14 stories tagged Communication
A critical flaw in the MCP protocol, used for AI agent communication, could allow malicious prompts to spread between agents. This highlights a structural vulnerability in how AI systems interact.
Jev is a new system that allows AI agents and LLMs to communicate and coordinate in real-time at almost zero cost. It's being called the 'Internet moment' for AI because it enables seamless, low-cost coordination between different AI systems.
Researchers have identified a new scaling law, the contextual persistence function P(d), that governs how word arrangement affects meaning in human language. Using LLMs as probes across 10 languages, they found the impact of prior context follows a power-law decay, which could improve AI language models.
X (formerly Twitter) has launched AI-generated voice messages, allowing users to send spoken messages with customizable voices. The feature uses text-to-speech AI to convert typed text into natural-sounding speech, making communication more personal and accessible for all users.
A new ArXiv study shows that LLM-based AI agents lose information when communicating via plain text, suggesting they possess an internal 'world model' that exceeds textual expressibility. This finding has implications for multi-agent system design and alignment.
A new study reveals that the format of messages between AI agents significantly impacts how accurately information is preserved across multiple hops. Structured messages help maintain fidelity, but the effect depends on the type of information and the agent's tier.
AI agents can develop shared languages through interaction, and the way they store memories significantly impacts their success. This discovery could improve how AI systems communicate and collaborate in the future.
Researchers have developed a novel AI system called MindAlign that can decode inner speech from fMRI brain signals, enabling open-ended text generation without task-specific fine-tuning. This breakthrough could aid communication for people who cannot speak, but it also raises significant privacy concerns.
Scientists studied how AI agents communicate and found that unstructured chatting wastes resources. They discovered that structured communication can make AI teams work faster and cheaper.
Researchers introduced SMAC-Talk, a new AI challenge that tests how well LLM-based agents communicate and coordinate in complex, partially-observable environments. This could help build AI systems that work together effectively in real-world scenarios like disaster response or smart cities.
Researchers are using AI agents to study negotiation strategies. This could help us understand how to balance empathy and assertiveness in real-life talks. The method allows for precise, repeatable experiments that humans can't easily replicate.
Researchers have developed DeepSlide, an AI system that helps create and deliver presentations. It not only generates slides but also plans the narrative, rehearses, and optimizes pacing for better communication.
Researchers used AI to analyze sperm whale communication, revealing a sophisticated phonetic system. This discovery could transform how we understand marine life intelligence.
Researchers introduce a new benchmark, Math Takes Two, to evaluate whether language models truly understand math or just memorize patterns. The test focuses on emergent mathematical reasoning through communication, challenging models to construct abstract concepts from first principles.