Agents before AI was a thing
An 8-year-old Reddit post envisioned AI agents that can now execute complex tasks autonomously.
A Reddit post from 2015 titled 'Agents before AI was a thing' has gone viral for its prescient vision of autonomous AI assistants. Posted by user kamen562, the concept described 'Agents' as software entities that could perform complex, multi-step tasks—like booking a vacation or managing investments—by interacting with various applications and services on a user's behalf. The author detailed a system where these agents would have specific goals, access to tools, and the ability to make decisions, a blueprint that closely mirrors the 'AI agents' being developed today by companies like OpenAI, Google, and Anthropic.
The post's resurgence underscores how foundational ideas from tech communities often precede major industry shifts. While the 2015 proposal lacked the underlying large language model (LLM) technology that makes modern agents possible, its core architecture is strikingly similar. Today's AI agents, powered by models like GPT-4o and Claude 3, are finally realizing this vision by using techniques like function calling and tool use to execute actions in real software environments. The discussion highlights the iterative nature of innovation, where a clear conceptual framework had to wait nearly a decade for the computational and algorithmic breakthroughs to bring it to life.
- The 2015 post described autonomous 'Agents' that could execute multi-step tasks like travel planning, predicting today's AI agent paradigm.
- The concept required agents to have goals, tool access, and decision-making logic, mirroring modern LLM-based agent architectures.
- Its viral revival shows how early community ideas become reality once enabling technologies like large language models mature.
Why It Matters
It demonstrates that the core concepts for transformative AI tools are often community-sourced years before the tech exists to build them.