At the Apple Developer Conference held earlier, the iPhone 16 series will be equipped with iOS 18 has been revealed. At the event, Apple showed off a series of convenient interactive experiences brought by Apple Intelligence, including a more powerful Siri voice assistant, Mail app that can generate complex responses, and Safari that aggregates web information. These upgrades will no doubt make the iPhone 16 line even more attractive. In order to use Apple Intelligence, a new feature of iOS 18, the iPhone 16 and 16 Pro series are equipped with A18 chips. An external blogger found in Apple's back end that the iPhone 16 series will use the same A-series chip, and the back end code mentions A new model unrelated to the existing iPhone. It includes four iPhone 16 series models, and the four identifiers all start with the same number, indicating that Apple is attributing them to the same platform. The new iPhone will have a stainless steel battery case, which will make it easier to remove the battery to meet EU market standards, while also allowing Apple to increase the density of the battery cell in line with safety regulations.

Google's new generation of flagship smartphone Pixel 9 series is expected to be officially released in mid-August, and the new machine is likely to be equipped with ultrasonic fingerprint recognition technology for the first time to replace the original optical fingerprint recognition. According to core intelligence, Google Pixel 9 series will use the same Qualcomm 3D Sonic Gen 2 ultrasonic fingerprint recognition sensor as the Samsung Galaxy S24 Ultra. This ultrasonic technology under the screen fingerprint sensor is Qualcomm released at the CES2021 conference, compared with the previous generation of solutions, the module thickness is further reduced to 0.2mm, while the scanning area is expanded to 8mm×8mm, that is, the recognition area is increased by 77%. This will also allow users to realize fingerprint recognition without having to point their fingertips 100% accurately at the identification area indicated on the screen.

Apple is planning to revamp its smartwatch as its 10th birthday nears. The improvements include larger displays and thinner builds, Bloomberg reported. The revamped watches may also get a new chip, which could enable some AI enhancements. The Apple Watch is about to turn 10, so Apple is planning a birthday revamp, including larger displays and thinner builds, Bloomberg reported. Both versions of the new Series 10 watches will have screens similar to the large displays found on the Apple Watch Ultra, the report said. The revamped watches are also expected to contain a new chip that may permit some AI enhancements later on. Last month, Apple pulled back the curtain on its generative-AI plans with Apple Intelligence. Advertisement It hopes the artificial-intelligence features will prove alluring enough to persuade consumers to buy new Apple products. The announcement has been generally well received by Wall Street. Dan Ives of Wedbush Securities wrote in a Monday note that the "iPhone 16 AI-driven upgrade could represent a golden upgrade cycle for Cupertino." "We 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," he added. Apple's stock closed on Friday at just over $226 a share, up 22% this year and valuing the company at $3.47 trillion. That puts it just behind Microsoft, which was worth $3.48 trillion at Friday's close. The tech giants have been vying for the title of the world's most valuable company in recent months — with the chipmaker Nvidia briefing claiming the crown last month. Apple also announced some software updates for the watch at its Worldwide Developers Conference last month. The latest version of the device's software, watchOS 11, emphasizes fitness and health, introducing tools that allow users to rate workouts and adjust effort ratings. WatchOS 11 will also use machine learning to curate the best photos for users' displays. Apple has previously used product birthdays to release new versions of devices. The iPhone X's release marked the 10th anniversary of the smartphone. However, it's not clear exactly when Apple plans to release the revamped watches, Bloomberg said. The company announced the Apple Watch in September 2014, with CEO Tim Cook calling it "the most personal product we've ever made." Apple did not immediately respond to a request for comment made outside normal working hours.

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

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.