AI brief · 26 September 2026

MiniMax-H3 T2VA Veda Predictor 8 NFE 600-Step Preview

This preview checkpoint is a tile-score predictor for MiniMax-H3 text-to-audio-video generation at eight denoising steps. It selects attention tiles for block-sparse attention at a 10% keep ratio, with twelve geometry plans packed into the weights file.

Sources: Hugging Face

Intern-Decision-4B

Intern-Decision-4B is a multimodal structured decision model fine-tuned from Qwen3.5-4B. It scores options for multiple named questions in one model forward pass and returns calibrated probability distributions in JSON.

Sources: Hugging Face

Nanosaur2-670M

Nanosaur2-670M is a 670-million-parameter diffusion transformer for text-to-image illustration generation. It is released with ComfyUI support and model files for local inference.

Sources: Hugging Face

Agate Preview 001

Agate Preview 001 is a 260-million-parameter text-to-image model that generates 256 × 256 images from English prompts. Its weights are available under the MIT licence, and the release is identified as a research preview.

Sources: Hugging Face

TeleOCR

TeleOCR is a lightweight, approximately 1.2-billion-parameter open-source vision-language model designed for document parsing. It handles digital and camera-captured documents, including distorted pages, and the model weights are publicly released.

Sources: Hugging Face

Artemis-31B-v1.2

Artemis-31B-v1.2 is a safetensors model based on a fine-tune of Google Gemma 4 31B. Its model card describes using a Gemma 4 31B template in thinking or non-thinking mode.

Sources: Hugging Face

Ollaya

Ollaya is an open-source local serving platform for decision models, with a CLI, daemon, API, and desktop app. It pulls models by name and returns calibrated decisions from typed questions without generating text.

Sources: GitHub new repositories

Copilot code review

Copilot code review adds a dedicated per-user settings page and more granular automatic-review controls, plus an enterprise-level default review effort that can be inherited by organizations. These changes are generally available across Copilot plans including Business and Enterprise.

Adds an in-product validator for enterprise managed settings that identifies configuration errors and indicates the affected file and JSON path.

Sources: GitHub, GitHub, GitHub

Copilot CLI

Copilot CLI adds whole codebase indexing (WCI) for C++ that builds a persistent symbol index across a project so the Microsoft C++ Language Server can resolve symbols and relationships without repeatedly rediscovering them. The feature is enabled by default, can increase initial build time and memory usage, and the index is reused and dynamically updated thereafter.

Adds an in-product validator for enterprise managed settings that identifies configuration errors and indicates the affected file and JSON path.

Sources: GitHub, GitHub, GitHub

Copilot app (Local sandboxing)

Local sandboxing for the Copilot app provides per-project policies that limit filesystem, network, and credential access for local repository and working-tree sessions. The feature is available in public preview and is configurable in the app per project or for individual sessions with an in-session command.

Adds an in-product validator for enterprise managed settings that identifies configuration errors and indicates the affected file and JSON path.

Sources: GitHub, GitHub, GitHub

Copilot for JetBrains 1.18.0

Copilot for JetBrains 1.18.0 is a JetBrains IDE plugin update that adds new agent features, organization-shared skills and instructions, and workflow improvements. The release includes public-preview assisted tool approvals, a re-edit message capability, Codex agent plan mode, and controls for MCP tools and the built-in MCP server.

Adds an in-product validator for enterprise managed settings that identifies configuration errors and indicates the affected file and JSON path.

Sources: GitHub, GitHub, GitHub