Twin trap problem

Counterintuitive is developing “reasoning-native computing” to overcome the limitations of current AI systems. The startup identifies a “twin trap”: unreliable numerical foundations due to accumulated rounding errors and architectural limitations from lack of memory. They are building the first reasoning chip (ARU) and software stack, designed to execute causal logic directly in silicon. This memory-driven approach aims to create deterministic, auditable AI systems, moving beyond probabilistic models, enabling new applications with greater reliability and transparency across sectors like finance and healthcare.