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We propose a framework for classifying the capabilities and behavior of Artificial General Intelligence (AGI) models and their precursors.
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Mastering the Game of Go with Deep Neural Networks and Tree Search
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Mastering the Game of Go Without Human Knowledge
Silver, D., Schrittwieser, J., Simonyan, K., Antonoglou, I., Huang, A., Guez, A., Hubert, T., Baker, L., Lai, M., Bolton, A., Chen, Y., Lillicrap, T., Hui, F., Sifre, L., van den Driessche, G., Graepel, T., and Hassabis, D · 2017
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Predicting others’ memory performance: The accuracy and bases of social metacognition
Tullis, J. and Fraundorf, S · 2017
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A General Reinforcement Learning Algorithm that Masters Chess, Shogi, and Go through Self-play
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On the measure of intelligence, 2019
Chollet, F · 2019
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Model Cards for Model Reporting
Mitchell, M., Wu, S., Zaldivar, A., Barnes, P., Vasserman, L., Hutchinson, B., Spitzer, E., Raji, I. D., and Gebru, T · 2019
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Thinking about Risks from AI: Accidents, Misuse and Structure
Zwetsloot, R. and Dafoe, A · 2019
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The Alignment Problem
Christian, B · 2020
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Highly Accurate Protein Structure Prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., Bridgland, A., Meyer, C., Kohl, S. A. A., Ballard, A. J., Cowie, A., Romera-Paredes, B., Nikolov, S., Jain, R., Adler, J., Back, T., Petersen, S., Reiman, D., Clancy, E., Zielinski, M., Steinegger, M., Pacholska, M., Berghammer, T., Bodenstein, S., Silver, D., Vinyals, O., Senior, A. W., Kavukcuoglu, K., Kohli, P., and Hassabis, D · 2021
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Kenton, Z., Everitt, T., Weidinger, L., Gabriel, I., Mikulik, V., and Irving, G · 2021
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Qualitative Analysis for Human Centered AI
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Roy, N., Posner, I., Barfoot, T., Beaudoin, P., Bengio, Y., Bohg, J., Brock, O., Depatie, I., Fox, D., Koditschek, D., Lozano-Perez, T., Mansinghka, V., Pal, C., Richards, B., Sadigh, D., Schaal, S., Sukhatme, G., Therien, D., Toussaint, M., and de Panne, M. V · 2021
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