Ep 17 | Nicholas Carlini - Black-hat LLMs | [un]prompted 2026 episode artwork

EPISODE · May 28, 2026 · 25 MIN

Ep 17 | Nicholas Carlini - Black-hat LLMs | [un]prompted 2026

from [un]prompted Security Practitioner Con 2026 · host [un]prompted

Day 1 | Stage 1Large language models are now capable of automating attacks previously only possible by human adversaries. Discusses several ways adversaries could misuse current models to cause harm at larger scale and lower cost than currently possible. Recent state-of-the-art models can find 0-day vulnerabilities in large software projects extensively tested by humans for decades. These new capabilities alter the threat landscape and require rethinking security.Nicholas Carlini is Research Scientist, Anthropic.Watch on YouTube: https://www.youtube.com/watch?v=1sd26pWhfmg

Day 1 | Stage 1Large language models are now capable of automating attacks previously only possible by human adversaries. Discusses several ways adversaries could misuse current models to cause harm at larger scale and lower cost than currently possible. Recent state-of-the-art models can find 0-day vulnerabilities in large software projects extensively tested by humans for decades. These new capabilities alter the threat landscape and require rethinking security.Nicholas Carlini is Research Scientist, Anthropic.Watch on YouTube: https://www.youtube.com/watch?v=1sd26pWhfmg

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Ep 17 | Nicholas Carlini - Black-hat LLMs | [un]prompted 2026

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Day 1 | Stage 1Large language models are now capable of automating attacks previously only possible by human adversaries. Discusses several ways adversaries could misuse current models to cause harm at larger scale and lower cost than currently...

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