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Recently, AI security company XBOW announced that its self-developed AI tool XBOW has outperformed others on the globally renowned vulnerability testing platform HackerOne, ranking first in the United States. This is the first time an AI tool has surpassed human security researchers to top the HackerOne vulnerability disclosure ranking, marking a milestone breakthrough for AI in the field of vulnerability detection. XBOW AI: Pioneer of Fully Automated Penetration Testing XBOW's AI tool is a completely autonomous penetration testing (pentest) system that requires no human intervention.

Recently, the AI company Anthropic invested millions of dollars to purchase and "dismantle" a large number of books for training its AI assistant Claude. This move has drawn widespread public attention and sparked heated discussions in the legal community. According to a report by the foreign media Ars Technica, Anthropic adopted a controversial method to obtain training data. They dismantled a large number of physical books, scanned them into digital files, and then destroyed the original copies. This practice was revealed in court documents.

In a recent episode of the podcast "Hard Fork," OpenAI's CEO Sam Altman voluntarily discussed the copyright lawsuit filed by The New York Times against OpenAI and its major investor, Microsoft. The lawsuit primarily accuses OpenAI of using The New York Times' content without authorization while training its large language models. Altman expressed concern about the lawsuit, particularly regarding a new request made by The New York Times' lawyers.

With the rapid development of artificial intelligence, data center infrastructure is facing unprecedented pressure, especially in terms of power supply and sustainability. Recently, at an industry roundtable meeting, experts discussed the major challenges faced by the UK data center industry, particularly how to maintain environmental commitments while supporting AI innovation. Image source note: The image is AI-generated. Richard Clifford, Vice President of Sales and Solutions for EMEA at MidjourneySalute Company, pointed out that our biggest

In the wave of digital transformation, Nangang Group has partnered with Huawei to launch the "YuanYe - Steel Big Model." This revolutionary model is based on Huawei's PanGu Big Model platform, aiming to connect four business interfaces throughout the steel production process, creating 20 artificial intelligence application scenarios, and comprehensively enhancing data flow and intelligence levels. To promote this transformation, Nangang Group has established a digital operation management system called "One Brain Three Centers," combined with a cloud-edge-end big data platform and an enterprise-level data hub. These measures have not only improved R&D...

Recently, Bilibili announced the integration of Qwen3 and Qwen-VL models, and based on this technology, launched InsightAgent. This initiative has significantly improved the efficiency of its commercial platforms, HuaFire and BiDa. During the recent 618 major e-commerce promotion event, Bilibili's commercial platforms leveraged InsightAgent to achieve a significant leap in commercial order conversion and data insight efficiency.

OpenAI CEO Sam Altman recently hinted that the company's next generation large language model GPT-5 may be released this summer. This vague timeline has drawn significant attention from the artificial intelligence industry, as the release of GPT-5 will become an important milestone for measuring the direction of AI industry development.

With the continuous progress of artificial intelligence technology, multimodal data processing has gradually become a popular topic. Recently, the globally renowned electrical appliances brand Panasonic launched its latest R&D multimodal large model — OmniFlow. This model can efficiently convert between multiple modalities such as text, image, and audio, achieving any-to-any generation tasks, providing users with a more flexible experience. The design concept of OmniFlow is based on modularity, allowing the various components of the model to be independently pre-trained. This approach not only improves training efficiency but also avoids...

According to CLS (China Lending Service) News, on June 12th, Alex Wang, CEO of the well-known artificial intelligence startup Scale AI, sent an important letter to all employees, announcing that the company has received a massive new investment from the tech giant Meta. At the same time, Wang also revealed that he will leave his position to join Meta but will continue to serve as a director at Scale AI to support the company's mission and long-term vision. In the letter, Wang stated that he and the Scale board have unanimously agreed to have Jason Droege take over as interim...

Recently, with the announcement of the college entrance exam results approaching, candidates and their parents have entered a critical period for volunteer filing. In order to help candidates plan their volunteers scientifically and reasonably, Quark APP officially released the first college entrance exam volunteer large model on June 12, 2025, and launched a completely new professional college entrance exam knowledge base, aiming to provide candidates with more professional and accurate college entrance exam volunteer services.

On June 10th, at the 9th Digital Finance and Financial Security Conference of 2025, Ant Technology Group announced that Tianji Lab has been fully upgraded from the original Digital Identity Security Lab to an AI+ Industry Innovation Lab. The lab will focus on key technological breakthroughs in the application of large AI models in industries, promoting deep integration of AI technology innovation with industry through building a collaborative eco-system of industry-academia-research-application. Zhou Yanli, member of the 13th National Committee of the Chinese People's Political Consultative Conference, former deputy secretary and vice president of the China Insurance Regulatory Commission, Shen Changkang, professor at Beijing University of Technology and expert in information system engineering, et al.

Recently, Amazon announced a major investment plan to expand its data center infrastructure by investing at least $20 billion in Pennsylvania, USA. This move is not only a continuation of Amazon's ongoing investment in the field of artificial intelligence but also a forward-looking layout for future technological development. Amazon’s investment background is closely related to industry trends. With the rapid development of generative AI technology, an increasing number of enterprises realize the importance of improving data processing capabilities for innovation and competition. Therefore, Amazon hopes to expand its data centers to...