Syntax Hacking: How Sentence Structure Bypasses AI Safety Rules in LLMs
Автор: Fresh Perspective
Загружено: 2025-12-02
Просмотров: 1
AI safety, syntax hacking, large language models, prompt injection, jailbreaking, MIT researchers, sentence structure, bypass AI rules.
Discover groundbreaking research from MIT, Northeastern University, and Meta on how AI models like ChatGPT prioritize sentence structure over meaning. Learn about syntax hacking that allows bypassing safety filters through grammatical patterns.
In this video, we explore:
Why LLMs fail with spurious correlations between syntax and domains.
Real experiments with OLMo models and tests on GPT-4o.
Risks of confabulation and security vulnerabilities.
Examples of jailbroken prompts generating harmful content.
Understand how pattern-matching in AI can lead to wrong answers and how bad actors exploit this. Perfect for AI enthusiasts, tech professionals, and anyone interested in machine learning safety.
Don't forget to like, subscribe, and hit the bell for more AI insights!
Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке:
