The Promise and Peril of Open Source AI with Elizabeth Seger and Jeffrey Ladish

Your Undivided Attention

As AI development races forward, a fierce debate has emerged over open source AI models. So what does it mean to open-source AI? Are we opening Pandora’s box of catastrophic risks? Or is open-sourcing AI the only way we can democratize its benefits and dilute the power of big tech?

Correction: When discussing the large language model Bloom, Elizabeth said it functions in 26 different languages. Bloom is actually able to generate text in 46 natural languages and 13 programming languages - and more are in the works.

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Open-Sourcing Highly Capable Foundation Models

This report, co-authored by Elizabeth Seger, attempts to clarify open-source terminology and to offer a thorough analysis of risks and benefits from open-sourcing AI

BadLlama: cheaply removing safety fine-tuning from Llama 2-Chat 13B

This paper, co-authored by Jeffrey Ladish, demonstrates that it’s possible to effectively undo the safety fine-tuning from Llama 2-Chat 13B with less than $200 while retaining its general capabilities

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AI: Futures and Responsibility (AI:FAR)

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Palisade Research

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Your Undivided Attention is produced by the Center for Humane Technology. Follow us on Twitter: @HumaneTech_