We are trying to replace or supplement those proxies with observable evidence of work. If someone consistently performs well inside a realistic workplace, an employer has much stronger evidence than a résumé line or a single interview.
Hiring managers often can’t reliably predict who will perform best from applications alone. Faced with many qualified candidates, they simplify the decision by using signals that are easy to compare.
Eg;
portfolio that immediately stands out,
experience at a well-known company (like Tesla),
a trusted referral,
exceptionally clear communication,
previous work that’s easy to evaluate.
Looking for a Product UI/UX Designer and Full-Stack Engineer.
Building an AI-native, persistent workplace where work, not interviews, proves capability.
SaaS × AI × simulation.
If you love designing products that feel alive, not just interfaces, I’d love to chat. DM me.
Why does AI suck at design?
I asked @OpenAI Codex lead @ajambrosino
His take:
1. Practically, labs prioritized coding because it accelerates AI research, and good design is harder to grade than good code.
2. Structurally, great design requires novelty and an understanding of the culture. A model that outputs the @Linear website every time isn’t good design. Models currently index heavily toward known patterns vs. something new.
He believes the practical issues will be solved, but the issues around novelty and culture may take a while.