Base

arXiv paper presents ARIA, a framework that learns to repair LLM multi-agent executions at runtime: An arXiv paper presents Agent Runtime Inspection and Amendment (ARIA), a framework for learning when and how to repair ongoing LLM-based multi-agent executions. It converts execution-verified repairs into reusable supervision, enabling a learned model to intervene at runtime rather than repeatedly testing alternatives.

AI Research • arXiv

Microsoft unveils MAI-Base-2 MoE with 2.8T total, 80B active parameters: Microsoft unveiled MAI-Base-2, a mixture-of-experts model with 2.8T total and 80B active parameters. It claims 4x-12x more pretraining FLOPs-efficiency than DeepSeek-V4-Pro-Base. Microsoft also cited MAI-Thinking-1, a general-purpose foundation model post-trained on MAI-Base-1 announced in June.

AI Models • Techmeme

RapidCanvas • Series B

RapidCanvas raises nearly $29M Series B to help businesses build custom AI tools: RapidCanvas raised nearly $29M in Series B funding led by Vertex Ventures and Hitachi Ventures, CEO Rahul Pangam tells Axios. The Austin-based company uses agents to help businesses build and deploy custom AI applications.