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.

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.

A spokesperson for the Ministry of Commerce (MOFCOM) on Monday rejected remarks from the EU Ambassador to China on the anti-subsidy investigation into Chinese electric vehicles (EVs). MOFCOM said China had expressed strong opposition through various channels since October 2023 and has always advocated for handling economic and trade frictions through dialogue and consultation in order to maintain the overall strategic partnership between China and Europe. EU Ambassador to China Jorge Toledo claimed on Sunday that the EU has been trying to engage with China for months regarding the imposition of tariffs on Chinese EVs but that China had only recently sought to initiate discussions. This is false, the spokesperson said. MOFCOM said that after the European Commission (EC) officially filed a case, Chinese Commerce Minister Wang Wentao sent a letter to European Commission Executive Vice-President Valdis Dombrovskis on October 24, 2023, expressing hope to resolve the case through dialogue and negotiation. On November 13, 2023, Wang sent another letter to the European side proposing negotiation suggestions. In February 2024, Wang met with Dombrovskis during the WTO's 13th Ministerial Conference face to face and proposed dialogue and negotiation with the European side. On May 19, 2024, Wang reiterated the hope for dialogue and negotiation to resolve the case in a letter to the European side. Additionally, Chinese technical experts have been sending signals to the European side regarding on-site inspections, hearings, and other channels since the case was filed, expressing willingness to resolve trade frictions through dialogue and negotiation. On the day the preliminary ruling was announced on June 12, Dombrovskis replied to Wang in a letter, expressing the desire for both sides to strengthen dialogue to resolve the case. On June 22, Wang held a video conference with Dombrovskis, and they agreed to start negotiations on the EU's anti-subsidy investigation into Chinese EVs. Subsequently, China sent a working group to Europe for negotiations on June 23, and multiple rounds of technical consultations were held simultaneously via video. MOFCOM said that China has shown the utmost sincerity and hopes that the European side will meet China halfway, show sincerity, and push forward the negotiation process to reach a mutually acceptable solution as soon as possible. China has always believed that trade protectionist measures are not conducive to the development of global green industries and automotive industry cooperation. Efforts should be made to adhere to dialogue and cooperation to promote economic green transformation, rather than creating divisions and disrupting global industrial and supply chains, MOFCOM said. China firmly opposes any unilateralism and protectionism that politicizes and weaponizes economic and trade issues, and will take all necessary measures to defend its own interests against any abuse of rules and suppression of China, MOFCOM added.

On the afternoon of July 8, local time, the Vietnamese Ministry of Health issued a notice stating that an 18-year-old girl in the country died of diphtheria. The Ministry of Health asked Nghe An Province and Bac Giang Province to take urgent action to control the epidemic. Diphtheria is an acute respiratory infectious disease caused by Corynebacterium diphtheriae, which is mainly transmitted through droplets and can also be indirectly transmitted by contact with objects containing Corynebacterium diphtheriae. Severe cases may show symptoms of poisoning throughout the body, complicated by myocarditis and peripheral nerve paralysis.

In fact, ChatGPT can bring more opportunities to many industries, such as customer service, marketing, speech recognition, and more. ChatGPT can help businesses engage with customers more effectively, improve the customer experience, and give businesses more time and resources to focus on other tasks. Come to see While ChatGPT can replace humans in certain situations, it is not a complete replacement for humans. In many cases, human-to-human communication is still the most effective way. Therefore, the emergence of ChatGPT will not lead to the unemployment of all people, but will cause structural changes in the labor force and the redistribution of occupations.