Chinese tech workers are starting to train their AI doubles–and pushing back
📰 MIT Technology Review
Chinese tech workers are training AI doubles, prompting soul-searching about job automation and AI ethics, and you'll learn how to approach similar challenges in your own work
Action Steps
- Explore the Colleague Skill GitHub project to understand how AI agents can replicate human workflows
- Use tools like OpenClaw or Claude Code to automate specific tasks and processes in your own work
- Document your workflows and consider the potential consequences of automating your job, including the need for upskilling or reskilling
- Discuss the ethics of AI automation with your team and consider the potential impact on job security and industry trends
- Investigate ways to augment your work with AI, rather than replacing it, to stay relevant in an increasingly automated job market
Who Needs to Know This
Tech workers, engineers, and AI researchers can benefit from understanding the implications of training AI doubles and the importance of documenting workflows for automation, as it may impact their job security and require them to adapt to new technologies
Key Insight
💡 Training AI doubles can automate workflows, but it also raises important questions about job security, AI ethics, and the need for workers to adapt to new technologies
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🚀 Chinese tech workers are training AI doubles, sparking concerns about job automation and AI ethics. What does this mean for your job? 🤔
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