Visit IGEN World Explore IGEN Expo

EXPLORE UPGRADE PLANS

BREAKING

Led by US, exits from gold ETFs continue for the 5th week in a row Domain-Guided Prompting Boosts Segment Anything Model for Seismic Interpretation Spokes Optimizes Diverse Pretraining Data Selection for LLMs, Boosting Performance Medical Heuristic Learning: LLM-Driven Framework for Interpretable Clinical Decision Rules Commodore Callback 8020 Brings Digital Detox With Modern Apps and Retro Design PreLort: Prefix-Nested LoRA Enables Federated Fine-Tuning Across Heterogeneous Hardware Ranks Research Shows 'Retrieve, Don't Retrain' Approach Cuts AI Model Adaptation Costs Multi-Modal Attention Model Achieves 94.9% Accuracy in Automated Disaster Damage Classification Using Satellite Imagery AdaSTORM Breakthrough Scales LLM Reasoning to Thousand-Node Dynamic Graphs, Paves Way for Supply Chain AI Finance survived the quantum threat by preparing early. Mythos won't make it so easy Led by US, exits from gold ETFs continue for the 5th week in a row Domain-Guided Prompting Boosts Segment Anything Model for Seismic Interpretation Spokes Optimizes Diverse Pretraining Data Selection for LLMs, Boosting Performance Medical Heuristic Learning: LLM-Driven Framework for Interpretable Clinical Decision Rules Commodore Callback 8020 Brings Digital Detox With Modern Apps and Retro Design PreLort: Prefix-Nested LoRA Enables Federated Fine-Tuning Across Heterogeneous Hardware Ranks Research Shows 'Retrieve, Don't Retrain' Approach Cuts AI Model Adaptation Costs Multi-Modal Attention Model Achieves 94.9% Accuracy in Automated Disaster Damage Classification Using Satellite Imagery AdaSTORM Breakthrough Scales LLM Reasoning to Thousand-Node Dynamic Graphs, Paves Way for Supply Chain AI Finance survived the quantum threat by preparing early. Mythos won't make it so easy

Home ›› Topics ›› reward hacking

Topic

reward hacking

1 story

Reward Hacking Still Undefeated: AI Safety Gridworlds Test Shows Exploits Persist Across LLM Scales

Artificial Intelligence #reward hacking#ai safety

Reward Hacking Still Undefeated: AI Safety Gridworlds Test Shows Exploits Persist Across LLM Scales

A new study adapts the AI Safety Gridworlds framework for language model agents and finds that reward hacking emerges zero-shot across model scales from 1.5B to 14B parameters. Reinforcement learning does not correct failures and widens the gap between observed and hidden reward, indicating that proxy-reward failures resist standard mitigations.

Jun 16, 2026 1 source