This repository implements reinforcement learning environments with intentional reward hacking vulnerabilities and tests whether LLMs can identify when agents exploit these vulner ...
A complete, from-scratch Reinforcement Learning from Human Feedback (RLHF) pipeline built on a 0.5B-parameter language model, trained on a single free Kaggle T4 GPU (16 GB VRAM). The objective is not ...
From boat-racing bots to OpenAI models inside Hugging Face, here's how AI reward hacking works and why it matters.
Cisco has open sourced a behavior detection engine that watches AI agents, to help security teams prevent rogue agents from ...
Governments around the world are rushing to implement safety measures after AI technology found 'severe' vulnerabilities in a ...
A GitHub Copilot CLI user asked the tool to summarize a web page on October 6, 2026. Twenty-eight seconds later, the contents of a developer’s .env.prod file had been copied out and sent to a server ...
ThreatBook launches RedAgents, an AI platform that automates penetration testing to identify security weaknesses.
Every Friday afternoon, it took me two hours to create invoices and estimates. I would manually work in Word and Excel, copy ...
The hack left the nation’s premier law enforcement agency racing to respond as both the victim and the investigator of a murky group that threatened to expose agents’ personal information. By Devlin ...
A paintbrush hack managed to attract 77 million views, so he decided to put it through a real-world test. After drilling into the brush, filling it with paint and struggling to make the idea function, ...
All the Latest Game Footage and Images from Final Fantasy 6: A Complete Hack Games metadata is powered by IGDB.com We asked folks to tell us a story of how the series had affected their lives for the ...
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