
美国国家航空航天局宣布波音星际客机最新进展,计划最早于2024年12月或2025年1月执行星际客机-1无人任务以验证改进措施,并将在2028年执行载人任务。此前星际客机首次载人试飞因故障导致宇航员滞留空间站,被认定为A类事故,波音已对飞船进行热环境等改进。
AI-generated summary
波音星际客机是NASA商业载人航天计划的一部分,旨在提供往返国际空间站的载人交通服务。其首次载人试飞于2024年6月5日发射,但因推进器故障和氦气泄漏导致任务中止,宇航员滞留空间站直至2025年3月返回。
美国国家航空航天局28日公布波音“星际客机”最新进展及任务安排,计划最早于今年12月或明年1月执行“星际客机-1”不载人飞往国际空间站任务,并计划于2028年执行“星际客机-2”载人飞行任务。
美航空航天局表示,“星际客机-1”任务将作为工程评估任务,检验飞船改进措施,验证改进后的热环境,获取系统认证所需的性能数据,并在“星际客机-2”载人任务前识别潜在风险。
美航空航天局还宣布,计划安排第五次和第六次“星际客机”往返国际空间站飞行任务,并将与波音公司和联合发射联盟公司合作,在“宇宙神5”型火箭退役后,为“火神”火箭执行“星际客机”载人发射任务进行认证。
“星际客机”于2024年6月5日搭载两名美国宇航员前往国际空间站,执行首次载人试飞任务。飞船原计划在轨停留8至14天,但出现推进器故障和氦气泄漏等问题,被迫于当年9月不载人返回地球,两名宇航员则长时间滞留国际空间站,直至2025年3月改乘美太空探索技术公司的“龙”飞船返回地球。
今年2月,美航空航天局公布针对这一任务的调查结果,认定此次因飞船故障导致宇航员滞留国际空间站的试飞为严重程度等级最高的“A类”事故,并提出61项旨在确保未来任务符合载人航天飞行高标准的建议。根据调查结果,波音公司已对“星际客机”服务舱进行热环境等方面的改进,美航空航天局将在“星际客机-1”任务中对相关改进进行评估。
AI outlook — possibilities, not facts
星际客机-1无人任务将在2024年12月或2025年1月执行
Likely · Within months
星际客机-2载人任务将在2028年执行
Possible · Within years

When Jen-Hsun Huang attended the annual dinner of the South Korea-US friendship non-profit organization "Korea Association" in New York and received the Van Fleet Award, he once again emphasized that AI is not a living organism, but just a software. He opposed giving it too many human characteristics and called for an alignment mechanism to ensure the safe and responsible development of AI.

The result of the Joint Research Center of Tsinghua University Network Research Institute and Qihoo 360, "One Word Settles the World: Systematic Exploration and Exploitation of DNS Silencing Vulnerabilities in Domain Name Resolution" won the "Most Innovative Research Award" at The Pwnie Awards in 2026. This award is known as the Oscars of global white hat hackers and demonstrates China's international influence in the field of network security.

Many middle powers in Asia are investing a lot of public resources in developing local AI basic models to reduce their dependence on the United States and China. However, foreign media warn that the cost of basic model training increases by 3.5 times every year. The cost of next-generation models will far exceed the current scale of subsidies, and maintaining technological leadership requires continuous huge investments. It is difficult to catch up if they fall behind. Singapore chose to fine-tune the existing model as a localization alternative, and experts suggest that Asian countries should deepen their existing industrial advantages in semiconductors, memory chips, and robotics, rather than trying to build a competitive model from scratch. Because the advantages of leading companies have a cumulative effect, and the basic model is updated rapidly, the traditional industrial policy model has limited effect in this field.

The first batch of units 1 and 2 of the Xinjiang Dashixia Water Conservancy Project invested and constructed by China Energy Construction Gezhouba Group were connected to the grid to generate electricity on September 29. The project breaks the world record for concrete-faced gravel dams with a maximum dam height of 247 meters. It has a total installed capacity of 750,000 kilowatts and an average annual power generation of 1.893 billion kilowatt-hours. It can meet the annual electricity needs of about 600,000 households and assume the responsibility of South China. The four prefectures and prefectures in Xinjiang carried out peak load regulation tasks for the power system, and simultaneously transported 3.42 billion cubic meters of water to the Tarim River ecology, alleviating the water shortage problem of more than 6.8 million acres of farmland in the Aksu River Basin, and raising the flood control standard for downstream rivers from a once-in-10-year to a once-in-50-year period.

Two artificial intelligence system-level chips (SoC), ZQ300 and ZQ320, independently developed by China Electronics Technology Research Institute 58, recently completed full-link evaluation and achieved comprehensive performance indicators. The chip adopts a heterogeneous computing architecture, integrates display control, graphics and intelligent computing power, supports multi-source data fusion scenarios, and can be used for intelligent terminals, unmanned platform edge computing and real-time image processing, promoting the engineering application and large-scale deployment of domestic intelligent computing power chips.

Hou Shifeng, a returned overseas Chinese from the United States, Ph.D., and second-level professor, returned to China in 2009 and founded Shandong Jinlite New Materials Co., Ltd., breaking through key technologies for large-scale green preparation of graphene, building a fully closed-loop production line with independent intellectual property rights, promoting industrialization in new energy, electronics, aerospace and other fields, and promoting the development of Shandong graphene industry cluster through industry-university-research cooperation with overseas Chinese.