AI evaluation
Source reports covering AI evaluation. Stories will appear when analysis and community reactions are ready.
5 reports · page 1 of 1
Connected topics are temporarily unavailable. You can still browse stories below.
Source reports
Can a MUD evaluate LLMs? A $99 proof of concept
tool
5 min read
CrucibleBench places language models in a persistent MUD environment where NPCs can remember interactions, accumulate trust, and leave traces of mistakes. The system evaluates AI performance over 50 turns with hidden social objectives, utilizing established technology in innovative ways.
Blatant AI slop just won a 25k USD DeepMind Kaggle Grand Prize
research
1 min read
High-quality benchmarks are being designed to assess cognitive abilities of frontier models, focusing on reasoning, acting, and judgment rather than just recall. These benchmarks aim to measure progress toward artificial general intelligence (AGI).
You can just say it
opinion
3 min read
Arguments exist for valuing human creativity over AI-generated output, suggesting that humans excel in certain roles due to their ability to perform tasks with greater nuance and style. Despite similarities in output, human artifacts are often preferred for their subtle artistic qualities that AI may struggle to replicate.
The AI Marketing BS Index
opinion
2 min read
The AI Marketing BS Index provides a scoring system to evaluate marketing claims related to AI, similar to John Baez’s Crackpot Index for physics. It aims to identify and critique exaggerated or misleading marketing language in the AI industry.
First Proof
research
1 min read
A set of ten research-level mathematics questions has been created to evaluate the capabilities of current AI systems in providing correct answers. The answers to these questions are known to the authors but will remain encrypted temporarily.