Meta 取消以 AI 使用量考核工程师，此前 tokenmaxxing 招致反噬

Meta 不再以工程师使用 AI 工具的多少来评价他们的表现。内部备忘录中透露，AI 仪表板和代币计数器将不再影响绩效评估，执行官 Maher Saba 和 Santosh Janardhan 在内部备忘录中表示，The Information 已看到该备忘录：https://www.theinformation.com/briefings/exclusive-meta-tells-engineers-ai-token-usage-part-performance-reviews。现在真正重要的是工作的质量、速度和复杂性。

Meta 之前曾将 AI 使用情况作为评审标准，这导致了人们开始称之为“最大化代币使用”（tokenmaxxing）。员工为了在内部排行榜上看起来出色，大量消耗 AI 代币：https://the-decoder.com/meta-employees-compete-for-token-consumption-on-an-internal-ai-leaderboard/。过度使用也带来了高昂的成本。单单内部 AI 使用的成本到 2026 年就可能达到数十亿美元：https://the-decoder.com/meta-shifts-from-tokenmaxxing-to-token-managing-as-internal-ai-costs-reportedly-hit-billions/，这就是为什么 Meta 计划从 2027 年开始推出预算和中央仪表板的原因。

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Meta will no longer judge its engineers by how much they use AI tools. AI dashboards and token counters won't factor into performance reviews anymore, executives Maher Saba and Santosh Janardhan said in an internal memo seen by The Information：https://www.theinformation.com/briefings/exclusive-meta-tells-engineers-ai-token-usage-part-performance-reviews. What counts now is the quality, speed, and complexity of the work.

Meta had previously made AI use a review criterion, which led to what people started calling "tokenmaxxing." Employees burned through AI tokens in bulk just to look good on internal leaderboards：https://the-decoder.com/meta-employees-compete-for-token-consumption-on-an-internal-ai-leaderboard/. The excessive use came with a price tag. Internal AI use alone is heading toward billions in costs in 2026：https://the-decoder.com/meta-shifts-from-tokenmaxxing-to-token-managing-as-internal-ai-costs-reportedly-hit-billions/, which is why Meta plans to roll out budgets and a central dashboard starting in 2027.

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