According to @godofprompt, OpenAI's O1 model demonstrates that enhancing model intelligence can be effectively achieved by increasing inference-time computation rather than simply expanding model size (source: @godofprompt, https://x.com/godofprompt/status/2011722597797675455). Major industry players including DeepSeek, Google, and Anthropic are now shifting their strategies to focus on test-time compute, signaling a paradigm shift away from the traditional 'training wars' and towards an 'inference war.' This trend opens up significant business opportunities for AI companies to develop optimized inference frameworks and infrastructure, catering to the growing demand for smarter, more efficient AI applications. The move towards test-time compute is expected to drive innovation in AI deployment, reduce costs, and enable more scalable commercial solutions.