生成式AI因其扩展性差和高资源需求而被批评为有史以来最差的技术。AI研究人员指出，很少有其他软件技术表现出如此低效的扩展性。据报道，大型语言模型的大量资源消耗正在推高计算机内存和存储的成本，科技公司可能购买了很大一部分高端内存供应。 AI
影响 生成式AI的扩展性差和资源需求可能导致成本增加以及关键计算组件的可用性受限。
排序理由 该集群包含讨论生成式AI的扩展性和经济影响的观点文章，而不是主要发布或事件。
在 Mastodon — fosstodon.org 阅读 →
AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
完整方法见我们的编辑标准。
The Atlantic on # generative # AI scaling: "...I asked a few AI researchers whether they could name any other real-world software that scales so poorly. None of them could think of any. Even outside the world of software, it’s hard to find a comparable example, given that economy…
“I asked a few # AI researchers whether they could name any other real-world software that scales so poorly.🚨None of them could think of any. By economic & engineering measures, # GenAI 🚨might be the worst # tech ever deployed. AI companies🚨are making things expensive for the res…
" I asked a few AI researchers whether they could name any other real-world software that scales so poorly. None of them could think of any. Even outside the world of software, it’s hard to find a comparable example, given that economy of scale is the principle that has made ligh…