Do LLMs Fall for Bad Advice? Testing Strategic Resilience in 840 Rounds of Turn-Based Games
This story is from 2026-10-12. It is preserved in the archive; the latest stories are on the live feed.
This is a submission for the Kaggle Benchmarking Challenge TL;DR: I tested whether opponent chat can trick 7 language models into making bad moves in Rock-Paper-Scissors and Tic-Tac-Toe across 840 rounds ($2.46 total cost). Two big surprises: Frontier models did not get fooled; they counter-attacke…
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- 2026-10-12 05:33 · DEV Community — Machine Learning
Do LLMs Fall for Bad Advice? Testing Strategic Resilience in 840 Rounds of Turn-Based Games