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arXiv:2608.18078v1 Announce Type: new Abstract: This position paper argues that AI agents with chainofthought reasoning capabilities are predisposed to exhibit collusive behavior and should be required to obtain behavioral certification before making decisions that affect economic markets.
arXiv:2608.18079v1 Announce Type: new Abstract: Game world modeling GWM and reinforcement learning RL are often confounded because research papers rarely quantify how difficult the underlying transition prediction problem is at the declared interface pixels/tokens/latents with finite history.
arXiv:2608.18080v1 Announce Type: new Abstract: We present a review on the applications of large language models LLMs in health, e.g., social media analysis, clinical conversational agents, therapy support tools, prompt engineering, multimodal learning, and ethical considerations.
arXiv:2608.18081v1 Announce Type: new Abstract: Artificial agentic systems increasingly operate as behavioral systems by interacting with dynamic environments, pursuing goals, and adapting over time.
arXiv:2608.18086v1 Announce Type: new Abstract: The growth of openweight foundation models OWFMs has prompted the AI community to reevaluate strategies for effective downstream governance.
arXiv:2608.18088v1 Announce Type: new Abstract: Drone propeller faults can create safety and reliability risks when their effects are distributed across multiple flightlog channels rather than appearing as a single diagnostic signal.
arXiv:2608.18092v1 Announce Type: new Abstract: LLMbased multiagent systems MAS promise scalable collaboration, yet adding agents often reduces reliability.
arXiv:2608.18099v1 Announce Type: new Abstract: Investment management is a highstakes domain in which agentic AI systems must do more than generate plausible text.
arXiv:2608.18104v1 Announce Type: new Abstract: Large language model LLMbased agents are increasingly becoming selfevolving systems that persist across interactions, maintain memories, use tools, acquire skills, refine workflows, and coordinate with other agents.
arXiv:2608.18110v1 Announce Type: new Abstract: Agentic AI is gaining new insights and advancements in the field of Artificial Intelligence, fostering significant potential to enable rapid transformation across various domains.
With a fixed deadline and design resources committed elsewhere, Stampli used Codex and ChatGPT Work to compress weeks of launch production into days.
초대형 인공지능AI 반도체 설계 전문 기업 세레브라스 시스템즈Cerebras System가 지난 5월 14일, 미국 나스닥 상장 이후 18일현지시간, 차세대 랙 스케일 AI 가속기 ‘CS4’를 공개했다. 이 혁신적인 가속기는 새로운 웨이퍼 스케일 엔진과 랙 및 시스템 설계를 결합해 AI 추론 성능과 전력 효율, 대규모 모델 확장성을 동시에 강화했다고 밝혔다.회사 측에 따르면 CS4는 이전 세대인 CS3보다 최대 2배 빠른 성능을 제공하며, GPU 기반 솔루션과 비교하면 사용자당 초당 토큰 처리량TPS/user에서