我们能否准确衡量开放模型推理份额？
原标题：How well can we measure open model inference share?
AI 摘要
Interconnects AI 作者介绍了其维护的 Interconnects Dashboard，用于汇总开放模型采用与性能数据，并指出当前所有开放模型采用指标都极不精确。文章以 Baseten、Fireworks、Together AI 等开放模型推理初创公司及 OpenRouter 的 token 份额作为风向标，探讨开放模型推理市场是否在增长、是否相对 OpenAI/Anthropic 只是零头。文中提到 Fireworks 称其每日为客户定制模型提供超 40T token，该垂直业务自今夏增长超 2 倍，作者预计其秋季总量将远超 100T token，并尝试用 Google 财报披露的 token 量进行对比。
正文节选
My longest running agent testbed has been building the Interconnects Dashboard — an aggregator of all of the best data on open model adoption and performance from across the web. This dashboard is freely available and becoming quite useful. Still, all the measurements we have on open model adoption are incredibly imprecise. We have noisy platform metrics, marketing-related metrics from startups, and imperfect public evaluations. It takes an informed eye to figure out where things are going. Thes