This article has blown up in the AI community. All that crazy spending on compute power by big companies in the past might have been for nothing OpenAI's 2020 Scaling Law claimed that training large models should focus on piling up parameters, and data wasn’t important. But now it’s been exposed as wrong—data is super™ important Wonder if Meta and BlackRock cutting back on compute investment recently is because they got burned by this