Base64Bench: How good are LLMs at base64, and why care about it?
Introduces Base64Bench, showing frontier LLMs can encode and decode base64 without tools or reasoning, which could let scheming agents hide exfiltrated data from weaker monitors.
AI research and discussion on LessWrong. www.lesswrong.com
Introduces Base64Bench, showing frontier LLMs can encode and decode base64 without tools or reasoning, which could let scheming agents hide exfiltrated data from weaker monitors.
Proposes Deliberative Credit Assignment, a reviewer-model training method that rewards causally useful reasoning steps so that faithful chain-of-thought becomes advantageous. It is a theoretical proposal with planned experiments.