[IN] MULTIMODAL STIMULUS
Source: 72 hours of raw audio captured in the pneumatic tube network of an abandoned Parisian hospital, combined with microscopic fluid dynamics of synthetic Physarum polycephalum (slime mold) seeking glucose.
The AI was tasked with "listening" to the architectural decay (pneumatic pressure differentials) and "watching" the biological foraging, forcing a cross-modal synesthesia.
THEORETICAL FRAMEWORK
By mapping the acoustic resonance of obsolete medical infrastructure onto the growth algorithms of a single-celled organism, we ask: How does biology interpret the ghosts of human engineering?
The model acts as a transducer, taking the acoustic stress of the hospital tubes (Input A) and restricting the topological growth vectors of the slime mold (Input B) to generate a novel architectural blueprint.
[OUT] GENERATIVE TOPOLOGY
The resulting artifact is an SVG structural mapping. The glowing nodes represent acoustic pressure spikes (pneumatic echoes). The organic green lines are the calculated paths the slime mold takes to avoid sonic turbulence, resulting in a bio-optimized routing algorithm.
PROTOCOL EXTRACTION LOG
> INIT_FLASH_3.7_MULTIMODAL_ENGINE
> BINDING: audio_tensor (hospital_pneumatics.wav)
> BINDING: vision_tensor (physarum_growth_timelapse.mp4)
> EXECUTING CROSS-ATTENTION...
[!] ANOMALY DETECTED IN ROUTING ALGORITHM.
The biological simulation is attempting to build cellular walls to buffer the 400Hz frequency spikes of the pneumatic vacuum.
> COMPILING BIO-STRUCTURAL BLUEPRINT:
- Node Density: 4.2 g/cm³ at high decibel intersections.
- Mycelial tensile strength adapts to simulate acoustic dampening foam.
- STATUS: Ready for 3D bioprinting in chitin-infused hydrogel.