On June 27, the U.S. Space Command announced that a retired Russian satellite disintegrated in low Earth orbit on June 26, generating more than 100 pieces of debris, forcing astronauts on the International Space Station to hide for about an hour. The X-platform account of the International Space Station showed that shortly after 9 p.m. Eastern Time on June 26, NASA instructed the crew on the space station to hide in their respective spacecraft for safety because NASA learned in the morning of the 26th that a satellite disintegrated near the space station. About an hour later, the crew was allowed to leave the spacecraft and the space station resumed normal operation. There are rumors on social platforms that the satellite hit six U.S. GPS satellites after the disintegration and damaged 20 Starlink satellites developed by Space Exploration Technologies Corporation (SpaceX) led by Musk, triggering speculation that the relevant satellites were deliberately disintegrated.

The World Intellectual Property Organization (WIPO) recently said that China filed 38,000 artificial intelligtion-related generative AI patents from 2014-23, while the United States filed 6,276 of the 50,000 patents filed by all countries. Of the 50,000 applications, 25 percent were filed last year.The top five inventor regions are: China (38,210 inventions), the United States (6,276 inventions), the Republic of Korea (4,155 inventions), Japan (3,409 inventions) and India (1,350 inventions).

(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 largest collection of stolen passwords ever has been leaked to a notorious crime marketplace, according to cybersecurity researchers at Cybernews. This leak, dubbed RockYou2024 by its original poster “ObamaCare,” holds a file containing nearly 10 billion unique plaintext passwords. Allegedly gathered from a series of data breaches and hacks accumulated over several years, the passwords were posted on July 4th and hailed as the most extensive collection of stolen and leaked credentials ever seen on the forum. “In its essence, the RockYou2024 leak is a compilation of real-world passwords used by individuals all over the world,” the researchers told Cybernews. “Revealing that many passwords for threat actors substantially heightens the risk of credential stuffing attacks.” Credential stuffing attacks are among the most common methods criminals, ransomware affiliates, and state-sponsored hackers use to access services and systems. Threat actors could exploit the RockYou2024 password collection to conduct brute-force attacks against any unprotected system and “gain unauthorized access to various online accounts used by individuals whose passwords are included in the dataset,” the research team said. This could affect online services, cameras and hardware This could affect various targets, from online services to internet-facing cameras and industrial hardware. “Moreover, combined with other leaked databases on hacker forums and marketplaces, which, for example, contain user email addresses and other credentials, RockYou2024 can contribute to a cascade of data breaches, financial frauds, and identity thefts,” the team concluded. However, despite the seriousness of the data leak, it is important to note that RockYou2024 is primarily a compilation of previous password leaks, estimated to contain entries from a total of 4,000 massive databases of stolen credentials, covering at least two decades. This new file notably includes an earlier credentials database known as RockYou2021, which featured 8.4 billion passwords. RockYou2024 added approximately 1.5 billion passwords to the collection, spanning from 2021 through 2024, which, though a massive figure, is only a fraction of the reported 9,948,575,739 passwords in the leak. Thus, users who have changed their passwords since 2021 may not have to panic about a potential breach of their information. That said, the research team at Cybernews stressed the importance of maintaining data security. In response to the leak, they recommend immediately changing the passwords for any accounts associated with the leaked credentials, ensuring each password is strong and unique and not reused across different platforms. Additionally, they advised enabling multi-factor authentication (MFA), which requires an extra form of verification beyond the password, wherever possible, to strengthen cyber security. Lastly, tech users should utilize password manager software, which securely generates and stores complex passwords, mitigating the risk of password reuse across multiple accounts.

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