AI 导读
后训练、强化学习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并不需要 AGI,而是专用模型、harness 与数据飞轮。一个成果丰硕的后训练时代正在到来,并将在全栈 AI 公司中持续扩大。
正文
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