Interview, Explained
In-depth breakdowns of tech interviews — section-by-section analysis with diagrams, quotes, and insights.
~37 minClem Delangue on why open source is the check on AI monopoly
The Hugging Face CEO argues that companies abandon frontier APIs for open and private models once production costs bite, and that keeping AI open is a critical check on a dangerous concentration of power.
~41 minGlenn Fogel on why there's no such thing as a moat
The CEO of Booking Holdings — a dot-com survivor who grew Priceline roughly a thousandfold — argues that no moat protects you from AI, so the only defense is relentlessly reinventing what you do for the customer, judged by hard ROI rather than UI novelty.
~7 minRodrigo Liang on why inference broke everything open
SambaNova's CEO argues that inference has broken the AI market open, and that a challenger can win it by out-flanking NVIDIA on decode throughput, power per rack, mature-HBM supply, and on-prem enterprise data rather than bidding for the newest memory.
~32 minEddie Kim on why agents shouldn't start from a blank canvas
Gusto's co-founder built an AI business partner for small businesses by starting from the recurring tasks they already do — not an open-ended prompt — routing exact jobs like payroll to deterministic crons, and shipping the whole thing with five people in ten weeks.
~59 minAlex Wiltschko on Smell, AI's Missing Modality
Osmo's Alex Wiltschko explains how a graph neural network finally gave computers a map for smell — turning molecular structure into odor, proving it against a human panel, and using the fragrance business to fund a chemical foundation model.
~26 minPim de Witte on Why Games Are Physical AI's Missing Dataset
General Intuition's Pim de Witte argues the next leap in AI isn't more text but world models trained on the one dataset that already encodes space, time, and action: hundreds of millions of hours of gameplay.
~59 minAkshat Bubna on why agent experience is the new developer experience
Modal's CTO Akshat Bubna on why the infrastructure that made developers productive is exactly what AI agents need, why a single RL run can fan out to 100,000 sandboxes, and how a capital-light super-cloud with no data centers plans to serve it.
~30 minGilad Shainer on why the AI factory needs four networks, not one
NVIDIA's networking chief argues an AI factory needs four purpose-built networks — not off-the-shelf Ethernet — to turn a datacenter full of GPUs into a single supercomputer.
~61 minSeema Amble & Steven Sinofsky on why software isn't losing its head
a16z's Seema Amble and Steven Sinofsky argue that 'headless' software doesn't kill the incumbents — because the value was never the UI but the codified business logic, exceptions, and institutional memory underneath, and agents change how you reach that value, not who has to own it.
~24 minRick Smith on making the bullet obsolete
Axon's founder is re-engineering lethal force out of public safety: close the reliability gap between a Taser and a gun, then hand the trigger to AI-targeted drones that are paid for by business and operated by police.
~8 minJudson Althoff on Selling Outcomes, Not AI Adoption
Microsoft is standing up a 6,000-person, ~$2.5B Frontier Company unit to push enterprise AI past adoption pilots into outcome-tied deployments, staffed with industry veterans and built on a model-diverse platform that spans 11,000 models.
~61 minIsaiah Taylor on Why Nuclear's Bottleneck Is Speed, Not Design
Valar Atomics founder Isaiah Taylor argues nuclear's real bottleneck is speed and scale, not physics — so his company manufactures reactors through hardware iteration, minimizes accident consequences instead of odds, and races to make energy cheap enough to feed AI's exploding demand for power.