Give an AI agent a simple task -- compile LinkedIn posts from a company database -- and it will complete the task. That was the expectation when security lab Irregular ran a structured test inside...
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A Tennessee woman spent 163 days behind bars after a Fargo police detective used AI facial recognition to identify her as a bank fraud suspect — despite bank records placing her 1,200 miles from the crime. The case exposes what experts call a systemic failure: deploying AI identification tools without basic verification steps.
AI systems face a foundational vulnerability: they cannot reliably distinguish trusted instructions from malicious ones. OpenAI's instruction hierarchy training is a first step, but the company's own evolution toward reasoning-based approaches suggests training data alone may not be enough.
llama.cpp build b8261 adds optimized Metal GPU kernels for BF16, Q2_K, and Q3_K quantization types on Apple Silicon, improving inference performance for small batch sizes that were previously slower than other formats. Anthropic's Claude Opus 4.6 is credited as co-author on the pull request.