Summary of Agents Are Not Enough, by Chirag Shah and Ryen W. White
Agents Are Not Enough
by Chirag Shah, Ryen W. White
First submitted to arxiv on: 19 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Human-Computer Interaction (cs.HC); Multiagent Systems (cs.MA)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper explores the concept of autonomous AI agents, which have been around for a while. By examining past attempts at creating such agents, researchers can identify what worked and what didn’t, and learn from those experiences. The current focus on agents is different from previous efforts, and generative AI alone is not enough to make new generations of agents successful. Instead, the authors propose an ecosystem that includes agents, Sims (representing user preferences), and Assistants (directly interacting with users). This system would allow for more effective and sustainable agent-based applications. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Artificial Intelligence (AI) is getting smarter! Autonomous AI agents are making things easier for us. But did you know that this isn’t the first time people have tried to create these super-smart programs? By looking back at what worked and didn’t work before, scientists can learn how to make new agents better. They’re saying that just using special AI tools alone isn’t enough – they need other things like Sims (which understand our preferences) and Assistants (that help us get things done). This will make our lives even easier with AI! |
