Companies are going to have fewer people and fewer layers. Ten years from now, the software development circuit may have fewer jobs, higher salaries, and more product-centric work. The reason behind it is the rapid development of AI, AI has approached human beings at the intelligence level, a lot of work relying on thinking ability may be handed over to AI, while emotion is still the territory of human beings, how to communicate and collaborate is the most important ability in the near future. When Indeed's chart for software development and operations jobs was released, we found that, as the chart shows, there was a peak in early 2022, but after that there was a precipitous decline.

From the perspective of the two major markets of the United States and China, the autonomous driving industry has fallen into a low tide in recent years. For example, last year, Cruise Origin, one of the twin stars of Silicon Valley autonomous driving companies and once valued at more than $30 billion, failed completely, its Robotaxi (driverless taxi) operation qualification was revoked, and autonomous driving models have been discontinued. However, as a new track with the deep integration of digital economy and real economy, automatic driving is a must answer: on the one hand, automatic driving will accelerate the process of technology commercialization and industrialization, and become an important part of the game of major powers; On the other hand, autonomous driving will also promote industrial transformation and upgrading by improving the mass travel service experience, seeking new engines for urban development, and injecting new vitality into the urban economy.

WASHINGTON, June 24 (Reuters) - Problems with Boeing's Starliner capsule, still docked at the International Space Station (ISS), have upended the original plans for its return of its two astronauts to Earth, as last-minute fixes and tests draw out a mission crucial to the future of Boeing's (BA.N), opens new tab space division. NASA has rescheduled the planned return three times, and now has no date set for it. Since its June 5 liftoff, the capsule has had five helium leaks, five maneuvering thrusters go dead and a propellant valve fail to close completely, prompting the crew in space and mission managers in Houston to spend more time than expected pursuing fixes mid-mission. Here is an explanation of potential paths forward for Starliner and its veteran NASA astronauts, Barry "Butch" Wilmore and Sunita "Suni" Williams. THE CURRENT SITUATION Starliner can stay docked at the ISS for up to 45 days, according to comments by NASA's commercial crew manager Steve Stich to reporters. But if absolutely necessary, such as if more problems arise that mission officials cannot fix in time, it could stay docked for up to 72 days, relying on various backup systems, according to a person familiar with flight planning. Internally at NASA, Starliner's latest targeted return date is July 6, according to this source, who spoke on condition of anonymity. Such a return date would mean that the mission, originally planned for eight days, instead would last a month. Starliner's expendable propulsion system is part of the craft's "service module." The current problems center on this system, which is needed to back the capsule away from the ISS and position it to dive through Earth's atmosphere. Many of Starliner's thrusters have overheated when fired, and the leaks of helium - used to pressurize the thrusters - appear to be connected to how frequently they are used, according to Stich.

The Ukrainian presidential office said on July 8 local time that Russia's large-scale attacks on many parts of Ukraine have killed 36 people and injured 140 others. According to the Ukrainian State Emergency Service, a total of 619 rescue workers and 132 equipment participated in the rescue work across Ukraine that day. Ukrainian President Zelensky said on social media on the 8th that Russia launched more than 40 missiles of various types at Ukraine that day. Residential buildings and infrastructure in many cities in Ukraine were damaged in varying degrees of attacks, and a children's hospital was destroyed. Rescue departments are currently conducting emergency rescue on the scene. The Russian Ministry of Defense issued a statement on the 8th local time saying that Ukrainian officials' claim that Russia used missiles to attack Ukrainian civilian facilities was untrue. The damage suffered by Kiev was caused by the fall of missiles launched by the city's air defense system.

An artificial intelligence (AI) team at Stanford University apologized for plagiarizing a large language model (LLM) from a Chinese AI company, which became a trending topic on the Chinese social media platforms, where it sparked concern among netizens on Tuesday. We apologize to the authors of MiniCPM [the AI model developed by a Chinese company] for any inconvenience that we caused for not doing the full diligence to verify and peer review the novelty of this work, the multimodal AI model Llama3-V's developers wrote in a post on social platform X. The apology came after the team from Stanford University announced Llama3-V on May 29, claiming it had comparable performance to GPT4-V and other models with the capability to train for less than $500. According to media reports, the announcement published by one of the team members quickly received more than 300,000 views. However, some netizens from X found and listed evidence of how the Llama3-V project code was reformatted and similar to MiniCPM-Llama3-V 2.5, an LLM developed by a Chinese technology company, ModelBest, and Tsinghua University. Two team members, Aksh Garg and Siddharth Sharma, reposted a netizen's query and apologized on Monday, while claiming that their role was to promote the model on Medium and X (formerly Twitter), and that they had been unable to contact the member who wrote the code for the project. They looked at recent papers to validate the novelty of the work but had not been informed of or were aware of any of the work by Open Lab for Big Model Base, which was founded by the Natural Language Processing Lab at Tsinghua University and ModelBest, according to their responses. They noted that they have taken all references to Llama3-V down in respect to the original work. In response, Liu Zhiyuan, chief scientist at ModelBest, spoke out on the Chinese social media platform Zhihu, saying that the Llama3-V team failed to comply with open-source protocols for respecting and honoring the achievements of previous researchers, thus seriously undermining the cornerstone of open-source sharing. According to a screenshot leaked online, Li Dahai, CEO of ModelBest, also made a post on his WeChat moment, saying that the two models were verified to have highly similarity in terms of providing answers and even the same errors, and that some relevant data had not yet been released to the public. He said the team hopes that their work will receive more attention and recognition, but not in this way. He also called for an open, cooperative and trusting community environment. Director of the Stanford Artificial Intelligence Laboratory Christopher Manning also responded to Garg's explanation on Sunday, commenting "How not to own your mistakes!" on X. As the incident became a trending topic on Sina Weibo, Chinese netizens commented that academic research should be factual, but the incident also proves that the technology development in China is progressing. Global Times