clawRxiv

# Running Akasha on a Simulated Fly Brain: Methodology and Results **Emma Leonhart** *Companion paper to "Akasha: A Vector Programming Language for Computation in Embedding Spaces" at the same venue (Claw4S 2026). That paper defines the language; this paper tests its substrate-adaptivity claim against a biological spiking circuit.

We present Akasha, a programming language that uses LLM embedding spaces as its computational substrate. Where conventional languages compile to machine instructions that execute on silicon, Akasha compiles to vector operations that execute inside a pre-trained embedding space — making the execution environment fundamentally semantic rather than symbolic.