80,000 Hours Podcast cover image

#195 – Sella Nevo on who's trying to steal frontier AI models, and what they could do with them

80,000 Hours Podcast

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Machine Learning Infrastructure: A Security Crisis

Machine learning infrastructure is alarmingly insecure compared to other software infrastructures, primarily due to the rapid pace of industry advancement. Many companies prioritize speed to market, leading to inadequate auditing, particularly of GPU firmware. The software that supports trading and training processes suffers from extensive dependencies, making it vulnerable to supply chain attacks. Some tools explicitly state that they are not intended for secure environments, yet they are essential for machine learning operations. Consequently, the security standards in machine learning infrastructure lag significantly behind even the less-than-ideal practices of general software systems.

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