最新模型

新模型、開放權重、多模態、語音、影像與模型架構。

Applied AI

ChatGPT Health Connects to Electronic Health Records and Apple Health, Bringing Personal Health Data into the Model Context

OpenAI has begun rolling out ChatGPT Health to adult users in the United States, enabling synchronization with healthcare provider records, Apple Health, and supported health apps. The system uses b.well to aggregate heterogeneous EHR data and promises not to use the associated data to train foundation models, but the product is not intended for diagnostic use.

代理工具

GitHub Copilot Cloud Agent Is Now Generally Available for Linear, Launching Isolated Environments from Issues and Returning Draft PRs

Linear issues can now be delegated directly to the GitHub Copilot cloud agent, which modifies code in an ephemeral GitHub Actions environment and creates a draft PR. The generally available release adds controls for models, branches, custom agents, and mid-run redirection, but teams must still govern cross-platform permissions and prompt injection risks.

AI 基礎設施

GigaToken Accelerates BPE With Rust, SIMD, and Direct File I/O, Reaching 24.53 GB/s in a GPT-2 Tokenization Benchmark

The open-source GigaToken 0.9.0 project reoptimizes pre-tokenization, BPE merging, and the data input path, claiming a 989× speedup over Hugging Face Tokenizers on a dual-socket, 144-core AMD EPYC server. Its top result depends on the native API, an 11.9 GB corpus batch, and highly parallel hardware, and cannot be directly extrapolated to short online requests.

最新模型

Solar Open 2 Supports a Million-Token Context with Hybrid Linear Attention, Activating Just 15B of Its 250B MoE Parameters per Token

South Korea’s Upstage has released Solar Open 2 for long-horizon agents, combining a 250-billion-parameter MoE, hybrid attention, and a 1-million-token context window in a single model. The company says the quantized model can be deployed on two NVIDIA H200 GPUs, though current evidence for its performance and long-context stability comes primarily from the team’s own testing.

AI 科學與高效能運算

U.S. Department of Energy Launches 278 AI Science Workflow Projects Linking Agent Frameworks, Models, and National Laboratory HPC

The first group of Genesis Mission projects spans nuclear energy, critical minerals, chip design, and commercial fusion. Research teams will share models, agent frameworks, and high-performance computing resources. OpenAI has separately committed Codex access and API credits to support about 2,000 researchers and two large-scale scientific experiments.

訓練系統

SLAI T-Rex Achieves 34.22% MFU in Full-Parameter Post-Training of a Trillion-Scale MoE on Ascend SuperPOD

The research team redesigned parallelization strategies, communication scheduling, kernels, and operator fusion for the DeepSeek-V4 family, bringing Ascend training efficiency to 2.93× the open-source baseline. The system was also used to train an operations research model on solver-verified data, though more complete public reproduction of the code, data, and hardware measurements is still needed.

推論系統

SWE-Pruner Pro Reads Coding Models’ Hidden States Directly, Cutting Agent Tokens by Up to 39%

SWE-Pruner Pro replaces a separate classifier with a lightweight prediction head that uses a coding agent’s internal representations to decide whether to retain each line of tool output. Tests with two open MoE models across four multi-turn benchmarks showed token savings, but the method requires inference-server modifications, and some quality gains have yet to be reproduced.