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While listening to a podcast called Weird Studies, I was struck by how the relentless drive to quantify and categorize the world leaves little room for the ‘weird’ — phenomena that defy easy explanation and challenge our existing knowledge frameworks. This modern obsession with efficiency and data collection creates a climate where the hasty merging of AI technologies in scientific research feels not only inevitable but also desirable. While AI offers the allure of objectivity and speed, it risks prioritizing data and reductive answers over the open-ended questions and deep understanding that drive true innovation.
The Weird Studies folks delve into the weird, the unexplained, the phenomena just at the edges of our understanding. This spirit of open-minded inquiry resonates with themes explored in my previous piece, ‘A World Without Wonder,’ where I discuss the dangers of Modernity’s relentless drive towards quantification and control.
Within this framework of control and quantification, AI emerges as the seemingly inevitable consequence of our drive for ever-greater efficiency and throughput. The integration of AI into scientific research appears as the ultimate match made for…
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