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Chris Brose

04/23/25

@ a16z

Government partners are increasingly recognizing that the iterative process of developing technology is a feature, not a bug, and that it leads to better outcomes than traditional funding models.

Video

The Kill Chain: 2025 Edition

@ a16z

The Kill Chain: 2025 Edition

04/23/25

Related Takeaways

Chris Brose

04/23/25

@ a16z

Many in government have been waiting for innovative companies to deliver better technology, as they have experienced the limitations of outdated systems in their service.

Matt Cutts

12/04/19

@ Y Combinator

High-performing startups should adopt human-centered design principles, as the government has made strides in this area that can benefit the private sector.

Matt Cutts

12/04/19

@ Y Combinator

Government technology often feels outdated, and there's a pressing need for technologists to help modernize systems and processes.

Justin Fanelli

04/03/25

@ a16z

We need to find innovations from non-traditional partners and scale them quickly, while also managing existing budget constraints and strategic spending.

Y Combinator Cast

01/27/22

@ Y Combinator

Many companies raise significant funds, ignore feedback for years, and then return to seek help when their product isn't working, often without having validated their solution.

Chris Brose

04/23/25

@ a16z

My advice to the Department of Defense is to embrace a long-term perspective, understanding that iterative, fast-moving approaches are essential for developing effective technology.

Lex Fridman Cast

03/25/25

@ Lex Fridman

The future of governance requires a balance between leveraging technology and ensuring that institutions are designed to foster innovation and responsiveness.

Google for Developers Cast

05/23/25

@ Google for Developers

Developers should be agile and continuously experiment with technology, as many ideas may not work initially but could succeed in future iterations of the models.

Derek Thompson

04/04/25

@ Y Combinator

The NIH should adopt a more experimental approach to funding, allowing for high-risk, high-reward research that traditional models might overlook.