arXiv Notify me• Jan 24, 2025paper

Humanity's Last Exam

Alexandr Wang(guest)

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Executive Summary

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The Obsolescence of Current AI Benchmarks Pushing the Frontier with Humanity's Last Exam (HLE)

7 quotes

Concerns Raised

Current AI benchmarks are no longer sufficient to measure state-of-the-art model capabilities.
State-of-the-art LLMs still have significant capability gaps when compared to human experts on complex academic questions.
Existing evaluation methods may overstate the true reasoning abilities of large language models.

Opportunities Identified

The new HLE benchmark provides a more accurate tool for measuring progress at the frontier of AI.
Identifying specific weaknesses in current LLMs can guide future research and development.
The public release of HLE allows for standardized, community-wide evaluation of advanced models.

Key Themes

Research Findings7

Humanity's Last Exam (HLE) is a new multi-modal benchmark at the frontier of human knowledge, designed to be the final closed-ended academic benchmark of its kind.

State-of-the-art large language models demonstrate low accuracy and calibration on the Humanity's Last Exam (HLE) benchmark.

Large language models now achieve over 90% accuracy on popular benchmarks like MMLU.

Existing popular benchmarks, such as MMLU, are no longer difficult enough to effectively measure the capabilities of state-of-the-art large language models.

The Humanity's Last Exam (HLE) benchmark consists of 2,500 questions covering subjects such as mathematics, humanities, and the natural sciences.

Questions in the Humanity's Last Exam (HLE) benchmark have unambiguous, verifiable solutions and are designed to be difficult to answer using simple internet retrieval.

The Humanity's Last Exam (HLE) benchmark has been publicly released at lastexam.ai.

Topics

AI Benchmarking Large Language Models (LLMs)Model Evaluation Artificial General Intelligence (AGI)Humanity's Last Exam (HLE)MMLU Machine Learning AI Capabilities AI Safety Natural Language Processing (NLP)Multi-modal AI Knowledge Representation Automated Grading AI Research

Processed Jul 28, 2026Daily intelligence brief → yt-dlp + mlx-whisper + Gemini

Humanity's Last Exam

Continue your research

Concerns Raised

Opportunities Identified

Key Themes

The Obsolescence of Current AI Benchmarks

Pushing the Frontier with Humanity's Last Exam (HLE)

Designing for Reasoning over Retrieval

Revealing the AI-Human Capability Gap

Research Findings7

Topics