To avoid the trap of hiring 'good enough' people, make the interview panel explicitly state which current employee the candidate surpasses. This forces a concrete comparison and ensures every new hire actively raises the company's overall talent level, preventing a slow, imperceptible decline in quality.

Treat hiring as a compounding flywheel. A new employee should not only be a great contributor but also make the company more attractive to future A-players, whether through their network, reputation, or interview presence. This focus on recruiting potential ensures talent density increases over time.

The most promising hires are often high-agency individuals constrained by their current environment—'caged animals' who need to be unleashed. Look for candidates who could achieve significantly more if not for their team or organization's limitations. This is a powerful signal of untapped potential and resourcefulness.

In niche sectors like aerospace engineering, the pool of senior, diverse talent is limited. A pragmatic strategy is to hire the best available senior specialists while intensely focusing diversity efforts on junior roles and internships. This builds a more diverse next generation of leaders from the ground up.

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.

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?

Standard application processes often filter out candidates with non-linear career paths. Bypassing these filters requires "warm networking"—building genuine connections with people inside a target company to let them see your potential as a human, not just a CV.

Rejecting conventional headhunters and pedigrees, WCM actively sources talent from unique places. They successfully hired a key team member after discovering his insightful investment commentary on Twitter, where he was posting under a fake name, proving that talent can be found anywhere.

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.