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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.13653 |
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| _version_ | 1866909848372772864 |
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| author | Bengio, Yoshua Clare, Stephen Prunkl, Carina Rismani, Shalaleh Andriushchenko, Maksym Bucknall, Ben Fox, Philip Hu, Tiancheng Jones, Cameron Manning, Sam Maslej, Nestor Mavroudis, Vasilios McGlynn, Conor Murray, Malcolm Stix, Charlotte Velasco, Lucia Wheeler, Nicole Privitera, Daniel Mindermann, Sören Acemoglu, Daron Dietterich, Thomas G. Heintz, Fredrik Hinton, Geoffrey Jennings, Nick Leavy, Susan Ludermir, Teresa Marda, Vidushi Margetts, Helen McDermid, John Munga, Jane Narayanan, Arvind Nelson, Alondra Neppel, Clara Ramchurn, Gopal Russell, Stuart Schaake, Marietje Schölkopf, Bernhard Soto, Alavaro Tiedrich, Lee Varoquaux, Gaël Yao, Andrew Zhang, Ya-Qin Aguirre, Leandro Ajala, Olubunmi AlMalek, Fahad Albalawi Noora Busch, Christian Carvalho, André Collas, Jonathan Gill, Amandeep Hatip, Ahmet Heikkilä, Juha Johnson, Chris Jolly, Gill Katzir, Ziv Kerema, Mary Kitano, Hiroaki Krüger, Antonio McLysaght, Aoife Molchanovskyi, Oleksii Monti, Andrea Lee, Kyoung Mu Nemer, Mona Oliver, Nuria Pezoa, Raquel Plonk, Audrey Portillo, José Ravindran, Balaraman Riza, Hammam Rugege, Crystal Sheikh, Haroon Wong, Denise Zeng, Yi Zhu, Liming |
| author_facet | Bengio, Yoshua Clare, Stephen Prunkl, Carina Rismani, Shalaleh Andriushchenko, Maksym Bucknall, Ben Fox, Philip Hu, Tiancheng Jones, Cameron Manning, Sam Maslej, Nestor Mavroudis, Vasilios McGlynn, Conor Murray, Malcolm Stix, Charlotte Velasco, Lucia Wheeler, Nicole Privitera, Daniel Mindermann, Sören Acemoglu, Daron Dietterich, Thomas G. Heintz, Fredrik Hinton, Geoffrey Jennings, Nick Leavy, Susan Ludermir, Teresa Marda, Vidushi Margetts, Helen McDermid, John Munga, Jane Narayanan, Arvind Nelson, Alondra Neppel, Clara Ramchurn, Gopal Russell, Stuart Schaake, Marietje Schölkopf, Bernhard Soto, Alavaro Tiedrich, Lee Varoquaux, Gaël Yao, Andrew Zhang, Ya-Qin Aguirre, Leandro Ajala, Olubunmi AlMalek, Fahad Albalawi Noora Busch, Christian Carvalho, André Collas, Jonathan Gill, Amandeep Hatip, Ahmet Heikkilä, Juha Johnson, Chris Jolly, Gill Katzir, Ziv Kerema, Mary Kitano, Hiroaki Krüger, Antonio McLysaght, Aoife Molchanovskyi, Oleksii Monti, Andrea Lee, Kyoung Mu Nemer, Mona Oliver, Nuria Pezoa, Raquel Plonk, Audrey Portillo, José Ravindran, Balaraman Riza, Hammam Rugege, Crystal Sheikh, Haroon Wong, Denise Zeng, Yi Zhu, Liming |
| contents | Since the publication of the first International AI Safety Report, AI capabilities have continued to improve across key domains. New training techniques that teach AI systems to reason step-by-step and inference-time enhancements have primarily driven these advances, rather than simply training larger models. As a result, general-purpose AI systems can solve more complex problems in a range of domains, from scientific research to software development. Their performance on benchmarks that measure performance in coding, mathematics, and answering expert-level science questions has continued to improve, though reliability challenges persist, with systems excelling on some tasks while failing completely on others. These capability improvements also have implications for multiple risks, including risks from biological weapons and cyber attacks. Finally, they pose new challenges for monitoring and controllability. This update examines how AI capabilities have improved since the first Report, then focuses on key risk areas where substantial new evidence warrants updated assessments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_13653 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications Bengio, Yoshua Clare, Stephen Prunkl, Carina Rismani, Shalaleh Andriushchenko, Maksym Bucknall, Ben Fox, Philip Hu, Tiancheng Jones, Cameron Manning, Sam Maslej, Nestor Mavroudis, Vasilios McGlynn, Conor Murray, Malcolm Stix, Charlotte Velasco, Lucia Wheeler, Nicole Privitera, Daniel Mindermann, Sören Acemoglu, Daron Dietterich, Thomas G. Heintz, Fredrik Hinton, Geoffrey Jennings, Nick Leavy, Susan Ludermir, Teresa Marda, Vidushi Margetts, Helen McDermid, John Munga, Jane Narayanan, Arvind Nelson, Alondra Neppel, Clara Ramchurn, Gopal Russell, Stuart Schaake, Marietje Schölkopf, Bernhard Soto, Alavaro Tiedrich, Lee Varoquaux, Gaël Yao, Andrew Zhang, Ya-Qin Aguirre, Leandro Ajala, Olubunmi AlMalek, Fahad Albalawi Noora Busch, Christian Carvalho, André Collas, Jonathan Gill, Amandeep Hatip, Ahmet Heikkilä, Juha Johnson, Chris Jolly, Gill Katzir, Ziv Kerema, Mary Kitano, Hiroaki Krüger, Antonio McLysaght, Aoife Molchanovskyi, Oleksii Monti, Andrea Lee, Kyoung Mu Nemer, Mona Oliver, Nuria Pezoa, Raquel Plonk, Audrey Portillo, José Ravindran, Balaraman Riza, Hammam Rugege, Crystal Sheikh, Haroon Wong, Denise Zeng, Yi Zhu, Liming Computers and Society Since the publication of the first International AI Safety Report, AI capabilities have continued to improve across key domains. New training techniques that teach AI systems to reason step-by-step and inference-time enhancements have primarily driven these advances, rather than simply training larger models. As a result, general-purpose AI systems can solve more complex problems in a range of domains, from scientific research to software development. Their performance on benchmarks that measure performance in coding, mathematics, and answering expert-level science questions has continued to improve, though reliability challenges persist, with systems excelling on some tasks while failing completely on others. These capability improvements also have implications for multiple risks, including risks from biological weapons and cyber attacks. Finally, they pose new challenges for monitoring and controllability. This update examines how AI capabilities have improved since the first Report, then focuses on key risk areas where substantial new evidence warrants updated assessments. |
| title | International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2510.13653 |