MiniMax plans to launch a large model with 2.7 trillion parameters.
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MiniMax plans to launch a large-scale model with 2.7 trillion parameters.
Mars Finance reported on July 8th that Rare Earth Technology plans to launch a new generation of large-scale models with 2.7 trillion parameters. (Science and Technology Innovation Board Daily)
Large-scale model stocks in Hong Kong extended their gains, with MINIMAX and Zhipu rising over 16%.
Mars Finance reported on July 8th that MINIMAX-W (00100.HK) rose 17%, and Zhipu (02513.HK) rose 16%. In terms of news, Zhipu, a leading Hong Kong-listed large-scale model manufacturer, saw its first share lock-up period expire today, with several core institutional investors clearly choosing to continue their investment. (Science and Technology Treasure Broadcast)
Some large-scale AI models in China are 90% cheaper than those in the US; Chinese AI's high cost-effectiveness is capturing the US market.
According to a report by CNBC on July 7th, influenced by the continued price increases of models from leading US AI vendors, Chinese AI large-scale models are rapidly expanding their application scale in US enterprises due to their cost-effectiveness advantage. Industry insiders point out that the performance of some leading open-source and open weighted models in China is currently about 6 to 9 months behind the technology of top-tier US models such as OpenAI and Anthropic, while the price is 60% to 90% lower, and they can cover the vast majority of routine AI tasks, thus gaining popularity among US enterprises. According to statistics from the AI model aggregation platform OpenRouter, since February 8th of this year, the proportion of Chinese AI models used by US enterprises has exceeded 30% weekly, reaching a peak of 46%; while the average proportion in the previous 12 months was 11%. Another industry statistic shows that in the first week of the launch of Zhipu's latest large-scale model GLM 5.2, the daily average number of word calls increased by 27 times and the number of customers increased by 80 times, making it the fastest-deployed model on the platform in 2026; US AI startup Lindy has significantly reduced costs after switching all its AI business to DeepSeek models, and expects to save millions of dollars within a few months. (CCTV Finance)
SpaceX AI and Cursor plan to launch their first jointly developed AI model as early as Wednesday.
PANews reported on July 8th that, according to Reuters citing The Information, SpaceX AI and Cursor plan to launch their first jointly developed AI model as early as Wednesday. The report stated that the model was originally scheduled for release earlier this week but was delayed due to efficiency optimizations. The new model is expected to have rapid information processing capabilities and, in some aspects, compete with Anthropic's Opus 4.8 and OpenAI's GPT 5.5. In June, SpaceX announced its acquisition of Anysphere, the company behind the AI programming assistant Cursor, in a $60 billion all-stock transaction to strengthen its position in the AI tools market. SpaceX (formerly xAI) was acquired by SpaceX in February of this year, and SpaceX officially joined the Nasdaq 100 index this Tuesday.
Ministry of Human Resources and Social Security: By 2030, the large-scale model of the human resources and social security industry will be mature and complete, and the artificial intelligence application system will be basically sound.
According to Mars Finance, the Ministry of Human Resources and Social Security, the National Development and Reform Commission, the Ministry of Industry and Information Technology, and the National Data Administration recently jointly issued the "Implementation Opinions on Accelerating the Application and Development of 'Artificial Intelligence + Human Resources and Social Security'". A relevant official from the Ministry of Human Resources and Social Security answered reporters' questions regarding the "Implementation Opinions". In terms of promoting the work, a three-step work goal will be achieved within five years. First, building the foundation. Taking this year (2026) as a benchmark, the initial formation of the artificial intelligence application system, standard system, and guarantee system in the human resources and social security sector will be promoted. The infrastructure for "Artificial Intelligence + Human Resources and Social Security" applications will be deployed, a number of high-performance human resources and social security industry large-scale models and intelligent agent applications will be cultivated, and about 20 application scenarios based on human resources and social security industry large-scale models and corresponding high-quality datasets will be created, forming a collaborative development ecosystem of computing power, models, data, and scenario applications. Second, popularization and promotion. By 2027, a number of human resources and social security industry large-scale models and intelligent agents will be widely applied, and about 50 high-value application scenario empowerment paths will be explored, achieving significant results in intelligent development. Third, widespread application. By 2030, high-quality datasets will be effectively supplied, large-scale models for the human resources and social security industry will be mature and complete, and the artificial intelligence application system will be basically sound, forming an innovative landscape where artificial intelligence is widely applied in the human resources and social security sector. (Cailian Press)
Berachain mainnet PoL Next launched, transitioning the BGT model to the sWBERA incentive system.
According to ChainCatcher, the Berachain mainnet PoL Next has officially launched. The contract upgrade marks the first step in the transition from the original BGT model to a simpler, more sustainable incentive system centered on sWBERA. The complete transition is divided into two phases: the contract change takes effect on July 7th, and WBERA will begin to be distributed to replace BGT; the hard fork on July 8th will completely stop BGT production, and the old mechanism will be officially shut down. After the transition is completed, BGT LST Reward Vaults and BGT LST incentives will be gradually phased out in the coming days. The official team will provide migration tools for all users on the Hub's Portfolio page, but the migration will not be automatic; users need to manually replace BGT and BGT LSTs with sWBERA. Early APR may fluctuate, but it is estimated that it can increase up to 3 times the original. The hard fork will take place on July 8th at 16:00 UTC (12:00 PM EDT).