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While other frontier AI companies are even worse, Anthropic is still a lot more of an average frontier AI company that tries to win the race than a company whose whole reason for existing is actually to increase the chance the AI goes well.

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Most critical software today works, maintained by talented engineers using testing, code review, and hard-won experience. The problem is not that everything is broken. It is that AI is changing the scale and speed of software production faster than our ability to verify it. What works at human pace may not survive AI pace.

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Anthropic的工程师,按核心功能迭代速度、代码产出质量综合测算,效率被前谷歌高管证实比2005年同行高1000倍——尽管2005年与2026年的技术环境、开发工具差异巨大,但这个量级的差距依然足以引发深思;Cursor用不到两年时间,靠250人(其中约50位有过创始人经历)撑起了2026年2月最新估值近300亿美元,ARR已突破1亿美元;Perplexity以247人的精简团队,实现了140亿美元估值,人均创收是传统SaaS的6倍;Palantir在营收增长56%的同时,人力仅增加了5%。