Summary
Jason, an academic, researcher, and entrepreneur, discusses various topics related to computer science, AI, and entrepreneurship. He shares insights on changes in student interest and research topics, the impact of social applications on teaching style and curriculum design, and the recruitment of faculty for the robotics department at the University of Michigan. Jason also discusses inflection points for computer vision, the importance of physically grounded computer vision, and the founding of his company, Voxel 51. He shares customer stories and reflects on the New York Times copyright infringement case against OpenAI.
Takeaways
- There is a growing interest among students in making a positive impact and bringing about change through AI and computer science.
- The popularity of computer vision has led to changes in teaching style and curriculum design, with a focus on social applications.
- Recruiting faculty for robotics departments involves emphasizing lasting, sustained societal impact and collaboration.
- The future of computer vision lies in physically grounded scenarios and the ability to generalize from past experiences.
- Assessing the trustworthiness of datasets is an important challenge, and metrics for dataset quality and bias need further development.
- Building a startup requires a focus on impact and a willingness to learn and adapt to user needs.
- Voxel 51 has had a positive impact on teams, helping them discover mistakes in datasets and saving time on tool development.
- The New York Times copyright infringement case against OpenAI raises important questions about the ownership and use of data and models.
Episode 39
