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.

Recently, according to the FT, citing the latest forecast data of the market research institute SemiAnalysis, AI chip giant NVIDIA will ship more than 1 million new NVIDIA H20 acceleration chips to the Chinese market this year, and it is expected that the cost of each chip is between $12,000 and $13,000. This is expected to generate more than $12 billion in revenue for Nvidia. Affected by the United States export control policy, Nvidia's advanced AI chip exports to China have been restricted, H20 is Nvidia based on H100 specifically for the Chinese market to launch the three "castration version" GPU among the strongest performance, but its AI performance is only less than 15% of H100, some performance is even less than the domestic Ascend 910B. When Nvidia launched the new H20 in the spring of this year, there were reports that due to the large castration of H20 performance, coupled with the high price, Chinese customers' interest in buying is insufficient, and they will turn more to choose China's domestic AI chips. Then there are rumors that Nvidia has lowered the price of the H20 in order to improve its competitiveness. However, the latest news shows that due to supply issues caused by the low yield of the Ascend 910B chip, Chinese manufacturers in the absence of supply and other better options, Nvidia H20 has started to attract new purchases from Chinese tech giants such as Baidu, Alibaba, Tencent and Bytedance. Analysts at both Morgan Stanley and SemiAnalysis said the H20 chip is now being shipped in bulk and is popular with Chinese customers, despite its performance degradation compared to chips Nvidia sells in the United States.

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.

CAIRO/GAZA, July 6 (Reuters) - At least 16 people were killed in an Israeli strike on a school sheltering displaced Palestinian families in central Gaza on Saturday, the Palestinian health ministry said, in an attack Israel said had targeted militants. The health ministry said the attack on the school in Al-Nuseirat killed at least 16 people and wounded more than 50. The Israeli military said it took precautions to minimize risk to civilians before it targeted the gunmen who were using the area as a hideout to plan and carry out attacks against soldiers. Hamas denied its fighters were there. At the scene, Ayman al-Atouneh said he saw children among the dead. "We came here running to see the targeted area, we saw bodies of children, in pieces, this is a playground, there was a trampoline here, there were swing-sets, and vendors," he said. Mahmoud Basal, spokesman of the Gaza Civil Emergency Service, said in a statement that the number of dead could rise because many of the wounded were in critical condition. The attack meant no place in the enclave was safe for families who leave their houses to seek shelters, he said. Al-Nuseirat, one of Gaza Strip's eight historic refugee camps, was the site of stepped-up Israeli bombardment on Saturday. An air strike earlier on a house in the camp killed at least 10 people and wounded many others, according to medics. In its daily update of people killed in the nearly nine-month-old war, the Gaza health ministry said Israeli military strikes across the enclave killed at least 29 Palestinians in the past 24 hours and wounded 100 others.

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