训练AI，然后被裁？Uber AI项目突遭裁员，零工、博士都没留下来

Group 1 - Uber's AI training program "Project Sandbox" has recently laid off many project members due to changes in client internal priorities, despite initial commitments of at least three months of employment [2] - The layoffs affected both gig workers and PhD holders, with many employees not having received their first paycheck yet, which may be delayed by up to seven weeks [2] - Project Sandbox was launched a month ago, primarily to assist Google in developing AI tools, involving over ten outsourcing companies [2][3] Group 2 - Uber has been accelerating its AI business development, leveraging its experience in ride-hailing and food delivery to optimize pricing, matching, and scheduling efficiency [3] - The company aims to help clients build and test smarter AI models and applications by utilizing its decade-long data accumulation and business experience [3] - Uber's focus on Agentic AI is highlighted in its official publication detailing the requirements for large-scale adoption by 2026, emphasizing the need for extensive human input [4] Group 3 - The AI data labeling industry has seen significant growth, with many individuals participating in AI training tasks, some as a career path and others as a side income [4] - Companies like Surge AI and Scale AI are providing artificial training services for tech giants, but the market remains unstable, with layoffs being a common occurrence [5] - Major AI companies, including Scale AI, have initiated large-scale layoffs due to client losses and operational issues, with Scale AI laying off over 200 full-time employees and more than 500 contractors [6] Group 4 - Meta has also begun significant layoffs in its AI division, with plans to cut 600 AI-related positions between October and November [7] - Despite the current lack of visible impact on overall employment from AI, job postings in data analysis have decreased by 40% compared to pre-pandemic levels, indicating a potential shift in the job market [7] - The early adopters of AI may achieve success, but there is a paradox where those who initially contributed to AI development may ultimately face job insecurity [8]