Sathvik

I wrote this brief talk on why “augmenting diversity” with LLMs is empirically unsubstantiable, conceptually flawed, and epistemically harmful and a nice surprise to see the organisers have made it public synthetic-data-workshop.github.io/papers/13.pdf

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Now reading 📖 Cruz, Nicole (2026). Illusions of Understanding from Outsourcing Thinking to LLMs. Computational Brain & Behavior doi.org/10.1007/s421... 1/🧵

Illusions of Understanding from Outsourcing Thinking to LLMs - Computational Brain & Behavior doi.org

AI Weekly's analysis →

• Nicole Cruz argues in Computational Brain & Behavior that outsourcing research activities to LLMs raises the risk of avoidable illusions of understanding.
• The paper's claim is that LLMs can be useful but cannot think, and their use can undermine one's own thinking and understanding.
• Cruz points to precision, transparency, domain expertise and careful critical thinking as the antidotes, and notes no LLMs were used to write the paper.

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