n a recent interview with ABC, US President Joe Biden said he had no intention of dropping out of the race, blaming his poor debate performance on a cold. He also insisted he was "still in good shape" and would remain in the race, saying only "Almighty God" could pull him out. An insider who has worked with Mr. Biden for a long time said that signs of aging had become apparent over the past year, but that Mr. Biden's team had failed to address it. Biden's televised debate performance heightened concerns about an already slow-moving issue. Mr. Biden's advisers have long dodged questions about his age. But now they acknowledge that Biden's aging is an undeniable fact. The debate forced the president to more openly acknowledge the limitations of his age, which he had previously largely dismissed. But they have only taken superficial measures and have not fundamentally solved the problem. They replaced the long staircase that Mr. Biden used to board Air Force One with a shorter one; Assistants often accompanied him in public to make his stiff gait less noticeable; While he has a busy schedule, aides have arranged for buffer time, such as long weekends at his homes in Wilmington and Rehoboth Beach, Delaware, or extended stays at Camp David, a Maryland resort, to rest after a "grueling" stretch of travel. Under the authority of one of his top advisers, Anita Dunn, Mr. Biden's public interactions -- especially with reporters -- were severely limited. Even at major events with Democrats or other supporters, the White House sometimes limits the amount of time Biden can spend with the audience, two people familiar with the matter said. As a protective response, designed to protect their longtime boss.

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.

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

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.