思维链式推理(chain-of-thought reasoning)是近年来AI最大的突破。过去 40 年的神经网络研究中,几乎没人关心推理效率,因为训练才是瓶颈,现在情况完全逆转。你可以用推理时计算构建越来越聪明的 AI,而推理优化比训练优化要容易得多。用 Dave 的分析来说,此前几乎没有资源被投入到推理时计算的扩展上,因此仅通过暴力扩展推理时间,就能以近乎"免费"的方式获得数量级的性能提升。
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OpenAI President Greg Brockman joins the program to elaborate on the organization's product roadmap, emerging unified application platforms, and his perspective on artificial intelligence entering an accelerated evolution phase. The conversation explores OpenAI's strategic emphasis on GPT reasoning architectures versus visual content generation, implications of the "Spud" training initiative for future models, and Brockman's assessment that artificial general intelligence is 70-80% realized. Additional topics include competitive dynamics, the economic rationale behind OpenAI's $110 billion infrastructure commitment, and addressing public skepticism toward artificial intelligence. This discussion offers unprecedented insights into AI's future trajectory and societal implications.