Archive
1522 technical news articles
AI 安全
The September 12 nightly of Gemini CLI 0.61.0 tracks command arguments derived from external content and requires renewed user approval after build configuration changes. A separate set of patches prevents sandboxes from mounting home directories, credentials, and `.env` files, but a stable release is not yet available.
最新模型
SenseNova-U1.5 uses a Mixture-of-Transformers (MoT) architecture that does not rely on a separate vision encoder or VAE, enabling a single model to handle understanding, reasoning, generation, and editing. The technical report added on September 11 details its training methods and evaluations. Existing weights and inference code are available, but the SFT, RL, and multi-expert distillation code has not yet been fully released.
最新模型
OpenAI is making its life sciences–specific model available to eligible institutions worldwide through ChatGPT, Codex, and the API, with standard pricing taking effect on October 5. The simultaneously released Codex plugin divides entity normalization, evidence retrieval, and multi-tool orchestration into 50 skills, although model access remains subject to use-case and governance review.
代理工具
Context7’s Docs7 now lets agents in compatible browsers call `search_docs` directly, while administrators can view agent sources, query content, and popular pages. This gives documentation teams their first visibility into how agents look for information, but the metrics cannot prove that citations or answers are correct, and WebMCP itself remains only a community draft.
AI 基礎設施
Habitat, the online storage service underpinning ChatGPT, Codex, and the API, now handles 95% of production traffic in Rust, with aggregate throughput exceeding 70 million requests per second. The gains are based on OpenAI’s internal measurements, while details about database-layer and multi-tenant optimizations will be disclosed in a follow-up article.
代理工具
The new `claude plugin eval` command compares performance with a plugin enabled and disabled, producing JSON and HTML evaluation reports. Initial testing suggests that automatically generated criteria are better at verifying instruction following than proving that a plugin genuinely improves task quality.
代理工具
Atlassian is expanding Jira from an agent launch point into a control plane that continuously scans backlogs, assigns implementation work, and creates PRs, while using Teamwork Graph to provide organizational context to multi-repository agents. Most core features remain in open beta or private preview, making this more of an architectural direction that teams can evaluate than a mature pipeline ready for broad deployment.
推論系統
RunningHub has published a multi-GPU inference recipe for MiniMax H3 combining SGLang, step distillation, SageAttention2, Cache-DiT, and `torch.compile`. It reduces the reported latency for a five-second video from 348.8 seconds to 28.7 seconds, but the critical internal acceleration weights have not been released, and the public LoRA cannot directly reproduce that result.
最新模型
TinyDiT trains a 210M-parameter DiT from scratch on a single RTX PRO 6000 in 400,000 steps over 3.5 days, while releasing its code, weights, and stage-by-stage measurements. The results show that flow-matching loss is a poor proxy for image-generation progress, whereas registers, timestep shifting, and compiled training provide more actionable signals.
代理工具
The new `ExternalMessage` can deliver events from tools, other agents, or applications to a Codex turn already in progress, while marking them as having tool-level authority—below user and developer instructions. The release also adds history-loading and per-turn service-tier controls, but upgrading involves compatibility changes to event streams and hook structures.
最新模型
T1 records and replays MoE expert selections for every token, preventing numerical differences between rollout and training from sending them through different subnetworks. Its open weights support self-hosting, but benchmark results and competitor comparisons still come mainly from the team’s own evaluations.
AI 安全
GitHub has converted its lowest-cost Lite review into a multi-agent ensemble, with 47% more high-severity findings adopted in official experiments. Review agents can now also execute shell tools, making runner isolation, prompt injection, and audit logs for automatic resolution more important.