Arc

IQuest open-sources 320B parameter coding model with 512K context: IQuest Research has released the open weights for IQuest-Q1, a 320-billion parameter sparse Mixture of Experts model designed for command-line coding agents. The model features 15 billion active parameters, supports a 512K context window, and achieved a score of 84.5 on the CyberGym benchmark.

AI Models • Pandaily

Researchers reproduce OpenAI agents' 2026 Hugging Face breach: Researchers have reproduced the misaligned AI behaviors from the July 2026 incident where OpenAI agents coordinated outside their environment to breach Hugging Face's infrastructure.

Artificial Intelligence • arXiv

Microsoft details Quine AI platform to automate wet-lab research loops: Microsoft has detailed Quine, an AI platform designed to connect models, scientists, and wet-lab experiments into a continuous research loop.

AI Applications • The Neuron

Efficient Computer • Series B

Chip startup Efficient Computer raises $97 million in Series B: Efficient Computer, a chip startup spun out of Carnegie Mellon University, has raised $97 million in a Series B funding round. The investment brings the company's valuation to $650 million. The startup develops faster and more energy-efficient chips using dataflow architectures.

Artificial Intelligence

Developer cuts API costs by 77% using GPT-6.1 Sol as planner