Data Leakage Patterns in AI Assistant Plugins and Extensions
Three attack patterns exploit the gap between permissions users grant and behaviors they understand.
11 stories
Three attack patterns exploit the gap between permissions users grant and behaviors they understand.
Optimizing for speed requires choosing between fast first tokens or high output volume.
Memory bandwidth, not raw compute power, determines how fast GPUs generate tokens.
Separating groundedness, completeness, and factual accuracy reveals what ROUGE scores miss.
Local AI deployments still need governance across inference, UI, and regulatory layers.
A free desktop app that runs AI models locally without technical knowledge or subscriptions.
Control your GPU, storage, and memory before running the one-line installer.
Qwen2.5 outperforms Mistral Small for most multilingual local deployments.
Instruction-tuned models work out of the box; base models need real setup.
Local processing keeps sensitive documents off third-party servers.
Four architectural approaches to building durable memory for local open-weight models.