(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.)

The world's deepest diving pool, Deepspot, opened this weekend near the Polish capital Warsaw. The 45.5-meter pool contains artificial underwater caves, Mayan ruins and a small shipwreck for scuba divers and free divers to explore. Deepspot can hold 8,000 cubic meters of water, more than 20 times the capacity of a normal 25-meter swimming pool. Unlike ordinary swimming pools, Deepspot can still open despite Poland's COVID-19 epidemic prevention restrictions because it is a training center that provides courses. The operator also plans to open a hotel where guests can observe divers at a depth of 5 meters from their rooms. "This is the deepest diving pool in the world," Michael Braszczynski, 47, Deepspot's director and a diving enthusiast, told AFP at the opening yesterday. The current Guinness World Record holder is a 42-meter-deep pool in Montegrotto Terme, Italy. The 50-meter-deep Blue Abyss pool in the UK is scheduled to open in 2021. On the first day of Deepspot's opening, about a dozen people visited, including eight experienced divers who wanted to pass the instructor exam. "There are no spectacular fish or coral reefs here, so it can't replace the ocean, but it is certainly a good place to learn and train safe open water diving," said 39-year-old diving instructor Przemyslaw Kacprzak. "And it's fun! It's like a kindergarten for divers."

LONDON, July 9 (Reuters) - U.S.-based hedge fund Elliott Associates on Tuesday urged a London court to overturn a verdict supporting the London Metal Exchange's (LME) cancellation of nickel trades partly because the exchange failed to disclose documents. The LME annulled $12 billion in nickel trades in March 2022 when prices shot to records above $100,000 a metric ton in a few hours of chaotic trade. Elliott and market maker Jane Street Global Trading brought a case demanding a combined $472 million in compensation, alleging at a trial in June last year that the 146-year-old exchange had acted unlawfully. London's High Court ruled last November that the LME had the right to cancel the trades because of exceptional circumstances, and was not obligated to consult market players prior to its decision. Lawyers for Elliott told London's Court of Appeal that the LME belatedly released documents in May detailing its "Kill Switch" and "Trade Halt" internal procedures. It also newly disclosed an internal report that Elliott said detailed potential conflicts of interest at the exchange. "It was troubling that one gets disclosure out of the blue in the Court of Appeal for the first time," Elliott lawyer Monica Carss-Frisk told the court. Jane Street Global did not appeal the ruling. "If we had had them (documents) in the proceedings before the divisional court, we may well have sought permission to cross examine." LME lawyers said the new documents were not relevant. "The disclosed documents do not affect the reasoning of the divisional court or the merits of the arguments on appeal," the exchange said in documents prepared for the appeal hearing. "Elliott's appeal is largely a repetition of the arguments which were advanced, and rightly rejected." The LME said it had both the power and a duty to unwind the trades because a record $20 billion in margin calls could have led to at least seven clearing members defaulting, systemic risk and a potential "death spiral". Elliott said the ruling diluted protection provided by the Human Rights Act and also wrongly concluded the LME had the power to cancel the trades.

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

In the past few weeks of anti-government activities in Kenya, AI tools have been creatively used by protesters to serve protests. According to the US "Flag" News Agency on July 5, protests in Kenya triggered by the 2024 fiscal bill are still continuing. In the past few weeks, Kenyan protesters, mainly young people, have creatively developed a series of AI tools to assist anti-government activities. The Kenyan government expressed concern about the risks associated with the use of AI tools in protests. Kelvin Onkundi, a software engineer in Kenya, developed the "Fiscal Bill GPT", which operates similarly to ChatGPT and can receive questions about the fiscal bill and generate responses. Martin Siele, a reporter from the "Flag" News Agency, analyzed: "The 'Fiscal Bill GPT' can convert professional terms in many legislative fields into easy-to-understand information for protesters, helping Kenyans understand the potential impact of the fiscal bill." Another software engineer, Marion Kavengi, developed the "SHIF GPT" to provide Kenyans with information about the upcoming Social Health Insurance Fund (SHIF). In addition to AI tools designed to help people understand controversial policies, protesters have also developed "Corrupt Politicians GPT" to assist protest demonstrations. After entering the name of a politician on the platform, the platform will generate a list of corruption scandals about the politician in chronological order. Developer BenwithSon wrote on the social platform X on June 28: "'Corrupt Politicians GPT' allows people to search for any scandal related to any politician. I have seen some leaders stand at the forefront of the political arena, but they are corrupt behind the scenes." Kenyan Chief Minister and Foreign Minister Mudavadi issued a communiqué to ambassadors of various countries in Nairobi on July 2 local time on protests and relevant government measures, expressing concerns about the use of AI and false information in protests. Mudavadi said: "AI technology is used by people with ulterior motives, which will fill the global information system with false narratives." The Kenya Times reported on June 30 that AI technology enables people to force the government to increase transparency and strengthen accountability, and its role in Kenyan political activities is becoming increasingly prominent. Martin Siller believes that AI is reshaping African political behavior in many ways. AI is a new tool for both governments and opposition parties in Africa, but Kenya is one of the African countries with the most developers, and its young protesters are particularly good at using AI technology to fight the government. The 2024 fiscal bill voted and passed by the Kenyan National Assembly on June 25 clearly stated that additional taxes will be levied to repay the interest on high sovereign debt, triggering large-scale demonstrations. After President Ruto announced the withdrawal of the tax increase bill on the evening of the 26th, demonstrations in many parts of Kenya continued. According to Reuters on July 3, Kenyan anti-government protesters are re-adjusting their activities to prevent the protests from turning into violent incidents.