In the evolving landscape of AI, automated research presents pivotal consequences. As technology advances, the potential for computers to generate innovations independently marks a significant inflection point in human history, according to experts like Chen. He highlights the importance of models’ ability to pursue long-term research autonomously, which could transform the scientific landscape. This vision of “autonomous time” reflects a drive for models to tackle complex problems efficiently. In contrast, former OpenAI researcher Sutskever viewed the prospect of artificial general intelligence (AGI) as monumental, leading him to focus on controlling superintelligence. However, the superalignment team he established has since disbanded due to a lack of support. Departing researchers, including Jan Leike, expressed concerns over safety culture taking a backseat to product development. Chen acknowledges the dynamic nature of AI research, suggesting that individual decisions within companies often reflect broader uncertainties in the field.
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