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AI & Enterprise

Meituan releases LongCat-2.0 as open source, trained on 50,000 Chinese-made ASICs

Meituan has released its LongCat-2.0 AI model, previously known by the codename \"Owl Alpha\", as open source on GitHub, Hugging Face and its own platform. The model uses a 1.6 trillion-parameter mixture-of-experts architecture and supports a 1 million-token context window under the MIT licence. Benchmark scores include 59.5 on SWE-Bench Pro. Meituan said it trained the model on a cluster of more than 50,000 Chinese-made ASICs without Nvidia GPUs.

AI & Enterprise

Z.ai unveils GLM-5.2 trained with only Huawei chips, without Nvidia

Chinese AI company Z.ai, formerly Zhipu AI, unveiled its next-generation large language model GLM-5.2 trained without Nvidia chips, using only Huawei Ascend accelerators. Z.ai said the model delivered top-tier performance on coding and agent benchmarks, nearing Anthropic’s Claude Opus 4.8. It is distributed under the MIT licence without country restrictions, supports a 1 million-token context window and is priced below Claude Opus 4.8 for API use.

AI & Enterprise

Lightweight \'Needle\' model targets AI agents for low-cost smartphones

Cactus Compute has unveiled Needle, a 26-million-parameter tool-calling AI model that can run locally on smartphones and other small devices. According to online outlet Gigazine, Needle was developed by distilling the tool-calling function of Google\'s Gemini-3.1-Flash-Lite. The model targets on-device use, with prefill processing at 6,000 tokens per second and decoding at 1,200 tokens per second. It is distributed on GitHub and Hugging Face under the MIT license.