Concerns are being raised about the world running out of data and its implications on progress towards building smarter AI models.Researchers are exploring alternative approaches, such as generating synthetic data using AI models, but this comes with its own risks.There is a debate about whether the heavy reliance on data is sufficient for achieving general intelligence or if something else is required.Some problems in mathematics and engineering may require exponentially large amounts of data that surpasses the limitations of current AI models.