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

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. RECOMMENDED MEDIA Open-Sourcing Highly Capable Foundation ModelsThis 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 AIBadLlama: cheaply removing safety fine-tuning from Llama 2-Chat 13BThis 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 capabilitiesCentre for the Governance of AISupports governments, technology companies, and other key institutions by producing relevant research and guidance around how to respond to the challenges posed by AIAI: Futures and Responsibility (AI:FAR)Aims to shape the long-term impacts of AI in ways that are safe and beneficial for humanityPalisade ResearchStudies the offensive capabilities of AI systems today to better understand the risk of losing control to AI systems forever RECOMMENDED YUA EPISODESA First Step Toward AI Regulation with Tom WheelerNo One is Immune to AI Harms with Dr. Joy BuolamwiniMustafa Suleyman Says We Need to Contain AI. How Do We Do It?The AI DilemmaYour Undivided Attention is produced by the Center for Humane Technology. Follow us on Twitter: @HumaneTech_ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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