Will a Russian actor be publicly attributed with stealing weights from a frontier AI developer before 2030?
GeopolíticaIAOne-OffTecnologíaRusia / UcraniaEuropa3a
Manifold MarketsSin KYCDatos de resolución verificadosBien calibradoPronóstico comunitario actualNo 51.9%
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Actualizado hace 9 horas
Desactualizado30 oct 25, 11:42 UTC1 ene 30, 23:59 UTC
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Model weights represent the core intellectual property of frontier AI systems—the product of hundreds of millions of dollars in compute and research.
- Once stolen, weights can be deployed without replicating the training process, making them extremely high-value targets for cyber espionage.
- RAND has identified 38 distinct attack vectors for model weight theft, ranging from insider threats to supply chain compromises.
- As of 2025, most frontier AI labs maintain security below the standards RAND recommends for defending against state-level threats.
- Russia currently has no indigenous ability to produce compute, and is entirely reliant on smuggling or Chinese exports for compute.
- This strictly limits its ability to train models near the frontier of capabilities.