How To Do Research At The MIT AI Lab | Reflections and Advice on Getting Into AI Research

The video tutorial discusses a guide written by MIT grad students in 1988, offering advice for newcomers to AI research. The speaker shares personal experiences and emphasizes the importance of practical skills like reading papers, networking, and diversifying research interests. The tutorial also highlights the significance of writing, attending talks, and programming. It concludes with insights into the emotional challenges of research, especially for grad students.

What was the primary purpose of the 1988 paper written by MIT grad students?

• To provide a guide for newcomers to AI research

• To summarize AI conferences

• To introduce new programming languages

• To discuss AI ethics

Why is networking considered important in AI research?

• It helps in learning new programming languages

• It allows sharing and discussing papers with peers

• It helps in reducing research costs

• It is a requirement for publishing papers

What is one benefit of diversifying research interests to include humanities and social sciences?

• It increases the number of publications

• It provides alternate perspectives on AI work

• It simplifies the research process

• It reduces the need for networking

Why is writing considered a crucial skill in AI research?

• It ensures clear communication and reproducibility

• It simplifies programming tasks

• It is required for attending conferences

• It helps in securing funding

What is a key advantage of attending talks outside one's field?

• It guarantees publication in top journals

• It provides real-time answers to questions

• It reduces the workload in research

• It helps in learning new languages

What is a common challenge when conducting research as a graduate student?

• Managing the emotional roller coaster of research

• Learning multiple programming languages

• Finding enough research papers

• Attending too many conferences

Why is setting short and long-term goals important in research?

• To increase the number of publications

• To maintain sanity and document progress

• To reduce the need for networking

• To simplify the research process