%0 Journal Article %1 tamkin_understanding_2021 %A Tamkin, Alex %A Brundage, Miles %A Clark, Jack %A Ganguli, Deep %D 2021 %J arXiv:2102.02503 cs %K kuenstliche_intelligenz texttechnologie %T Understanding the capabilities, limitations, and societal impact of large language models %U http://arxiv.org/abs/2102.02503 %X On October 14th, 2020, researchers from OpenAI, the Stanford Institute for Human-Centered Artificial Intelligence, and other universities convened to discuss open research questions surrounding GPT-3, the largest publicly-disclosed dense language model at the time. The meeting took place under Chatham House Rules. Discussants came from a variety of research backgrounds including computer science, linguistics, philosophy, political science, communications, cyber policy, and more. Broadly, the discussion centered around two main questions: 1) What are the technical capabilities and limitations of large language models? 2) What are the societal effects of widespread use of large language models? Here, we provide a detailed summary of the discussion organized by the two themes above.

@article{tamkin_understanding_2021, abstract = {On October 14th, 2020, researchers from OpenAI, the Stanford Institute for Human-Centered Artificial Intelligence, and other universities convened to discuss open research questions surrounding GPT-3, the largest publicly-disclosed dense language model at the time. The meeting took place under Chatham House Rules. Discussants came from a variety of research backgrounds including computer science, linguistics, philosophy, political science, communications, cyber policy, and more. Broadly, the discussion centered around two main questions: 1) What are the technical capabilities and limitations of large language models? 2) What are the societal effects of widespread use of large language models? Here, we provide a detailed summary of the discussion organized by the two themes above.}, added-at = {2021-11-29T12:47:08.000+0100}, author = {Tamkin, Alex and Brundage, Miles and Clark, Jack and Ganguli, Deep}, biburl = {https://www.bibsonomy.org/bibtex/2c1b21ebe8b2d2a0cb558d0b8f39fce76/lepsky}, interhash = {01313bac1dd0abf1c1746aa42ada2a11}, intrahash = {c1b21ebe8b2d2a0cb558d0b8f39fce76}, journal = {arXiv:2102.02503 [cs]}, keywords = {kuenstliche_intelligenz texttechnologie}, language = {en}, month = feb, note = {arXiv: 2102.02503}, timestamp = {2021-11-29T12:50:05.000+0100}, title = {Understanding the capabilities, limitations, and societal impact of large language models}, url = {http://arxiv.org/abs/2102.02503}, urldate = {2021-11-20}, year = 2021 }