China publishes 'landmark paper' on AI-to-AI technique that kicks human 'bottleneck' out of the loop and replaces us with an AI 'modem' — C2C brainwave direct connection achieves 150% boost in inference speed

Cache-to-Cache lets separate AI models exchange internal information without generating text

A learned Fuser converts one model’s internal data for another

C2C uses selective gating to control which layers receive information

Researchers from Tsinghua University have published a paper describing a technique that lets separate AI models exchange information without producing any text.

The method, called Cache-to-Cache (C2C), has already been accepted at ICLR 2026 and ships with open-source code available to developers.

It targets a specific inefficiency present whenever…