Use of AI is certainly the hottest topic in the tech industry and every major and minor player in this industry is using AI in some way. Tools like ChatGPT can help you do a wide range of task and even help you generate images. The other thing is - Voice Cloning. OpenAI recently introduced a voice engine that can generate clone of your voice with just 15 seconds of your audio. There is no shortage of voice cloning tools on the web which can help you do the same. The newest tech giant which is going to use AI to clone your voice is - TikTok. We all know TikTok, posting short videos with filters, effects and all other kind of things. So TikTok found a way to use the voice cloning AI in its app. TikTok is working on this feature, which does not seem to really have a proper name, it just references it as "Create your voice with AI" and "TikTok Voice Library". In the latest version of TikTok I came across some strings which indicates that TikTok is working on it. I was also able to access the initial UI which introduces the feature and was able to see the terms and condition of "TikTok Voice Library" which user have to accept in order to use the feature. Here are the screenshots from the app- As you can in the screenshot above, this is the initial screen which a user will see for the first time they access this feature. Tiktok claims that it can create an AI verison of your voice in just 10 seconds. The generated AI voice clone can be used with text-to-speech in TikTok videos. It also outline the process of how it will work. You have to record yourself speaking and TikTok will process the voice and use information about your voice to generate your AI voice. When it comes to privacy, your AI voice will stay private and you can delete it anytime. Tapping the "Continue" button brings "TikTok Voice Library Terms" screen which a user should definitely read, you can see here and read as well - How it will work After agreeing to terms and conditions I was introduced with a screen where TikTok will show some text and user have to press the record button while reading the text. Now unfortunately I did not see any text. This is probably because the feature is not fully ready or the backend from which it fetches the text is not live yet. Manually pressing the record button and saying random things also shows an error. So, it's also not possible to provide any sample voice generated with it and see how it compares to other voice cloning competitors. If it starts working someday, it will process your recorded voice and generate AI version of your voice. Here is a screenshot of that screen - My guess is that whenever the feature starts working, users have to clone voice only one time and the saved AI voice can be used through the text-to-speech method to add voice in your videos. You just have to type the words, choice is yours :p

(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.)

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

Amazon official said that the freight from the Chinese warehouse will be lower than the traditional FBA(Fulfillment by Amazon) fee, similar to the domestic air delivery small package service, which will undoubtedly greatly reduce the logistics costs of sellers. In addition to logistics, Amazon is also responsible for promotion and traffic, of course, sellers can still independently carry out product advertising, pricing and promotion activities, to maintain the personalized and independent brand. Many industry insiders said that Amazon launched the "low-price store" move to fight China's cross-border e-commerce platforms Temu, Shein, AliExpress and so on. Although it provides another platform for China's e-commerce to go to sea, many sellers said that the cost of settling in Amazon cross-border e-commerce has become lower, and they have asked about the conditions of settling in, but the rules look down, in fact, it is not so friendly for sellers.

SEOUL, July 9 (Reuters) - Samsung Electronics (005930.KS), opens new tab said on Tuesday it won an order from Japanese artificial intelligence company Preferred Networks to make chips for AI applications using the South Korean firm's 2-nanometre foundry process and advanced chip packaging service. It is the first order Samsung has revealed for its cutting-edge 2-nanometre chip contract manufacturing process. Samsung did not elaborate on the size of the order. The chips will be made using high-tech chip architecture known as gate all-around (GAA) and multiple chips will be integrated in one package to enhance inter-connection speed and reduce size, Samsung said in a statement. South Korea's Gaonchips Co (399720.KQ), opens new tab designed the chips, Samsung said. The chips will go toward Preferred Networks' high-performance computing hardware for generative AI technologies such as large language models, Junichiro Makino, Preferred Networks vice president and chief technology officer of computing architecture, said in the statement.