GPT-Research studies how the deployment architecture of AI systems can address safety structurally. On-device inference eliminates external data transmission. Local compute keeps control with the user. These are architectural properties, not policy additions.
"On-device inference means data never leaves the hardware it runs on. That is not a policy decision. It is an architectural one. It makes entire categories of risk structurally impossible."
Lehuy Hoang
Research Scientist at GPT-Research
GPT-Research publishes ongoing work on architectural approaches to AI safety. On-device deployment. Verifiable training methodology. Reproducible model behavior.
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AI capability grows. The question is where it runs and who controls the output. GPT-Research is focused on making on-device the answer.
