In a conversation credited to AJ (@techfren), 0xSero discusses local modelsA local model runs on computing infrastructure controlled directly by the user rather than only through a remote model service., AI agents and the security risks that arise when agents access files and network servicesModel containment limits the systems, data, tools, and real-world effects an AI model can reach during testing or use.. He recounts personal experiences of account compromise and an agent exposing filesData privacy governs how personal, confidential, or sensitive information is collected, used, shared, retained, and protected in AI systems..
The discussion examines splitting inference workloads across GPUs, RAM and storageAI model offloading moves selected model weights or runtime state from accelerator memory to system memory or storage., along with hardware interconnectsAI compute infrastructure is the hardware, facilities, networks, power, cooling, storage, and software used to train and run AI models. and experimental local configurations. The reported speeds, prices and hardware claims are personal observations and estimates, not controlled benchmarks or purchasing guarantees.
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