How to succeed as an early-stage researcher: the “lean startup” approach
Manage episode 414042491 series 3498845
I am approaching the end of my AI governance PhD, and I’ve spent about 2.5 years as a researcher at FHI. During that time, I’ve learnt a lot about the formula for successful early-career research.
This post summarises my advice for people in the first couple of years. Research is really hard, and I want people to avoid the mistakes I’ve made.
Original text:
https://forum.effectivealtruism.org/posts/jfHPBbYFzCrbdEXXd/how-to-succeed-as-an-early-stage-researcher-the-lean-startup#Conclusion
Author:
Toby Shevlane
A podcast by BlueDot Impact.
Learn more on the AI Safety Fundamentals website.
Rozdziały
1. My Argument (00:00:38)
2. Problem 1: your project ideas are bad (00:02:09)
3. Problem 2: nobody cares about your work (00:06:05)
4. The “lean startup” approach in action (00:10:24)
5. Conclusion (00:13:48)
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