We’re far from replacing humans for many tasks now being delegated to large language models. That doesn’t mean LLMs can’t be helpful; it just means they’re being used wrong. The key is applying them to tasks they’re well-suited to, such as analyzing, synthesizing, and manipulating data, and not for making important decisions on behalf of people.

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Some may worry about whether powerful new neural-network models for generating text and images will replace workers and artists. But this can be true only if beauty and creativity are measurable by one-dimensional metrics, if art and human endeavors are static forms whose rules and objectives do not change, if we reject the possibility of meaning a... See more

Where and how will humans show the eminence of our species when AI becomes better than us at everything? I feel sort of desperate for some human-centric optimism here because the whole project of being human feels really weird as our specialness becomes automated.  

A couple of observations. First, I do think the last mile is the most difficu

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Use the tools if you must. But a better use of your extra energy — such as it is — is to live the gap between human and AI. Can an AI gather, synthesize, calculate, and even speculate faster than we can? Yes. Can it do all those things better than we can? Maybe. Can it be more interesting, unexpected, artful, or meaningful? Well that’s just a matte... See more