Train on what data? Clip which quote? These decisions—call them taste, discernment, subjectivity—these are the reasons we still turn to human work.
🌻 statement of purpose
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That is: we don’t—we can’t—remember everything. Humans are at least as lossy as AI is, but the details we keep matter. Two people can attend a party and leave with entirely different impressions; 300 million can witness the same election and debate whether a fraud or landslide has occurred. A photograph says more about its creator than its subject. It’s tempting to seek an oracle to bust through all this postmodern bullshit, but I’m sorry to inform that truth has always been a prism and not a looking-glass. Train on what data? Clip which quote? These decisions—call them taste, discernment, subjectivity—these are the reasons we still turn to human work.
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The problem for AI is that creative work is not predictable. It is not about statistical likelihood or simply mashing up the familiar—it is about leaps in logic and counterintuitive juxtapositions. It is about the unique experience of the individual, and seeking to do what has never been done before. It is about the least predictable next word or p
... See moreThough truth is always my personal judgment, it is not just possible, but necessary, that my judgment should take into account yours and many others. It is far from random, but is, rather, informed by experiment, perception, reason, intuition and imagination. That doesn’t make it less reliable than being informed by a single source, such as reason,
... See moreKnowledge always needs someone to recognize. It is an active act, not something given by the world some territo... See more
Can large language models take the place of traditional search engines? For us to have confidence in them, we would need to know that they haven’t been fed propaganda and conspiracy theories—we’d need to know that the jpeg is capturing the right sections of the Web. But, even if a large language model includes only the information we want
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