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What is happening in AI right now

A timeline of everything that has passed through the radar — newest first, with an evidence status for each item.

2170 across the entire feed ↗ details, original sources and our own analyses

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Wednesday, October 7

11 items
Local AI clearly official source

GitHub Copilot CLI now discovers local models from Ollama

Starting with version 1.0.94-0, GitHub Copilot CLI discovers supported local models from a running Ollama service using the /model command. Once confirmed, they can be used without restarting. Selecting a local model does not enable offline mode or disable telemetry.

GitHub Copilot Changelog Details and sources →

Tuesday, October 6

4 items
Tools and apps clearly official source

Amazon SageMaker Studio now supports managing environments on Amazon SageMaker HyperPod EKS clusters

AWS has made it possible to create, configure, start and stop Amazon SageMaker Spaces environments directly through Amazon SageMaker Studio. It supports JupyterLab and Code Editor environments on Amazon SageMaker HyperPod EKS clusters; an administrator must prepare the add-on and permissions.

AWS Machine Learning Blog Details and sources →

Monday, October 5

3 items
Coding clearly official source

OpenAI demonstrated a new Codex CLI interface for concurrent tasks

OpenAI demonstrated a revamped Codex CLI tool in a video, featuring a full-screen interface and management of concurrent tasks. The demo includes launching three tasks by voice and transferring control to a phone. The available text does not specify the price, version or general availability.

OpenAI — official video announcements Original source ↗

Friday, October 2

4 items
New models clearly official source

AstaBrief 8B model released for scientific reports with citations, weights and training data also available

The AstaBrief 8B model generates scientific reports with citations and is available in the Fast mode of the Asta service. The authors are releasing both the weights and the training data. According to their measurements, the entire process takes an average of 51.1 seconds compared to 178.5 seconds in Thinking mode.

Hugging Face Blog Details and sources →

Thursday, October 1

2 items