Interview, Explained
In-depth breakdowns of tech interviews — section-by-section analysis with diagrams, quotes, and insights.
~70 minDatabricks' Zaharia and Xin on why data, not the model, is the moat
Databricks' co-founders on their one bet — that owning the data and the agent substrate, not the frontier model, is the durable moat in the AI era.
~60 minDario Amodei on the Smooth Exponential
Why AI progress follows a smooth exponential curve.
~21 minTimothée Lacroix on why chucking weights over the wall isn't enough
Mistral's co-founder and CTO explains why the company wrapped a full stack — service, an inference platform, and its own data centers — around open-weight models, betting that enterprises want control and customization more than being first to the frontier.
~146 minJensen Huang on Why AI Companies Win by Co-Designing the Whole AI Factory
Jensen Huang reasons from first principles that AI has turned the computer from a retrieval warehouse into a token-generating factory, so NVIDIA now co-designs the entire AI factory instead of just the GPU, riding four compounding scaling laws toward a future he treats as already inevitable.
~56 minMark Zuckerberg on Turning Biology Into an Engineering Science
Zuckerberg, Priscilla Chan, and Alex Rives on fusing frontier AI with frontier biology to turn biology from a discovery science into an engineering science — and cure all disease this century.
~18 minMichael Kratsios on why adoption wins the AI race
The White House's top science advisor lays out how America keeps its AI lead: coordinating a decentralized government, opening classified military AI to every major vendor, using frontier models to harden cyber, regulating by use case, and winning through adoption at home and abroad.