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He Xiaopeng revealed that in the first half of this year, XPeng Motors aims to conduct a comprehensive comparison with the world's best high-level intelligent driving capabilities, including functionality, performance, safety, and coverage, striving to achieve leading positions in both China and globally. He emphasized that XPeng and Tesla are the world's first AI technology companies to apply large-model end-to-end technology to intelligent driving and achieve mass production, and are also the only two companies capable of striving to achieve intelligent driving that "works well globally" with a single software solution, without relying on high-definition maps and lidar.

Tesla's China website announced that its FSD (Full Self-Driving) package has been officially renamed "FSD Intelligent Assisted Driving" in the Chinese market, along with an update to its capabilities description. Despite the name change, the price remains at RMB 64,000. Before the renaming, the FSD feature was directly translated as "Full Self-Driving Capability".

Today, Tesla held the 'WE, ROBOT' launch event, where Musk made a stunning appearance driving a two-door coupe, instantly capturing everyone’s attention with its iconic gullwing door design. During the event, Musk revealed that the showcased Tesla Robotaxi is named Cybercab, which innovatively removes the steering wheel and pedals. The anticipated price is set to be user-friendly, keeping it under $30,000, and production is planned to begin in 2026.

Tesla's Q2 2024 financial report indicates that the company's revenue was $25.5 billion, a 2% year-over-year increase. However, net profit saw a significant 45% decline to $1.494 billion. Net profit attributable to common shareholders was $1.478 billion, with diluted earnings per share of $0.42, a 46% decrease year-over-year. Adjusted earnings per share were $0.52, a 43% decrease, falling short of analyst expectations.Revenue from the automotive business was $19.878 billion, a 7% decrease year-o

Russian tech giant Yandex has recently open-sourced its proprietary YaFSDP tool to the global artificial intelligence (AI) community. This is currently the most efficient method for optimizing the training of large language models (LLMs) in the industry. Compared to the widely used FSDP technology, YaFSDP can enhance LLM training speed by up to 26%, potentially saving significant GPU resources for AI developers and enterprises.