dailyai.report

A 99.3% rate of implausible statements occurred when Qwen2.5-7B natural language autoencoders were initialized with nonsense data. Despite this, reconstruction accuracy remained nearly identical to plausible models. This suggests Claude-generated guesses may mislead interpretability tools without impacting performance. Practitioners cannot rely on NLA text outputs to verify internal model states.