Name: The impact of chatGPT and other large language models on physics research and education
Start: 2023-07-21T08:55:00-04:00
End: 2023-07-21T17:20:00-04:00
Location: MIT

The impact of chatGPT and other large language models on physics research and education

Friday, 21 July 2023 - 08:55

Monday, 17 July 2023
Tuesday, 18 July 2023
Wednesday, 19 July 2023
Thursday, 20 July 2023
Friday, 21 July 2023
09:00
09:00 - 11:50
Room: 32-123
Contributions

09:00 Introductory remarks - Kevin Burdge (MIT)

09:05 Keynote address: Towards Machines that can Learn, Reason, and Plan (remote) - Yann LeCun (NYU/Meta)

10:00 Generative AI gives some spectacular demonstrations, but I don’t know how! - Peter Szolovits (MIT)

10:15 Language Models as World Models? - Jacob Andreas (MIT)

10:45 Some experiments with LLMs, or why the world you were raised to survive in no longer exists - Siddharth Mishra-Sharma (MIT/IAIFI)

11:00 The Quantization Model of Neural Scaling - Eric Michaud (MIT)

11:15 Keeping AI under control through mechanistic interpretability - Max Tegmark (MIT)

11:30 Open discussion on broader societal impacts of LLMs, and implications for physics majors - Kevin Burdge (MIT) Joshua Borrow (MIT)
11:50 Lunch
Lunch
11:50 - 12:40
Room: 32-123
12:40
12:40 - 14:30
Room: 32-123
Contributions

12:40 Collaborating with ChatGPT to train an unsupervised machine learning algorithm on astronomical data - Emma Chickles (MIT)

12:55 Fine-Tuning LLMs for Understanding Fundamental Physics Concepts and Problems - Rumen Dangovski (MIT)

13:10 Building a platform for understanding scientific ideas by offloading increasing amounts of the research process to AI - Joshua Ramette (MIT)

13:25 Using natural language processing-based information to aid the detector characterization and commissioning activities at various gravitational wave observatories - Nikhil Mukund (MIT)

13:40 Interactive demo session on using chatGPT in teaching and research-type applications - Kevin Burdge (MIT)

13:50 Open discussion on use of LLMs in teaching and research - Joshua Borrow (MIT) Kevin Burdge (MIT)
14:30
14:30 - 17:20
Room: 32-123
Contributions

14:30 How LLMs Are Changing Teaching at MIT - Christopher Capozzola (MIT)

14:45 Why I’m excited (but nervous) about using GPT in my MIT teaching - Daniel Jackson (MIT)

15:00 Combing AI transformers for convincing character generation - Loyd Hoyt Waites (MIT)

15:15 AI Augmented Support for Computing Services - Julius Heitkoetter (MIT)

15:30 Answering student questions all-at-once! A case study for AI in the classroom - Louis Deslauriers (Harvard)

15:45 Learning the other way: on AI and acing MIT - David Koplow (MIT)

16:00 Conversation on the Use of ChatGPT in Fall 2023 Physics Teaching - Michelle Tomasik (MIT)

16:10 Capstone talk: LLMs for Physics, and Physics for LLMs - Stephen Wolfram (Wolfram Research)

17:10 Closing remarks - Kevin Burdge (MIT)