Metacognition
Models that watch themselves
Architectures that monitor, critique, and refine their own outputs instead of treating each answer as a one-shot guess.
SifSystems is a small, focused R&D studio exploring metacognitive architectures—systems that coordinate multiple AI models, reason about their own reasoning, and push into the fog at the edge of current science.
Architectures that monitor, critique, and refine their own outputs instead of treating each answer as a one-shot guess.
Coordinating diverse models—from tiny local nets to frontier systems— for robustness, not single-model bravado.
Using AI to map promising but uncertain research directions, distinguishing stable islands from mirages in the mist.