Idol turns one object image into a 3D Gaussian splat that can include views not visible in the picture. [2]
Anthropic’s beta Usage and Cost Analytics API lets eligible organizations retrieve Claude token usage and cost, grouped by details such as model, workspace, or API key. [4]
GitHub Copilot Fusion can choose and coordinate models for coding tasks based on the prompt and a user-selected effort level. [7]
AuroraIMG2-50M-Preview is an openly released model for generating small images from English text prompts, and for experimenting with small-scale image-model training. [1]
Turn a single object image into a 3D model
Idol converts a photo, render, or generated image of an object into a 3D Gaussian splat, a format for representing a 3D scene. It can also generate views of sides that were not visible in the source image, and save the result as a standard `.ply` file. [2] That could be useful for people creating or experimenting with 3D objects from images; the record does not say how accurately the unseen sides are reconstructed. [2]
See where an organization’s Claude usage and costs come from
Anthropic’s beta Usage and Cost Analytics API gives Claude Console and Claude Enterprise organizations a way to retrieve token usage and cost reports. The reports can be filtered or grouped by factors such as model, workspace, API key, and the user or service account behind a request. [4] It is aimed at teams that want to analyze Claude requests across an organization; it is a beta API, not a general-purpose reporting tool for all users. [4]
Copilot can select models for a coding task
GitHub Copilot Fusion is now generally available as a system that routes coding tasks to models and coordinates them. It takes the prompt and a user-selected effort level into account, while administrators can control which models it is allowed to use. [7] The change is for developers who would rather not choose or switch models for each step of a coding task. The record does not claim that this produces better results than choosing models manually. [7]
An openly released model for small text-to-image experiments
AuroraIMG2-50M-Preview generates 256×256 images from English text prompts. Its weights and code are released under Apache 2.0, so it can also be studied and used for small-scale text-to-image training experiments. [1] The release includes a small decoder, but the record does not provide performance comparisons or claim that the model is suited to production image generation. [1]
Also on the radar
Qwen-Audio-3.1-TTS-Plus offers multilingual and dialect speech generation, with controls for qualities such as emotion, tone, speaking rate, and volume; it is available through an API. [3]
AgentFlux is a self-hosted visual workflow and agent builder that connects documents, data sources, and language models, and can run on a computer or server using Docker. [6]
Copilot CLI adds a persistent C++ code index that can help with tasks such as finding definitions and references, with increased initial build time and memory use. Copilot code review adds more detailed per-user review settings and an enterprise default effort setting. [9][10]
Copilot app (Local sandboxing) is in public preview, with per-project policies that restrict filesystem, network, and credential access during local sessions. SageMaker AI endpoints add support for SOCI-indexed container images for training and processing jobs, which load needed files first and stream the rest in the background. [12][5]
The records
12 developments
Each numbered link above points to one of these catalog records, with its sources.
AuroraIMG2-50M-Preview is a 256×256 text-to-image model with a 50.4M-parameter diffusion transformer and a 12.6M-parameter text encoder, both trained from scratch. Its weights and code are released under Apache 2.0, with a bundled FLUX.2 small decoder.
Idol converts a single image of an object into a 3D Gaussian splat, including views of sides not visible in the input. It can generate up to 1,048,576 Gaussians and save the result as a standard `.ply` file.
Qwen-Audio-3.1-TTS-Plus is a professional text-to-speech model supporting multiple languages and dialects, streaming synthesis, and instruction following. It offers controls for emotion, tone, persona, speaking rate, and volume, and is designed for high-quality audio in professional scenarios.
The Usage and Cost Analytics API is a beta API for Claude Console and Claude Enterprise organizations. Its endpoints report token usage and cost, with filters and grouping for dimensions such as model, workspace, API key, and the user or service account behind a request.
SageMaker AI endpoints are AWS-managed inference endpoints for deploying generative AI models where AWS handles GPU provisioning, autoscaling, and operational monitoring. In 2026 AWS introduced multiple enhancements including automated inference recommendations, multi-instance capacity-aware pools, an OpenAI-compatible API surface, container caching to reduce cold-starts, token-level observability, inline async payloads, and prefix-aware routing for KV cache reuse.
Adds support for SOCI-indexed container images for training and processing jobs, which lazy-load needed files and stream the rest in the background.
text generationanalysisretrievalembeddingsagents+9
AgentFlux is a self-hosted application for building visual workflows and autonomous agents that connect documents, data sources, and language models. It provides a browser interface and can run on a computer or server using Docker.
GitHub Copilot Fusion is a generally available model-routing and orchestration system for coding tasks. It selects and coordinates models based on the prompt and a user-selected effort level, with administrators able to control which models it can use.
Repository plugin defaults and enterprise-managed plugin controls are generally available across VS Code, Copilot CLI, and the GitHub Copilot app.
GitHub deprecated four models across its Copilot experiences on October 2, 2026. It suggests replacement models and says administrators may need to enable access to alternatives through model policies.
Repository plugin defaults and enterprise-managed plugin controls are generally available across VS Code, Copilot CLI, and the GitHub Copilot app.
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.
Repository plugin defaults and enterprise-managed plugin controls are generally available across VS Code, Copilot CLI, and the GitHub Copilot app.
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.
Repository plugin defaults and enterprise-managed plugin controls are generally available across VS Code, Copilot CLI, and the GitHub Copilot app.
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.
Repository plugin defaults and enterprise-managed plugin controls are generally available across VS Code, Copilot CLI, and the GitHub Copilot app.
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.
Repository plugin defaults and enterprise-managed plugin controls are generally available across VS Code, Copilot CLI, and the GitHub Copilot app.
Written by openai/gpt-6-luna from the catalog records listed here; every sentence cites the records it rests on. Which records a brief covers is decided by fixed rules: the new developments and major releases of the window with the strongest evidence.
Original catalog content is licensed under CC BY 4.0, attributed to wowsuchai. Source quotations and linked content keep their original rights.