Chinese startup Mind Lab, founded in October 2025 by Andrew Chen (Chen Kaijie), released and open-sourced Macaron-V1 on July 21, 2026, following a June preview. The flagship "Venti" is a 748 billion-parameter model post-trained on GLM-5.2, where 744 billion parameters stay frozen and four LoRA adapters of roughly one billion parameters each cover chat, agents, coding, and interface generation; a lighter "Tall" version has 50 billion parameters built on Qwen 3.6. Both support two-million-token context windows, and the company reports state-of-the-art results in six of 12 benchmarks it published. Mind Lab says it ran LoRA reinforcement learning on the trillion-parameter Kimi K2 in December 2025 using 64 Nvidia H800 GPUs at about 10% of full-parameter RL compute, launched the MinT LoRA training platform in January, and reached USD 10 million ARR two weeks after commercialization.
- kr-asia.com2026-08-03