智能体生态观察
智能体生态动态速递
追踪 AI 智能体（Agent）生态的模型发布、框架开源、行业落地与安全治理动态。
Deep Persona: A Psychologically Grounded Architecture and Evaluation Framework for Role-Playing Agents and Simulations
Existing approaches to persona simulation with Large Language Models (LLMs) mostly rely on shallow character description…
Adaptive Bridge: A Proxy-Based Decoupling Layer for Mitigating DDS Backpressure in ROS 2
In systems built on Robot Operating System 2 (ROS 2) and using Data Distribution Service (DDS), a single network-impaire…
EvoSafeHarness: Evolving Model- and Domain-Specific Harnesses for Securing Agents
Large Language Model (LLM) agents are turning language into real-world effects, making safety necessary against both ind…
MobileVLA-R1 2.0: RL-Enhanced Reasoning for Mobile Robot Control
Grounding natural-language instructions into reliable and executable actions remains a fundamental challenge for vision-…
Beyond Top-k Skill Retrieval: Diversity-Aware Skill Routing for LLM Agents
Large language model (LLM) agents increasingly rely on external skills, but routing user requests over large skill regis…
Counter-Swarm Doctrine: Containing Coordinated Agent Intrusions
Agents can turn shared infrastructure into a channel for coordinated intrusion. The HF Mirror incident and a separate pu…
SkillSpec: Intent-Masked Specification Reasoning for Agent Skill Correctness
Autonomous agent systems increasingly depend on reusable skill abstractions for consolidating experiential knowledge and…
GE-Act 2.0: Pretraining and Scaling a World-Action Model for Robotic Manipulation
World-action models (WAM) predict future states to guide robot actions, enabling learning from both action-free video an…
Occamy-1.0: Open Pareto-frontier 35B Intelligence for Co-work
Co-work agents execute complex workflows that combine information gathering, tool use, coding, and file manipulation acr…
RoboSPA: Can VLA Models Go Beyond Simple Scenes and Short-Horizon Tasks?
Vision-Language-Action (VLA) models have shown promising progress in language-conditioned robotic manipulation. However,…
Grounded Skill Synthesis from Code at Scale for Agentic Intelligence
Reusable skills give agents transferable procedural knowledge, making scalable acquisition essential for extending agent…
UniMate: One Unified Model to Animate Diverse Skeletons
Recent advances in automatic rigging now deliver animation-ready 3D assets at scale, yet generating the motion to drive …
SceneMosaic: Efficient and Diverse Simulation-Ready Scene Generation via Hybrid Agentic Layout Evolution
Diverse and simulation-ready indoor scenes are essential for interactive entertainment and embodied AI, yet their scalab…
Sparks Fly: NVIDIA Accelerates Local AI at IFA 2026
Frontier intelligence is going local. At IFA 2026, NVIDIA, Microsoft and its partners are teaming up to provide faster i…
Don't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference
Layer dropout (a.k.a. stochastic depth) has been shown to enable faster training, higher accuracy, and robustness to zer…
τ^τ-Bench: An Environment for End-To-End, Realistic Agent Construction
LLM agents are rapidly becoming production software, deployed to handle customer service, adjudicate disputes, and opera…
Learning 3D Editing without Paired Supervision via Generative Prior Distillation
Instruction-guided 3D editing is essential for interactive content creation, yet it faces a significant bottleneck: the …
What LLM Trading Agents Actually Do in Production: A Six-Month, Population-Scale Record from Two Fleets
We present a continuous, population-scale measurement record of autonomous language-model trading agents operating in pr…
RISE: Recursive Improvement via Self-Extrapolating Policy Distillation
On-policy distillation (OPD) provides dense, per-token supervision for language model post-training, but its effectivene…
EVOHARNESSBENCH: Can Your Agents Keep Pace with an Evolving Harness?
Modern LLM-based agents operate through a harness of tools, reusable skills, and specialist agents that shapes what they…