WhoBuilt

Tim Urban of Wait But Why

Jan 3, 2018· 55 min· 68K views·Watch on YouTube

Speaker

Tim Urban, writer and cofounder of Wait But Why, talks with Y Combinator about making complex topics understandable, emerging technologies, and their consequences.

Why he writes

Urban says Wait But Why lets him learn, create, and follow his curiosity while enjoying his work. As the blog grew, he saw that its posts could influence capable people to work on important problems, including AI.

A pivotal moment in human history

Urban compares human history to a 500-page book: most of it passed slowly, while the Industrial Revolution and modern technology transformed the final page. He argues that people alive now may be approaching a major turning point, with AI as a powerful technology that people in tech are helping shape.

How culture can direct technology

Urban argues that social norms and incentives shape behavior more effectively than asking people to become fundamentally different. If AI safety became prestigious, he says, more talent might turn toward it, much as recognition can draw people to other fields.

Researching a topic from the ground up

Urban aims to reach a working understanding across many subjects rather than expert depth in just a few. For a research-heavy post, he gathers sources and opposing views, records facts and ideas, follows unanswered questions, and then organizes the material into an explanation for readers.

Stay open to opposing views and emerging fields

Urban says confirmation bias can lead people to build persuasive arguments for beliefs they already hold. He recommends reading across viewpoints and hearing people who disagree. He also points to crypto, VR and AR, genetic technologies, brain-machine interfaces, and spaceflight as areas worth understanding, while encouraging people with different skills to contribute.

Takeaways

  • Choose work that sustains your curiosity and gives you energy to keep learning.
  • Make complex topics easier to enter by showing the path from basic questions to a useful understanding.
  • Compare opposing arguments before treating a claim as settled.
  • Culture and incentives can steer talent toward problems such as AI safety.
  • Technology teams benefit from communicators, ethicists, and big-picture thinkers as well as engineers.

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