When it came to making AI smarter, more was better. As he kicked off his research at OpenAI, Sutskever and his team focused on making AI models that were as capable as possible, not necessarily as equitable, fair, or private. In very simple terms, there was a formula for doing that. If you trained an AI model with more and more data, and you also raised the number of parameters the model had, and you also boosted the computing power used for training, the AI model would become more proficient.
