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Dan explores how the rise of AI is shifting our dominant scientific and rationalist thinking styles towards new modes better suited for an engineering-driven era. He identifies five emerging thinking patterns: prioritizing sequences over essences, recognizing patterns rather than rules, cultivating intuition over rigid processes, treating creation as gardening instead of sculpting, and prioritizing predictions over explanations. This essay proposes that AI's transition from software instructions to model training is catalyzing a paradigm shift in how we approach problem-solving and understand the world.
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Five New Thinking Styles for Working With Thinking Machines →
Writer
Dan Shipper
Summary
Dan explores how the rise of AI is shifting our dominant scientific and rationalist thinking styles towards new modes better suited for an engineering-driven era. He identifies five emerging thinking patterns: prioritizing sequences over essences, recognizing patterns rather than rules, cultivating intuition over rigid processes, treating creation as gardening instead of sculpting, and prioritizing predictions over explanations. This essay proposes that AI's transition from software instructions to model training is catalyzing a paradigm shift in how we approach problem-solving and understand the world.
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I love the framing of creation being more like gardening than sculpting in the age of AI. It reminds me of when I used to create music back in college. I often was not writing every single note. I would toss everything into a pot and hope something good would happen.
I love the framing of creation being more like gardening than sculpting in the age of AI. It reminds me of when I used to create music back in college. I often was not writing every single note. I would toss everything into a pot and hope something good would happen.