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Large language models (LLMs) are possessed of numerous beneficial capabilities, yet their potential inclination harbors unpredictable risks that may materialize in the future.
The emergence of deepfake technology: A review
Mika Westerlund · 2019
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Openai api, 2020
Greg Brockman, Mira Murati, Peter Welinder, and OpenAI · 2020
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Amanda Askell, Yuntao Bai, Anna Chen, Dawn Drain, Deep Ganguli, Tom Henighan, Andy Jones, Nicholas Joseph, Ben Mann, Nova DasSarma, Nelson Elhage, Zac Hatfield-Dodds, Danny Hernandez, Jackson Kernion, Kamal Ndousse, Catherine Olsson, Dario Amodei, Tom Brown, Jack Clark, Sam McCandlish, Chris Olah, and Jared Kaplan · 2021
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Is Power-Seeking AI an Existential Risk?, June 2022
Joseph Carlsmith · 2022
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Is power-seeking ai an existential risk?
Joseph Carlsmith · 2022
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Human-level play in the game of diplomacy by combining language models with strategic reasoning
Anton Bakhtin, Noam Brown, Emily Dinan, Gabriele Farina, Colin Flaherty, Daniel Fried, Andrew Goff, Jonathan Gray, Hengyuan Hu, Athul Paul Jacob, Mojtaba Komeili, Karthik Konath, Minae Kwon, Adam Lerer, Mike Lewis, Alexander H. Miller, Sandra Mitts, Adithya Renduchintala, Stephen Roller, Dirk Rowe, Weiyan Shi, Joe Spisak, Alexander Wei, David J. Wu, Hugh Zhang, and Markus Zijlstra · 2022
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Micah Carroll, Alan Chan, Henry Ashton, and David Krueger · 2023
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Jonas B. Sandbrink · 2023
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Shuyu Jiang, Xingshu Chen, and Rui Tang · 2023
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Power-seeking can be probable and predictive for trained agents, 2023
Victoria Krakovna and Janos Kramar · 2023
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Agentbench: Evaluating llms as agents
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Gpt-4 system card, 2023
OpenAI · 2023
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Do-not-answer: A dataset for evaluating safeguards in llms, 2023
Yuxia Wang, Haonan Li, Xudong Han, Preslav Nakov, and Timothy Baldwin · 2023
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A review of the evidence for existential risk from ai via misaligned power-seeking
Rose Hadshar · 2023
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