mlsanityData to 7 Oct 2026

Killer Apps: Low-Speed, Large-Scale AI Weapons

arXiv 2402.01663 ↗First posted 14 Jan 2024cs.CY cs.CR cs.LGcited by 1

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Abstract (arXiv)

The accelerating advancements in Artificial Intelligence (AI) and Machine Learning (ML), highlighted by the development of cutting-edge Generative Pre-trained Transformer (GPT) models by organizations such as OpenAI, Meta, and Anthropic, present new challenges and opportunities in warfare and security. Much of the current focus is on AI's integration within weapons systems and its role in rapid decision-making in kinetic conflict. However, an equally important but often overlooked aspect is the potential of AI-based psychological manipulation at internet scales within the information domain. These capabilities could pose significant threats to individuals, organizations, and societies globally. This paper explores the concept of AI weapons, their deployment, detection, and potential countermeasures.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 7 of its 47 references that are in the map. First posted on arXiv 14 Jan 2024.

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7 of 47 references.

References · 7

  1. 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,072
  2. 2023HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Facecited by 1,173
  3. 2023An Overview of Catastrophic AI Riskscited by 214
  4. 2023Large Language Models for Software Engineering: Survey and Open Problemscited by 178
  5. 2020The Radicalization Risks of GPT-3 and Advanced Neural Language Modelscited by 76
  6. 2023Trapping LLM Hallucinations Using Tagged Context Promptscited by 34
  7. 2023Exploring the Dark Side of AI: Advanced Phishing Attack Design and Deployment Using ChatGPTcited by 6

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