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ChatGPT: Explained to Kids(How ChatGPT works)

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.

McDonald’s expands operational map in Chinese market, to roll out more outlets in the country
McDonald's China, together with its four major suppliers announced the launch of an industrial park in Xiaogan city, Central China's Hubei Province on Wednesday, highlighting the importance of Chinese market in terms of supply chain for food business. With a combined investment of 1.5 billion yuan ($206 million), the park, named Hubei Smart Food Industrial Park, is a joint project with Bimbo QSR, XH Supply Chain, Tyson Foods Inc, and Zidan, according to information provided to the Global Times. The park is expected to produce 34,000 tons of meat products, 270 million buns, 30 million pastries, and 2 billion packaged products annually. It also features a 25,000-square-meter high-standard automated warehouse for frozen, refrigerated, and dry goods, reducing logistics time by 90 percent from manufacturing to arriving at the destination. Leveraging local geographical advantages, the park will become a supply hub for McDonald's in central and western China, enhancing supply efficiency and stability for its outlets there, the company said. "McDonald's has been deeply rooted in China for over 30 years, and the park is an echo of our long-term development in China," said Phyllis Cheung, CEO of McDonald's China. "Without any long-term strategy, we don't have any structural advantage in China," Cheung noted. The US food giant continues to expand its business map in China. As of the end of June in 2024, there were over 6,000 restaurants and over 200,000 employees in the market. China has become the second largest and fastest-growing market of McDonald's. In 2023, McDonald's China unveiled the ambition of operating 10,000 restaurants by 2028. To support this, McDonald's and its suppliers have invested over 12 billion yuan from between 2018 to 2023 to develop new production capacities and enhance supply chain sustainability. Observers said that the industrial park reflect foreign companies' confidence in operating in China as the country takes concrete measures in furthering reform and opening-up. China's foreign direct investment from January to May 2024 reached 412.51 billion yuan, with the number of newly-established foreign-backed companies reaching 21,764, rising by 17.4 percent year-on-year, data from China's Ministry of Commerce revealed. According to a recent survey by the American Chamber of Commerce in China, the majority of US companies saw improved profitability in China in 2023, and half of the survey participants put China as their first choice or within their top three investment destinations globally. Olaf Korzinovski, EVP of Volkswagen China, who is responsible for production and components, also shared his understanding of supply chains in China with the Global Times. Volkswagen has been operating in China for about 40 years. "In order to seize greater value for our customers," Volkswagen Group is stepping up pace of innovation in China, and systematically purshing forward the digitalization process, Korzinovski noted, adding the company is strengthening local capabilities with accelerated decision-making efficiency. Global Times
Wto: Members have more trade promotion measures than restrictions
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.
How the iPhone 16 With AI Could Send Apple's Market Value to $4T
Apple could be on track to reach a $4 trillion market capitalization with the artificial intelligence (AI) iPhone 16 upgrade cycle coming, Wedbush analysts said. The analysts said the iPhone 16 supercharged with AI could bring a "golden upgrade cycle" for Apple. Apple's recently announced iOS 18 with Apple Intelligence and OpenAI partnership are also expected to create monetization opportunities and increase share value. Apple (AAPL) could be on the path to a $4 trillion market capitalization as an iPhone upgrade cycle approaches, driven by the iPhone 16 supercharged with artificial intelligence (AI) capabilities, according to Wedbush analysts. 1 Apple's recently announced iOS 18 with Apple Intelligence and OpenAI partnership are also expected to create monetization opportunities and increase share value. AI iPhone 16 Upgrade Cycle Coming Soon Wedbush analyst said that an AI iPhone 16 could bring "a golden upgrade cycle for Cupertino looking ahead with pent-up demand building globally." "The Street is now starting to slowly recognize that with Apple Intelligence on the doorstep in essence Cupertino will be the gatekeepers of the consumer AI Revolution," they said, with 2.2 billion iOS devices globally and 1.5 billion iPhones. Wedbush suggested a "consumer AI tidal wave" could start with the iPhone 16 in mid-September, adding that estimates indicate 270 million iPhones users have not upgraded in over four years. Recovery in China To Support Upgrade Cycle The analysts indicated that iPhone supply stabilization in Asia is also "a very good sign heading into a monumental iPhone 16 upgrade cycle." Wedbush's projections come amid ongoing concerns for the iPhone maker in the China region amid increased competition, though there have been recent signs of improving shipments. They projected that June "will be the last negative growth quarter for China with a growth turnaround beginning in the September quarter," when the iPhone 16 is expected to be released. AI and iOS 18 Could Also Boost Share Value Apple unveiled iOS 18 supercharged by Apple Intelligence and an AI partnership with OpenAI at its developers' conference in June. Wedbush analysts said the partnership with the Chat-GPT maker "creates the highway for developers around the globe to focus on iOS 18 and this in turn will create a myriad of monetization opportunities for Cook & Co. over the coming years." The analysts estimated that "this could result in incremental Services high margin growth annually of $10 billion for Apple" driven by hardware and software. They added they believe "AI technology being introduced into the Apple ecosystem will bring monetization opportunities on both the services as well as iPhone/hardware front and adds $30 to $40 per share." Apple shares were little changed in early trading Monday, though they have gained more than 17% since the start of the year. Do you have a news tip for Investopedia reporters? Please email us at tips@investopedia.com SPONSORED Trade on the Go. Anywhere, Anytime One of the world's largest crypto-asset exchanges is ready for you. Enjoy competitive fees and dedicated customer support while trading securely. You'll also have access to Binance tools that make it easier than ever to view your trade history, manage auto-investments, view price charts, and make conversions with zero fees. Make an account for free and join millions of traders and investors on the global crypto market.
China's generative AI patents are far ahead of the US!
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).
Stanford AI project team apologizes for plagiarizing Chinese model
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