Here's a hot take on the compute arms race: stop throwing more chips at the problem. The real game? Maximize how many models you can train in a given timeframe. Think about it - when everyone's obsessed with scaling up raw compute power, the smarter play might be optimizing your training pipeline to pump out more iterations faster. It's not about who has the biggest data center anymore.