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Are US development jobs falling off a cliff?

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.

Rotten eggs chemical detected on Jupiter-like alien planet
WASHINGTON, July 8 (Reuters) - The planet known as HD 189733b, discovered in 2005, already had a reputation as a rather extreme place, a scorching hot gas giant a bit larger than Jupiter that is a striking cobalt blue color and has molten glass rain that blows sideways in its fierce atmospheric winds. So how can you top that? Add hydrogen sulfide, the chemical compound behind the stench of rotten eggs. Researchers said on Monday new data from the James Webb Space Telescope is giving a fuller picture of HD 189733b, already among the most thoroughly studied exoplanets, as planets beyond our solar system are called. A trace amount of hydrogen sulfide was detected in its atmosphere, a first for any exoplanet. "Yes, the stinky smell would certainly add to its already infamous reputation. This is not a planet we humans want to visit, but a valuable target for furthering our understanding of planetary science," said astrophysicist Guangwei Fu of Johns Hopkins University in Baltimore, lead author of the study published in the journal Nature, opens new tab. It is a type called a "hot Jupiter" - gas giants similar to the largest planet in our solar system, only much hotter owing to their close proximity to their host stars. This planet orbits 170 times closer to its host star than Jupiter does to the sun. It completes one orbit every two days as opposed to the 12 years Jupiter takes for one orbit of the sun. In fact, its orbit is 13 times nearer to its host star than our innermost planet Mercury is to the sun, leaving the temperature on the side of the planet facing the star at about 1,700 degrees Fahrenheit (930 degrees Celsius). "They are quite rare," Fu said of hot Jupiters. "About less than one in 100 star systems have them." This planet is located 64 light-years from Earth, considered in our neighborhood within the Milky Way galaxy, in the constellation Vulpecula. A light-year is the distance light travels in a year, 5.9 trillion miles (9.5 trillion km). "The close distance makes it bright and easy for detailed studies. For example, the hydrogen sulfide detection reported here would be much more challenging to make on other faraway planets," Fu said. The star it orbits is smaller and cooler than the sun, and only about a third as luminous. That star is part of a binary system, meaning it is gravitationally bound to another star. Webb, which became operational in 2022, observes a wider wavelength range than earlier space telescopes, allowing for more thorough examinations of exoplanet atmospheres.
Poland and Ukraine sign bilateral security agreement
On July 8, Ukrainian President Zelensky, who was visiting Poland, and Polish Prime Minister Tusk signed a bilateral security agreement in Warsaw, the capital of Poland. The agreement clearly states that Poland will provide support to Ukraine in air defense, energy security and reconstruction. After signing the agreement, Tusk said that the agreement includes actual bilateral commitments, not "empty promises." Previously, the United States, Britain, France, Germany and other countries as well as the European Union signed similar agreements with Ukraine.
South African rand stable as markets await US interest rate hints
JOHANNESBURG, July 9 (Reuters) - The South African rand was little changed in early trade on Tuesday, as markets awaited the Federal Reserve chair's testimony in Washington and U.S. June inflation data for clues on the country's future interest rate path. At 0644 GMT, the rand traded at 18.1300 against the dollar , near its previous close of 18.1175. "The rand has opened marginally softer at 18.13 this morning, and we expect trading to remain range-bound in the short term," said Andre Cilliers, currency strategist at TreasuryONE. Markets will listen to the tone of Fed Chair Jerome Powell's testimony in Washington on Tuesday and Wednesday and look to June inflation data out of the U.S. later this week for hints on the future interest rate path in the world's biggest economy. "Analysts will be gauging the Fed's response to the recent softer U.S. economic and labour data, with markets already starting to price in two rate cuts this year," Cilliers added. The risk-sensitive rand often takes cues from global drivers like U.S. economic policy in the absence of major local factors. South Africa's benchmark 2030 government bond was slightly stronger in early deals, with the yield down 1 basis point at 9.74%.
Stanford AI project team apologizes for plagiarizing Chinese model
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
Nvidia H20 will sell 1 million units this year, contributing $12 billion in revenue!
Recently, according to the FT, citing the latest forecast data of the market research institute SemiAnalysis, AI chip giant NVIDIA will ship more than 1 million new NVIDIA H20 acceleration chips to the Chinese market this year, and it is expected that the cost of each chip is between $12,000 and $13,000. This is expected to generate more than $12 billion in revenue for Nvidia. Affected by the United States export control policy, Nvidia's advanced AI chip exports to China have been restricted, H20 is Nvidia based on H100 specifically for the Chinese market to launch the three "castration version" GPU among the strongest performance, but its AI performance is only less than 15% of H100, some performance is even less than the domestic Ascend 910B. When Nvidia launched the new H20 in the spring of this year, there were reports that due to the large castration of H20 performance, coupled with the high price, Chinese customers' interest in buying is insufficient, and they will turn more to choose China's domestic AI chips. Then there are rumors that Nvidia has lowered the price of the H20 in order to improve its competitiveness. However, the latest news shows that due to supply issues caused by the low yield of the Ascend 910B chip, Chinese manufacturers in the absence of supply and other better options, Nvidia H20 has started to attract new purchases from Chinese tech giants such as Baidu, Alibaba, Tencent and Bytedance. Analysts at both Morgan Stanley and SemiAnalysis said the H20 chip is now being shipped in bulk and is popular with Chinese customers, despite its performance degradation compared to chips Nvidia sells in the United States.