Categories: AI/ML News

AIs behaving badly: An AI trained to deliberately make bad code will become bad at unrelated tasks, too

Artificial intelligence models that are trained to behave badly on a narrow task may generalize this behavior across unrelated tasks, such as offering malicious advice, suggests a new study. The research probes the mechanisms that cause this misaligned behavior, but further work must be done to find out why it happens and how to prevent it.

Larger language models do in-context learning differently

May 16, 2023

In "FAANG"

Poly-View Contrastive Learning

Contrastive learning typically matches pairs of related views among a number of unrelated negative views. Views can be generated (e.g. by augmentations) or be observed. We investigate matching when there are more than two related views which we call poly-view tasks, and derive new representation learning objectives using information maximization…

May 3, 2024

In "FAANG"

UniPi: Learning universal policies via text-guided video generation

April 13, 2023

In "FAANG"

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