Recently, Google announced a new feature in its search results aimed at helping users better understand how content is created and modified. This initiative follows Google's joining of the Content Provenance and Authenticity Alliance (C2PA), which includes major brands like Amazon, Adobe, and Microsoft, all dedicated to combating online misinformation. Google stated that this new feature will be gradually rolled out over the coming months, using current content credential standards (i.e., image metadata) to label AI-generated or edited images in search results.

Recently, a new study has shown that engaging in less than 10 minutes of conversation with a chatbot can effectively reduce people's beliefs in certain deeply held conspiracy theories, such as rumors surrounding the COVID-19 pandemic. The study was led by a team from MIT, where the researchers specifically designed a highly persuasive AI model—ChatGPT—to individually refute the conspiracy claims of participants through personalized dialogue. In this experiment, the researchers recruited over 2,000 individuals who self-identified as conspiracy believers.

Recently, a study on misinformation from Harvard Kennedy School found that fake research papers generated by artificial intelligence are infiltrating academic search engines like Google Scholar. This could undermine public trust in scientific discoveries and disrupt product development in industries that rely on cutting-edge research.

Kimi Smart Assistant, a subsidiary of Beijing Yue's Dark Side Technology Co., Ltd., recently announced that its Kimi API now supports online search functionality. This marks a significant enhancement in the interactive experience, allowing users to retrieve information from the Internet via the API. This update to the Kimi API enables developers to leverage this feature, allowing applications to 'surf the web' by automatically performing online searches and providing answers when encountering questions during conversations.

At the recent Apple event, the company launched not only new iPhones, AirPods, and Apple Watch Series 10 but also introduced AI-driven visual intelligence for the first time. This innovative feature equips the iPhone camera with the ability to recognize and search for photographed subjects, such as objects or restaurant signs, providing relevant information through AI technology. Users can simply take a picture within the camera app to quickly obtain the needed data. Apple emphasized data privacy, ensuring that user data is stored securely in a private cloud.

OpenAI's Sora Video AI model is currently in the research stage, with its original release date delayed. This is mainly due to ongoing communications with policymakers, cautious considerations regarding safety risks, and technical challenges leading to high costs. Sora faces legal risks concerning training data and it is yet to be confirmed whether YouTube data has been used. Additionally, OpenAI is actively collaborating with Hollywood, testing the model with several individuals, including Ashton Kutcher, to explore its potential applications in the film industry.

Google Photos has recently rolled out the AI-powered search tool 'Ask Photos' to select users in the U.S. through early access, revolutionizing interactions with digital albums. This feature allows users to query and retrieve photos using natural language, going beyond traditional keyword searches. The technology behind it is the Gemini AI model, which can understand photo content and metadata, providing deeper search results. Users can ask complex questions, and the AI will filter the best results based on various factors such as photo quality and location information.

Zillow has launched a new AI search feature aimed at simplifying the home-finding experience. Users can simply enter location and time criteria, such as 'homes within 30 minutes drive from Disneyland,' and the AI can quickly filter appropriate listings. The new feature also includes the ability to search for properties based on budget, like 'homes in Seattle for rent not exceeding $4,000 per month.' This AI-enhanced search scans millions of property listings and combines natural language queries to provide accurate matching results. The feature is currently available on Zillow's iOS and Android apps.

Researchers at Binghamton University in New York, led by Ahmed Abdeen Hammed, have developed a machine learning algorithm called xFakeSci that can identify fabricated academic papers with up to 94% accuracy. Hammed and his team created 50 fake papers on topics including Alzheimer's disease, cancer, and depression, and conducted comparative analyses with genuine papers. They found that the number of bigrams in the fake papers was significantly lower than in the real papers, and the relevance of the content was much stronger. Hammed plans to expand the algorithm to more fields in response to A

On September 4, 2024, the Beijing ZhiYuan Artificial Intelligence Research Institute (BAAI) announced the launch of the world's first model combat evaluation service featuring text-to-video, called FlagEval Large Model Arena. This service is open to users and covers approximately 40 large models from both domestic and international sources, supporting customizable online or offline evaluations for four major tasks: language Q&A, multimodal image and text understanding, text-to-image, and text-to-video.

The 2024 annual work trends report released by Microsoft and LinkedIn shows that employers' preferences are shifting towards candidates with AI skills rather than those with extensive industry experience. 71% of corporate executives are inclined to hire job seekers with AI capabilities, but only 25% of companies plan to offer AI training, leading to 75% of knowledge workers learning AI tools on their own. With work pressure intensifying, 46% of employees consider resigning, and 45% worry that AI will replace their jobs. AI is reshaping the workplace, requiring professionals to actively learn and adapt.

Honor today announced the official launch of its latest feature—Honor AI Search, which promises to provide direct answers and a hundredfold increase in efficiency. Users can now quickly obtain search results through simple operations by pulling down the desktop, entering keywords, and clicking the AI search button, while enjoying a convenient search experience by sliding through the page to view outlines and mind maps.

The AI systems relied upon by autonomous vehicles play a critical role in decision-making, environmental perception, and predictive modeling. However, research from the University at Buffalo has unveiled the risks of these systems potentially being subjected to attacks. The study indicates that while current research is conducted in controlled environments, the discovered vulnerabilities in AI models related to radar detection could have far-reaching implications for the industry. 'Brick masks' made with 3D printing and metal foils can make vehicles 'disappear' in radar detection and potentially interfere with pedestrian detection. The motivations behind such attack methods include insurance fraud, competition, or malicious harm.

Recently, Kimi Open Platform launched the moonshot-v1-auto Model API, which automatically selects the optimal model to save costs. Additionally, it has updated features such as account password login, phone number replacement, and balance warning functions to enhance user experience. In the future, a connected search function will be introduced to strengthen API capabilities and provide developers with more innovative opportunities.

ByteDance is secretly preparing to establish a Large Model Research Institute to strengthen its position in AI large models. The institute has attracted top talents from the industry, including Qin Yujia and Huang Wenhao, who will manage technology projects and report directly to founder Zhang Yiming. This move indicates ByteDance's long-term plans and proactive strategies in AI model R&D, aiming to leverage external expertise for technological a....

Google is testing the 'Ask Photos' feature, which allows users to interact with their personal photo library using natural language, such as asking to view the best photos taken at every national park or querying license plate numbers. This feature hasn't been officially released yet but is included in the latest version of the Google app. Through 'Ask Photos', photos and videos will transform into a visual database that can intelligently extract information and context. Reports indicate that keywords found in the code suggest new extended functionalities related to Google Gemini.

AGI startup Anuttacon has announced the addition of Tong Xin and Wang Yuyang, with Tong Xin taking on the role of Chief Researcher and Wang Yuyang serving as President of User Ecosystem. Both are top talents in the industry, with Tong Xin previously being a global research partner at Microsoft and Wang Yuyang formerly serving as Vice President at Bilibili. Anuttacon focuses on AI technology, developing virtual world experiences and AGI products. This move showcases the company's ambition in the AGI field and its strong demand for top AI talents.

Baidu's Q2 2024 financial report shows total revenue of 33.9 billion RMB, with net profit between 5.5 billion and 7.4 billion RMB, performing better under non-GAAP standards. During the earnings call, Robin Li emphasized that competition in the AI field will be fierce and profitability will be key to survival. Baidu has invested in AI for many years, demonstrating its leading position, especially in the application of large models, with the Wenxin large model averaging over 600 million calls per day. The Intelligent Cloud business grew 14% year-on-year, benefiting from the increased demand for generative AI and large language models. The search business is accelerating its upgrade through the Wenxin large model.