Scalable machine learning models for predicting quantum transport in disordered 2D hexagonal materials

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Many OpenAI researchers were skeptical that Amodei's idea would even work. Some also argued that a more gradual scaling approach would be more measured, scientific, and predictable. But Amodei was adamant about his proposal and had the backing of other leaders. Sutskever was keen to play out his hypothesis of scaling Transformers; Brockman wanted to continue raising the company's profile; Altman was pushing to take the biggest swing possible. Soon after, Amodei was promoted to a VP of research.

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