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Can DNA from cave paintings tell us who the artists were?

Ancient painting of a bison from Altamira cave in Spain. luisrphoto Perhaps the most evocative windows into the minds of our ancient ancestors are the images they painted on the walls of caves – renderings known simply as rock art or cave paintings. Rock art, which is found across the world, offers snapshots of human history, preserving representations of cultural traditions, symbolic communication and social identity. Common subjects include animals, hunting scenes and hand stencils – thought…

Where: Indonesia, Portugal, Spain, Russia

Exact coordinates

indonesia: -0.790, 113.920
portugal: 39.400, -8.220
spain: 40.460, -3.750
russia: 61.520, 105.320

Read it at The Conversation See this on the map

What might happen next? AI-generated

These scenarios are written by an AI language model from the headline and summary above. They are not predictions from the newsroom, and they are not evidence of anything. Every one is given a deadline and checked against later coverage, and the score is published on the ledger — including the ones that miss.

  • Awaiting deadline 30% Confirmation of Hominin Presence

    Researchers successfully sequence DNA from the Maltravieso hand stencil and identify it as belonging to a Neanderthal rather than Homo sapiens. This finding would immediately resolve the long-standing debate over the authorship of that specific piece of art. The scientific community would release a joint paper confirming the species identification.

    Watch for: A press release from a major university detailing Neanderthal DNA confirmation from Maltravieso cave art. · A new headline reporting the successful identification of the hominin species in the cave wall samples.

  • Awaiting deadline 35% Contamination Ruling Dominance

    A peer-reviewed paper is published concluding that the DNA found in the Spanish and Portuguese sites is overwhelmingly recent contamination or environmental transfer. This would necessitate a shift in focus, confirming that while the technique works, it cannot yet link DNA to the original artistic creation. Funding for direct artist identification is paused.

    Watch for: A scientific journal publishes a follow-up study stating that modern human DNA is the dominant signal in the cave wall samples. · A major archaeological funding body announces a temporary halt to projects attempting to link ancient DNA to specific rock art.

  • Awaiting deadline 25% New Population Mapping

    The recovered DNA from Covarón cave allows scientists to map a previously unknown migration route or population structure of Late Palaeolithic hunter-gatherers. The study focuses not on *who* painted, but *who* lived in the immediate area, providing a broad demographic sketch. This shifts the focus from individual artists to community movements.

    Watch for: A map or demographic chart is published showing the dispersal patterns of the ancient western hunter-gatherers identified in the cave DNA. · A presentation at a major international archaeology conference detailing new population genetic data from the Spanish cave sites.

  • Awaiting deadline 10% Cross-Disciplinary Tech Integration

    The research team partners with an AI firm to develop a predictive model linking pigment degradation patterns (chemical analysis) with DNA presence (genetic analysis). This counter-intuitive move attempts to filter contamination by only accepting DNA signatures correlated with the chemical age of the paint, offering a probabilistic link. This is a pivot away from direct identification towards computational inference.

    Watch for: A joint announcement is made between a leading archaeological institute and a specialized AI research laboratory regarding the application of machine learning to cave art data. · A technical white paper is released detailing a new algorithm designed to correlate pigment composition with surrounding ancient genetic material.

Generated by gemma-4-E4B-it-qat-UD-Q4_K_XL.gguf on 2026-08-10. Checked against later coverage after 2026-08-24. See how these forecasts score.

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