从"控制流所有权"这一第一性原理出发，拆解 Workflow（DAG 编排、确定性执行）与 Agent（ReAct 循环、涌现式控制流）的技术原理差异；详解 Agentic Workflow"图做骨架、节点内自主"的三层混合架构，以及提示链/路由/并行化/编排者-执行者/评审-优化五种经典编排模式与工程选型经验。

Visual generation is evolving from generative models used through a single invocation into agentic control processes tha…

Recursive self-improvement (RSI) requires a concrete mechanism through which an AI system observes its capabilities and …

Diverse and simulation-ready indoor scenes are essential for interactive entertainment and embodied AI, yet their scalab…

Designing and authoring high-performance custom kernels for accelerators is a complex task that requires deep hardware-l…

OpenAI 发布 GPT-5，将快速响应与深度推理统一到一个系统内自动路由，在编码、数学、多语言与幻觉抑制上全面提升，并大幅加强 Agentic 任务能力。

In this work, we present Gander, an end-to-end model that unifies omni perception, realtime interaction, and agentic cap…

Visual fluency in generated video does not imply physical reliability, and a scalar quality score alone is incapable of …

Anthropic 随 Claude 3.7 Sonnet 推出命令行编程智能体 Claude Code，可自主读写代码库、运行测试与提交修改，开启'终端 Agent'产品形态。