Chat means chat, and GPT is the acronym for Gene Rate Pre trained Transformer. Genrative means generation, and its function is to create or produce something new; Pre trained refers to a model of artificial intelligence that is learned from a large amount of textual materials, while Transformer refers to a model of artificial intelligence. Don't worry about T, just focus on the words G and P. We mainly use its Generative function to generate various types of content; But we need to know why it can produce various types of content, and the reason lies in P. Only by learning a large amount of content can we proceed with reproduction. And this kind of learning actually has limitations, which is very natural. For example, if you have learned a lot of knowledge since childhood, can you guarantee that your answer to a question is completely correct? Almost impossible, firstly due to the limitations of knowledge, ChatGPT is no exception, as it is impossible to master all knowledge; The second is the accuracy of knowledge, how to ensure that all knowledge is accurate and error free; The third aspect is the complexity of knowledge, where the same concept is manifested differently in different contexts, making it difficult for even humans to grasp it perfectly, let alone AI. So when we use ChatGPT, we also need to monitor the accuracy of the output content of ChatGPT. It is likely not a problem, but if you want to use it on critical issues, you will need to manually review it again. And now ChatGPT has actually been upgraded twice, one is GPT4 with more accurate answering ability, and the other is the recent GPT Turbo. The current ChatGPT is a large model called multimodality, which differs from the first generation in that it can not only receive and output text, but also other types of input, such as images, documents, videos, etc. The output is also more diverse. In addition to text, it can also output images or files, and so on.

(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 latest trade monitor released recently by the World Trade Organization shows that between mid-October 2023 and mid-May 2024, WTO members continued to introduce more trade promotion measures than trade restrictive measures. The WTO said it was an important signal of members' commitment to keep trade flowing amid the current geopolitical uncertainty. According to WTO statistics, during the monitoring period, WTO members adopted 169 trade promotion measures on commodities, more than the 99 trade restrictive measures introduced. Most of the measures are aimed at imports. Commenting on the findings, WTO Director-General Ngozi Okonjo-Iweala said that despite the challenging geopolitical environment, this latest trade monitoring report highlights the resilience of world trade. Even against the backdrop of rising protectionist pressures and signs of economic fragmentation, governments around the world are taking meaningful steps to liberalize and boost trade. This demonstrates the benefits of trade on people's purchasing power, business competitiveness and price stability. The WTO monitoring also identified significant new developments in economic support measures. Subsidies as part of industrial policy are increasing rapidly, especially in areas related to climate change and national security.

This Barbie is going to be a mother. And Margot Robbie has no problem putting her burgeoning baby bump on full display. In fact, the Barbie star, who is pregnant with her Tom Ackerley’s first baby, debuted recently her bump while vacationing on Italy’s Lake Como with her husband July 7. For the outing, Margot donned a black blazer over a white tee that was cropped above her stomach, showing off a sweet baby bump. She finished off the look with low-rise black trousers, black platform sandals and a summery straw bag. For his part, Tom—whom Margot wed in a 2016 ceremony in her native Australia—wore olive green trousers and a cream-colored button-down shirt and tan sneakers. The couple were photographed waiting on a dock in Lake Como before they hopped in a boat and sailed off into a literal sunset. While Margot and Tom, both 34, haven’t spoken publicly about their upcoming bundle of joy, the I, Tonya alum has previously expressed hope to have a big family one day. As she told Porter in 2018, “If I'm looking into my future 30 years from now, I want to see a big Christmas dinner with tons of kids there.” Tom and Margot’s new chapter comes over ten years after their love story first began on the set of 2014's Suite Française, in which Margot starred while Tom worked as a third assistant director. But while she was immediately smitten, Margot was convinced her love would go unrequited. "I was always in love with him, but I thought, ‘Oh, he would never love me back,'" she admitted to Vogue in 2016. "'Don't make it weird, Margot. Don't be stupid and tell him that you like him.' And then it happened, and I was like, ‘Of course we're together. This makes so much sense, the way nothing has ever made sense before.'"

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.