talks

I was invited give a talk to OpenAI’s Economic Reserach team. The talk involved how to evaluate and benchmark large language models for depth of conceptual understanding. Here are the slides.

I presented work on two mid-stage projects at the MIT Algorithms and Behavioral Science Coffee (Economics and Laboratory for Information and Decision Systems). The talk involved identifying a principled framework for unearthing large amounts of incoherence from language models, as well as identifying failures in analogical reasoning. Slides are available here.

I gave an invited talk at Harvard’s GETTING-Plurality group (Ash Center). I talked about potemkin understanding in large language models. Here are the slides.

I gave a talk at the 46th Annual Meeting of the Cognitive Science Society. My talk introduced a new theoretical model that frames science as a collective information-gathering process, using a multi-armed bandit framework. Here are the slides.