最新模型

新模型、開放權重、多模態、語音、影像與模型架構。

最新模型

LLaDA-Image Unifies Image Generation and Editing in a Single 6B Diffusion Model, With Turbo Cutting Sampling to 4 Steps

Ant Group’s inclusionAI has released LLaDA-Image weights and Diffusers inference code. A single model handles text-to-image generation, reference-image editing, and Chinese and English text rendering. The distilled version uses Twin-DMD to reduce the recommended sampling process from 50 steps to 4, but training code and independent performance validation are still unavailable.

推論系統

Magnitude Selects Local Models Based on Memory Bandwidth and Capacity, Automatically Configuring Quantization and Speculative Decoding for Coding Agents

The new open-source inference server Magnitude benchmarks hardware before recommending a complete combination of model, quantization, context length, and estimated speed. It automates the memory and concurrency settings most often misconfigured for local agents, though performance and model quality currently still depend largely on the project’s catalog and testing.

最新模型

Puffin-World Brings Gravity, Depth, and Images Into a Single World Model, Directly Generating Multi-View RGB-D and Point Clouds

Puffin-World uses a nine-channel Omni-Camera condition to unify absolute physical orientation with relative camera motion, while handling understanding, generation, and 3D reconstruction within a single architecture. The code, weights, and Puffin-16M dataset have been released, but its physical state modeling is currently focused mainly on gravity and latitude in static scenes.

最新模型

NeoMME Encodes Text and Images with a Single Bidirectional Transformer, Compressing Visual Document Indexes to 6 kB per Page

Hcompany has open-sourced the 260M- and 800M-parameter NeoMME models, which process text tokens and raw image patches with the same encoder instead of attaching a vision tower or causal decoder. Its retrieval variants produce both dense and late-interaction representations, although the current efficiency and accuracy figures come primarily from evaluations conducted by the authors.

最新模型

MAI-Transcribe-2 Integrates Speaker Diarization and Word-Level Timestamps Into a Single Speech API, With Batch Processing at 410× Real Time

Microsoft’s new speech recognition model supports 60 languages and natively provides speaker diarization, terminology biasing, code-switching, and word-level timestamps. Independent API testing shows strong error rates and batch throughput, but its promotional pricing, Chinese-language performance breakdown, and streaming latency remain to be verified.

應用研究

WeatherNext 3 Directly Incorporates Real-Time Satellite Observations, Upgrading Global AI Weather Forecasting to Hourly Updates and 5-Kilometer Grids

Google’s WeatherNext 3 no longer relies solely on delayed numerical weather reanalysis data, instead continuously updating forecasts with global satellite observations. The new model improves the resolution of precipitation and localized changes, but it still depends on data from national meteorological agencies and is not yet a fully end-to-end direct data assimilation system.

AI 安全

GitHub Copilot Expands Content Exclusion Policies to App and CLI, but Symbolic Links and Indirect Semantics May Still Cross Boundaries

Exclusion rules configured by Copilot Business and Enterprise administrators can now prevent the Copilot App and CLI from directly adding specified files to model context. The mechanism is not comprehensive data loss prevention or an execution sandbox; GitHub still lists gaps involving symbolic links, remote file systems, and indirect IDE semantics.

推論系統

HeadWiseKV Configures Long-Context Caching per Attention Head, Extending Qwen3.6-27B’s Usable Length to 161K

HeadWiseKV stops retaining the same amount of history for every attention head. Instead, it uses offline calibration to assign multilevel windows to individual heads and actually reduces physical KV residency. In fixed-model tests, the paper extends the maximum successfully validated context from 114K to 161K, although the higher figures reported by the public repository rely on specific quantization settings and a single RTX 4090D.