Interview, Explained
In-depth breakdowns of tech interviews — section-by-section analysis with diagrams, quotes, and insights.
~13 minReuben Athaide on why context beats the model in AI security
A Standard Chartered security leader on what changes when frontier AI hunts software exploits: the architecture and trust-boundary context you give the model matters more than which model you pick, and the organizations with solid foundations are the ones that benefit.
~95 minThariq Shihipar on the coding agent you can rewrite by asking
Anthropic's Thariq Shihipar on how the coding agent is turning into mutable software you reshape by prompting — and why that moves the engineer's job from typing instructions to exercising judgment, even as the same capability forces the labs to pace the frontier.
~50 minDavid Pawlan on why the invisible agent wins
<strong>The winning assistant is invisible and proactive</strong> — it saves you money in the background, and asks permission only before consequential changes.
~39 minPradeep Gupta & Stephen Jones on turning CUDA libraries into agent skills
Two NVIDIA veterans explain how CUDA stays vertically integrated yet horizontally open, and why turning its 900+ libraries into agent skills reshapes the developer's job.
~42 minDiogo Almeida on why AI belongs inside software, not writing it
TypeSafe's Diogo Almeida argues that AI has stalled on real automation because we keep making it write software for humans to read, and that the fix is Jev, a reliable classifier you drop inside programs so software itself can make smart decisions.
~6 minJake Loosararian on keeping humans in control of physical AI
Gecko Robotics CEO Jake Loosararian argues that physical-AI robots earn a place in defense and industry only when a human-set boundary and a watching guard travel with them - the two layers of NVIDIA's new open agent-safety platform, now running on Gecko's Komodo robot.
~30 minWaddle Labs & RoboCurve on Why One LLM Can Run Any Robot
Two frontier startups argue that the fastest path to capable robots is not a robotics-specific model but one strong general-purpose LLM that writes code and calls tools to control any robot, fed with data-rich modalities like coding and computer use.
~5 minGregory Allen on the U.S.–China AI Story the Headlines Miss
Gregory Allen argues the real U.S.–China AI story is below the surface: both governments' agencies treat frontier risk more seriously than their leaders admit, while U.S. compute keeps extending its lead over China's headline chip progress.
~5 minEd Jennings on why AI agents are the new insider threat
Darktrace CEO Ed Jennings argues that AI agents behave like a new kind of insider threat, so the fix is not to slow adoption but to watch what agents actually do in real time and build security into models from the start.
~43 minMichael Lee on why AI can crown the re-founded incumbent
Michael Lee argues that in the industries where incumbents hold structural advantages, AI's biggest winner will be a re-founded incumbent, not a startup, and that owning the business, celebrating the engineer, and redrawing how people work is what turns that moat into a lasting lead.
~31 minMike Schroepfer on AI's energy crunch as an economics problem
Former Meta CTO Mike Schroepfer argues AI's energy crunch is an economics problem, not a physical limit -- and lays out the untapped headroom, from wave-powered inference buoys to fusion, that could keep supply ahead of demand.
~47 minAmjad Masad on why young people should be heretics
In a conversation about reinventing college for the AI era, Amjad Masad argues that the real job of young people is to question deeply held beliefs — and that how we learn, build, and start companies all have to change to protect that.