Interview, Explained
In-depth breakdowns of tech interviews — section-by-section analysis with diagrams, quotes, and insights.
~75 minAli Ghodsi on running a company by its one giant bottleneck
A CEO playbook from Databricks' Ali Ghodsi: run the company by finding its one giant bottleneck and pouring everything into it, hire for the skills you lack, attack rivals only where they are weak, and treat conflict as a discipline you learn.
~52 minKeith Peiris on why intelligence beats schema in the CRM
The CEO of Lightfield explains how an AI-native CRM wins by treating intelligence as worth more than structure: schema-less data, an activity-log architecture, experimental pricing, and an org with no swim lanes.
~20 minIan Buck and Sachin Katti on why the data center is the new computer
NVIDIA's Ian Buck and OpenAI's Sachin Katti describe how frontier AI has turned the whole data center into the unit of compute: a co-designed compute token factory where power, cooling, networking, and even the model tuning its own inference are all one design problem.
~52 minNate Soares on why superintelligence kills us by default
The president of MIRI argues that we cannot set an AI's goals the way we set its code, so a superintelligence built with today's methods ends humanity by default, not through malice but because we hand it power and its grown-in goals are not ours.
~2 hrAnton Leicht on keeping AI power from concentrating
Carnegie fellow Anton Leicht argues that AI power concentrates by default - inside the labs, in Washington, and between the US and the rest of the world - so the realistic goal is not a grand plan but to keep threading the needle, nudging power back toward balance so we muddle through.
~65 minAaron Levie on Where AI's Value Actually Lands
Box CEO Aaron Levie argues the durable value in enterprise AI is not the model but the applied layer that bridges frontier intelligence to real workflows, and he bets most enterprise tokens will soon run background tasks users never started.
~10 minPeggy Johnson on the humanoid that gets paid to work
Peggy Johnson says <strong>Digit 5 can work beside people outside the safety barrier</strong>, extending Agility Robotics' focus on the dull, hard-to-fill jobs a humanoid can be paid to do.
~37 minSatya Nadella on why AI needs an independent tool layer
Microsoft’s CEO argues the durable advantage in AI is the interoperable tool layer — use every model, depend on none, even as Microsoft builds its own — and that safety and public trust are won through control, containment, and tangible benefit.
~64 minElon Musk & Gwynne Shotwell on why rival AI labs should test each other
Musk argues the safest fast path for AI is to make rival labs test each other's models before release, enforced by liability rather than a new global agency, while Shotwell details SpaceX's plan to launch AI-compute satellites and build its own chip fab.
~10 minDavid Sacks on why the labs don't need permission to slow down
David Sacks argues the two frontier labs should meet their own existing legal duty to ship safe AI instead of asking the government to bless a coordinated slowdown, and reads the push for new rules as a pre-election panic the US can't afford against China.
~5 minRayan Krishnan on why AI outruns our ability to understand it
Independent AI evaluator Rayan Krishnan argues the real danger is less about the models being too capable and more that we are building them faster than we can test and understand them, and that honest measurement only works when the tester is barred from also being the fixer.
~10 minHock Tan on why co-designed silicon beats the general-purpose GPU
Broadcom's CEO sees no AI slowdown: a business built on six frontier-lab customers, a $230 billion custom-accelerator forecast for 2028, and a bet that silicon co-designed for one lab's workloads beats a general-purpose GPU.