elvis· @omarsar0 · X·· 2 小时前AI 评分25
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Vincent Weisser 指出后训练、强化学习与推理正在接管算力,Elvis Saravia 据此判断更多公司开始意识到 RL 解锁的商业机会。他认为许多现实任务并不需要 AGI,而是专用模型、harness 和数据飞轮,一个后训练新时代正在到来。
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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.
Post-training / RL and inference is taking over compute在 X 查看被引用的帖子
来源:elvis · x.com