I use the podcasts of Lex Fridman as an opportunity to talk to very intelligent and clever people while having breakfast. These conversations always give me the motivation to keep up with my research work as well.

I have just finished listening to Lex's conversation with Prof. Sergey Levine. Very insightful!
Sergey is a brilliant researcher in the field of Deep RL and Computer Vision and a very humble and genuine person. I was lucky to meet him in person and to talk to him a little bit at my first big scientific conference NeurIPS 2016.

A piece of advice for students from Sergey Levine:

"It is important to not be afraid to spend time imagining the kind of outcome that you might like to see. If someone who is a student considering a career in AI takes a little while, sits down and thinks like "What do I really want to see a machine do? What do I want to see a robot do? What do I want to see a natural language system do?". Imagine it almost like a commercial for a future product or something that you'd like to see in the world. And then actually sit down and think about the steps that are necessary to get there. And hopefully, that thing is not a better number on ImageNet classification, it's probably like an actual thing that we can't do today. That would be really AWESOME.

Whether it's a robot butler or an awesome healthcare decision-making support system. Whatever it is that you find inspiring. And I think that thinking about that and then backtracking from there and imagining the steps needed to get there will actually do much better research, it will lead to rethinking the assumptions, it will lead to working on the bottlenecks other people aren't working on."