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

<p>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? </p><p><strong>Correction:</strong> 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.</p><p> </p><p><strong>RECOMMENDED MEDIA</strong> </p><p><a href="https://elizabethseger.com/open-source-model-sharing/">Open-Sourcing Highly Capable Foundation Models</a></p><p>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</p><p><a href="https://arxiv.org/abs/2311.00117">BadLlama: cheaply removing safety fine-tuning from Llama 2-Chat 13B</a></p><p>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</p><p><a href="https://www.governance.ai/">Centre for the Governance of AI</a></p><p>Supports governments, technology companies, and other key institutions by producing relevant research and guidance around how to respond to the challenges posed by AI</p><p><a href="https://www.ai-far.org/">AI: Futures and Responsibility (AI:FAR)</a></p><p>Aims to shape the long-term impacts of AI in ways that are safe and beneficial for humanity</p><p><a href="https://palisaderesearch.org/">Palisade Research</a></p><p>Studies the offensive capabilities of AI systems today to better understand the risk of losing control to AI systems forever</p><p> </p><p><strong>RECOMMENDED YUA EPISODES</strong></p><p><a href="https://www.humanetech.com/podcast/a-first-step-toward-ai-regulation-with-tom-wheeler">A First Step Toward AI Regulation with