We rely on the machine to do the hard work of analysis and synthesis, and we don’t engage in critical and reflective thinking ourselves. We also miss the opportunity to learn from our mistakes and feedback and the chance to develop our own style.
Ethan Mollick • Co-Intelligence: Living and Working with AI
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 moreTIME • AI and the Rise of Mediocrity
A less cynical way to think about the postmodern tech revolution is that it hasn’t completely subsumed the real, brilliant, chaotic world, but merely emphasized it as vital and precious. Artificial intelligence, in my view, continues this tradition. The only singularity it can truly achieve is one that understands humanity at its most inhuman (and ... See more