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At the 17th International Exhibition of Transportation Technology and Equipment held recently, JD Logistics officially launched its self-developed unmanned light truck product - JD Logistics VAN. This unmanned light truck has a large cargo space of 24 cubic meters, making it the one with the largest cargo capacity in the logistics industry. It is expected to replace traditional 4.2-meter trucks in logistics shuttle and transfer station links. According to the introduction, JD Logistics VAN has a full-load driving range of up to 400 kilometers and is equipped with L4-level autonomous driving capabilities on public roads. This means it can drive autonomously.

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 officially released QwenLong-L1-32B today, a large language model specially designed for long context reasoning, marking a significant breakthrough in AI's ability to handle long text processing. The model outperforms o3-mini and Qwen3-235B-A22B, performing at a level comparable to Claude-3.7-Sonnet-Thinking. The biggest technical breakthrough of QwenLong-L1-32B is that it is the first in the world to be trained via reinforcement learning.

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.

Recent reports suggest XPeng is internally developing a new technology called "Crowdsourced Mapping," aiming to enhance the accuracy of its autonomous driving system's navigation. This technology, in its preliminary research phase after several months of development, could potentially supplement XPeng's Level 3 autonomous driving solution. The core of crowdsourced mapping lies in the collaborative effort of multiple vehicles to collect road data in real-time, dynamically generating and updating maps. This approach offers the advantage of covering areas inaccessible to sensors, providing the intelligent driving system with more comprehensive data.

Recently, global technology leader IBM and world-renowned beauty company L'Oréal announced an exciting collaboration plan aimed at leveraging IBM's Generative AI technology to deeply analyze cosmetics formulation data, thereby promoting the use of sustainable raw materials. This innovative effort will develop a customized AI foundational model designed to significantly enhance L'Oréal's R&D team's performance and consumer satisfaction across various cosmetics. This partnership combines L'Oréal's extensive expertise in cosmetic science with IBM's advanced technology.

Cainiao Group officially launched its new L4 public road autonomous vehicle - Cainiao GT Pro today. This vehicle is the first upgrade and redesign after the launch of the L4 public road autonomous vehicle Cainiao GT in 2024, with a starting price of 149,800 yuan (including vehicle hardware and 5 years of technical service fee). The Cainiao GT Pro features significant optimizations and improvements in various aspects, including product appearance, range, algorithm optimization, functional interaction, and technological ambiance, enhancing the competitiveness of the autonomous vehicle.

During the first session of the 2024 Ideal AI Talk, Ideal Auto CEO Li Xiang shared his views on the future role of artificial intelligence in the automotive industry and announced that the company will shift towards becoming an AI enterprise. Li believes that intelligence is the future of the automotive industry, and Ideal Auto will play an important role in this transformation. In terms of R&D investment, Li revealed that half of the 10 billion yuan budget allocated for R&D each year is dedicated to the field of artificial intelligence. He believes that the emergence of large models will bring fundamental changes to humanity, just as the internet brought about information revolution.

Recently, a smart ring called L-Ring2 has gained widespread attention on Kickstarter. This product not only boasts a stylish design but also integrates cutting-edge artificial intelligence technology, supporting real-time language translation, converting speech to text, and creating mind maps. The L-Ring2 supports controlling various devices through simple gestures. The gesture control and Air Mouse technology of this smart ring allow you to easily manage multiple devices. With its 6DoF system, it accurately tracks gestures, enabling users to...

Wenyuan Zhixing officially launched its new generation mass-produced Robotaxi — GXR on October 15. GXR draws on more than 1,800 days of public operation experience in the Robotaxi field, featuring L4 level public road driving capability, and can handle complex scenarios such as morning and evening rush hours, mixed traffic, and high-speed driving at night. The Wenyuan Zhixing GXR is equipped with comprehensive redundancy systems for architecture, F-O line control chassis, computing units, and braking, effectively avoiding single point failures. It also features the new HPC 2.0 high-performance computing platform.

In the field of artificial intelligence, a mysterious startup named World Labs is gaining widespread attention. Founded by renowned Stanford AI professor Fei-Fei Li, the company has reportedly completed two rounds of financing in just two months.

World Labs, a startup founded by Stanford University AI professor Fei-Fei Li, has completed two rounds of funding in two months, reaching a valuation of over $1 billion and becoming a 'unicorn' company. The latest funding round was led by NEA, with a significant increase in valuation compared to the first round in April. World Labs is dedicated to developing AI models that can accurately estimate the three-dimensional physical properties of real-world objects and environments, aiming for detailed digital replication without the need for large-scale data collection, and is focused on addressing the scarcity of 3D data. The company's business model has not been validated by the market.

Mistral AI has launched its flagship model Mistral Large2 today, which boasts 123 billion parameters and a 128k context window. It supports multiple languages, including French, German, and Spanish, as well as programming languages. Mistral Large2 is designed for single-node inference, suitable for long context applications, and performs exceptionally well, achieving an accuracy of 84.0% in the MMLU benchmark test. Additionally, Mistral Large2 has multi-language processing capabilities.