In this interview, Ilya Sutskever, co-founder and chief scientist at OpenAI, discusses his early interest in AI and neural networks, highlighting their unique approach to code and the challenges in understanding their function. He shares his motivations for starting OpenAI, emphasizing the integration of science and engineering, and addressing the potential challenges posed by AI. Ilya explores the research inspirations behind GPT models, the significance of scaling compute and data, and the potential of CodeX for transforming programming. He also touches on the importance of data quality, the balance between data and algorithmic innovation, and the future of AI in various fields like medicine and biology, while also addressing potential biases and ethical considerations.
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