California Governor Vetoes Bill Requiring Human Drivers for Autonomous Trucks


Autonomous truck company TuSimple has announced its completion of a transformation, officially rebranding as CreateAI and shifting its focus toward the generative AI field, including animation and game development. This rebranding signifies TuSimple's departure from the autonomous trucking business and its entry into a new arena. TuSimple's transformation comes at a time of ongoing turmoil for the company. Previously, the company exited the stock market in January 2024 and closed its U.S. autonomous trucking operations, transferring the remaining assets to China to fund the new business.
Autonomous truck technology company Bot Auto has announced the completion of its Pre-A funding round, raising $20 million. This significant investment will accelerate Bot Auto's development of next-generation autonomous truck technology, focusing on safety and operational efficiency. Bot Auto is based in Houston, Texas, and is led by CEO and Founder Dr. Hao Xiaodi. The company comprises a team of experienced executives from the autonomous vehicle sector and top engineering talent dedicated to development.
IBM's report provides sufficient evidence that artificial intelligence, automation, and threat intelligence can address data breaches throughout the lifecycle, reduce costs, and provide stronger evidence. The research found that integrating artificial intelligence and automation into security operations teams can reduce the lifecycle of data breaches by 33% and costs by 33.6%. However, currently, only 28% of enterprises widely apply artificial intelligence and automation. Many enterprises rely on legacy systems, which are easily bypassed by attackers. The significance of this article lies in emphasizing the effectiveness of artificial intelligence and automation in improving cybersecurity and calling on enterprises to widely adopt these technologies to protect data security.
The robotics research team at Google DeepMind recently released a robotics project called RT-2. This project took 7 months to develop and uses a large model for training. RT-2 has capabilities such as symbol understanding, reasoning, and human recognition, and can think and complete tasks based on human instructions. By combining the large model with the robot's operational capabilities, RT-2 can accomplish tasks that involve logical leaps, such as from 'extinct animals' to 'plastic dinosaurs'. The results of this project performed well in various sub - category tests, with performance up to three times that of the previous generation of robot models. This research result demonstrates the potential of large models in robotics research and is expected to drive the development of robots in the future.
Meta Intelligence OS is a startup founded by Bloomberg. It has developed a series of large models based on the open-source model RWKV and aims to become the Android in the era of large models. The RWKV model has superior performance and low cost in inference tasks, thus attracting customers from industries such as finance, law firms, and smart hardware. The business model of Meta Intelligence OS is model customization based on private data and internal AI Agent development. The company hopes to solve the problems of API call latency and data security by deploying large models on terminal devices. Currently, RWKV versions are available on Windows, Mac, and Linux computers, and Android and iOS versions are also in development. Meta Intelligence OS is raising funds and collaborating with chip companies and computing power platforms to create benchmark customers. Luo Xuan said that the decisive battlefield for large models is on hardware, and both terminal devices and the cloud require dedicated chips.