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應用研究

TIER IV Open-Sources METEOR: One Network Uses Eight Cameras for Simultaneous Perception and Path Planning on Jetson Orin

The 54M-parameter METEOR builds a BEV representation from eight camera feeds and outputs 12 driving tasks in a single forward pass. Its INT8 version runs in approximately 67–70 ms on Jetson AGX Orin. The code, ONNX model, weights, and demo data are public, but the deployment version disables temporal memory, and no public autonomous-driving benchmark is yet available for cross-model comparison.

最新模型

Gander Open-Sources a Full-Duplex Multimodal Agent, Dividing Parallel Conversation and Long-Running Tasks Between a “Cerebellum” and “Cerebrum”

Gander brings streaming audiovisual conversation, interruption control, and asynchronous agent execution onto a single timeline, allowing the front-end model to continue interacting with users while the back-end agent works. The initial release includes Apache 2.0-licensed code and model weights, but the full dataset has yet to be released, and the official deployment configuration requires three GPUs.

GitHub Repo

Nex-N2.5 Opens Three Agent Models, With the Vision and Trillion-Parameter Text Versions Showing Different Capability Boundaries

Nex AGI has released the 35B mini, multimodal Pro, and 1.6T MoE Max models, targeting browser and desktop operation as well as long-running tool use. Official results show Max approaching leading closed models in automation scores, but lagging significantly on the vision-dependent OSWorld-2 benchmark, while local deployment requires as many as 16 H200 GPUs.

代理工具

OpenClaw 2026.9.3 Rehearses Upgrades in Isolation, but Simultaneously Breaks Compatibility with Node and Plugin Interfaces

The new OpenClaw release validates the core, plugins, and migrations in an ephemeral candidate state before activation, with a separate check serving as the final gate. It also retains records of failures and rollbacks. At the same time, the upgrade drops support for Node 22/25 and several SDK interfaces; one report indicates that an agent may still lose semantic session continuity even after every structural check passes.

GitHub Repo

MiniCPM5-2B Opens Training Data and On-Device Deployment Formats, but Quantized-Version Sampling Defaults Draw Scrutiny

OpenBMB has released a 2B dense model with a 131K-token context window and tool-calling capabilities, along with staged checkpoints, training data, and multiple quantization formats. Third-party evaluations affirm its competitiveness within its class, but community testing suggests the official sampling settings may cause GGUF quantizations to fall into repetitive generation loops.

Applied AI research

Hugging Face and Earthmover Connect Aurora and ERA5, Shifting the AI Weather Forecasting Bottleneck to the Data Pipeline

The newly released executable workflow streams ERA5 initial conditions directly, enabling Aurora to generate and backtest forecasts locally or on per-minute-billed compute. It does not introduce a new model; its technical value lies in connecting weights, meteorological arrays, static variables, and validation steps into a reproducible pipeline.