Core Insights - Major AI companies like Anthropic and OpenAI are planning to invest $1 billion annually to train AI to work like humans, utilizing reinforcement learning environments and expert knowledge [1][4][21] - There are concerns that AI could eliminate a significant number of entry-level white-collar jobs within the next 1-5 years, potentially raising the unemployment rate in the U.S. to 10-20% [1][2] Investment and Development - Anthropic and OpenAI are allocating $1 billion each year for AI training, with OpenAI predicting this investment will rise to $8 billion by 2030 [4][10] - The funding aims to overcome current limitations in traditional training methods and explore new monetization avenues, such as workplace software and AI agents [4][10] AI Training Methodology - AI is being trained to handle complex tasks in various applications, including Salesforce and Zendesk, with a focus on real-world task execution [3][5] - Turing has developed over 1,000 reinforcement learning environments to simulate real-world applications for AI training [12][13] Expert Involvement - The trend is shifting towards hiring experienced professionals from various fields to provide real-world task examples for AI learning [15][20] - The cost of hiring experts is increasing, with some contracts exceeding $120 per hour, and projections suggest rates could rise to $150-$250 per hour in the next 18 months [11][10] Future Implications - As AI learns from expert knowledge and workplace applications, it is expected to gradually take over human jobs across various industries [24][21] - The integration of AI into the economy could lead to a transformation where the entire economic system operates as a reinforcement learning machine [21][1]
AI正在偷走白领工作,OpenAI狂砸10亿教AI上班,你的完美继任者即将上岗
3 6 Ke·2025-09-25 09:32