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Bob McGrew

05/28/25

@ Joe Lonsdale

Initially, we were wrong about the type of data the intelligence community had; they had much less structured data than we assumed, primarily relying on documents and parsing information.

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How Palantir Alumni Keep Launching Billion-Dollar Ideas

@ Joe Lonsdale

How Palantir Alumni Keep Launching Billion-Dollar Ideas

05/28/25

Related Takeaways

Sam Altman

11/09/24

@ Y Combinator

We started with many assumptions about technology and our company structure, and we learned from being wrong.

Marc Andreessen

11/27/24

@ PowerfulJRE

The Russia investigation was initially believed by many, but as more information came out, it became clear that the narrative was flawed.

Sam Altman

11/09/24

@ Y Combinator

We were confident that larger neural networks would yield better results, even before we had the data to prove it.

Paul Buchheit

08/10/24

@ Y Combinator

The early understanding at Google was that having enough data is the key to making things intelligent, rather than just iterating on algorithms.

Bob McGrew

05/28/25

@ Joe Lonsdale

In the intelligence community, finding a spy is challenging, and once found, they often don't share useful information, making it difficult to understand their needs for software.

Aravind Srinivas

02/22/25

@ Y Combinator

We initially focused on searching over specific verticals or datasets, but pivoted to a more general search approach when we realized the limitations of that strategy.

Bob McGrew

06/17/25

@ Sequoia Capital

Proprietary data can be less valuable than the insights generated by infinitely smart agents using public data, as the latter can synthesize new information more effectively.

Michael Babineau

05/30/19

@ Y Combinator

A common mistake among applicants is assuming the data is perfect, which can lead to distorted findings if they don't anticipate potential issues.

Peter Thiel

04/17/25

@ Joe Lonsdale

In the context of government and defense, we had very low-tech and privacy-violating solutions for the terrorism problem, which needed to be addressed with more effective technologies.