Make a gift in honor of Shafi
The 2024 annual fund will honor the contributions of Simons Institute Director Emerita Shafi Goldwasser, who stepped down this summer. All gifts will be matched 1-to-1.
Call for Proposals: Circles
Circles, the Simons Institute — Jane Street Small Group Collaborations, will support groups of 3–6 researchers to collaborate on ambitious research projects.
Upcoming Events
Workshops & Symposia
Program
Modern Paradigms in Generalization
Program
Logic and Algorithms in Database Theory and AI
Program
Special Year on Large Language Models and Transformers, Part 2
Other Events
Program
Special Year on Large Language Models and Transformers, Part 1
Program
Modern Paradigms in Generalization
Program
Special Year on Large Language Models and Transformers, Part 1
News
The New York Public Library sells a magnet printed with words by the American author Fran Lebowitz: “Think before you speak. Read before you think.” OpenAI’s latest offering — the o1 suite of large language models — seems to be taking this appeal to heart. The models, according to OpenAI, are “designed to spend more time thinking before they respond.” This allows the models to be more effective when trying to solve complex problems that require them to reason.
Greetings from the land of the Ohlone. As the year draws to a close, I am grateful for all of you who make up our...
Three researchers have figured out how to craft a proof that spreads out information while keeping it perfectly...
Quanta Magazine
Current Programs
Organizers
+4
Peter Bartlett,
Daniel Hsu
and 5 more
Organizers
+3
Boaz Barak,
Yejin Choi
and 4 more
Research Pods
Researchers
+3
Peter Bartlett,
Keaton Ellis
and 4 more
Researchers
+9
Nikolas Breuckmann,
Anthony Chen
and 10 more
Researchers
+1
Shafi Goldwasser,
Venkatesan Guruswami
and 2 more
Future Programs
SimonsTV
Speculations on Test-Time Scaling | Richard M. Karp Distinguished Lecture
Learning to Reason with LLMs
Scalable Extraction of Training Data from (Production) Language Models
Challenges in Making LLMs Safe and Robust
Other announcements
COVID-19 Update
If you think you have been exposed or are a close contact, you can take an over-the-counter rapid antigen test 3-5 days after exposure. People who have symptoms should stay home, wear a mask, and get tested.
There are currently no masking requirements on campus. Regardless of COVID-19 case rates, the CDC recommends masking:
- If you have symptoms of a respiratory infection, such as a cough, runny nose, or sore throat
- In crowded indoor settings, such as in airplanes, trains, and buses
- In public areas around people who are older or have medical conditions that put them at increased risk for severe COVID-19
- For 10 days after having a significant exposure to someone who has tested positive for COVID-19
- If you have tested positive, see additional guidance at What to Do If You Test Positive for COVID-19 (link is external)
Participate
Applications are welcome for postdoctoral fellowships in the research pods on Quantum Computing, on Machine Learning, and on Resilience.
Learn more about how to participate in the life of the Institute.
Applications are invited for Circles, the Simons Institute — Jane Street Small Group Collaborations, which will support groups of 3–6 researchers to collaborate on ambitious research projects.
Related UC Berkeley Courses and Seminar Series, Fall 2024
Randomness and Computation (CS 271)
Alistair Sinclair
Tuesday/Thursday, 9:30 – 11 a.m., Soda 310
Cryptography (CS 276)
Sanjam Garg
Tuesday/Thursday, 11:00 a.m. – 12:30 p.m., Soda 405
Learning Problems in Quantum Computing (CS 294)
John Wright
Monday/Wednesday, 10:30 a.m. – 12 p.m., Soda 405
Algorithmic Aspects of Machine Learning (CS 294)
Ankur Moitra
Tuesday/Thursday, 12:30 – 2 p.m., Wheeler 102
Large Language Model Agents (CS 294/194-196)
Dawn Song
Monday, 3 – 5:00 p.m., Latimer 120
Convex Optimization in the Age of LLMs (EE 227BT)
Benjamin Recht
Tuesday/Thursday, 2 – 3:30 p.m., 155 Anthro/Art Practice
Theory Seminar (CS 298)
Avishay Tal and Prasad Raghavendra
Wednesday, 12 – 1:30 p.m., Soda 438
EECS Colloquium (CS 298)
Jelani Nelson
Wednesday, 4 – 5 p.m., Soda 306
COVID-19 Update
If you think you have been exposed or are a close contact, you can take an over-the-counter rapid antigen test 3-5 days after exposure. People who have symptoms should stay home, wear a mask, and get tested.
There are currently no masking requirements on campus. Regardless of COVID-19 case rates, the CDC recommends masking:
- If you have symptoms of a respiratory infection, such as a cough, runny nose, or sore throat
- In crowded indoor settings, such as in airplanes, trains, and buses
- In public areas around people who are older or have medical conditions that put them at increased risk for severe COVID-19
- For 10 days after having a significant exposure to someone who has tested positive for COVID-19
- If you have tested positive, see additional guidance at What to Do If You Test Positive for COVID-19 (link is external)
Participate
Applications are welcome for postdoctoral fellowships in the research pods on Quantum Computing, on Machine Learning, and on Resilience.
Learn more about how to participate in the life of the Institute.
Applications are invited for Circles, the Simons Institute — Jane Street Small Group Collaborations, which will support groups of 3–6 researchers to collaborate on ambitious research projects.
Related UC Berkeley Courses and Seminar Series, Fall 2024
Randomness and Computation (CS 271)
Alistair Sinclair
Tuesday/Thursday, 9:30 – 11 a.m., Soda 310
Cryptography (CS 276)
Sanjam Garg
Tuesday/Thursday, 11:00 a.m. – 12:30 p.m., Soda 405
Learning Problems in Quantum Computing (CS 294)
John Wright
Monday/Wednesday, 10:30 a.m. – 12 p.m., Soda 405
Algorithmic Aspects of Machine Learning (CS 294)
Ankur Moitra
Tuesday/Thursday, 12:30 – 2 p.m., Wheeler 102
Large Language Model Agents (CS 294/194-196)
Dawn Song
Monday, 3 – 5:00 p.m., Latimer 120
Convex Optimization in the Age of LLMs (EE 227BT)
Benjamin Recht
Tuesday/Thursday, 2 – 3:30 p.m., 155 Anthro/Art Practice
Theory Seminar (CS 298)
Avishay Tal and Prasad Raghavendra
Wednesday, 12 – 1:30 p.m., Soda 438
EECS Colloquium (CS 298)
Jelani Nelson
Wednesday, 4 – 5 p.m., Soda 306