想知道为什么买更多 GPU 不灵了？Anthropic 是怎么靠文化和准备搞定编码的？AMP 创始人讲得特别透，全是内行视角的干货。
AMP 创始人 Anjney Midha 在播客中分享 Google 内部将 95% GPU 利用率视为“故障”的标准，指出单纯购买更多 GPU 已非 AI 竞争核心。他介绍 AMP 正推动将 FLOPs 像兆瓦级电力一样调度，并警告数据中心阻力可能成为 AI 最大瓶颈之一。同时分析 Anthropic 通过独特文化和准备在编码领域取得突破，DeepMind 的研究囤积导致市场失灵，强调下一个前沿属于能在计算、资本、文化和科学上“最大化输出”的团队。
Long Live Outputmaxxing: AI compute grids, Anthropic’s coding takeoff, data center backlash, & front...
Long Live Outputmaxxing: AI compute grids, Anthropic’s coding takeoff, data center backlash, & frontier systems latent.space/p/anj @amppublic founder @AnjneyMidha explains why 95% GPU utilization was considered an outage at Google, why the AI race is no longer just about buying more GPUs, how AMP is trying to make FLOPs flow like megawatts, why data center backlash could become one of AI’s biggest bottlenecks, how Anthropic cracked coding through culture and preparation, why DeepMind research hoarding creates a market failure, and why the next frontier may belong to teams that can “output max” across compute, capital, culture, and science. Your browser does not support the video tag. 🔗 View on Twitter 💬 1 🔄 1 ❤️ 13 👀 1744 📊 3 ⚡