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In this talk from the recent workshop on Decoding Communication in Nonhuman Species IV, Adam Kalai (OpenAI) explores how to evaluate machine translation systems in the absence of ground-truth reference translations, focusing on the extreme case where only acoustic outputs are available, without contextual or visual grounding.
On August 1, 2025, Simons Institute Science Communicator in Residence Lakshmi Chandrasekaran sat down with Moni Naor, one of the participants in this summer’s research program on cryptography, for a wide-ranging discussion of Naor’s path in the field, intersections of cryptography and complexity, the cryptographic technology behind CAPTCHA, and highlights of his own research.
Greetings from Berkeley, where after a very busy summer of crypto and quantum fun, we’ve just kicked off our Fall 2025 programs on Complexity and Linear Algebra, and on Algorithmic Foundations for Emerging Computing Technologies.
This July, the Simons Institute co-hosted, in collaboration with Project CETI (Cetacean Translation Initiative) and Oceankind, the fourth annual workshop on Decoding Communication in Nonhuman Species. This series of workshops brings together researchers in machine learning, signal processing, data science, linguistics, robotics, and bioacoustics to explore the challenges and current state of the art in the study of nonhuman species communication.
In his contribution to the workshop on Decoding Communication in Nonhuman Species IV, Markus Freitag (Google) surveyed the rise of LLM-driven translation and its near-human performance in high-resource languages. He emphasized, however, that the “end of the language barrier” will require more than textual training data, especially for low-resource or nonhuman languages.
This talk will cover my experience doing systems research, cover the full gamut from the (occasionally) failures to the (frequent) amazing experiences.