Emily M. Bender — Language Models and Linguis...

The future of AI training is shaped by one constraint: keeping GPUs fed.In this episode, Lukas Biewald talks with CoreWeave SVP Corey Sanders about why general-purpose clouds start to break down under large-scale AI workloads.According to Corey, the industry is shifting toward a ...  Show more

The future of AI is physical. In this episode, Lukas Biewald talks to Nikolaus West, CEO of Rerun, about why the breakthrough required to get AI out of the lab and into the messy real world is blocked by poor data tooling. Nikolaus explains how Rerun solved this by adopting an En ...  Show more

In the world of linguistics, there are very few people with a resume as impressive as Adele Goldberg. She has had a major influence on the way we understand and study language. In this very special interview we talk about vocabulary learning, input vs output, and her language acq ...  Show more

Language not only defines humans as a species, placing us head and shoulders above even the most proficient animal communicators, but it also beguiles us with its endless mysteries. How did different languages come to be? Why isn't there just a single language? How does a languag ...  Show more

An Introduction to Language and Social Justice: What Is, What Has Been, and What Could Be (Routledge, 2023) is designed to provide the who, what, where, when, why, and how of the intersections of language, inequality, and social justice in North America, using the applied linguis ...  Show more

AIs built on Large Language Models have wowed by producing particularly fluent text. However, their ability to do this is limited in many languages. As the data and resources used to train a model in a specific language drops, so does the performance of the model, meaning that fo ...  Show more