Large Language Model

Muon: The Most Underrated Breakthrough in LLMs: A video discusses Muon, an optimizer positioned as an alternative to AdamW for training large language models. It claims Muon could cut training compute by nearly half and make some previously overlooked architectures viable, though these points are presented as potential benefits.

AI Research • bycloud

CAICT report: domestic model prices nearly doubled in 2026, daily token use hit 500 trillion: A CAICT report on token services found domestic large-model prices nearly doubled in 2026 and throughput doubled. First-token latency rose, while daily token use reached about 500 trillion.

AI Industry • Pandaily

Ant Group open-sources Ling-3.1-flash, a 560B-parameter AI model: Ant Group released the weights of Ling-3.1-flash, allowing developers to deploy the AI model on their own infrastructure. The model has about 560 billion total parameters, activates about 25 billion per token, and supports a context window of up to one million tokens.

AI Models • TechNode