Hello and Welcome to Conditionally Accepted! I'm Ding Li, an AI and HCI researcher, and Conditionaly Accepted is my show about research, work, and life at the intersection of humans and technology.

Today, I have the pleasure of speaking with Toby Li, an assistant professor at the University of Notre Dame. Toby's research focuses on designing practical, human-centered AI systems for those really complex, knowledge-intensive tasks we face every day. He recently became the director of the Human-Centered Responsible AI Lab at the Lucey Family Institute for Data Science and Society.

In this episode, we explore Toby's journey as a new faculty member and how he's building his research group from the ground up. Toby shares his unique approach to fostering a thriving lab culture, emphasizing the importance of open communication, trust, and always putting his students' interests first. We also get into some really interesting discussions about the potential pitfalls of algorithmic management at Amazon warehouses, the realities of academic salaries, and his vision for the future of responsible AI.

Toby's candid insights make this a truly captivating conversation. So without further ado, let's dive right in!

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• 📧 Email: ding@halfmaker.com
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• 💡🎙️Let me know your feedback and suggest future topics and guests!

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• 🎥 YouTube: https://www.youtube.com/@conditionallyaccepted

Chapters:

• 0:00 Introduction and Welcome
• 0:50 Starting a Research Lab During the Pandemic
• 2:56 Building Lab Culture
• 6:57 PhD Mentorship Philosophy
• 10:45 Defining Success in Academia
• 17:40 Interdisciplinary Collaboration and Community Building
• 28:15 Fostering Lab Community and Casual Connections
• 43:56 Human-Centered Responsible AI
• 58:00 Balancing Opportunities and Growth

In this episode, we discuss strategies for wrapping up your PhD dissertation and preparing for life after grad school. I am your Host, Ding Li. and today we have Henrique and David share their experiences around finalizing PhD theses. We talk about focusing on the minimum viable product rather than perfectionism. A done thesis is better than a perfect thesis.

Later in the show, we dive into the PhD job hunt - when to start applying, how many jobs to apply to, and skills like communication that are crucial for interviews. We also discussed the importance of talking to people who recently graduated to get insider perspectives on companies and positions.

Stick around as we reflect on the stress of the PhD job search and how to evaluate different job offers.

Whether you're still developing your thesis or already interviewing for your next steps after graduating, we hope this episode provides some guidance and reassurance during this transitional period.

Leave a comment in the youtube video or email me at podcast@halfmaker.com

Youtube Channel https://www.youtube.com/channel/UCRZzkxDroA3qS6EpTJy014w

Large language models and GPT are trending these days. In this episode, Henrique and I sit down with David watkins from Boston Dynamic AI institute. We talk about how LLM is transforming robotics research. We dive into the cutting-edge research happening around generative models and foundation models like GPT, and how these powerful AI systems can be applied to robotics to enable new capabilities.

David provides unique insights into the challenges and opportunities of training robots to function more intelligently in dynamic real-world environments.

Since we all work closely with academia, we also discussed on why top universities are currently absent from the LLM race. It seems like the rich universities do have a ton of endowment funds at a comparable level as the top tech firms, what are the reasons they are not engaging on LLM trainings?

If you haven't subscribed already please like and subscribe now.

Rich universities have comparable endownment fund as tech firms: tweet

Leave a comment in the youtube video or email me at podcast@halfmaker.com