산업ENWired AI
Inside OpenAI’s Race to Catch Up to Claude Code
Why is the biggest name in AI late to the AI coding revolution?
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산업ENThe Verge AI
Anthropic is launching a new think tank amid Pentagon blacklist fight
Amid a weekslong conflict with the Pentagon, resulting in a blacklist and a lawsuit, Anthropic is shaking up its Csuite and research initiatives.
연구ENArXiv AI
MASEval: Extending Multi-Agent Evaluation from Models to Systems
arXiv:2603.08835v1 Announce Type: new Abstract: The rapid adoption of LLMbased agentic systems has produced a rich ecosystem of frameworks smolagents, LangGraph, AutoGen, CAMEL, LlamaIndex, i.a..
연구ENArXiv AI
LDP: An Identity-Aware Protocol for Multi-Agent LLM Systems
arXiv:2603.08852v1 Announce Type: new Abstract: As multiagent AI systems grow in complexity, the protocols connecting them constrain their capabilities.
연구ENArXiv AI
Quantifying the Accuracy and Cost Impact of Design Decisions in Budget-Constrained Agentic LLM Search
arXiv:2603.08877v1 Announce Type: new Abstract: Agentic RetrievalAugmented Generation RAG systems combine iterative search, planning prompts, and retrieval backends, but deployed settings impose explicit budgets on tool calls and completion tokens.
연구ENArXiv AI
Interpretable Markov-Based Spatiotemporal Risk Surfaces for Missing-Child Search Planning with Reinforcement Learning and LLM-Based Quality Assurance
arXiv:2603.08933v1 Announce Type: new Abstract: The first 72 hours of a missingchild investigation are critical for successful recovery. However, law enforcement agencies often face fragmented, unstructured data and a lack of dynamic, geospatial predictive tools.
연구ENArXiv AI
AgentOS: From Application Silos to a Natural Language-Driven Data Ecosystem
arXiv:2603.08938v1 Announce Type: new Abstract: The rapid emergence of opensource, locally hosted intelligent agents marks a critical inflection point in humancomputer interaction.
연구ENArXiv AI
A Consensus-Driven Multi-LLM Pipeline for Missing-Person Investigations
arXiv:2603.08954v1 Announce Type: new Abstract: The first 72 hours of a missingperson investigation are critical for successful recovery. Guardian is an endtoend system designed to support missingchild investigation and early search planning.
연구ENArXiv AI
The FABRIC Strategy for Verifying Neural Feedback Systems
arXiv:2603.08964v1 Announce Type: new Abstract: Forward reachability analysis is a dominant approach for verifying reachavoid specifications in neural feedback systems, i.e., dynamical systems controlled by neural networks, and a number of directions have been proposed and studied.
연구ENArXiv AI
Meissa: Multi-modal Medical Agentic Intelligence
arXiv:2603.09018v1 Announce Type: new Abstract: Multimodal large language models MMLLMs have shown strong performance in medical image understanding and clinical reasoning. Recent medical agent systems extend them with tool use and multiagent collaboration, enabling complex decisionmaking.
연구ENArXiv AI
MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games
arXiv:2603.09022v1 Announce Type: new Abstract: Multiturn, multiagent LLM game evaluations often exhibit substantial runtorun variance. In longhorizon interactions, small early deviations compound across turns and are amplified by multiagent coupling.
연구ENArXiv AI
Time, Identity and Consciousness in Language Model Agents
arXiv:2603.09043v1 Announce Type: new Abstract: Machine consciousness evaluations mostly see behavior. For language model agents that behavior is language and tool use.