Meta 的 AIRA₃ 仅改变任务说明即可跨领域泛化:在内部基准上让生产 GPU 内核延迟降低 27%,并在另一场 Kaggle 竞赛中把 4000 年前的阿卡德语泥板翻译成英文,达到金牌水平。Meta 称仍处早期、难题尚存,但相信这种能自我积累知识的系统是正确方向,有望加速 AI 研究并解锁递归自我改进。
While the Kaggle competition demonstrated AIRA₃’s capabilities in a specific domain, the system itself can generalize across distinct domains: changing only the task specification. In an internal benchmark, AIRA₃ achieved a 27% latency reduction on production GPU kernels, and gold-level performance in another Kaggle competition translating 4,000-year-old Akkadian clay tablets into English.
We're early, and hard problems are still ahead of us. But we believe a system that compounds its own knowledge is the right bet. As we continue to develop and scale, we’re excited about its potential to accelerate AI research and unlock recursive self-improvement.
来源:@AIatMeta · x.com