dim in the light of these shortcomings; rather, it only helps in realizing the need for stronger guardrails around our artificial offspring. Identification and subsequent rectification of these AI foibles are key to minimizing the risk of ‘enshittification’.<\/p>\n
Importantly, the article highlights that AI should essentially serve as an aid for better human decision-making. This is where the balance between human elements and AI could be perfected to create a tool that not only thinks but also enriches our decision-making abilities. <\/p>\n
In essence, it isn’t about creating Skynet or HAL 9000. It’s about paving the way for meaningful collaborations that capitalize on the ability of humans to provide what AI can’t – empathetic judgment, creative inspiration, and an understanding of consequences.<\/p>\n
Here’s hoping the race to the pinnacle of AI’s potential doesn’t devolve into a quagmire of ‘enshittified’ decision-making. So, as we go about building AI that can essentially ‘think’, let’s learn from our past human blunders and yield the helm cautiously. Lest we end up creating AI-driven monstrosities \u2013 serving suggestions of cat litter ingredients for that next gourmet recipe.
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