I Think You Might Be Fooling Yourself with AI
This article argues that the perceived productivity gains from using AI tools are often illusory and lack rigorous scientific backing. The author warns against personal bias and suggests that current market layoffs attributed to AI may be mischaracterized.
Why it matters
It challenges the prevailing industry narrative regarding AI-driven productivity, encouraging a more skeptical and data-driven approach to tool adoption.
If you are enthusiastic about AI (LLMs), you may be fooling yourself. Do not consider this an insult, but a kind-hearted warning.
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.
Yet as of today, there is no independent scientific evidence 1 (that I'm aware of) that people or organizations are indeed more productive 2 when using AI.
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