July 9 (Reuters) - German sportscar maker Porsche (P911_p.DE), opens new tab said on Tuesday that global vehicle deliveries were down 7% in the first half of the year compared to the same period in 2023, primarily driven by a 33% year-on-year drop in China. Porsche, majority-owned by Volkswagen (VOWG_p.DE), opens new tab, is highly exposed to the EU-China tariff tensions, with deliveries to China accounting for nearly 20% of global deliveries. An HSBC analyst pointed to weakness in the European car market, saying that "the market is, understandably, worried about China pricing weakness and the prospect of needing to pay dealer compensation." Overall, Porsche delivered 155,945 cars worldwide during the first six months of the year. In North America, deliveries were down 6% year-on-year. Meanwhile, in Porsche’s home market of Germany, deliveries increased by 22% to 20,811 vehicles.

WhatsApp beta version 2.24.14.20 has a new feature that allows users to share photos with Meta AI. The AI chatbot will analyze uploaded images and provide information or context about the content. Users may be able to request specific edits to their photos directly through Meta AI, though the extent of this feature is still unknown. As the battle for AI dominance heats up, Meta is adding a new trick to its AI chatbot, Meta AI, which is already part of Facebook, Instagram, and WhatsApp. While Meta AI already has impressive text capabilities, such as replying to questions, suggesting captions, and holding conversations, users cannot currently share or upload photos to the Meta AI chat. WaBetaInfo has uncovered the exciting new feature in the WhatsApp beta for Android version 2.24.14.20. This feature will allow Meta AI to interact with photos shared by users, reply to photos, and even edit them. As shown in the attached screenshot, WhatsApp is testing a new camera button in the Meta AI chat, designed to function similarly to the camera button in regular chats. This addition will allow users to manually share photos with Meta AI, a capability that is currently unavailable. With this new functionality, users will be able to ask questions about their photos, presumably allowing users to ask the AI to identify objects or locations or provide context about the photo’s content. Moreover, the screenshot suggests that Meta AI will also offer the option to edit photos, enabling users to make changes to their images directly within the chat by sharing a prompt. The exact scope of this image editing feature remains unclear, leaving us to wonder if it will be limited to simple tweaks or if it will unleash a powerful AI-driven photo editing suite. The possibilities are both exciting and intriguing, and this feature could definitely be a big hit, especially if it performs as promised. While this new image-sharing feature would mean Meta will analyze and face-scan the photos you upload, the screenshot includes a disclaimer indicating that users will have the option to delete their photos whenever they want. As of now, it seems that the feature is still in development, so it might be some time before we finally get to see it roll out publicly. Recently, we also reported about WhatsApp working on an “Imagine Me” feature that would allow Meta AI to generate AI avatars of you based on a set of your photos. WhatsApp in our newsletters WhatsApp is a leading messaging app, keep up to date on the latest, and learn about more Android apps today!

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.

The world's first portable electrocardiograph was an 85-pound backpack, and now a 10-gram patch attached to your chest can transmit electrocardiograms uninterrupted for two weeks. The Apple Watch, which is worn by an estimated 100 million people, can send a text message to alert people when their heartbeat is irregular. Wearable sensors on the arms, wrists and fingers can now report arrhythmias, blood sugar levels, blood oxygen and other health indicators. Medical journals have also proposed a more ambitious vision - wearable devices can monitor patients with chronic diseases, eliminating the need for frequent hospital visits. They can spot potential health problems before a stroke or diabetes develops. The forces of health technology and wearables are converging. Tech giants like Apple (AAPL) and Alphabet's (GOOGL) Google are adding health features to their products. Medical technologists like electrocardiogram patch maker iRhythm Technologies or blood sugar monitor makers DexCom (DXCM) and Abbott Laboratories (ABT) are taking their devices beyond the clinic. "In the sensor world, people started on the consumer side and wanted to get into health care," said Kevin Sayer, chief executive of Decon Medical. "In health care, we're trying to be more consumer oriented, and I think all of those things are sort of colliding." Early bets favored the tech giants, with every health-related announcement from Apple, Google or Samsung Electronics hitting medical tech stocks. But changing doctors' practices will also require sustained investment in clinical trials. Big tech companies have cut back on investments in health care. Now it seems that medical technologists will be at the vanguard of the digital health revolution - with smartwatches and smart rings bringing them more customers who need to be diagnosed. Blake Goodner, co-founder of Bridger Management, a hedge fund focused on health care, said: "A group of medtech companies focused on digital health are maturing and reaching a scale where they can not only be profitable but also make investments to compete with larger tech companies." Tech giants aren't getting out of the health business. Apple's smartwatch has an electronic heart rate sensor that generates a single-point electrocardiogram, a wrist temperature sensor, and an accelerometer that can detect violent falls. Hundreds of millions of people are wearing smartwatches with health features from Apple or its rivals Samsung and Garmin.

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.