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.

(Kitco News) - Gold and silver prices are sharply lower in midday U.S. trading Monday, on heavy profit-taking from the shorter-term futures traders after recent good price advances. The selling pressure today across most of the raw commodity spectrum is also keeping the precious metals bulls on the sidelines to start the trading week. August gold was last down $37.50 at $2,360.10. September silver was down $0.849 at $30.85. U.S. stock indexes mixed but near their record highs scored last week. The rallying stock market is a bearish element for the gold and silver markets, from a competing asset class perspective. The key U.S. data points of the week include Fed Chairman Powell’s speeches to the U.S. Congress on Tuesday and Wednesday, and the consumer and producer price indexes on Thursday and Friday, respectively. The key outside markets today see the U.S. dollar index slightly higher. Nymex crude oil prices are lower and trading around $82.25 a barrel. The benchmark 10-year U.S. Treasury note yield is presently 4.288%. Technically, August gold bulls have the overall near-term technical advantage. Bulls’ next upside price objective is to produce a close above solid resistance at the June high of $2,406.70. Bears' next near-term downside price objective is pushing futures prices below solid technical support at $2,300.00. First resistance is seen at $2,382.60 and then at $2,400070. First support is seen at $2,350.00 and then at last week’s low of $2,327.40. Wyckoff's Market Rating: 6.0. September silver futures bulls have the overall near-term technical advantage. Silver bulls' next upside price objective is closing prices above solid technical resistance at the May high of $33.05. The next downside price objective for the bears is closing prices below solid support at the June low of $28.90. First resistance is seen at $31.00 and then at $31.50. Next support is seen at Friday’s low of $30.45 and then at $30.00. Wyckoff's Market Rating: 6.5. (Hey! My “Markets Front Burner” weekly email report is my best writing and analysis, I think, because I get to look ahead at the marketplace and do some market price forecasting. Plus, I’ll throw in an educational feature to move you up the ladder of trading/investing success. And it’s free! Email me at jim@jimwyckoff.com and I’ll add your email address to my Front Burner list.)

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.

More than 6,500 employees at South Korea's Samsung Electronics began a three-day mass strike on Monday (July 8), demanding an extra day of paid annual leave, higher pay raises and changes to the way performance bonuses are currently calculated. This is the largest organized strike in Samsung Electronics' more than half century of existence, and the union said that if this strike does not push employees' demands to be met, a new strike may be called. One of the core issues of the current dispute between the labor union and Samsung Electronics is raising wages and increasing the number of paid vacation days. The second demand is a pay rise. The union originally wanted a pay rise of more than 3% for its 855 employees, but last week they changed their demand to include all employees (rather than just 855). The third issue involves performance bonuses linked to Samsung's outsized profits - chip workers did not receive the bonuses last year when Samsung lost about Won15tn and, according to unions, fear they will still not get the money even if the company manages to turn around this year.

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