MSA (MiniMax Sparse Attention) factors attention into two stages: an Index Branch and a Main Branch. The Index Branch decides which key-value blocks each query should read. The Main Branch then runs ...

British mathematician Jack Good coined the term “intelligence explosion” 61 years ago to describe what would happen when an intelligent machine entered a runaway cycle of fully automated ...

If “future AI models are optimised in a very different way than the American tech stack”, and as “AI diffuses out into the rest of the world” with Chinese standards and technology, China “will become ...

Educational code examples accompanying RLHF Book by Nathan Lambert. Join the Discord Community to ask questions, share runs, and compare notes on these examples. I primarily run experiments on a DGX ...

Good day, ladies and gentlemen. Thank you for standing by. Welcome to the MiniMax 2025 Full Year Financial Results Conference Call. Please note that English simultaneous interpretation will be ...

MiniMax, an AI company based in Shanghai, China, has announced the MiniMax M2.5, a frontier model designed to dramatically improve real-world productivity. M2.5 uses reinforcement learning in complex ...

Economic indicators show that the United States (US) is the front-runner for both private investment in artificial intelligence (AI) and venture capital in generative AI, followed by China. Economic ...

International Draughts is a fun board game that's a bit like checkers but with more pieces and on a bigger board. It's all about moving your pieces, capturing your opponent, and trying to outsmart ...

Unsupervised Environment Design (UED) is a promising approach to generating autocurricula for training robust deep reinforcement learning (RL) agents. However, existing implementations of common ...