Anthropic向投资者披露Q3营收168亿美元，IPO前夕
Anthropic tells investors quarterly revenue up nearly 50% to $16.8bn ahead of IPO
AI独角兽IPO前披露的营收增速与算力效率数据极具行业标杆意义，直接反映大模型商业化变现能力，值得从业者关注。
Anthropic tells investors quarterly revenue up nearly 50% to $16.8bn ahead of IPO
Anthropic 告诉投资者，IPO 前季度营收增长近 50%，达到 168 亿美元
The phrase "told investors" appears four times in this FT article, which reports on Anthropic's day of hosting investors on Wednesday. Lots of details in here from "people with knowledge of the matter".
"告知投资者"这一短语在这篇 FT 文章中出现了四次，该文章报道了 Anthropic 周三举办投资者接待日活动的情况。文中引用了许多"知情人士"提供的细节。
Key things I learned from the article:
我从这篇文章中学到的关键点：
- Q1 revenue (Jan/Feb/Mar) was "about $4.8bn"
- Q2 (Apr/May/Jun) was $11.5bn
- Q3 (Jul/Aug/Sep) was $16.8bn
- In Q3: $1.70 in revenue for every $1 spent on "computing power"
- Adjusted operating margins (excluding stock-based compensation) were 11%
- 第一季度（1月/2月/3月）的营收约为 "48 亿美元"
- 第二季度（4月/5月/6月）为 115 亿美元
- 第三季度（7月/8月/9月）为 168 亿美元
- 在第三季度：每投入 1 美元用于"算力"，产生 1.70 美元的营收
- 经调整的经营利润率（不包括股权激励费用）为 11%
This point about distillation is worth quoting in full (highlight mine):
关于模型蒸馏的这一观点值得全文引用（加粗部分为我所强调）：
The start-up has also clamped down on “distillation” — a controversial practice whereby rival AI labs train their models on the outputs of more advanced ones.
这家初创公司还收紧了对“蒸馏”的限制——这是一种有争议的做法，即竞争对手的 AI 实验室利用更先进模型的输出来训练自己的模型。
When rival companies “distil” their models from Anthropic’s models, that involves heavy usage and spending.
当竞争对手公司从 Anthropic 的模型中“蒸馏”出他们的模型时，这涉及大量的使用量和支出。
Anthropic told investors on Wednesday distillation accounted for 5 per cent to 7 per cent of revenue and that they had cut it back “materially” in the third quarter of the year, said four people with direct knowledge of the matter.
四位直接了解此事的人士表示，Anthropic 周三告知投资者，蒸馏业务占总营收的 5% 至 7%，且他们在今年第三季度已将其“大幅”削减。
Napkin maths says that if distillation was 5% of their Q2 revenue (before they cut it back in Q3) then unnamed "other labs" spent over half a billion dollars distilling Anthropic's models in that quarter!
粗略计算一下，如果蒸馏业务占其第二季度营收的 5%（在第三季度削减之前），那么匿名的“其他实验室”在该季度用于蒸馏 Anthropic 模型的支出超过了 5 亿美元！
Tags: ai, generative-ai, llms, anthropic
标签：ai, generative-ai, llms, anthropic
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