AI won't become a real coworker until it stops answering and starts finishing tasks
Quick Answer
A survey by Tencent and Chinese universities highlights that AI must evolve from answering questions to completing tasks in persistent work environments to be considered reliable coworkers.
Quick Take
A survey by Tencent and Chinese universities highlights that AI must evolve from answering questions to completing tasks in persistent work environments to be considered reliable coworkers. The research emphasizes the importance of integrating reusable skills with consistent workspaces for AI to function effectively as digital colleagues.
Key Points
- AI systems need to complete entire tasks, not just provide answers.
- Persistent workspaces are crucial for AI to function as digital colleagues.
- The study emphasizes the integration of reusable skills in AI development.
- Current AI capabilities are insufficient for reliable coworking roles.
Article Excerpt
From source RSS / original summaryA survey paper by Tencent and several Chinese universities traces the path from chatbot to "digital colleague. " AI systems won't become reliable coworkers, the researchers argue, until they finish entire tasks in persistent work environments instead of just generating answers. The key lies in combining persistent workspaces with reusable skills. The article AI won't become a real coworker until it stops answering and starts finishing tasks appeared first on The Decoder.
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from The Decoder
See more →
An AI model programmed nonstop for 19 days on a single MirrorCode task that cost $2,600 to run
Epoch AI's MirrorCode benchmark reveals Claude Opus 4.7 as the leader with a 56% solve rate, reconstructing a 16,000-line toolkit in 14 hours. Despite this, all models tested struggle with the most complex tasks, highlighting limitations in current AI capabilities. The single task consumed $2,600 over 19 days, raising questions about cost-effectiveness in AI development.
