AI Safety & Alignment
Reward Hacking Is a Specification Problem, Not a Bug
Reward hacking isn't a bug to patch—it's a specification problem. Learn why models game reward functions and how to fix the objective, not the exploit.
Topic
#RLHF
Everything tagged “RLHF” across News, Learn, Research and Interviews.
Reinforcement Learning
Reinforcement Learning for Enterprise Agents in 2026: From Reward Design to Production Reliability
How to design rewards, train policies, and ship reliable RL enterprise agents in 2026 — from composite reward functions to production observability.
AI Safety & Alignment
Constitutional AI and Beyond: How Safety Frameworks Are Shaping Model Development in 2026
Constitutional AI and Beyond: How Safety Frameworks Are Shaping Model Development in 2026
Robotics
Robot Learning from Human Demonstration: Current State and Benchmarks
A survey of robot learning from human demonstration covering imitation learning algorithms, the distribution shift problem, and leading benchmarks like CALVIN, RLBench, and OpenVLA.
Reinforcement Learning
RLHF vs RLAIF: Comparing Human Feedback and AI Feedback for LLM Alignment
A practical comparison of RLHF and RLAIF for LLM alignment in 2026. Cost benchmarks, quality trade-offs, and a decision framework for ML practitioners.