Important News - The U.S. unemployment rate for May recorded at 4.2%, meeting market expectations [1] - The seasonally adjusted non-farm payrolls in the U.S. for May increased by 139,000, exceeding the forecast of 130,000, with the previous value revised from 177,000 to 147,000 [1] - Trump expressed no interest in talking to Musk, while Musk may communicate with Trump's aides to ease tensions [1] Company News - Walmart (WMT.N) is enhancing its drone delivery services to accelerate order fulfillment [2] - Goldman Sachs (GS.N) has lowered Tesla's (TSLA.O) delivery forecasts significantly, reducing its earnings expectations and target price to $285 [3] - Uber (UBER.N) is considering using stablecoins to reduce cross-border currency costs and is currently in the research phase [4] - Broadcom (AVGO.O) anticipates that the growth momentum of AI chip sales will continue into the fiscal year 2026 [4] - Alphabet (GOOG.O) has launched a preview of the Gemini 2.5 Pro upgrade, which features improved coding capabilities [4] - MicroStrategy (MSTR.O) plans to raise approximately $1 billion through a preferred stock issuance to increase its Bitcoin holdings [4] - Miniso (MNSO.N) is in the preliminary stages of spinning off its TOPTOY brand operations for a potential public listing [4] - Musk stated that Tesla's Dojo AI training computer is making progress and is expected to launch Dojo 2 later this year [4] - Amazon (AMZN.O) plans to invest over $5 billion in Taiwan to support development in the new region [4] - The West Pilbara iron ore project, jointly developed by Baowu and Rio Tinto (RIO.N), has been fully constructed and is designed to have an annual production capacity of 25 million tons [4]

Group 1 - The core viewpoint of the article highlights the progress of Tesla's Dojo AI training computer and the upcoming launch of the next-generation AI chip, Dojo 2, later this year. It emphasizes that significant technological advancements require multiple iterations, with Dojo 3 expected to be even better than its predecessor [1] - Tesla AI's latest Dojo technology report indicates that the Dojo supercomputer is facing issues related to manufacturing defects and aging, which lead to silent data corruption (SDC). Unlike traditional system failures, these defects do not manifest immediately but compromise data integrity during training [1] - A defective node can result in erroneous outcomes from weeks of AI model training or significantly slow down convergence speed. More critically, these issues are nearly undetectable after model training is completed, potentially leading companies to deploy AI systems trained on corrupted data without their knowledge [1] Group 2 - The Dojo supercomputer, designed by Tesla, serves as a training ground for artificial intelligence, particularly for Full Self-Driving (FSD) applications. The name "Dojo" pays homage to martial arts training halls [1] - The supercomputer consists of thousands of small computers known as nodes, each equipped with its own CPU (Central Processing Unit) for overall management and GPU (Graphics Processing Unit) for handling complex tasks, such as dividing tasks into multiple parts for simultaneous processing [1]