快讯
观点：后训练与RL时代开启，专用模型和数据飞轮比AGI更关键
作者omarsar0发文称，越来越多的公司和开发者开始意识到强化学习带来的商业机会；他认为对许多真实世界任务而言，并不需要AGI，而是需要合适的专用模型、运行框架（harness）和数据飞轮，并表示一个富有成果的后训练新时代正在到来，这一趋势正在全栈AI公司中发生并将持续增长。文中还引述Vincent Weisser的观点称"后训练/RL与推理正在接管算力"。以上为作者观点，未经独立核实。
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Own your intelligence stack, folks! This chart could mean so many different things without raw details. I suspect more companies/devs are starting to realize the business opportunities RL unlocks, given the impressive models we already have today. For many real-world tasks, you don't need AGI; you need a proper specialized model, harness, and data flywheel. A new, fruitful post-training era is upon us. It's hard to see, but it's starting to happen with full-stack AI companies, and it's only going to keep growing. Vincent Weisser: Post-training / RL and inference is taking over compute