New AI-to-AI technique replaces human 'bottleneck' with an AI 'modem'

Chinese Researchers Create Direct Brainwave-Style Communication Between AI Models

Chinese researchers developed a C2C (context-to-context) protocol enabling direct brainwave-style communication between AI models, bypassing human or text-based intermediaries. Using specialized adapters, the technique achieves up to 150% faster inference, reduced latency, better coherence, and 30-40% energy savings. This innovation could transform multi-model AI systems into integrated, efficient networks.

New AI-to-AI technique replaces human 'bottleneck' with an AI 'modem'

Cache-to-Cache lets separate AI models exchange internal information without generating textA learned Fuser converts one model’s internal data for anotherC2C uses selective gating to control which layers receive informationResearchers 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…

The Chinese teach artificial intelligence to communicate without words - models can transfer memory contents to each other and work 150% faster

Scientists at China’s Tsinghua University have proposed a method that allows different artificial intelligence models to communicate directly with each other without generating text. The approach is called cache-to-cache (C2C), and the source code for the solution is already available to developers. Photo credit: Steve A Johnson / unsplash.com Now, when multiple language models work […]