Challenge the 'hire slow' mantra. Hiring is an intuitive guess, so act quickly. Once a person is in the organization, their performance is a known fact, not a guess. This clarity allows for faster decisions—both in removing underperformers and, crucially, in accelerating the promotion of superstars ahead of standard review cycles.

Organizational success depends less on high-profile 'superstars' and more on 'Sherpas'—generous, energetic team players who handle the essential, often invisible, support work. When hiring, actively screen for generosity and positive energy, as these are the people who enable collective achievement.

The common practice of hiring for "culture fit" creates homogenous teams that stifle creativity and produce the same results. To innovate, actively recruit people who challenge the status quo and think differently. A "culture mismatch" introduces the friction necessary for breakthrough ideas.

Aravind Srinivas intentionally avoids hiring candidates with established track records from large tech companies. He believes people hungry for their first major success are more motivated and better suited for a startup's intensity than those who may be less driven after a previous big win.

The "attitude vs. aptitude" debate is flawed. Instead, hire the person with the smallest skill deficiency relative to the role's requirements. For a cashier, attitude is the harder skill to train. For an AI researcher, technical aptitude is. The key question is always: is it worth our resources to train this specific gap?

In rapidly evolving fields like AI, pre-existing experience can be a liability. The highest performers often possess high agency, energy, and learning speed, allowing them to adapt without needing to unlearn outdated habits.

For cutting-edge AI problems, innate curiosity and learning speed ("velocity") are more important than existing domain knowledge. Echoing Karpathy, a candidate with a track record of diving deep into complex topics, regardless of field, will outperform a skilled but less-driven specialist.

Instead of recruiting for a job spec, Cursor identifies exceptional individuals and "swarms" them with team attention. If there's mutual interest, a role is created to fit their talents. This talent-first approach, common in pro sports, prioritizes acquiring top-tier people over filling predefined needs.