521 | Matrices All The Way Down: The Limits of Large Language Models
GradCast

521 | Matrices All The Way Down: The Limits of Large Language Models

2025-09-09
Hosts Anthony Cruz and Scott Walters chat with Anemily Machina, a PHD candidate in Computer Sciences. Anemily puts our hosts on the spot with a word association game as part of summarizing their work on explainable AI, the limits of large language models (LLMs), and the risks of the ongoing AI bubble. For even more from Anemily on this topic, consider watching their two part series, available on Youtube: Part 1 | Part 2.   Recorded on Tuesday, September 2, 2025Produced by kirstyn seanor
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