Interview, Explained
In-depth breakdowns of tech interviews — section-by-section analysis with diagrams, quotes, and insights.
Sam Altman on why intelligence on tap raises the bar
Altman argues AI agents compress startup execution from months to minutes, raising the ambition bar while making the concentration of power the central safety risk to design against.
Akshay Nathan on One Shared Harness, Two UX Shells
OpenAI merged Codex's agent power into ChatGPT Work behind one shared harness after non-developers quietly adopted the coding agent, betting that as AI blurs job roles the product should route users rather than box them in.
Mark Chen on Why You Can't Cheat the Real World
OpenAI's Chief Research Officer explains why he bets on the exponential, grades progress only against metrics that can't be faked, and runs research like a trader's book of high-risk bets.
Noam Brown on Why Reasoning Models Need Budget Curves — Interview, Explained
Noam Brown argues that reasoning models must be evaluated as budget curves, because more test-time compute can unlock capabilities that static benchmark grids hide.