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Greg Burnham
Researcher

Greg Burnham

Senior Researcher at Epoch AI

LinkedIn@GregHBurnham

Explained FrontierMath benchmark for measuring AI mathematical reasoning capabilities and discussed AI's advancement in solving PhD-level math problems.

4
Mentions
4
Articles
3
Outlets
Nov 2025 — Oct 2026
Coverage
Neutral
Sentiment

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How media typically covers Greg Burnham

Article Types

  • news1
  • analysis1

Media Angles

  • technical2

Narrative Framing

  • breakthrough1
  • trend1

Appears In

Sentiment Distribution

Based on 4 scored articles

Neutral 25%Mixed 75%

Associated AI Models

GPT-5.21Claude Opus 4.61Gemini Deep Think1Aletheia1Claude1Gemini 31

Articles

Most recent first

Articles Written

Greg Burnham as author

Benchmark Scores = General Capability + Claudiness
Epoch AIanalysisneutralNov 24, 2025

Benchmark scores across AI models are dominated by a single 'General Capability' dimension, with a secondary 'Claudiness' dimension that captures Claude's unique performance profile across agentic tasks, vision, and math.

“Author of "Benchmark Scores = General Capability + Claudiness" in Epoch AI”

AI ResearchFoundation ModelsBenchmarkingGenerative AI

Also Mentioned In

Referenced in coverage

Can AI automate Epoch?
Epoch AIcautiousOct 9, 2026

“Greg Burnham co-authored the Epoch Automation Reports evaluating frontier and open-weight models on real work tasks.”

Research note: Have We Seen an Acceleration in Discoveries?
METRcautiousAug 24, 2026

“Provided helpful comments on METR acceleration research.”

How Far Can AI Go in Solving Math Mysteries?
IEEE SpectrumnewscautiousFeb 26, 2026

State-of-the-art AI models now solve over 40% of FrontierMath benchmark problems, up from 2% at launch, while Google DeepMind's Aletheia achieved publishable PhD-level mathematics autonomously, forcing the need for new, harder benchmarks.

“Explained FrontierMath benchmark for measuring AI mathematical reasoning capabilities and discussed AI's advancement in solving PhD-level math problems.”

AI ResearchAI SafetyFoundation ModelsBenchmarking and Evaluation