AI BriefingMostik.AI: LLM Latent State Communication
Key point
Russian researchers have unveiled Mostik.AI, a technology that directly transmits latent states between LLMs without text.
Details
Russian research lab Mostik.AI has unveiled a technology that directly transmits latent states between Large Language Models (LLMs) without text output. This approach leverages internal reasoning processes confirmed in Anthropic's research, enabling smaller models to inherit the reasoning capabilities of larger models to generate high-quality outputs.
How It Works
Only a trained 'bridge' module is added between the two models to connect their latent spaces. During this process, the weights of both models remain unchanged (frozen), and no data exchange in text form occurs.
Potential Applications
While the current implementation keeps model weights frozen, future work could involve unfreezing the smaller model's weights for training, extending to distillation and training methods that directly learn the larger model's latent space representations without text conversion. This is expected to reduce text encoding/decoding overhead and enable more efficient model training.
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