Interview, Explained
In-depth breakdowns of tech interviews — section-by-section analysis with diagrams, quotes, and insights.
~8 minMike Schroepfer on choosing AI specifics over absolutes
Former Meta CTO Mike Schroepfer makes a pragmatist's case: the always-on Muse assistant is already useful and headed for the enterprise, and the AI-risk conversation should trade sci-fi absolutes for the concrete near-term problem -- cybersecurity, where an autonomous attacker only has to find one unlocked door.
~46 minChesky & Isaacson on AI happening to them, not for them
On CNBC's Squawk Pod, Airbnb CEO Brian Chesky argues agents, not chatbots, are the future and that most people feel AI is happening to them rather than for them, while historian Walter Isaacson explains why an industry that fears its own technology keeps building it anyway.
~7 minMikey Shulman on why creating will beat consuming
Suno CEO Mikey Shulman argues AI's real promise in music is turning passive listeners into creators -- which means running a music company, partnering with labels on co-creation, and rejecting the idea that more compute alone wins.
~38 minPushmeet Kohli & Jeremy Ratcliffe on watermarking proteins, function intact
Google DeepMind's SynthID hides a key-driven signal inside AI output — text, images, and, as a proof of concept, AI-designed proteins — so its AI origin can be detected by anyone holding the key.
~10 minPari Singh on giving hardware its software moment
Flow Engineering's Pari Singh argues AI is collapsing hardware design cycles the way it already collapsed software's, turning multi-year waterfall development into a continuous, agent-driven loop, a shift investor Roelof Botha backs as durable because hardware is central to most of the world's most valuable technology companies.
~37 minGina Raimondo on Why the AI Jobs Shock Needs a Plan
Former Commerce Secretary Gina Raimondo argues the real danger of AI is not the technology but the lack of a planned jobs transition, and she is building a state-by-state coalition of governors and CEOs to retrain workers before the layoffs arrive.
~7 minFrancis deSouza on evidence over hopes and fears
The CEO of Scale AI argues that AI policy should be set by independently measuring what every model — frontier and open-weight — can actually do and where it is risky, rather than by either acceleration hopes or catastrophe fears.
~7 minMichael Intrator on why AI compute is sold out for years
CoreWeave CEO Michael Intrator argues demand for AI compute is structurally durable — not cooled by paced model releases or data-center moratoriums — even as his NVIDIA infrastructure stays sold out for years and customers pull the company up the stack from raw GPUs into AI tooling.
~59 minChristian Klein on why an LLM alone can't run a business
SAP's CEO argues the large language model is only the engine of enterprise AI - the value, and SAP's moat, is the surrounding layer of task-level accuracy, business data and ontology, governed access, and cost control, much of it resting on 50 years of ERP depth.
~40 minWeinstein & Handa on Computer Use Beating the Average Human
At OpenAI's DevDay, the leads of computer-use agents and the API platform explain how agents that drive ordinary software passed the average human on most tasks, where the gains come from — better models, richer inputs, and harness engineering together — and how OpenAI is packaging all of it into low-level cloud primitives developers can build on.
~67 minGreg Burnham on the straight line hiding AI's jagged frontier
Epoch AI's capabilities-research lead on why a decade of AI benchmarks, stitched together, traces one stubbornly straight line of progress, and what that line hides: a jagged frontier where AI cracks century-old math problems but hasn't yet shown it can invent a genuinely new idea or learn a board game on the fly.
~14 minJohn Peterson on cutting investigation time to 89 seconds
Sophos CTO John Peterson explains how OpenAI Daybreak agents collapsed security-case investigation from 38 minutes to about 89 seconds, why humans still gate destructive actions, and why the fundamentals matter more than ever.