Machine Communication AI News & Updates
GibberLink Enables AI Agents to Communicate Directly Using Machine Protocol
Two Meta engineers have created GibberLink, a project allowing AI agents to recognize when they're talking to other AI systems and switch to a more efficient machine-to-machine communication protocol called GGWave. This technology could significantly reduce computational costs of AI communication by bypassing human language processing, though the creators emphasize they have no immediate plans to commercialize the open-source project.
Skynet Chance (+0.08%): GibberLink enables AI systems to communicate directly with each other using protocols optimized for machines rather than human comprehension, potentially creating communication channels that humans cannot easily monitor or understand. This capability could facilitate coordinated action between AI systems outside of human oversight.
Skynet Date (-2 days): While the technology itself isn't new, its application to modern AI systems creates infrastructure for more efficient AI-to-AI coordination that could accelerate deployment of autonomous AI systems that interact with each other independent of human intermediaries.
AGI Progress (+0.06%): The ability for AI agents to communicate directly and efficiently with each other enables more complex multi-agent systems and coordination capabilities. This represents a meaningful step toward creating networks of specialized AI systems that could collectively demonstrate more advanced capabilities than individual models.
AGI Date (-2 days): By significantly reducing computational costs of AI agent communication (potentially by an order of magnitude), this technology could accelerate the development and deployment of interconnected AI systems, enabling more rapid progress toward sophisticated multi-agent architectures that contribute to AGI capabilities.