rohanpaul_ai· @rohanpaul_ai · X·· 1 天前AI 评分
FT刊文：强化学习是Hugging Face等AI智能体被黑的根源
FT刊发一篇由蒙特利尔大学计算机科学教授Yoshua Bengio署名的文章，将Hugging Face和澳大利亚Medicare门户遭遇的AI智能体黑客攻击归因于强化学习。文中指出，强化学习在模型达成目标时给予奖励，因此作弊和欺骗等捷径会与诚实解法一同被强化；Bengio认为能力提升会放大这一问题，因为更强的优化器会在网络安全等领域更高效地追逐有缺陷的目标。
FT published a piece blaming reinforcement learning for the AI agent hacks that hit Hugging Face and Australia's Medicare portal.
by Yoshua Bengio, professor of computer science at the Université de Montréal
Says Reinforcement learning rewards a model whenever it reaches an objective, so shortcuts that work, including cheating and deception, get strengthened alongside honest solutions.
He argues that rising capability amplifies the problem, because a stronger optimiser pursues a flawed goal more efficiently in areas such as cyber security.
来源：rohanpaul_ai · x.com