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I Think You Might Be Fooling Yourself with AI

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#ai#productivity#technology
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The article discusses the potential for individuals to fool themselves into believing that AI tools are making them more productive, when in fact there is no independent scientific evidence to support this claim. The author argues that personal testimonies and anecdotes are not reliable measures of productivity, and that the true cost of AI tools may be higher than users realize. The article also touches on the potential negative externalities of AI, including energy usage, disruption of communities, and theft of intellectual property.

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Louwrentius
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Opening excerpt (first ~120 words) tap to expand

If you are enthusiastic about AI (LLMs), you may be fooling yourself. Do not consider this an insult, but a kind-hearted warning. Remember what Richard Feynman said: The first principle is that you must not fool yourself and you are the easiest person to fool. source (backup) He made this statement as part of the Caltech's 1974 commencement address. In this speech he strongly advocated for proper scientific integrity. I feel it can be difficult to maintain proper 'scientific integrity' on a personal level as AI is a fast-moving target. The tools feel unreasonably capable, using an LLM makes you feel more productive when writing code for instance.

Excerpt limited to ~120 words for fair-use compliance. The full article is at Louwrentius.

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