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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.

On the evening of June 11, XPeng Motor officially released its latest model - XPeng G7. This car is known as the world's first AI car with L3-level computing power. Its biggest highlight lies in the installation of XPeng’s self-developed Turing AI chip, which has a computational capability equivalent to three Orin-X chips, showcasing XPeng's technical advantages in the intelligent vehicle field. The XPeng G7 is equipped with a powerful 40-core processor that can run up to 30B simulation parameters and features two self-developed neural network processors.

Alibaba has released its innovative autonomous search AI agent - WebAgent - on GitHub. This AI agent features end-to-end information retrieval and multi-step reasoning capabilities, enabling it to actively search, analyze, and make decisions in network environments like humans. Its release will greatly enhance researchers' efficiency in acquiring and organizing information.

Salesforce announced on Tuesday that it would acquire cloud data management company Informatica for approximately $8 billion in cash to further enhance the capabilities of its core AI strategy platform, Agentforce. According to the agreement, Informatica's Class A and B-1 common stockholders will receive a cash payout of $25 per share. The transaction will be financed through Salesforce's cash reserves and new debt. Salesforce President and Chief Technology Officer

Alibaba Group and global enterprise software giant SAP announced today a significant strategic cooperation, integrating SAP's enterprise-level software with Alibaba Cloud infrastructure and AI capabilities to inject strong momentum into innovation and digital transformation of global enterprises. The core highlight of this cooperation is that SAP will explore the integration of Qwen large language model and fully support enterprises in deploying SAP ERP Cloud and private cloud versions on Alibaba Cloud. As a certified cloud service provider of SAP, Alibaba Cloud will provide services for enterprise clients across all industries.

China Unicom announced today at the "Zhi Jia Tong" product launch that it has jointly launched a family robot named "Zhi Jia Tong" with Huawei. China Unicom emphasized that this product is fully domestically produced and independently developed. It was introduced that "Zhi Jia Tong" achieves autonomous control in multiple aspects. Its design is self-developed, including architecture and appearance structure; its R&D is self-developed, equipped with cloud-based Zhi OS for family scenarios, full-stack smart control system, and Tong intelligent body; its standards are self-defined, possessing China Unicom's Zhi Jia Tong product specification and terminal specification; its operation is self-controlled, supporting integration of multiple products.

At the upcoming Shanghai International Auto Show, the Volkswagen Group will showcase its first self-developed autonomous driving system. This full-stack solution was developed by Carizon, a joint venture between Volkswagen's software division Cariad and Horizon Robotics in Beijing, and trained using a new AI platform called GAIA. Volkswagen says the technology will debut later this year in a Volkswagen-branded electric vehicle, with gradual integration into a range of models based on the MEB platform starting in 2026.

The fifth China International Consumer Products Expo recently opened in Haikou. At this expo, Mogo AI, in collaboration with the Hainan Provincial Department of Industry and Information Technology, the Haikou Municipal People's Government, and Hainan Expressway Company, launched a striking demonstration project. The core of this project is the application of AI large models to smart transportation, showcasing a "full-scenario, multi-functional" vehicle-road-cloud integrated solution. Image Note: Image generated by AI, image authorized by Midjourney in Haikou.

XPeng Motors announced that its self-developed Turing AI chip, designed to support Level 4 autonomous driving capabilities, is slated for mass production in 2025.

XPeng Motors held an AI technology sharing session in Hong Kong yesterday, unveiling its newly developed 720-billion-parameter large-scale autonomous driving model – the "XPeng World" base model. This model features a multi-modal architecture, integrating visual understanding, chain reasoning, and action generation capabilities. It aims to be deployed to vehicle-end devices via cloud distillation technology and simultaneously empower ecological products such as AI robots and flying cars.

Microsoft co-founder Bill Gates recently offered insightful perspectives on AI's impact on work. Gates argues that work isn't an inherent human purpose, but a product of scarcity, fundamentally relying on human intelligence to provide diverse services. He envisions an AI revolution transforming traditional industries within a decade. In healthcare and education, AI systems are projected to handle over 80% of routine diagnoses, drug development, and knowledge dissemination. AI's precise algorithms and continuous operation enable it to not only...

Wayve recently launched GAIA-2, its latest video-generating world model. A significant upgrade from its predecessor, GAIA-1, this groundbreaking technology generates highly diverse and controllable driving scenario videos to greatly enhance the safety of assisted and autonomous driving systems. The release of GAIA-2 marks a significant step forward for Wayve in leveraging generative AI to enable safer and smarter transportation. GAIA-2 offers a substantial improvement in scene diversity compared to GAIA-1.

Researchers at the Hebrew University of Jerusalem recently discovered that in Retrieval Augmented Generation (RAG) systems, the number of documents processed significantly impacts language model performance, even when the total text length remains constant. The research team conducted experiments using 2,417 questions from the MuSiQue validation dataset, each linked to 20 Wikipedia paragraphs. Two to four paragraphs contained relevant answer information, with the remaining paragraphs serving as distractors. To study the impact of the number of documents, the team created multiple data partitions, progressively reducing the number of documents from 20 to...