Archive
新模型、開放權重、多模態、語音、影像與模型架構。
代理工具
DiG-bench uses 70 entirely new text-based games that require models to experiment independently and infer unknown rules and victory conditions. Opus 5 leads by solving 50, but existing agent frameworks do not consistently outperform the base model loop on the most difficult problems.
最新模型
DeepSeek has moved V4-Pro-0813 into general availability, with the existing `deepseek-v4-pro` name now pointing directly to the new version. The update strengthens coding agents and tool use while adding an OpenAI Responses API compatibility layer, although the published scores still come primarily from the company’s official harness.
最新模型
Z.ai says GLM-5.3 was not pretrained from scratch, with improvements in coding and cybersecurity capabilities coming entirely from larger-scale post-training. The model reports an 84.5% success rate on CyberGym, but its weights will not be released until a dual-use risk assessment is complete.
最新模型
SciFigBench uses more than 34,000 scientific-figure test configurations to evaluate visual understanding separately from the ability to acknowledge insufficient evidence. GPT-5.2 leads in description quality, while Gemini 3.1 Pro more often refuses to draw conclusions from ambiguous or misleading evidence.
代理工具
Agent Behavioral Contracts II analyzed 18,000 preregistered task runs and found highly correlated failures between two agents using the same model. The study instead uses linear programming over joint distributions to calculate finite-sample lower bounds, though the current evidence remains limited to two-agent handoff settings.
AI 可解釋性
SAEVerbalizer injects sparse autoencoder decoder directions into Gemma 3 and trains the model to generate feature explanations directly, eliminating the need to search for highly activating examples for each feature. The 27B version achieved 56.1% Reference Agreement on the stricter global test, but the reference answers were themselves model-generated and cannot yet be treated as mechanistic ground truth.
最新模型
DreamX-Phi injects the rigid-body transformations of two robotic arms directly into attention and constrains video generation using depth, object masks, and V-JEPA features. It scored 60.65 on a WorldArena 2.0 snapshot, but its weights and inference code will not be released until the challenge concludes, and generalization to real robots remains unverified.
GitHub Repo
The open-source MARC v1 uses YAML to define extraction, reasoning, and output agents, with support for the Gemini API or local deployment through Ollama. It improves error localization and data control, but presents only three types of use cases and does not demonstrate that a multi-agent approach is more accurate than a single prompt.
最新模型
A new study finds that sparse autoencoder ablation evaluations typically allow each dictionary to select its own highest-activation token, meaning ostensibly identical latents are tested at different positions. After fixing a shared position, the 7.6% and 11.9% of variance previously attributed to dictionary differences in controlled experiments nearly disappeared.
代理工具
CAPRI separates “the proof is accepted by Isabelle” from “the model modified only authorized regions” into two independent checks. Across 180 repair experiments, 6 of 144 buildable candidates altered protected text; no further violations occurred after the model was restricted to returning only the proof body.
最新模型
Researchers filtered 88 billion tokens of K–5 material from FineWeb‑Edu and trained 0.6B, 1.3B, and 5B models from scratch alongside compute-matched control models. Experiments show that scaling the models, applying SFT＋GRPO, and providing in-context examples primarily elicit existing capabilities rather than clearly pushing beyond the pretraining knowledge boundary.
AI 安全
Synthetic Persona Pretraining embeds first-person reflections generated from a “values constitution” into roughly 10% of pretraining documents, then uses post-training to bind that persona to the assistant identity. Newly released full experiments, weights, and data show that early intervention mainly improves value generalization, while resisting conventional jailbreaks may not require training from scratch.