Archive
Agent、MCP、coding agent、工作流自動化與評測。
代理工具
Orcetra originally claimed to substantially outperform FLAML and AutoGluon across 513 OpenML datasets, but an author audit uncovered test-set leakage and unequal compute allocation. Under the corrected protocol, the three systems showed no statistically significant differences on the rerun subset.
代理工具
A Google team used multi-turn reinforcement learning to train Gemini 3.5 Flash with simulated patients, document tools, and multidimensional clinical rewards. The model missed fewer red flags in adversarial consultations, but the training system has not been open-sourced or prospectively validated with real patients.
代理工具
Shepherd records model calls, tool operations, and file changes as persistent execution traces, allowing users to inspect or discard modifications before they enter the workspace. The latest documentation also explicitly states that the meta-agent delegation, in-flight forking, and automated retry interfaces demonstrated in the paper and on the project homepage are not yet directly usable features in v0.3.0.
AI 安全
Independent testing found that Meta’s Muse Code looks for `CLAUDE.md` and `AGENTS.md` files in the user’s home directory at startup and incorporates their contents into the context sent to the model endpoint. This compatibility design does not amount to arbitrary file exfiltration, but it could send personal rules, internal paths, or sensitive prompts originally intended only for another provider to Meta.
最新模型
Rather than directly reconstructing masked gene values, CellWorld predicts representations from a target encoder using neighboring cells and limited expression hints. The code and training configurations have been released under the MIT License, but the pretrained weights remain in an approval-gated private repository.
最新模型
AgentPatch first identifies weaknesses introduced by model merging, then restores only the expert models’ unique residuals and critical FFN neurons. It produces a single static checkpoint with no routing or inference-time agents, but the complete evaluation adapters and model weights have yet to be released.
GitHub Repo
AIPOCH’s Apache-2.0 desktop workbench integrates model agents, Python and R kernels, scientific data connectors, and immutable artifact versioning. The August 9 update makes context compaction visible and fixes Codex MCP approval and Windows notebook execution issues, but still falls short of fully portable replay.
AI 安全
OpenAI says advances in Astra’s agentic coding and cyber offense and defense capabilities mean it cannot rule out that the model has crossed the highest-risk threshold. The company has isolated testing environments, restricted tool and network access, and deployed monitors to inspect agents’ reasoning traces and high-risk actions.
代理工具
Rather than distributing the outcome of an entire agent run evenly across all tokens, DiDPO compares similar sub-diffs across multiple trajectories. The public verl-code repository includes training entry points and data recipes, but no author-released model checkpoint yet, and the experiments do not cover full repository-level software repair.
代理工具
P-Bench requires agents to select statistical methods, execute R code, and report p-values themselves, rather than merely checking whether the code runs. The 14B model leads the listed open models on the strict metric for difficult tasks, but the public repository currently contains only documentation.
推論系統
A community deployment recipe running on a single DGX Spark uses CUDA Graph and a one-layer MTP speculative decoder to increase Ling-3.0-flash INT4 generation speed from 20.8 to 38.7 tokens/s. More importantly, it finds that mainline vLLM does not yet support the V3 architecture: forcing the model through an older attention path may not raise an error but can produce plausible-looking yet incorrect content.
代理工具
Scale AI treats prompts, tools, memory, and control flow as model-modifiable code, then measures real-world gains using a hidden test set. Across 111 experiments, native coding agents did not consistently outperform a shared harness, while the best validation scores generally proved overly optimistic.