The Evolution of Reward Hacking and Jailbreak Research in AI
From specification gaming in classical RL to deceptive alignment and jailbreaks in LLMs—a survey of how reward hacking has become a central challenge in AI s...
From specification gaming in classical RL to deceptive alignment and jailbreaks in LLMs—a survey of how reward hacking has become a central challenge in AI s...
“Can LLMs reason?” is one of those questions that generates more heat than light, mostly because people mean very different things by “reasoning.” This post ...
A comprehensive guide to sequence-based recommendation techniques and key research papers, tracing the evolution from early statistical methods to modern tra...
This era represents a pivotal shift toward production-ready, billion-scale architectures that power today’s major platforms. This comprehensive guide covers ...
Explore how deep learning transformed ranking and recommendation systems, from Wide & Deep to BERT4Rec, covering core technologies powering platforms lik...