"Reframe neural training as equation solving Sam Altman offered a framing that demystifies why large models need massive data. He explained that neural network training can be seen as solving a system where "every data point is an equation and every parameter is a variable," adding that "this reframing helps understand why large datasets can constrain and train large neural networks effectively." When you understand a technology as math, you can predict its scaling behavior — which is exactly how OpenAI sized its compute investments. Source: Sam Altman, No Priors, Sam Altman: OpenAI, GPT-5, and the Future of AI"