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Adversarial Machine Learning

Adversarial Machine Learning

FromOxide and Friends


Adversarial Machine Learning

FromOxide and Friends

ratings:
Length:
84 minutes
Released:
Mar 27, 2024
Format:
Podcast episode

Description

Nicholas Carlini joined Bryan, Adam, and the Oxide Friends to talk about his work with adversarial machine learning. He's found sequences of--seemingly random--tokens that cause LLMs to ignore their restrictions! Also: printf is Turing complete?!In addition to Bryan Cantrill and Adam Leventhal, we were joined by special guest Nicholas Carlini.If we got something wrong or missed something, please file a PR! Our next show will likely be on Monday at 5p Pacific Time on our Discord server; stay tuned to our Mastodon feeds for details, or subscribe to this calendar. We'd love to have you join us, as we always love to hear from new speakers!
Released:
Mar 27, 2024
Format:
Podcast episode

Titles in the series (100)

Oxide hosts a weekly Twitter Space where we discuss a wide range of topics: computer history, startups, Oxide hardware bringup, and other topics du jour. These are the recordings in podcast form. Join us Mondays at 5pm PT for an hour or so to catch us live.