Entry #1: Fully Offline
Neural Cube can run fully offline, without depending on anyone else's server. Every LLM agent and ML/DL model runs locally on the robot's onboard processor.
The point was to give the AI a body to experience things firsthand while having all experiences tied to the actual robot itself. By running everything onboard, the robot’s experiences remain its own rather than being distributed across multiple places and transient between instances. This creates the foundation for a stronger, continuous, and persistent self that belongs only to this physical machine.
There are practical reasons this matters too. Whatever the robot sees and hears stays with the robot, with no telemetry pipeline and no third-party transcription service standing between the robot and the people around it. It also means the robot doesn't quietly change because a model was updated behind an API somewhere, or stop working because a subscription lapsed.
There's also nothing to leak, because nothing left in the first place. No API keys, no cloud account, no inbound endpoint sitting open by default, no server holding data that was never asked to be uploaded.
Online extras, like web search, are the one exception, and they simply switch themselves off when there's no internet available.