Researchers Identify Prehistoric Symbol Systems Predating Writing

An international team led by Christian Bentz and Ewa Dutkiewicz analyzed more than 3,000 engraved signs on 260 objects dated 34,000–45,000 years, publishing results in Proceedings of the National Academy of Sciences. They report Paleolithic sign sequences show statistical properties and information density comparable to proto-cuneiform, suggesting symbolic encoding predates Mesopotamian writing by tens of thousands of years. The study applied digitized databases, statistical modelling and machine learning.
Key Points
- 1Analyzed over 3,000 signs on 260 Paleolithic objects dated 34–45,000 years
- 2Found statistical similarity in information density with proto-cuneiform, indicating comparable symbolic complexity
- 3Recommend reassessing timelines and applying quantitative sign-analysis methods in archaeological research
Scoring Rationale
Strong novelty and PNAS peer-review boost impact, but limited immediate relevance to core AI/ML workflows.
Sources
Public references used for this report.
Practice interview problems based on real data
1,625 SQL & Python problems across 15 industry datasets — the exact type of data you work with.
Try 250 free problems