# DeepMind 谈 AI 递归自我改进投资逻辑

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-09-13 10:30
- AIHOT 分数：39
- AIHOT 链接：https://aihot.news/items/cmtz7kzhs0xa9rouprto9j5wk
- 原文链接：https://x.com/rohanpaul_ai/status/2098962521160065228

## AI 摘要

递归自我改进 → 超指数级能力增长 → 当前 AI 支出背后的投资逻辑。

Google DeepMind 首席战略官 Jasjeet Sekhon 表示，AI 基础设施支出正在为一个人们所期望的自我改进循环提供资金。

—— 来自 "Berkeley RDI" YouTube 频道，（完整视频链接见评论）

## 正文

Recursive self-improvement → hyperexponential capability growth → the investment thesis behind present AI spending.

Google DeepMind Chief Strategy Officer Jasjeet Sekhon says AI infrastructure spending is financing a hoped-for self-improvement loop.

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From "Berkeley RDI" YouTube channel, (full video link in comment)

### 引用推文

> Rohan Paul：it begins, everybody is talking about recursive self-improvement. This is from Dario Amodei's latest 3800 word essay.