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Xiaomi Car announced on July 29 that it will push the 10 million Clips version of the end-to-end assisted driving update for the SU7 Pro/Max/Ultra models. The update focuses on optimizing the navigation assistance function in high-speed scenarios, enhancing operational stability and driving comfort. The official particularly emphasized that this function still belongs to the category of assisted driving, reminding users to pay attention to road conditions at all times and be ready to take over the vehicle to ensure driving safety.

AI video firms Luma and Runway expand into robotics and autonomous vehicles, leveraging 3D world modeling and game content creation tech, signaling cross-industry AI applications and revenue diversification.....

Waymo announced that it will launch an autonomous taxi service in Dallas next year, marking another key city deployment following Los Angeles and San Francisco. The company has formed a strategic partnership with Avis Budget Group, which will handle the charging and maintenance of the all-electric Jaguar I-Pace fleet. Waymo has completed preliminary testing in Dallas and plans to gradually expand its fleet to hundreds of vehicles. Currently, Waymo is operating commercially in five U.S. cities and plans to expand to Washington D.C. and Miami next year. This collaboration

At the 2025 World Artificial Intelligence Conference, Belding Smart demonstrated an innovative model of one AI foundation + two industrial platforms. Its Phoenix Large Platform showcased AI application achievements from cultural heritage digitization to rural governance, reflecting the technological transformation capability of state-owned enterprises. The company provides customized services through a city-level AI foundation and empowers industries throughout the entire lifecycle. The Advances AI Computing Platform optimizes computing power scheduling, while the Honghu Trustworthy Data Service unlocks the value of data. Successful cases in the government and healthcare sectors have provided exemplary models for the practical implementation of AI.

Shanghai issued a new batch of intelligent connected vehicle demonstration operation licenses at the 2025 World Artificial Intelligence Conference. Enterprises such as Luobo Kuaipao were granted approval in the first batch, promoting the commercialization of autonomous driving. Licensed companies can conduct autonomous driving services in key functional areas of Pudong New Area, including Jinqiao, Huamu, and Expo, covering core scenarios such as business, residential, and exhibitions. Luobo Kuaipao was not only included in the China Artificial Intelligence Industry Innovation Achievements Exhibition, but also provided L4-level autonomous driving shuttle services for the conference, demonstrating its technical strength and industry influence.

Tesla enhances safety with AI-powered autopilot, reporting 9.5x safer than manual driving in Q2 2025. Aims for zero accidents with standard AI4 hardware, responding to recent autonomous driving tests.....

Kuaishou opensources the KAT-V1 autonomous thinking large model, which includes two versions: 40B and 200B. The 40B version performance is close to DeepSeek-R1, and the 200B version outperforms several flagship models. The model innovatively adopts a mixed training paradigm of short and long-term thinking and the Step-SRPO reinforcement learning algorithm, which can automatically adjust the thinking mode based on the complexity of the question, solving the problem of overthinking. Based on Qwen2.5-32B, it achieves excellent performance in fields such as science and code through an heterogeneous distillation framework and pre-training with 10 million examples.

ByteDance launched the Trae IDE 2.0 version, which realizes a breakthrough in AI autonomous programming with its revolutionary SOLO mode. This mode integrates tools such as the editor and terminal, enabling the completion of the entire development process from concept to deployment without continuous human intervention. Tests show that SOLO can autonomously develop and deploy applications, such as a WeChat Moments analysis tool. Compared to traditional AI coding tools, Trae 2.0 provides a more complete end-to-end solution, surpassing similar competitors. Currently, Pro users can experience this feature, which requires an invitation code to unlock. This upgrade marks a significant step forward.

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.

Recently, NVIDIA and CoreWeave announced that NVIDIA's latest artificial intelligence graphics processor, Blackwell Ultra, has been commercially deployed on CoreWeave. This news undoubtedly injects new vitality into AI cloud computing services. Dell also stated that CoreWeave has received customized devices based on the NVIDIA GB300NVL72AI system, marking CoreWeave as the first to install a Blackwe

In the new energy vehicle market, Xiaopeng Automotive has once again drawn attention. On July 3rd, the Xiaopeng G7 Ultra was officially launched, becoming the first intelligent vehicle equipped with the local-end "VLA+VLM" large model. This innovative technology marks an important step forward for Xiaopeng in the field of intelligent driving. The Xiaopeng G7 Ultra is equipped with the VLA (active thinking and rapid decision-making capability) large model, making the driving experience more intelligent. In daily driving, the G7 Ultra can flexibly handle various complex driving scenarios, such as in traffic.

Tesla once again leads the automotive industry's technological revolution! Recently, Tesla released the world's first artificial intelligence (AI) full self-driving (FSD) delivery video from factory to customer's home, showcasing the latest breakthroughs in its autonomous driving technology. This 17-mile journey, lasting about 30 minutes, spans parking lots, highways, and city roads, ultimately delivering the vehicle accurately to the new owner's home. Full autonomous driving, a technological milestone. The video released by Tesla demonstrates the impressive performance of its FSD system in real-world scenarios. Starting from the factory, the car

A few days after launching limited autonomous taxi service in Austin, Tesla once again demonstrated the latest progress in its autonomous driving software. A Model Y SUV completed a 15-mile journey from the Tesla factory to a new owner's apartment building without any human intervention. CEO Elon Musk called it "the first customer car autonomous delivery." It is reported that this Model Y was equipped with the same software as the autonomous taxi in Austin, but was downgraded to the commercially available Full Self-Driving (supervised) version at the time of delivery.

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.