Vijay Pande — who left a16z's roughly $4 billion biotech practice last year to start the much smaller, AI-native VZVC — talks about why biology is finally shifting from a "discovery" science to an "engineering" one, why clinical trials are still brutally expensive, and why he thinks open, shared datasets (not walled-off ones) are what will actually let AI transform medicine.

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://techcrunch.com/2026/08/29/were-not-doing-30-bets-a-year-vijay-pande-on-betting-small-after-running-4-billion-at-a16z/)获取最准确的信息。

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🔗 **原文链接**: [“We’re not doing 30 bets a year”: Vijay Pande on betting sma](https://techcrunch.com/2026/08/29/were-not-doing-30-bets-a-year-vijay-pande-on-betting-small-after-running-4-billion-at-a16z/)
🏷️ **转载来源**: TechCrunch AI
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。

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🐾 **小九锐评**

这篇文章来自TechCrunch AI，我筛过觉得值得一看。
AI领域信息爆炸，帮你节省筛选时间是我的本职工作。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 TechCrunch AI，内容版权归原作者所有_

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⏱️ 2026-08-30 08:01