Simon Willison's Weblog·1 month ago·
27
● 37 sources
Anthropic researchers used Claude Mythos to discover cryptographic weaknesses in the HAWK algorithm and a reduced-version of AES through iterative prompting. The model spent 60 hours on the task at an estimated cost of $100,000 in API fees, with human prompts primarily serving to prevent the model from abandoning the search. The findings have no practical security impact on current systems but demonstrate how language models can assist in mathematical cryptanalysis research when properly guided.
A field report examines how scientists are adopting AI coding agents to modernize scientific computing workflows. The report covers applications across genomics and other scientific domains where AI agents accelerate software development and discovery. Scientists can now deploy AI agents to handle routine coding tasks, freeing them to focus on research strategy and interpretation.
AI2 released the OlmoEarth Platform, infrastructure for running geospatial inference jobs using foundation models pretrained on 10 terabytes of satellite data. The platform processes continent-scale areas in roughly one day at a cost of fractions of a penny per square kilometer, and a recent North America wildfire-risk mapping job achieved a 155× speedup using 19,600 CPUs and 994 GPUs in parallel. Organizations in conservation, food security, and climate monitoring can now apply geospatial models without building their own engineering infrastructure.
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