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Episode Details
EPISODE INFO
- Released
- May 4, 2025
- Duration
- 11m
- Channel
- EO Studio
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
Caltech's Professor Anima Anandkumar states, "A lot of these AI tools are getting better, but you still need to provide AI what to do." So how can we discover the questions we want to ask AI in our lives? Professor Anandkumar Professor Anandkumar, who was a Principal Scientist at Amazon Web Services and a Senior Director of AI at NVIDIA, explains how she draws out creative thinking from her students at Caltech. She also shares her personal journey of developing the mission to "solve real-world scientific problems through AI," providing hints on how we can find our own mission. Through this interview with Professor Anandkumar, who has researched AI for over 15 years, consider what attitudes and abilities we need in an era where AI is increasingly advancing! 00:00 Intro 01:24 Start Where You Are Curious 03:38 How I Started Where I Was Curious 04:53 Developing the AI That Changes the Real World 08:25 Can AI Replace Scientists? 10:00 Does AI Kill Curiosity? Subscribe for more episodes exploring what makes us uniquely human in the age of artificial intelligence! #AI #Curiosity #Creativity #Science #HumanAgency EO stands for Entrepreneurship & Opportunities. As we're looking to feature more inspiring stories of entrepreneurs all over the world, don't hesitate to contact us at partner@eoeoeo.net X | @eostudi0 LinkedIn | @EO STUDIO Instagram | @eostudio.official Newsletter | https://www.eomag.io/subscribe?utm_source=youtube&utm_medium=description Subtitles for this video were created using [XL8.ai](http://xl8.ai/) machine translation.
SPEAKERS
Anima Anandkumar
guestProfessor at Caltech and AI researcher (also known for leading machine learning research in industry).
EPISODE SUMMARY
In this episode of EO Studio, featuring Anima Anandkumar, Fix your AI-limited mindset in 12 mins | Caltech, Anima Anandkumar explores Curiosity, agency, and physics-informed AI that accelerates real science Anandkumar argues that while AI tools automate seen-in-data tasks, humans still must define problems clearly and pursue hard, open-ended questions.
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