Summary
AI won’t replace all jobs, but it can help with repetitive tasks. Language models allow us to tap into vast knowledge, freeing us for more creative work. By recognizing our repetitive actions, we can better leverage AI to improve our efficiency.
Highlights
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This is in line with University of Washington linguistics professor Dr. Emily Bender’s idea of the “stochastic parrot”—that language models are just regurgitating sequences of characters probabilistically based on what they’ve seen in their training data, but without really knowing the “meaning” of the characters themselves.
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This shift in how we see the world aligns with what I’ve previously called the allocation economy. As AI takes over these repetitive tasks, our role changes from doing the work ourselves, to deciding what work needs to be done and how to best allocate our resources to do it. In the allocation economy, the key skill becomes knowing how to effectively leverage AI to handle these repetitive elements, freeing us up for more creative and strategic thinking.