Running hallucination detection on a $200 GPU (RTX 3050, 4GB)
SMRTR summary
A new geometric auditing system detects AI hallucinations by monitoring "anchor drift" in language models' hidden states, achieving 88% precision and 54% recall while adding only 1% computational overhead. The lightweight detection method runs on consumer hardware like RTX 3050 GPUs and successfully identifies false outputs including non-existent facts and fabricated citations.
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