산업ENWired AI
I Asked ChatGPT 500 Questions. Here Are the Ads I Saw Most Often
Ads are rolling out across the US on ChatGPT’s free tier. I asked OpenAI's bot 500 questions to see what these ads were like and how they related to my prompts.
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연구ENIEEE Spectrum AI
How NYU’s Quantum Institute Bridges Science and Application
This sponsored article is brought to you by NYU Tandon School of Engineering. Within a 6 mile radius of New York University’s NYU campus, there are more than 500 tech industry giants, banks, and hospitals.
연구ENArXiv AI
ARC-AGI-3: A New Challenge for Frontier Agentic Intelligence
arXiv:2603.24621v1 Announce Type: new Abstract: We introduce ARCAGI3, an interactive benchmark for studying agentic intelligence through novel, abstract, turnbased environments in which agents must explore, infer goals, build internal models of environment dynamics, and plan effective action...
연구ENArXiv AI
When Is Collective Intelligence a Lottery? Multi-Agent Scaling Laws for Memetic Drift in LLMs
arXiv:2603.24676v1 Announce Type: new Abstract: Multiagent systems powered by large language models LLMs are increasingly deployed in settings that shape consequential decisions, both directly and indirectly.
연구ENArXiv AI
AutoSAM: an Agentic Framework for Automating Input File Generation for the SAM Code with Multi-Modal Retrieval-Augmented Generation
arXiv:2603.24736v1 Announce Type: new Abstract: In the design and safety analysis of advanced reactor systems, constructing input files for systemlevel thermalhydraulics codes such as the System Analysis Module SAM remains a laborintensive task.
연구ENArXiv AI
Trust as Monitoring: Evolutionary Dynamics of User Trust and AI Developer Behaviour
arXiv:2603.24742v1 Announce Type: new Abstract: AI safety is an increasingly urgent concern as the capabilities and adoption of AI systems grow.
연구ENArXiv AI
Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach
arXiv:2603.24747v1 Announce Type: new Abstract: The emergence of large language model agents capable of invoking external tools has created urgent need for formal verification of agent protocols.
연구ENArXiv AI
Supervising Ralph Wiggum: Exploring a Metacognitive Co-Regulation Agentic AI Loop for Engineering Design
arXiv:2603.24768v1 Announce Type: new Abstract: The engineering design research community has studied agentic AI systems that use Large Language Model LLM agents to automate the engineering design process. However, these systems are prone to some of the same pathologies that plague humans.
연구ENArXiv AI
ReLope: KL-Regularized LoRA Probes for Multimodal LLM Routing
arXiv:2603.24787v1 Announce Type: new Abstract: Routing has emerged as a promising strategy for balancing performance and cost in large language model LLM systems that combine lightweight models with powerful but expensive large models.
연구ENArXiv AI
Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts
arXiv:2603.24853v1 Announce Type: new Abstract: Ethical debates in AI have primarily focused on backend issues such as data governance, model training, and algorithmic decisionmaking.
연구ENArXiv AI
SentinelAI: A Multi-Agent Framework for Structuring and Linking NG9-1-1 Emergency Incident Data
arXiv:2603.24856v1 Announce Type: new Abstract: Emergency response systems generate data from many agencies and systems. In practice, correlating and updating this information across sources in a way that aligns with Next Generation 911 data standards remains challenging.
연구ENArXiv AI
How Far Are Vision-Language Models from Constructing the Real World? A Benchmark for Physical Generative Reasoning
arXiv:2603.24866v1 Announce Type: new Abstract: The physical world is not merely visual; it is governed by rigorous structural and procedural constraints.