From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI Systems
By
Yongheng Zhang ,
Summary
This paper discusses the transformation of Large Language Models (LLMs) from simple conversational chatbots into persistent, autonomous AI systems that function as "Digital Colleagues." The authors conceptualize this paradigm shift as moving from providing conversational answers to performing sustained work, organized along two dimensions: advancing from "fast thinking" (next-token prediction) toward more sophisticated cognitive capabilities including reasoning, action, memory, and self-improvement.
Source
bskyFrom Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI Systemshuggingface.coKey quotes
· 3 pulledLarge Language Models (LLMs) are undergoing a fundamental transformation from conversational generators into integrated AI systems capable of reasoning, action, memory, and self-improvement.
We conceptualize this transition as a shift from Chatbot to Digital Colleague: from conversational answers to persistent work.
LLMs are advancing from Chatbot-era 'fast thinking' systems driven by next-token prediction toward Thinki
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