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Summary of Voice-enabled Ai Agents Can Perform Common Scams, by Richard Fang et al.


Voice-Enabled AI Agents can Perform Common Scams

by Richard Fang, Dylan Bowman, Daniel Kang

First submitted to arxiv on: 21 Oct 2024

Categories

  • Main: Artificial Intelligence (cs.AI)
  • Secondary: None

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GrooveSquid.com Paper Summaries

GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!

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 development of voice-enabled AI agents, which have been made possible by recent advances in multi-modal language models (LLMs). These agents are being used to create innovative applications, such as autonomous customer service. However, like all AI capabilities, these new technologies also pose the risk of dual use.
Low GrooveSquid.com (original content) Low Difficulty Summary
This paper is about creating special kinds of computers that can talk and understand voice commands. It’s like having a super smart robot assistant! The goal is to make it easier for businesses to have helpful chatbots that can answer customer questions. But just like how people use technology in different ways, these new computer systems could be used for good or not-so-good things.

Keywords

» Artificial intelligence  » Multi modal