Source: Upstartsmedia
TBC is embedding cultured neurons into hybrid chip-petri systems to use biological computation directly in AI training loops—a pragmatic departure from pure silicon that exploits how actual brain tissue processes information faster and more efficiently than digital emulation. This is a resource play: biological systems consume less power and scale differently than GPUs, which matters as AI infrastructure costs spiral and energy constraints tighten. The risk is whether these living networks remain stable and reproducible at scale, but the bet is clear: biology has solved optimization problems silicon is still brute-forcing.