Stephen Weis factors RSA-896 with Claude

// 2h agoNEWS

Stephen Weis factors RSA-896 with Claude

Security researcher Stephen A. Weis announced the successful factorization of RSA-896, a 270-digit (896-bit) semiprime from the historic RSA Factoring Challenge. Using Anthropic's Claude to port CADO-NFS routines to GPUs and orchestrate up to 2,048 GPUs, the 30 GPU-year computation discovered both prime factors in 10 days.

// ANALYSIS

AI assistants have crossed the threshold from routine boilerplate generation into serious partners for distributed HPC porting and high-stakes mathematical computation.

–Highlights a viable blueprint for using LLMs to port complex legacy C/C++ scientific computing software to GPU kernels.
–Demonstrates modern distributed fleet coordination assisted by AI agents to achieve massive computational throughput.
–Confirms that while 896-bit moduli are now within reach of modest GPU clusters, modern cryptographic deployments using 2048-bit and 4096-bit keys remain practically secure due to exponential scaling.

// TAGS

cryptographyrsarsa-896claudenumber-theorygpusfactorizationcado-nfs

DISCOVERED

2h ago

2026-09-20

PUBLISHED

4h ago

2026-09-20

RELEVANCE

7/ 10

AUTHOR

madars

// KEEP READING

More AI developer news from the feed

EXPLORE FULL FEED

NEWS2h ago

GPT-6 Astra cracks unsolved 1941 Enigma cipher

Researcher Carter Leffen demonstrated the cryptanalysis capabilities of OpenAI's GPT-6 Astra by decrypting the German Army Enigma cipher MVUEH, an 82-letter message from July 1941 that had remained unsolved for over 80 years. Acting as an autonomous research partner, the model analyzed archival context, implemented simulation scripts, and searched key spaces around a critical crib to recover the complete settings and reveal a unit requesting marching orders.

OPEN SOURCE2h ago

MiniMax has open-sourced minimax-code, an evaluation and execution harness built to benchmark and test code generation models on complex software engineering tasks.

MiniMax has open-sourced minimax-code, an execution and evaluation harness designed to evaluate and run code generation models against challenging software engineering benchmarks. The repository provides standardized environments and automation to test agentic workflows, code synthesis, and multi-step issue resolution across real-world codebases.

RESEARCH2h ago

Researchers have introduced GPT-Policy, a framework that enables robots to learn new manipulation skills in-context from human demonstrations and feedback without updating model weights.

GPT-Policy is an embodied AI framework designed to achieve in-context robot learning using general-purpose vision-language models (VLMs) without fine-tuning or parameter updates. By processing varied context sources—such as human video demonstrations, recorded robot teleoperations, goal images, and interactive feedback—the system enables a robot to interpret a new task and generate executable, verifiable trajectories from arbitrary initial states. This approach sidesteps the costly, data-hungry retraining cycles traditionally required for robot policy adaptation, paving the way for adaptable generalist robots that learn on the fly during deployment.

Stephen Weis factors RSA-896 with Claude