The Cognition research team has successfully factored RSA-260, a 260-digit number. This marks a new public record for the largest RSA Factoring Challenge problem solved, surpassing the previous record of RSA-250 set in February 2020. The factorization was achieved using a novel GPU lattice siever.
The team developed a GPU lattice siever that significantly optimizes the factoring process. This new technology reduces the cost of factoring numbers by a factor of 10 compared to the previous public state of the art. This efficiency improvement was a key enabler for solving RSA-260.
While RSA-260 has been factored, current state-of-the-art RSA public keys are 2048-bit (approximately 617 digits), and 1024-bit RSA was deprecated in 2013. The research suggests that factoring RSA-1024 could be feasible for hyperscalers or frontier AI labs at a cost of approximately $30 million per number. However, RSA-2048 remains significantly more difficult, estimated to be a billion times harder than RSA-1024, and is not meaningfully affected by this work.
The project utilized an AI agent named Devin, which autonomously handled measurements, cluster operations, and optimization. This demonstrates Devin's capability as a software engineer in solving complex problems at the intersection of computational number theory and GPU performance engineering, substituting for what would typically be a multi-month effort by specialized domain experts.
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Researchers successfully factored RSA-260, a 260-digit number, using a new GPU lattice siever that reduces factoring costs by 10x. This achievement sets a new public record for RSA Factoring Challenge problems and demonstrates the capabilities of AI in complex computational number theory tasks.