Success at OpenAI requires the ability to create from the ground up, as there are no existing analogies for the products being developed. The company seeks candidates with strong technical skills and AI research passion, but emphasizes the need for innovative thinking. OpenAI intentionally releases features before they are fully polished to gather user feedback quickly. This approach contrasts with companies that focus on upholding a strict quality standard, which can lead to polishing the wrong elements rather than addressing user needs based on real feedback.
"Approaching each scenario from scratch is so important in this space. There is no analogy for what we're building. You can't copy an existing thing."
"You can learn from everywhere, but you have to do it from scratch. That's why that trait tends to make someone effective at OpenAI, and it's something we test for."
"We get a lot of crap for the model chooser. It's better to ship out something raw even if it makes less sense so you can start learning from real users."
"Companies often wait to unveil products because they want to adhere to 'a quality bar,' but it's actually better to roll out features quickly to ensure you get the feedback you need."
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