Trader Eugene Ng Ah Sio posted on X, saying, 'I think this is the most challenging Bull Market AltCoin season I have ever experienced. Capital flow doesn't mean much to me, and it's difficult to predict the extent of the fluctuations. At this time, I usually call for appropriate AltCoin rotation of most popular cryptocurrencies in CT, but now I'm not so sure. Currently, I am observing and waiting while preserving capital.'

Golden Ten Data reported on April 26 that MediaTek released three Dimensity automotive chips, of which CT-X1 uses 3nm process, CT-Y1 and CT-Y0 use 4nm process. It is reported that the three chips are based on the Arm v9 architecture, built-in HDR ISP image processor, and support long intelligent image optimization technologies such as AI noise reduction and AI 3A, as well as 5G NTN satellite broadband technology. Among them, the CT-X1 supports AI large language models with 13 billion parameters, and can run longing mainstream large language models (LLMs) and AI drawing functions in the car.

According to IT House's report on June 14, Microsoft researchers recently demonstrated the LLaVA-Med model, which is mainly used in biomedical research and can infer the patient's pathological condition based on CT and X-ray pictures. It is reported that Microsoft researchers have cooperated with a group of hospitals to obtain a large data set corresponding to biomedical image text to train multimodal AI models. The dataset includes chest X-ray, MRI, histology, pathology, and CT images, etc., and the coverage is relatively comprehensive. During the learning process, the model mainly revolves around "describing the content of such images" and "explaining biomedical concepts". According to Microsoft, the model ended up with "excellent multimodal dialogue capabilities" and "LLaVA-Med outperformed other state-of-the-art models in the industry on some metrics on three standard biomedical datasets used to answer vision questions." The model is currently open source.