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Advanced. Deep dive for people who know the field.
388K views7 months ago10 recommendations
SecurityAI and machine learningTransformers and LLMsExploits and vulnerabilitiesWeb and application security
Nicholas Carlini explains how modern large language models can automate the discovery and exploitation of zero-day vulnerabilities in heavily tested software.
Nicholas Carlini, Research Scientist, Anthropic, speaks at [un]prompted 2026 on: Black-hat LLMs. Large language models are now capable of automating attacks that were previously only possible by human adversaries. In this talk, I discuss several ways that adversaries could mis-use current models in order to cause harm both at a larger scale and at a lower cost than they do currently. For example, we find that recent state-of-the-art models can now find 0-day vulnerabilities in large software projects that have been extensively tested by humans for decades. These new capabilities will alter the threat landscape and require we rethink security in the coming years.What people say. Recommended as an eye-opening demonstration of how advanced LLMs have become at finding and exploiting real-world security vulnerabilities.
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