Folgen
- X@So8res
- Websitemindingourway.com
- Wikipediaen.wikipedia.org
Nate Soares
Präsident des Machine Intelligence Research Institute und Mitautor von „If Anyone Builds It, Everyone Dies“, der argumentiert, der Bau einer Superintelligenz mit annähernd heutigen Techniken würde alle töten und müsse durch einen internationalen Vertrag gestoppt werden.
Rollen
- 2014 – Mai 2015Research Fellow, Machine Intelligence Research InstituteQuelle →
- Mai 2015 – Okt. 2023Executive Director, Machine Intelligence Research InstituteSucceeded Luke Muehlhauser on 11 May 2015.Quelle →
- Okt. 2023 – heutePresident, Machine Intelligence Research InstituteMoved to the new role of President when Malo Bourgon became CEO on 10 October 2023.Quelle →
Im Verzeichnis
11. März 2026 · Rede · Harvard Science Book Talk, Harvard Science Center
AI behaves like an organism. We have no idea what's going on inside.
President, Machine Intelligence Research Institute zu jener Zeit
Reported by The Tech (MIT) on 9 April 2026; he added that "ignoring it right now is really stupid".
Nate Soares makes the case against artificial superintelligence →
25. Nov. 2025 · Interview · Persuasion
if anyone builds artificial superintelligence, which is to say an artificial intelligence that is better than the best human at every mental task, then the most likely outcome of the creation of that technology is literally everybody on the planet dying.
President, Machine Intelligence Research Institute zu jener Zeit
Interview with Yascha Mounk.
25. Sept. 2025 · Podcast · Carnegie Endowment for International Peace, The World Unpacked
We need to come together again, like we have before and not build machines that are smarter than us while having no idea what we're doing.
President, Machine Intelligence Research Institute zu jener Zeit
Arguing for an international halt modelled on past arms-control agreements.
Will AI Kill us All? Nate Soares on His Controversial Bestseller →
15. Juni 2022 · Beitrag · LessWrong
once AI capabilities start to generalize in this particular way, it's predictably the case that the alignment of the system will fail to generalize with it.
Executive Director, Machine Intelligence Research Institute zu jener Zeit
A central AI alignment problem: capabilities generalization, and the sharp left turn →