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elvis· @omarsar0 · X·· 3 小时前AI 评分27
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Vincent Weisser 指出后训练/RL 与推理正在接管算力。Elvis Saravia 认为,越来越多公司开始意识到 RL 解锁的商业机会,对许多真实任务而言不需要 AGI,而是专用模型、harness 与数据飞轮。他判断一个全新的后训练时代正在到来,并会随全栈 AI 公司的发展持续扩大。

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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.

引用Vincent Weisser@vincentweisser
Post-training / RL and inference is taking over compute
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来源:elvis · x.com