Borges and AI

• URL: http://arxiv.org/abs/2310.01425v2
• Date: Wed, 4 Oct 2023 18:10:30 GMT
• Title: Borges and AI
• Authors: L\'eon Bottou and Bernhard Sch\"olkopf
• Abstract summary: Proponents and opponents grasp AI through the imagery popularised by science fiction. Will the machine become sentient and rebel against its creators? This exercise leads to a new perspective that illuminates the relation between language modelling and artificial intelligence.
• Score: 14.879252696060302
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Many believe that Large Language Models (LLMs) open the era of Artificial Intelligence (AI). Some see opportunities while others see dangers. Yet both proponents and opponents grasp AI through the imagery popularised by science fiction. Will the machine become sentient and rebel against its creators? Will we experience a paperclip apocalypse? Before answering such questions, we should first ask whether this mental imagery provides a good description of the phenomenon at hand. Understanding weather patterns through the moods of the gods only goes so far. The present paper instead advocates understanding LLMs and their connection to AI through the imagery of Jorge Luis Borges, a master of 20th century literature, forerunner of magical realism, and precursor to postmodern literature. This exercise leads to a new perspective that illuminates the relation between language modelling and artificial intelligence.

Related papers

• Five questions and answers about artificial intelligence [0.0]
  Rapid advances in Artificial Intelligence (AI) are generating much controversy in society. This paper seeks to contribute to the dissemination of knowledge about AI.
  arXiv  Detail & Related papers  (2024-09-24T09:19:55Z)
• On the consistent reasoning paradox of intelligence and optimal trust in AI: The power of 'I don't know' [79.69412622010249]
  Consistent reasoning, which lies at the core of human intelligence, is the ability to handle tasks that are equivalent. CRP asserts that consistent reasoning implies fallibility -- in particular, human-like intelligence in AI necessarily comes with human-like fallibility.
  arXiv  Detail & Related papers  (2024-08-05T10:06:53Z)
• Making AI Intelligible: Philosophical Foundations [0.0]
  'Making AI Intelligible' shows that philosophical work on the metaphysics of meaning can help answer these questions. Author: The questions addressed in the book are not only theoretically interesting, but the answers have pressing practical implications.
  arXiv  Detail & Related papers  (2024-06-12T12:25:04Z)
• The Generative AI Paradox: "What It Can Create, It May Not Understand" [81.89252713236746]
  Recent wave of generative AI has sparked excitement and concern over potentially superhuman levels of artificial intelligence. At the same time, models still show basic errors in understanding that would not be expected even in non-expert humans. This presents us with an apparent paradox: how do we reconcile seemingly superhuman capabilities with the persistence of errors that few humans would make?
  arXiv  Detail & Related papers  (2023-10-31T18:07:07Z)
• AI for Mathematics: A Cognitive Science Perspective [86.02346372284292]
  Mathematics is one of the most powerful conceptual systems developed and used by the human species. Rapid progress in AI, particularly propelled by advances in large language models (LLMs), has sparked renewed, widespread interest in building such systems.
  arXiv  Detail & Related papers  (2023-10-19T02:00:31Z)
• Beyond Reality: The Pivotal Role of Generative AI in the Metaverse [98.1561456565877]
  This paper offers a comprehensive exploration of how generative AI technologies are shaping the Metaverse. We delve into the applications of text generation models like ChatGPT and GPT-3, which are enhancing conversational interfaces with AI-generated characters. We also examine the potential of 3D model generation technologies like Point-E and Lumirithmic in creating realistic virtual objects.
  arXiv  Detail & Related papers  (2023-07-28T05:44:20Z)
• Understanding Natural Language Understanding Systems. A Critical Analysis [91.81211519327161]
  The development of machines that guillemotlefttalk like usguillemotright, also known as Natural Language Understanding (NLU) systems, is the Holy Grail of Artificial Intelligence (AI) But never has the trust that we can build guillemotlefttalking machinesguillemotright been stronger than the one engendered by the last generation of NLU systems. Are we at the dawn of a new era, in which the Grail is finally closer to us?
  arXiv  Detail & Related papers  (2023-03-01T08:32:55Z)
• Challenges of Artificial Intelligence -- From Machine Learning and Computer Vision to Emotional Intelligence [0.0]
  We believe that AI is a helper, not a ruler of humans. Computer vision has been central to the development of AI. Emotions are central to human intelligence, but little use has been made in AI.
  arXiv  Detail & Related papers  (2022-01-05T06:00:22Z)
• Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things [98.10037444792444]
  We show how AI can empower the IoT to make it faster, smarter, greener, and safer. First, we present progress in AI research for IoT from four perspectives: perceiving, learning, reasoning, and behaving. Finally, we summarize some promising applications of AIoT that are likely to profoundly reshape our world.
  arXiv  Detail & Related papers  (2020-11-17T13:14:28Z)
• A clarification of misconceptions, myths and desired status of artificial intelligence [0.0]
  We present a perspective on the desired and current status of AI in relation to machine learning and statistics. Our discussion is intended to uncurtain the veil of vagueness surrounding AI to see its true countenance.
  arXiv  Detail & Related papers  (2020-08-03T17:22:53Z)
• Artificial Stupidity [0.0]
  Debate about AI is dominated by Frankenstein Syndrome, the fear that AI will become superhuman and escape human control. This article discusses the roots of Frankenstein Syndrome in Mary Shelley's famous novel of 1818. It shows that modern intelligent systems can be seen to suffer from'stupidity of judgement'
  arXiv  Detail & Related papers  (2020-07-02T00:37:23Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.