Эти странные новые разумы: Как ИИ научился говорить и что это значит - Кристофер Саммерфилд

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Bender, E. M. and Koller, A. (2020), ‘Climbing Towards NLU: On Meaning, Form, and Understanding in the Age of Data’, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 5185–98. Available at https://doi.org/10.18653/v1/2020.acl-main.463.

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Bottou, L. and Schölkopf, B. (2023), ‘Borges and AI’. arXiv. Available at http://arxiv.org/abs/2310.01425 (accessed 6 October 2023).

Bubeck, S. et al. (2023), ‘Sparks of Artificial General Intelligence: Early Experiments with GPT-4’. arXiv. Available at http://arxiv.org/abs/2303.12712 (accessed 18 February 2024).

Cerina, R. and Duch, R. (2023), ‘Artificially Intelligent Opinion Polling’. arXiv. Available at http://arxiv.org/abs/2309.06029 (accessed 20 October 2023).

Chater, N. and Christiansen, M. (2022), The Language Game: How Improvisation Created Language and Changed the World. London: Bantam Press.

Chen, C. and Shu, K. (2023), ‘Can LLM-Generated Misinformation be Detected?’ arXiv. Available at http://arxiv.org/abs/2309.13788 (accessed 6 October 2023).

Chomsky, Noam (1957), Syntactic Structures, The Hague: Mouton.

Christian, B. (2020), The Alignment Problem: Machine Learning and Human Values. New York: W. W. Norton & Co.

Cobb, M. (2021), The Idea of the Brain: A History. London: Profile.

Cristia, A. et al. (2019), ‘Child-Directed Speech is Infrequent in a Forager-Farmer Population: A Time Allocation Study’, Child Development, 90(3), pp. 759–73. Available at https://doi.org/10.1111/cdev.12974.

Dasgupta, I. et al. (2023), ‘Collaborating with Language Models for Embodied Reasoning’. arXiv. Available at http://arxiv.org/abs/2302.00763 (accessed 17 December 2023).

Davis, M. (2000), The Universal Computer: The Road from Leibniz to Turing. New York: W. W. Norton & Co.

Dawkins, R. (2016), The Blind Watchmaker: Why the Evidence of Evolution Reveals a Universe Without Design. London: Penguin.

De Graaf, M. M. A., Hindriks, F. A., and Hindriks, K. V. (2022), ‘Who Wants to Grant Robots Rights?’, Frontiers in Robotics and AI, 8, 781985. Available at https://doi.org/10.3389/frobt.2021.781985.

Dehaene, S. et al. (2022), ‘Symbols and Mental Programs: A Hypothesis About Human Singularity’, Trends in Cognitive Sciences, 26(9), pp. 751–66. Available at https://doi.org/10.1016/j.tics.2022.06.010.

DeLeo, M. and Guven, E. (2022), ‘Learning Chess with Language Models and Transformers’. arXiv. Available at https://doi.org/10.48550/arXiv.2209.11902.

Depounti, I., Saukko, P., and Natale, S. (2023), ‘Ideal Technologies, Ideal Women: AI and Gender Imaginaries in Redditors’ Discussions on the Replika Bot Girlfriend’, Media, Culture & Society, 45(4), pp. 720–36. Available at https://doi.org/10.1177/01634437221119021.

Downing, T. (2018), 1983: The World at the Brink. London: Little, Brown.

Elkins, K. and Chun, J. (2020), ‘Can GPT-3 Pass a Writer’s Turing Test?’, Journal of Cultural Analytics, 5(2). Available at https://doi.org/10.22148/001c.17212.

Ernst, G. W. and Newell, A. (1967), ‘Some Issues of Representation in a General Problem Solver’, Proceedings of the April 18–20, 1967, Spring Joint Computer Conference on - AFIPS ’67, Atlantic City: ACM Press, pp. 583–600. Available at https://doi.org/10.1145/1465482.1465579.

Feng, X. et al. (2023), ‘ChessGPT: Bridging Policy Learning and Language Modeling’. arXiv. Available at http://arxiv.org/abs/2306.09200 (accessed 1 December 2023).

Gao, L. et al. (2023), ‘PAL: Program-Aided Language Models’. arXiv. Available at http://arxiv.org/abs/2211.10435 (accessed 13 December 2023).

Gardner, R. A. and Gardner, B. T. (1969), ‘Teaching Sign Language to a Chimpanzee: A Standardized System of Gestures Provides a Means of Two-Way Communication with a Chimpanzee’, Science, 165, pp. 664–72. Available at https://doi.org/10.1126/science.165.3894.664.

Gehman, S. et al. (2020), ‘RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models’, in Findings of the Association for Computational Linguistics: EMNLP 2020, pp. 3356–69. Available at https://doi.org/10.18653/v1/2020.findings-emnlp.301.

Glaese, A. et al. (2022), ‘Improving Alignment of Dialogue Agents via Targeted Human Judgements’. arXiv. Available at http://arxiv.org/abs/2209.14375 (accessed 22 October 2023).

Gunkel, D. J. (2018), Robot Rights. Cambridge, MA: MIT Press.

Hackenburg, K. et al. (2023), ‘Comparing the Persuasiveness of Role-Playing Large Language Models and Human Experts on Polarized U.S. Political Issues’. Preprint. Open Science Framework. Available at https://doi.org/10.31219/osf.io/ey8db.

Harari, Y. N. (2015), Sapiens: A Brief History of Humankind. London: Vintage.

Harris, R. A. (2021), The Linguistics Wars. New York: Oxford University Press.

Hartmann, J., Schwenzow, J., and Witte, M. (2023), ‘The Political Ideology of Conversational AI: Converging Evidence on ChatGPT’s Pro-Environmental, Left-Libertarian Orientation’. arXiv. Available at http://arxiv.org/abs/2301.01768 (accessed 20 October 2023).

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Hendrycks, D. (2023), ‘Natural Selection Favors AIs over Humans’. arXiv. Available at http://arxiv.org/abs/2303.16200 (accessed 16 December 2023).

Hendrycks, D., Mazeika, M., and Woodside, T. (2023), ‘An Overview of Catastrophic AI Risks’. arXiv. Available at http://arxiv.org/abs/2306.12001 (accessed 17 December 2023).

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Jiang, G. et al. (2023), ‘Evaluating and Inducing Personality in Pre-trained Language Models’. arXiv. Available at http://arxiv.org/abs/2206.07550 (accessed 24 October 2023).

Johnson, M. et al. (2017), ‘Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation’. arXiv. Available at http://arxiv.org/abs/1611.04558 (accessed 18 May 2023).

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Karinshak, E. et al. (2023), ‘Working with AI to Persuade: Examining a Large Language Model’s Ability to Generate