Hardware research direction
QHONE
Local AI / Thermal Testing / Trust-First Hardware
Overview
A hardware research direction for local AI: thermal testing, chip constraints, private inference, and the pursuit of a device layer that can run useful intelligence under the user's control.
01
Thermal testing
QHONE begins with a practical question: what can local AI hardware actually sustain? Thermal limits, power draw, enclosure design, and chip behavior matter before the dream becomes a device.
02
Local intelligence
The long-term goal is useful private inference: AI that can run close to the person, keep sensitive memory local, and reduce dependence on distant platforms when local execution is enough.
03
Trust-first device layer
QHONE is not being presented as finished hardware. It is the hardware threshold Qhantom is pursuing: a device layer for human-controlled agents, private context, and visible trust boundaries.