Lex Fridman interviews Kate Darling in this episode of the AI Show.
Kate Darling is a researcher at MIT, interested in social robotics, robot ethics, and generally how technology intersects with society. She explores the emotional connection between human beings and life-like machines, which for me, is one of the most exciting topics in all of artificial intelligence. This conversation is part of the Artificial Intelligence podcast.
0:00 – Introduction
3:31 – Robot ethics
4:36 – Universal Basic Income
6:31 – Mistreating robots
17:17 – Robots teaching us about ourselves
20:27 – Intimate connection with robots
24:29 – Trolley problem and making difficult moral decisions
31:59 – Anthropomorphism
38:09 – Favorite robot
41:19 – Sophia
42:46 – Designing robots for human connection
47:01 – Why is it so hard to build a personal robotics company?
50:03 – Is it possible to fall in love with a robot?
56:39 – Robots displaying consciousness and mortality
58:33 – Manipulation of emotion by companies
1:04:40 – Intellectual property
1:09:23 – Lessons for robotics from parenthood
1:10:41 – Hope for future of robotics
Lex Fridman interviews Ilya Sutskever. co-founder of OpenAI.
Ilya Sutskever is the co-founder of OpenAI, is one of the most cited computer scientist in history with over 165,000 citations, and to me, is one of the most brilliant and insightful minds ever in the field of deep learning. There are very few people in this world who I would rather talk to and brainstorm with about deep learning, intelligence, and life than Ilya, on and off the mic.
This conversation is part of the Artificial Intelligence podcast.
0:00 – Introduction
2:23 – AlexNet paper and the ImageNet moment
8:33 – Cost functions
13:39 – Recurrent neural networks
16:19 – Key ideas that led to success of deep learning
19:57 – What’s harder to solve: language or vision?
29:35 – We’re massively underestimating deep learning
deeplizard has put together a course on how to use Keras.
In this course, we will learn how to use Keras, a neural network API written in Python! In this episode, we discuss the prerequisites required to start working with Keras, why Keras is a good library to learn, and what resources you’ll have available to ensure your success in this course.