BEIRUT/JERUSALEM July 3 (Reuters) - An Israeli strike killed one of Hezbollah's top commanders in south Lebanon on Wednesday, prompting retaliatory rocket fire by the Iran-backed group into Israel as their dangerously poised conflict rumbled on. The Israeli military said it had struck and eliminated Hezbollah's Mohammed Nasser, calling him commander of a unit responsible for firing from southwestern Lebanon at Israel. Nasser, killed by an airstrike near the city of Tyre in southern Lebanon, was the one of the most senior Hezbollah commanders to die yet in the conflict, two security sources in Lebanon said. Sparked by the Gaza war, the hostilities have raised concerns about a wider and ruinous conflict between the heavily armed adversaries, prompting U.S. diplomatic efforts aimed at deescalation. Israeli Defence Minister Yoav Gallant said Israeli forces were hitting Hezbollah "very hard every day" and will be ready to take any action necessary against the group, though the preference is to reach a negotiated arrangement. Hezbollah began firing at Israeli targets at the border after its Palestinian ally Hamas launched the Oct. 7 attack on Israel, declaring support for the Palestinians and saying it would cease fire when Israel stops its Gaza offensive. Hezbollah announced at least two attacks in response to what it called "the assassination", saying it launched 100 Katyusha rockets at an Israeli military base and its Iranian-made Falaq missiles at another base in the town of Kiryat Shmona near the Israeli-Lebanese border. Israel's Channel 12 broadcaster reported that dozens of rockets were fired into northern Israel from Lebanon. There were no reports of casualties. The Israeli Defence Ministry said that air raid sirens sounded in several parts of northern Israel. Israel's military did not give a number of rockets launched but said most of them fell in open areas, some were intercepted, while a number of launches fell in the area of Kiryat Shmona.

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.

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.

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

New York CNN — A record number of passengers are expected to pass through US airports this holiday travel week. You’d think this would be a great time to run an airline. You’d be wrong. Airlines face numerous problems, including higher costs, such as fuel, wages and interest rates. And problems at Boeing mean airlines have too few planes to expand routes to support a record numbers of flyers. Strong bookings can’t entirely offset that financial squeeze. The good news for passengers is they will be spared most of the problems hurting airlines’ bottom lines — at least in the near term. Airfares are driven far more by supply and demand, not their costs. But in the long run, the airlines’ difficulties could mean fewer airline routes, less passenger choice and ultimately a less pleasant flying experience. Profit squeeze Industry analysts expect airlines to report a drop of about $2 billion in profit, or 33%, when they report financial results for the April to June period this year. That would follow losses of nearly $800 million across the industry in the first quarter. Labor costs and jet fuel prices, the airlines’ two largest costs, are both sharply higher this year. Airline pilot unions just landed double-digit pay hikes to make up for years of stagnant wages; flight attendant unions now want comparable raises. Jet fuel prices are climbing because of higher demand in the summer. According to the International Air Transport Association’s jet fuel monitor, prices are up 1.4% in just the last week, and about 4% in the last month. Adding to the airlines’ problems is the crisis at Boeing, as well as the less-well-publicized problems with some of the jet engines on planes from rival Airbus. Since an Alaska Airlines Boeing 737 Max jet lost a door plug on a January 5 flight, leaving a gaping hole in the side of the plane 10 minutes after takeoff, the Federal Aviation Administration has limited how many jets Boeing can make over concerns about quality and safety. As a result, airlines have dramatically reduced plans to expand their fleets and replace older planes with more fuel efficient models. In some cases, airlines have asked pilots to take time off without pay, and carriers such as Southwest and United have announced pilot hiring freezes. In addition to the problems at Boeing, hundreds of the Airbus A220 and A320 family of jets globally have also been grounded for at least a month or more to deal with engine problems. Just about all the planes with those engines have been out of sevice for at least a few days to undergo examinations. And Airbus has also cut back the number of planes it expects to deliver to airlines this year because of supply chain problems. Problems for flyers For now, competition in the industry remains fierce: There are 6% more seats available this month compared to July of 2023, according to aviation analytics firm Cirium. And that’s helped to drive fares down — good news for passengers, but more bad news for airlines’ profits. Southwest announced in April that it would stop serving four airports to trim costs — Bellingham International Airport in Washington state, Cozumel International Airport in Mexico, Syracuse Hancock International Airport in New York and Houston’s George Bush Intercontinental Airport. Many more cities lost air service during the financial hard times of the pandemic. While upstart airlines are driving prices lower for travelers, those discount carriers might not survive long term. As the major carriers are making less money, many of the upstarts are flat-out losing money.