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Written by Kenrick Kay and Crystal He and Anna Tong
(Reuters) – Safe Superintelligence, an artificial intelligence company, has been involved in its founding by the former chief scientist in Openai, in the financing collection talks at a value of at least $ 20 billion.
This would link the company’s assessment of $ 5 billion from the last financing round in September, when it raised one billion dollars from five investors including Sequoia Capital, Andrink Horwitz, and DST Global.
SSI donation collection is tested by prominent artificial intelligence projects to continue to lead the outstanding assessments after a reassessment at the industry level that prompted Deepseek, which was revealed by low -cost artificial intelligence last month.
SSI, who has not generated any revenue, said its mission is to develop the most intelligent “safe experts” of humans while compatible with human interests.
The sources said that the company’s talks with the current and new investors are still in the early stages, and the sources still change. It was not clear the amount of money that SSI seeks to collect.
SSI, founded in June with offices in Palo Alto Will Aib, did not respond to the suspension requests. The founders participating in Sutskever are Daniel Gross, who previously led Amnesty International’s initiatives in Apple and Daniel Levy, a former Openaii researcher.
Essential startup start
In addition to the rapid interpretation of the company’s goals of artificial intelligence, it is not much known about the start or work of the confidentiality. What has caused the interest among investors is the reputation of Squisfar and that the approach of the novel, which he said that his team is working on.
In artificial intelligence circles, it is a legend for his contributions to breakthroughs that support investment frenzy in artificial intelligence. He was an early defender of expansion, which means devoting huge amounts of computing and data to improve artificial intelligence models.
This concept was the basis that led to the progress of artificial intelligence such as Chatgpt from Openai, and the course of the course of a wave of tens of billions of dollars from investing in chips, data and energy centers.
Sutskever was also early in seeing the potential ceiling of such an approach due to the data set for training training. In recognition of the importance of putting resources in the inference stage, or the stage of artificial intelligence when the trained model extracts conclusions, he established the team that worked on what will become the latest series of thinking models in Openai, and setting a new research trend that was widely followed.
