Words matter when you are drawing the boundary between what a robot learns and what it must never do. We use four.
Four words
- Instinct is innate and fixed. In our architecture it is Inztinct Core.
- Intuition is learned fast reflex. It is quick, context aware and updated only through signed releases.
- Intellect is deliberate reasoning. It is the planner, and the part most exposed to attack.
- Intelligence is all of it together, held inside a boundary the AI cannot override.
What the leading models already do
Figure's Helix pairs a System 2, an onboard vision-language model running at 7 to 9 Hz, with a System 1, a fast reactive visuomotor policy running at 200 Hz. NVIDIA's GR00T N1 describes a dual-system architecture too, with a vision-language module as System 2 and a diffusion transformer as System 1, trained together.
Both fast layers are learned. In our vocabulary that makes them intuition, and it is excellent work. We credit these teams for putting the System 1 and System 2 language into robotics.
Where a fixed layer adds something
A learned reflex can be wrong, and a learned reflex can be attacked. A fixed layer cannot be talked into anything, because it does not understand language. We split it into two models: fixed commandments written as measurable limits, and a learned framework that can build new instincts inside them but never grant a permission the commandments forbid.