Hacker News·5 min read·hard

Can a MUD evaluate LLMs? A $99 proof of concept

D
Davisb135
Can a MUD evaluate LLMs? A $99 proof of concept
AI Summary

CrucibleBench is a new evaluation framework that uses Multi-User Dungeons (MUDs) to test the social and logical capabilities of Large Language Models. By placing AI agents in a persistent text-based world, researchers can measure trust, memory, and goal-oriented behavior more effectively than with static benchmarks.

CrucibleBench places language models in a persistent MUD, a text world where NPCs remember, trust accumulates, and mistakes leave traces , and scores what they do over 50 turns with hidden social objectives.

Continue reading on Headlinne

Create a free account to read the full article.

Read full article →
technologyscience

Get the full story

Sign up for Headlinne to unlock AI insights, political bias analysis, and your personalized news feed.

Create free account

Already have an account? Sign in

Can a MUD evaluate LLMs? A $99 proof of concept — Headlinne — headlinne