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RubyLLM: A Ruby framework for all major AI providers
Ruby开发者福音！5分钟集成主流AI服务，支持问答、图像视频分析、文档总结等。
Article URL: https://rubyllm.com/ Comments URL: https://news.ycombinator.com/item?id=48660711 Points: 275 # Comments: 41
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New AI optimization framework beats Claude Code and Codex by 2.5x on the same compute budget
新AI优化框架Arbor在相同计算预算下比Claude Code和Codex性能提升2.5倍，为AI编码工具树立新标杆。
Imagine your engineering team just deployed an AI agent to search through internal company documents and answer employee questions. It works perfectly…
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Trump signs narrower executive order on AI oversight after industry objections
特朗普签署AI监管行政令，回应行业反对并拟建统一国家政策框架，同时曝出谷歌向SpaceX每月支付9.2亿美元计算费。
After industry objections, President Trump signed a revised AI executive order requiring only voluntary prerelease government reviews of advanced mode…
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Bridging the Last Mile of Time Series Forecasting with LLM Agents
用LLM智能体打通时间序列预测的“最后一公里”，前沿方法探索。
arXiv:2606.02497v1 Announce Type: new Abstract: Time series forecasting has advanced rapidly, especially with the emergence of foundation models that …
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Extending AI for Research to the Humanities: A Multi-Agent Framework for Evidence-Grounded Scholarship
多智能体框架将AI实证能力延伸到人文学科，让基于证据的学术研究更智能、更开放。
arXiv:2605.30947v1 Announce Type: new Abstract: LLM-based research agents have advanced rapidly in science and engineering, where research is organize…
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Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling
创新异步代理框架巧妙平衡实时约束与长期推理需求，为动态调度难题提供有效解法。
arXiv:2605.29262v1 Announce Type: new Abstract: The Dynamic Flexible Job Shop Scheduling Problem (DFJSP) necessitates a trade-off between instant reac…
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英伟达推出 AI 框架 Polar，让 Codex 跑分暴涨 594.74%
英伟达开源Polar框架，让Codex等智能体通过GRPO训练后性能暴涨594.74%，代码AI能力再上新台阶。
IT之家 5 月 28 日消息，英伟达研究团队本周发布开源框架 Polar，在不破坏原有工具调用、上下文组织和补丁提交方式的前提下，让 Codex、Claude Code、Qwen Code 等现有智能体框架接入 GRPO（广义相对策略优化）训练。 IT之家注：GRPO 是一种面向强化学习训练的优化…
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HarnessAPI: A Skill-First Framework for Unified Streaming APIs and MCP Tools
LLM工具部署不再分裂：一个框架同时搞定HTTP端点和MCP注册，舍弃重复造轮子，拥抱统一流式API。
arXiv:2605.22733v1 Announce Type: new Abstract: Every Python function deployed as an LLM tool must today exist in two forms: an HTTP endpoint for huma…
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EngiAI: A Multi-Agent Framework and Benchmark Suite for LLM-Driven Engineering Design
多智能体框架+基准测试，让LLMs攻克工程设计难题
arXiv:2605.19743v1 Announce Type: cross Abstract: Large Language Model (LLM) agents are increasingly applied to engineering design tasks, yet existing…
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Code as Agent Harness
一篇探讨将代码作为智能体（Agent）驱动框架的前沿论文，为AI代理开发提供新思路与理论基础。
arXiv:2605.18747v1 Announce Type: new Abstract: Recent large language models (LLMs) have demonstrated strong capabilities in understanding and generat…
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EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle
提出EvolveR框架，让LLM代理通过经验驱动生命周期实现自我进化，突破传统工具使用局限
arXiv:2510.16079v3 Announce Type: replace Abstract: Current Large Language Model (LLM) agents show strong performance in tool use, but lack the crucia…
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MindGap: A Conversational AI Framework for Upstream Neuroplastic Intervention in Post-Traumatic Stress Disorder
这是一个利用对话AI框架对PTSD进行上游神经可塑性干预的创新研究，融合人工智能与心理健康治疗前沿。
arXiv:2605.14660v1 Announce Type: new Abstract: Post-Traumatic Stress Disorder (PTSD) is fundamentally a neuroplastic problem traumatic contact events…
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Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework
新数据集与图增强框架，突破3D PET/CT影像的自动报告生成瓶颈。
arXiv:2604.18145v2 Announce Type: replace-cross Abstract: Automated medical report generation for 3D PET/CT imaging is fundamentally challenged by the…