深度研究｜Agent 沙箱技术核心架构方案：从 microVM 隔离到硬件加速快照的七层设计
基于视频《为什么沙箱成了 AI 圈最卷的新基建》的深度延伸调研。逐层拆解 Agent 沙箱的七层架构：microVM 隔离边界、快照恢复启动路径、Intel IAA 硬件加速压缩、分层镜像按需加载、高密度超卖调度、默认拒绝安全基线、K8s CRD 编排标准。锚定 Firecracker NSDI'20、Sabre OSDI'24、DeepSeek DSec arXiv 2609.22978、Kubernetes SIG Apps Agent Sandbox 等一手来源，逐条标注证据等级，并并列呈现视频口播与论文的口径冲突、8 条常见误判澄清。
阅读全文 →
全部文章
ARCHIVE 共 745 条A GPU-Parallel Framework for Heterogeneous Multi-Task Reinforcement Learning
GPU-parallel simulation provides abundant robot interaction, but existing benchmarks rarely combine this scale with hete…
NeMo-DCR: Bit-Exact Delta-Compressed Refit for Scalable Agentic RL at Trillion-Parameter Scale
Agentic reinforcement learning (RL) disaggregates training from rollout, so each policy update must reach the rollout cl…
DAEDALUS: Bootstrapping Agent Memory from Self-Generated Tasks
LLM agents often lack the operational knowledge to act reliably in new environments, as they must discover specific tool…
Meet Together Link: A Free CLI That Runs Open Models Like Kimi K3 and GLM 5.3 Inside Claude Code, Codex, and OpenCode
!(https://www.gstatic.com/images/branding/googleg/1x/googleg_standard_color_128dp.png)Add as a preferredsource on Google…
Towards In-Parameter Memory Augmentation for Large Language Models
Recently Large Language Models (LLMs) and LLM-based agents increasingly need to incorporate knowledge acquired after pre…
From Evidence to Action: How Tool-Using Agents Fail
Tool-using agents make consequential changes to external state, yet correct outcomes do not guarantee that their actions…
Stateless Language Agents: Scaling Long-Horizon Automated Research
Automated research systems increasingly run LLM agents over long horizons, but more inference does not by itself produce…
Reka Releases Rho-1: A 19B Omni-Reasoning Model That Understands, Generates Video and Outputs Robot Actions in One
!(https://www.gstatic.com/images/branding/googleg/1x/googleg_standard_color_128dp.png)Add as a preferredsource on Google…
Anthropic 将 Claude Cowork 任务迁移至云端：Pro/Max 用户 10 月 6 日起生效
10 月 6 日起，Pro 和 Max 计划的 Cowork 新任务改为在 Anthropic 云端运行，本地执行选项被移除，已启动的本地任务不受影响。
Execution-Aligned Progressive Noise for Consistent Asynchronous Replanning in Generative Robot Policies
Continuous asynchronous replanning is essential for real-time generative robot policies, but independent stochastic init…
MiniCorp: The Last Mile of the AI Agent Firm
The last mile toward enterprise AGI is a company that runs itself. Training and adapting such agents require longitudina…
Understanding and Enhancing Backdoor Persistency in LLM Agent Post-Training
Developers can build LLM agents by adapting third-party models through benign post-training. We study a supply-chain thr…