
Eliezer Yudkowsky - Wikipedia
Eliezer S. Yudkowsky (/ ˌ ɛ l i ˈ ɛ z ər j ʌ d ˈ k aʊ s k i / EL-ee-EZ-ər yud-KOW-skee; [1] born September 11, 1979) is an American artificial intelligence researcher [2] [3] [4] [5] and writer …
维基搬运|Eliezer Shlomo Yudkowsky - 知乎 - 知乎专栏
2023年2月25日 · Eliezer Shlomo Yudkowsky(生于 1979 年 9 月 11 日)是美国决策理论和人工智能(AI) 研究人员和作家,以推广 友好人工智能的理念而闻名。 [1] [2] 他是机器智能研究所 …
Eliezer Yudkowsky - LessWrong
Eliezer Yudkowsky's profile on LessWrong — A community blog devoted to refining the art of rationality
The Only Way to Deal With the Threat From AI? Shut It Down - TIME
2023年3月29日 · Yudkowsky is a decision theorist from the U.S. and leads research at the Machine Intelligence Research Institute. He's been working on aligning Artificial General …
Rationality: From AI to Zombies
Rationality: From AI to Zombies, by Eliezer Yudkowsky. A compilation of two years of daily blog posts on rationality. Originally posted on the Overcoming Bias and Less Wrong blogs.
Eliezer Yudkowsky: The 100 Most Influential People in AI 2023 - TIME
2023年9月7日 · A decision theorist who did not attend high school or college, Yudkowsky is one of the founders of the field of AI alignment, which aims to prevent Terminator-like scenarios by …
Eliezer Yudkowsky | Speaker - TED
With more than 20 years of experience in the world of artificial intelligence, Eliezer Yudkowsky is a founder and research fellow at the Machine Intelligence Research Institute, a nonprofit …
Eliezer Yudkowsky - AI Alignment Forum
2025年2月9日 · Eliezer Yudkowsky is a research fellow of the Machine Intelligence Research Institute, which he co-founded in 2001. He is mainly concerned with the obstacles and …
Eliezer Shlomo Yudkowsky: Leading Thinker on AI Safety & Ethics
3 天之前 · Eliezer Shlomo Yudkowsky is a pivotal figure in the field of artificial intelligence safety and alignment. Born in 1979, Yudkowsky is a self-taught researcher and writer who has …
失败主义者 Eliezer Yudkowsky - 知乎 - 知乎专栏
Eliezer Yudkowsky 表示他希望这一轮 LLMs 引发的 AGI 狂热只是个死胡同,最好能再来个几十年的 AI 冬天。 但是他表示这仅仅是 wishful thinking,作为 Bayesian 不得不给这种可能性分配 …
- 某些结果已被删除