Mostik.ai – latent communication between AI models (mostik.ai)

Mostik.ai has emerged from stealth mode to introduce a groundbreaking communication system between AI models that eliminates the loss of critical internal computations during interactions. Traditionally, language models discard substantial hidden states when passing information, reducing multi-agent communications to mere text exchanges. Mostik's innovative approach allows one model to share its internal states directly with another model through a small, trained bridge, bypassing the need for text-based output. This method has shown significant improvements, with their tests indicating that a small model can enhance its accuracy by up to 50% when paired with a larger model using this hidden state transfer. This development is significant for the AI/ML community as it opens new pathways for multi-agent reinforcement learning, moving beyond the limitations of single-agent training. It paves the way for more efficient collaboration between models, which is crucial as AI systems become increasingly complex. Furthermore, the bridge system offers potential benefits for observability in AI models, enabling researchers to better analyze and intervene in the reasoning processes that occur during model interactions. With plans for further refinement through distillation and specialization techniques, Mostik.ai is positioned at the forefront of the next evolution in AI communication.