July 4 (Reuters) - A hacker gained access to the internal messaging systems at OpenAI last year and stole details about the design of the company's artificial intelligence technologies, the New York Times reported, opens new tab on Thursday. The hacker lifted details from discussions in an online forum where employees talked about OpenAI's latest technologies, the report said, citing two people familiar with the incident. However, they did not get into the systems where OpenAI, the firm behind chatbot sensation ChatGPT, houses and builds its AI, the report added. OpenAI executives informed both employees at an all-hands meeting in April last year and the company's board about the breach, according to the report, but executives decided not to share the news publicly as no information about customers or partners had been stolen. OpenAI executives did not consider the incident a national security threat, believing the hacker was a private individual with no known ties to a foreign government, the report said. The San Francisco-based company did not inform the federal law enforcement agencies about the breach, it added. OpenAI in May said it had disrupted five covert influence operations that sought to use its AI models for "deceptive activity" across the internet, the latest to stir safety concerns about the potential misuse of the technology. The Biden administration was poised to open up a new front in its effort to safeguard the U.S. AI technology from China and Russia with preliminary plans to place guardrails around the most advanced AI Models including ChatGPT, Reuters earlier reported, citing sources.

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!

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.

HONG KONG, July 9 (Reuters) - Nornickel (GMKN.MM), opens new tab is in talks with China Copper to form a joint venture that would allow the Russian mining giant to move its entire copper smelting base to China, four sources with knowledge of the matter told Reuters. If the move goes ahead, it would mark Russia's first uprooting of a domestic plant since the U.S. and Britain banned metal exchanges from accepting new aluminium, copper and nickel produced by Russia. It also means Nornickel's copper will be produced within the country where it is most consumed. Nornickel said in April it planned to close its Arctic facility and build a new plant in China with an unnamed partner. Executives at China Copper, owned by the world's largest aluminium producer Chinalco (601600.SS), opens new tab, flew to Moscow in June to discuss a possible joint venture, one of the sources said, adding that details of the structure and investment are still under discussion. Nornickel declined to comment. Chinalco and China Copper did not respond to requests for comment via email and phone. Sites being considered in China include Fangchenggang and Qinzhou in the Guangxi region, the two sources said, with another source saying Qingdao in Shandong province was also possible. A decision on a joint venture will be made over the next few months, a fifth source said, adding that Nornickel's Chinese output is likely to be consumed domestically. The new facility will have capacity to produce 450,000 tonnes of copper annually, two of the sources said, amounting to around 2% of global mined supplies estimated at around 22 million metric tons this year. Nornickel, which according to its annual report produced 425,400 tonnes of refined copper last year, processed all of its concentrates in 2023 at the Arctic plant, its only operation producing finished copper suitable for delivery to exchanges.

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.