Shmuel Weinberger: Intelligence Natural and Artificial Early Lessons from the First Proof Project @iashuji
Shmuel Weinberger: Intelligence Natural and Artificial Early Lessons from the First Proof Project  @iashuji
Uploaded June 2026 | Updated September 2026, 3 days ago
The 25th Midrasha Mathematicae on Groups, Expanders and Codes -- Celebrating Alex Lubotzky's 70th birthday.
Day 3, Session 5
Speaker: Shmuel Weinberger (Chicago)
Title: Intelligence, Natural and Artificial, Early Lessons from the First Proof Project.
Abstract: As far back as we have records of people’s thoughts, they have succeeded – using a variety of methods – in having humans achieve intellectual feats that supersede natural human abilities. Modern AI promises much more – the analog for thought of the replacement of levers by machinery for physical labor. The First Proof project , which started in February, aims to assess current capabilities of AI’s in doing research math, and inform the study of how to best use AIs for research. In this talk, I will describe my experiences and explore some possible implications.
Shmuel Weinberger: Intelligence Natural and Artificial Early Lessons from the First Proof ProjectDan Turner & Amir Jarjoui: Analyzing big data is not only the stats, but also understanding the dataIdo Erev: On the value of the rationality assumption, and the impact of experienceOri Parzanchevski (HUJI): Ramanujan graphs - 40 years laterUri Bader (Weizmann & Maryland): Higher Property T, Banach representations and applicationsIrit Dinur (IAS Princeton): High Dimensional Expansion and Local TestabilitySession 3Itzhak Gilboa: Reasoning in Face of UncertaintyDay 2 Session 1Micha Berkooz - Double scaled SYK: RMT and spacetime aspectsDaniel Jafferis - Session III: Lorentzian versus Euclidean gravityDay 3 Session 2
Israel Institute for Advanced Studies |

Shmuel Weinberger: Intelligence Natural and Artificial Early Lessons from the First Proof Project

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