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AI Notkilleveryoneism Memes ⏸️· @AISafetyMemes · X·· 4 小时前精选AI 评分73
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据 Anthropic IPO 文件披露,按对外售价计算,4 月内部 Claude 使用价值已超过其月度员工薪酬(不含股票),10 个月内增长 250 倍。原文同时指出这并非现金支出反超,而是把内部 AI 消耗按零售价估值;9 月公司新增代码超过 90% 由 Claude 编写。引用内容还提到约 30,000 个智能体在做研究与工程工作,约 6% 的 AI R&D 算力分配给安全。

推荐理由

原文引用 Business Insider 和 IPO 文件数据,并保留了估值口径的区分,读者可以据此核对 Anthropic 内部 AI 使用增长的实际含义。

正文

Anthropic is now spending more money on its "AI employees" than its human employees

250x (!) increase in... 10 months (!)

This is another warning sign that RSI/intelligence explosion is imminent.

Anthropic's human researchers will be gone soon - no longer useful to the Machine Gods.

Just AIs creating more AIs, forever, with humans praying for the gods' mercy

Business Insider: "The company revealed this in its IPO filing. In April, the value of Claude AI used internally, calculated at prices Anthropic charges customers, exceeded its monthly employee compensation costs, excluding stock awards.

There's an important distinction here. Anthropic isn't actually spending more cash on AI than salaries. It's valuing its internal AI consumption at retail prices.

Still, this feels like a watershed moment for the tech industry.

Tech companies are starting to treat AI tokens (the main way to measure usage) as a fourth component of employee compensation, alongside salary, bonuses, and stock awards.

Anthropic's numbers show why. More than 90% of the code added to its software in September was written by Claude. Meanwhile, revenue has grown vastly faster than headcount.

For decades, talented humans were the most valuable resource in Silicon Valley. Now AI is challenging that assumption."

Source: businessinsider .com/anthropic-claude-internal-ai-use-exceeds-employee-pay-tokens-2026-11

引用AI Notkilleveryoneism Memes ⏸️@AISafetyMemes
Suddenly, AIs are leading over 26% (!) of the work building the next version of themselves 6 months ago, it was... 0%. "There are now 30,000 agents doing research and engineering work at Anthropic at any one time." 30,000 is a "country of geniuses in a datacenter" (4 countries are similar/smaller) "about 6% of compute that went to AI R&D was allocated toward safety"
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