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During a recent earnings call, Alphabet CEO Sundar Pichai revealed that Waymo may in the future sell self-driving cars for personal ownership. This news sparked considerable interest. When questioned about Waymo's long-term business model, Pichai stated that in addition to expansion with partners like Moove and Uber, Waymo is considering future options for personal ownership. Image Note: Image generated by AI.

Shanghai is actively promoting innovation and upgrading within its automotive industry, focusing on the application of advanced technologies including high-performance computing chips and intelligent driving large models. This initiative aims to enhance the competitiveness and technological advancement of the city's automotive sector.

Ele.me has officially launched Xiaoe, China's first AI-powered intelligent agent for delivery riders, leveraging AI technology to restructure the rider's work environment and achieve improvements in both operational efficiency and safety. This feature has initially launched in four cities: Wuxi, Shenyang, Foshan, and Suzhou, covering delivery riders using the Fengniao Zhonbao app.

At the recent Shanghai Auto Show, Zhuoyu Technology (hereinafter referred to as "Zhuoyu") announced its successful integration of Alibaba's Tongyi large model, marking another significant advancement in the field of intelligent driving. As an intelligent driving solutions provider and service provider, Zhuoyu leverages Alibaba Cloud's powerful computing capabilities to build an end-to-end intelligent driving world model, aiming to enhance the intelligence level of vehicles. In recent years, intelligent driving technology has rapidly developed, with major automakers significantly increasing their investment in this area. Zhuoyu Technology's collaboration with Alibaba's Tongyi large model has...

On April 24th, Kunlun Wanwei announced the official open-sourcing of its multimodal reasoning model, Skywork-R1V2.0 (hereinafter referred to as R1V2.0). This upgraded version demonstrates significant improvements in both visual and text reasoning capabilities, particularly excelling in deep reasoning for challenging science problems in the College Entrance Examination and general task scenarios. It is considered the currently most balanced open-source multimodal model, equally adept at visual and text reasoning.

Relyance AI announces its new solution—the Data Journeys platform—designed to tackle a key challenge in enterprise AI implementation: understanding data flow within complex systems. By providing unprecedented data flow visualization, the platform helps businesses achieve compliance in an increasingly stringent regulatory environment. Image Note: Image generated by AI, image licensing provided by Midjourney. Relyance AI's Chief...

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.

Traini, an AI-powered pet language translation app, has quickly gained popularity in the English mobile market since its launch. Developed in collaboration with animal behaviorists, Traini utilizes photo, video, and sound analysis to bridge the communication gap between humans and dogs, offering pet owners a revolutionary way to interact with their beloved companions.

With advancements in AI technology, AI-powered face-swapping techniques are increasingly used across various sectors, leading to a rise in malicious applications for scams. To address this growing challenge, Lenovo has introduced a new technology: a Deepfake detection tool. Unveiled in Lenovo's recent promotional video, "Protecting AI with AI," this detector boasts over 96% accuracy. Powered by DeepSe

The Kimi team recently released a technical report and open-sourced the preview version of Kimina-Prover, including 1.5B and 7B parameter distilled models, the Kimina-Autoformalizer-7B model for data generation, and a revised miniF2F benchmark dataset. Kimina-Prover, jointly developed by the Numina and Kimi teams, is a mathematical theorem proving model that excels in the field of formal theorem proving.

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.

Xiaopeng Motors chairman He Xiaopeng recently announced that the company's fully self-developed Turing AI chip will be mass-produced and launched in the second quarter of this year. This progress comes as the automotive industry accelerates the application of end-to-end intelligent driving technology and the scale of AI large models continues to expand. Xiaopeng Motors is building its strongest AI brain by simultaneously developing a world base model with 35 times the parameters of mainstream VLA models, and a self-developed chip with computing power equivalent to three Nvidia Orin Xs, which is about to be mass-produced.

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.

Tesla CEO Elon Musk made a major announcement on X, revealing Tesla's imminent launch of a universal, pure AI Full Self-Driving (FSD) solution. He emphasized that this is the first time full self-driving will soon have a universal, pure AI solution. The technology will rely entirely on cameras, Tesla's in-house AI chips, and proprietary AI software, eliminating the need for lidar and other sensors. This breakthrough marks a significant advancement in Tesla's autonomous driving capabilities. Musk's statement continues Tesla's consistent pure vision approach.

Toronto-based startup Xaba, focused on developing 'synthetic brains' for industrial robots via a no-code approach, announced a $6 million seed funding round led by Hitachi Ventures. The funding will accelerate deployment of its AI-powered robots and cognitive industrial control systems. Image note: Image generated by AI, licensed from MidjourneyX.

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.